Session 1 AI Based Learning Technologies Fall 2026 — Transcript

Full transcript

1. 0:03Thank you for joining me to our first
2. 0:06session of AI based learning
3. 0:08technologies. I'm excited to have you
4. 0:11here. I've had a chance to meet a few of
5. 0:13our students already. Um and some of
6. 0:17some of you are joining us from very
7. 0:19far. So, thank you for taking the time
8. 0:21to be flexible with your schedule. Um,
9. 0:25and I just want to get started with our
10. 0:30learning management system and taking a
11. 0:32little bit of a tour before we get into
12. 0:35our presentation. If you have any
13. 0:37questions, feel free to unmute your mic
14. 0:43and just ask. Sometimes I'm I miss like
15. 0:46the little hand up on the screen. So,
16. 0:48just feel free to ask if I am missing
17. 0:52your hand.
18. 0:58We'll start with a land acknowledgement.
19. 1:01I'd like to acknowledge the lands and
20. 1:03peoples of the Missagas of Skugog Island
21. 1:05First Nation. The land acknowledgement
22. 1:08is done out of respect and it is to
23. 1:10remember that the history of these lands
24. 1:13have been tainted by poor treatment and
25. 1:15a lack of friendship with the First
26. 1:17Nations who call these lands home. This
27. 1:21history is something we are all affected
28. 1:23by as we are all treaty people in
29. 1:25Canada. That's the Williams treaties. We
30. 1:28all have a shared history to reflect on
31. 1:30and each of us is affected by this
32. 1:32history in different ways.
33. 1:34Sometimes words can seem passive and or
34. 1:37empty. So, if you'd like to pair action
35. 1:40with reflections, you may wish to choose
36. 1:43from the following acts from the
37. 1:45following suggestions on how to move
38. 1:47forward with personal acts of
39. 1:49reconciliation.
40. 1:51And there's a link here to a CBC article
41. 1:54that gives um actual strategies
42. 2:00for reconciliation.
43. 2:03Okay, thank you for joining. If you are
44. 2:06just joining our presentation here, if
45. 2:10you want to follow along, log into your
46. 2:13Canvas learning management system and
47. 2:16I've posted it in the week one modules
48. 2:20and it is called Gamma Presentations
49. 2:23week one. It's the first one.
50. 2:27So, I do want to go through Canvas. So,
51. 2:29I'm just going to switch my screen over.
52. 2:50Okay. So, each of you that are
53. 2:52registered, you should have access to
54. 2:55Canvas, which is your learning
55. 2:56management system. This is where you
56. 2:59will participate in weekly discussions.
57. 3:03you'll participate in um you can submit
58. 3:06your capstone assignment as well as um
59. 3:12any kind of gallery that you want to
60. 3:15show off. So I'll show you that within
61. 3:17our
62. 3:19um discussions area. So I'll start at
63. 3:20the homepage.
64. 3:22The homepage will give you a description
65. 3:24of the course, the course design, and
66. 3:27the learning outcomes,
67. 3:29as well as some links to important
68. 3:32information
69. 3:35like the instructor info. That's me. So,
70. 3:38just to give you a little bit of
71. 3:39background about who I am, my name is
72. 3:42Joyce Lynn Kelly. It's pronounced Joyce
73. 3:44Lynn. and I have about over 15 years of
74. 3:49uh workshop facilitation experience
75. 3:51within the community in different
76. 3:53sectors. So that includes uh corporate,
77. 3:56nonprofit and more recently higher
78. 3:59education within the last uh decade. and
79. 4:02I do have a background in um educational
80. 4:07technology and digital studies with
81. 4:10adult education, a master's from Ontarot
82. 4:13Tech University and I do have a life
83. 4:17skills coaching certification through
84. 4:19the YWCA which helps with holistic
85. 4:22empowerment with students.
86. 4:25Originally when I came to work with um
87. 4:29AI technologies,
88. 4:32it was about maybe 16 years ago and when
89. 4:37I so I have two children. When I found
90. 4:40out that I was expecting my first son, I
91. 4:44was scared about postpartum depression
92. 4:47and I'm not really great with
93. 4:50pharmaceuticals. And so I was searching
94. 4:52for alternative methods to avoid
95. 4:54postpartum depression without taking any
96. 4:57pharmaceuticals.
97. 4:58A couple of different ways that I
98. 5:00explored um that were untraditional were
99. 5:04placenta encapsulation and that includes
100. 5:07taking the placenta of the woman of the
101. 5:10new mom and then consuming that to help
102. 5:12anecdotally with avoiding postpartum
103. 5:15depression.
104. 5:17The second uh method that I explored was
105. 5:21using early early chat bots. So this was
106. 5:25in the 2010 era. And if any mom is out
107. 5:30there that goes through the first stages
108. 5:33of motherhood, you may know that it is a
109. 5:36lonely time and you may need support
110. 5:39when you don't have the physical support
111. 5:42of a doctor or you're shy. You may not
112. 5:44want to reach out. And so I used early
113. 5:46technology chat bots to help me through
114. 5:49that period of time. I found this to be
115. 5:53a savior to me to help get through um
116. 5:57postpartum depression where I not only
117. 5:59survived it but I thrived throughout um
118. 6:02motherhood and I was able to um avoid
119. 6:06the postpartum depression that
120. 6:08historically my family had experienced.
121. 6:11And so I decided to do a little bit of
122. 6:14research through an undergrad degree as
123. 6:17well as um moving my research forward in
124. 6:21a master's degree researching chatbot
125. 6:24technologies in use of education
126. 6:28and in also uh depression for not only
127. 6:33postpartum moms but for students as
128. 6:35well. And so my journey has continued in
129. 6:382023
130. 6:40in the master's program. I was one of
131. 6:42the first students to graduate using
132. 6:45generative AI as chat GPT was released
133. 6:48in November of 2022.
134. 6:51And so I do enjoy using AI technologies
135. 6:55to strategically
136. 6:58um and in personal ways help students or
137. 7:02um the community with filling a gap. And
138. 7:06so in in these presentations, you'll see
139. 7:11a variety of examples that educators are
140. 7:15using AI technologies not only to um
141. 7:19improve their work and enhance their
142. 7:21work, but also make it a little bit more
143. 7:24engaging. And so when we go through the
144. 7:28concepts here, um I want you to think
145. 7:31about your workplace, the current work
146. 7:34that you have and how you can improve
147. 7:39that work and enhance it using AI
148. 7:43technologies.
149. 7:47Okay, the Zoom information is also
150. 7:49located here. So be sure that every week
151. 7:52maybe bookmark that Zoom link.
152. 8:02Okay. So announcements. I'll send some
153. 8:04announcements in this page. So make sure
154. 8:07that you're checking this page
155. 8:09regularly.
156. 8:14And the modules. I've populated all
157. 8:16three weeks of the modules. There's a
158. 8:18lot of content here, but I do want to
159. 8:21provide it to you as a resource and a
160. 8:24reference. And so there's no requirement
161. 8:27for a test. There's no requirement for
162. 8:30you to um extract all of the hundreds of
163. 8:34pages from this information, but they
164. 8:37are great resources that I've used in
165. 8:39the past um to brainstorm, to create
166. 8:43prompts and as a guide in using um AI
167. 8:50technologies as well as keeping your
168. 8:53pedagogy in focus. So remember that with
169. 8:57using AI technologies, you're still
170. 9:00responsible for the output at the end of
171. 9:03the day. Do not outsource your thinking
172. 9:06to the AI. And so these courses will
173. 9:09show you how to critically think through
174. 9:12the process of using AI technologies,
175. 9:16whether you even need to use AI
176. 9:18technologies and if you are using AI
177. 9:21technologies in your workplace or in
178. 9:24your classroom, how can you make it a
179. 9:26transparent process
180. 9:29um so that your students can also
181. 9:32benefit or your workplace can also
182. 9:35benefit from the digital literacy. that
183. 9:38you acquire and need to share with your
184. 9:40uh classroom or your workplace.
185. 9:44Any questions so far?
186. 9:50Okay, so discussions
187. 9:54there are a couple of diff a few
188. 9:56different discussions open right now.
189. 9:58So, introduce yourself. Feel free to
190. 10:02let us know who you are here. So, go
191. 10:04into discussions
192. 10:06and introduce yourself. Thank you,
193. 10:08Amrin.
194. 10:11Thorbjorg, is that how you say it?
195. 10:16I don't know. They're in class.
196. 10:19And Tanya as well as Tyler.
197. 10:23Hello. Thank you. Thank you for
198. 10:24participating in that discussion. So
199. 10:27each week after our sessions, we'll
200. 10:30participate in a handson
201. 10:33um in a handson activity and that will
202. 10:37be part of your discussion that you will
203. 10:40post that week. And so for this week,
204. 10:43the second half of this class,
205. 10:46we're going we're going to focus on
206. 10:48prompting. and I'll have you
207. 10:51um create a prompt a prompting post a
208. 10:55reflection post by next week between two
209. 10:58and 400 words.
210. 11:01So the requirement to pass this course
211. 11:03will be your
212. 11:06uh your three discussion posts one for
213. 11:09each week as well as the assignment. So
214. 11:14that's the capstone assignment which
215. 11:17we'll explore now.
216. 11:20So the capstone assignment
217. 11:25has two options and I'm giving two
218. 11:29option because I recognize that our
219. 11:31learners are diverse and you may come
220. 11:34from various backgrounds and when I
221. 11:38phrase it as teaching and learning
222. 11:40beyond just an academic setting teaching
223. 11:43and learning extends to any workplace
224. 11:46when you're upgrading um a job When
225. 11:50you're learning a new role, there is
226. 11:52training involved. There's onboarding
227. 11:54involved. And these are all aspects of
228. 11:56both teaching and learning when it comes
229. 11:58to training. And so I am providing two
230. 12:01different options for you to choose from
231. 12:03for your capstone project.
232. 12:07The first one,
233. 12:10students will develop a comprehensive
234. 12:13AIdriven solution aimed at enhancing
235. 12:16teaching and learning experiences.
236. 12:19The project will involve identifying a
237. 12:21specific educational need, using an AI
238. 12:25based tool or strategy to address that
239. 12:28need,
240. 12:29implementing your solution, and then
241. 12:32evaluating its effectiveness. Okay. So
242. 12:36this is a an opportunity for you that if
243. 12:41you're in your workplace for example I
244. 12:45know that I feel like I see a process
245. 12:49and I think oh I think this could be
246. 12:52done better with this idea and that
247. 12:54idea. But sometimes you just don't have
248. 12:56the time to create that solution or you
249. 12:59don't have the time to rework that
250. 13:01because your resources are limited with
251. 13:03time. This could be your opportunity to
252. 13:07implement that thought, that idea into
253. 13:11an execution phase with uh with a
254. 13:14reflection as well. And so this has been
255. 13:19um a good opportunity for other students
256. 13:22who have had ideas to work it out and
257. 13:26then propose it to their actual
258. 13:27workplace once they're done with the
259. 13:28capstone. And so I do encourage you when
260. 13:32you're
261. 13:33thinking about what your capstone
262. 13:35project will be intersected with your
263. 13:39own work,
264. 13:41how can you improve the process that is
265. 13:44happening right now? whether you're in
266. 13:46academics or whether you're in um health
267. 13:50care, nonprofit, uh in a corporate
268. 13:53setting, what is the workflow that
269. 13:56you're hoping to change, improve or
270. 14:00create and how can you do that using an
271. 14:04AI technology?
272. 14:07Okay? And so that's what I want you to
273. 14:09think of more broadly when you are
274. 14:11completing this capstone. There's going
275. 14:14to be project phases. Today is session
276. 14:17one. So today we'll explore a needs
277. 14:21analysis and conceptual
278. 14:22conceptualization.
279. 14:24You'll identify a pressing educational
280. 14:27learning or teaching challenge in a real
281. 14:29world classroom setting. We're going to
282. 14:31explore this a little bit further
283. 14:32through a prompting hands-on um exercise
284. 14:36in the second half.
285. 14:38And then we're going to take the step of
286. 14:42trying to develop a prototype or an AI
287. 14:45integ or or trying to find an AI
288. 14:47integrated tool or a prompt that can
289. 14:50help you deliver that problem or execute
290. 14:54a strategy to solve that problem. This
291. 14:57could be video creation, an intelligent
292. 15:00tutoring system, a predictive model for
293. 15:03student performance,
294. 15:05um an automated assessment tool, etc.
295. 15:10Ensure that the design is userfriendly,
296. 15:14ethical and accessible.
297. 15:18Next week, we'll look at session two,
298. 15:21which we will do a little bit of
299. 15:24implementation and testing.
300. 15:27And this is more focused on assessment
301. 15:30as well. So next week we're going to
302. 15:32take a look at
303. 15:34review and actual frameworks of tools
304. 15:38that can help you have uh a measured
305. 15:42approach
306. 15:43to
307. 15:45analyzing
308. 15:46AI tools. There are so many AI tools out
309. 15:51there. How do you know what you can
310. 15:53trust? How do you know what information
311. 15:56it's taking from you? How do you know
312. 15:58it's safe? And so next week we're going
313. 16:00to focus a lot on assessment so that you
314. 16:03can bring your project into a more
315. 16:07rounded um viewpoint with your
316. 16:10implementation and then your review and
317. 16:13an iterative cycle. So maybe you need to
318. 16:15from your reflection do another
319. 16:17workaround of uh perhaps a gap that you
320. 16:21saw within your plan.
321. 16:24the final week which I believe is
322. 16:27October 7th, Wednesday, October 7th,
323. 16:31you will be presenting. So, it's not a
324. 16:34long presentation. It's a 5 to 7 minute
325. 16:37presentation that summarizes your
326. 16:39findings,
327. 16:41um your your project and future
328. 16:44recommendations. So, this presentation
329. 16:47doesn't need to be polished at this
330. 16:49point. This is an opportunity for you to
331. 16:53gain feedback from your peers and so you
332. 16:56can present what you have at that point
333. 16:58and we can help to say um hey why don't
334. 17:02you try this or what was an issue you
335. 17:04were having or you could be completely
336. 17:06done your project and you're using this
337. 17:08as an opportunity to present your entire
338. 17:10project.
339. 17:13Okay, so that's option one. Option two
340. 17:16is similar but it's more formulated
341. 17:20towards a marketing um marketing
342. 17:23campaign and it's using a similar
343. 17:26format. So problem for formulation
344. 17:30AI tool selection
345. 17:32I is interaction and reflection. So that
346. 17:35acronym actually spells pair. An example
347. 17:39I'll give you of a student that had
348. 17:41chosen to complete this second option.
349. 17:44She had a um an Airbnb in the Caribbean
350. 17:50that was not being booked during a
351. 17:52November December winter winter time.
352. 17:56And she decided to use this project to
353. 17:59enhance photos. So she used her current
354. 18:02photos, made them AI enhanced so that
355. 18:05they were consistent. Um she also used
356. 18:10AI to help with her write up. So, she
357. 18:13used AI as editing for her Airbnb
358. 18:17listing and was able to use a multitude
359. 18:21of different tools to enhance her Airbnb
360. 18:23listing and ultimately got her bookings
361. 18:26booked for the November and December.
362. 18:28And so, this was a good project for her
363. 18:30to use um in her real world to uh create
364. 18:35a marketing campaign for her Airbnb. And
365. 18:37so that's just an example
366. 18:40of a marketing campaign that was
367. 18:43successful for a student.
368. 18:46I'm asking for a length of a thousand
369. 18:49words for this project. There's no limit
370. 18:53though. Um but if you are an educator,
371. 18:55just try to keep it contained. Not too
372. 18:58long. You'll know that it's a bit
373. 19:00tiresome if it gets too too long. I have
374. 19:04included an example as an exemplar and
375. 19:07this is an example from a nurse and what
376. 19:12I like about this example is that she um
377. 19:15it's a mix so she is sort of an educator
378. 19:19in her respect as um a preceptor but at
379. 19:24the same time she's using it in her
380. 19:25professional development in her
381. 19:27workplace. And so this is an example for
382. 19:31you to review.
383. 19:35Everybody's project is different and so
384. 19:37you don't need to create it the same
385. 19:39way. Everybody's
386. 19:41problem solve is going to look
387. 19:43different. But this is just an example
388. 19:45of how this student decided to um her
389. 19:50challenge was to created an integrated
390. 19:55workflow to help AI and learning at her
391. 20:00uh hospital.
392. 20:02So what she needed to do was create a
393. 20:06scaffolded approach
394. 20:08for nursing excellence. And
395. 20:11she decided
396. 20:13to have create these sort of four uh
397. 20:17approaches
398. 20:20for scaffolding for her staff.
399. 20:26And so this is just an example of how
400. 20:29this student is using AI technologies
401. 20:34not only for her project but also using
402. 20:37AI technologies to then teach her staff
403. 20:41digital literacies. Okay. So this is the
404. 20:45kind of paradigm shift that I'm hoping
405. 20:50um your current work can shift into. So
406. 20:56sometimes I get a lot of um educators
407. 21:00saying how can I detect AI? And
408. 21:03sometimes that's a harder task to police
409. 21:06AI than to just assume let's just assume
410. 21:09everyone's using AI. How can we create a
411. 21:13digital literacy and these global
412. 21:15competencies around the use of AI
413. 21:18technologies? And so this is a good
414. 21:20example of how an educator can then
415. 21:24educate their staff or their students.
416. 21:34Any questions about that capstone?
417. 21:40Sorry, I have a question.
418. 21:44Um, so I'm just thinking from the point
419. 21:46of I'm not an instructor now. I'm a
420. 21:49manager. I'm an executive director, but
421. 21:51we do I do develop material for our
422. 21:55programs, adult literacy programs. So if
423. 21:59I see a gap there,
424. 22:01is that a scenario? I mean, let's say AI
425. 22:05literacy awareness building. um and
426. 22:08maybe I want to develop some courses for
427. 22:11them. Could there be a gap there which I
428. 22:14could keep in mind and then do this
429. 22:17project?
430. 22:19>> I absolutely agree that there is a gap
431. 22:22in AI literacy.
432. 22:24>> Okay. And so I think this would be a
433. 22:25fantastic
434. 22:27project to for that. And we have a lot
435. 22:30of language learners in the course as
436. 22:32well that could intersect and help with
437. 22:34their experiences. And so I think this
438. 22:37could be a really actually I created a a
439. 22:40chatbot that I'll share with you later.
440. 22:41It's morphed into a plug-in that is
441. 22:44meant for communication uh as well. And
442. 22:48it's in it's it's an example of how you
443. 22:51can think a little bit more broadly on
444. 22:53how to engage students using AI and have
445. 22:56them work with AI technologies and
446. 22:59reflect on its output as well.
447. 23:01>> Okay. Thanks.
448. 23:02>> You're welcome. And we're going to
449. 23:04explore um your capstone a little bit
450. 23:08further as well in our breakout session.
451. 23:17Okay,
452. 23:18I'm going to save our intros until the
453. 23:21end because I want to make sure we get
454. 23:22through our presentation.
455. 23:26So, when we're presenting our capstones,
456. 23:29I do when we're presenting our um
457. 23:32findings from our
458. 23:35um from our prompting session, then we
459. 23:38can introduce ourselves from there.
460. 23:41Okay, let me just make sure my sound is
461. 23:43on. Let's get started with our
462. 23:45presentation here.
463. 23:52Okay, let's talk about AI and the future
464. 23:55of AI and education. I'm going to share
465. 23:58with you this clip and this clip I would
466. 24:01say is a cautionary tale. So, I won't
467. 24:04give you any info yet. I'll just
468. 24:07>> graduates,
469. 24:09>> everyone who is standing, I I this was
470. 24:13this is here's what's happening. We're
471. 24:14using a new AI system as our reader.
472. 24:22Yep.
473. 24:24Yep.
474. 24:27So that is that is a lesson learned for
475. 24:29us. Um,
476. 24:33what we were able to do though is each
477. 24:36of you were able to walk the stage and
478. 24:38get a picture, which is what I would
479. 24:41hope would be the most meaningful
480. 24:43meaningful um,
481. 24:50Y. Okay.
482. 24:52So, I'm going to have to disappoint many
483. 24:54of you. We will not be able to walk the
484. 24:57stage a second time.
485. 25:00in order to have the name on the screen.
486. 25:03You've handed over your cards.
487. 25:07I am so sorry.
488. 25:10There's plenty of opportunities, I hope,
489. 25:11to take some really good pictures and to
490. 25:13celebrate you with your loved ones as
491. 25:15well.
492. 25:18Yeah.
493. 25:21Are you going to do the rest?
494. 25:22>> Um, yeah.
495. 25:25So, I'll go do that. Okay. One more
496. 25:28round of applause for our graduates.
497. 25:46Hello. Thank you. Thank you, Anick. I
498. 25:50watched this for the first time a few
499. 25:52months ago and it was it was
500. 25:54heartbreaking to see that and it was
501. 25:57angering because it's a simple fix. It's
502. 26:01a human involvement is necessary and
503. 26:06this is the type of error that um that
504. 26:10happens when you outsource your work or
505. 26:13your thinking to AI technologies. There
506. 26:16are so many measures that could have
507. 26:17avoided this mistake but unfortunately
508. 26:21this is the result and for these
509. 26:23students they did not get to walk the
510. 26:26stage and after many years of hard work
511. 26:29I can't imagine how they were feeling
512. 26:30and how that uh college is recovering
513. 26:36after that as well. So this is just an
514. 26:38example of why you need to always
515. 26:42reflect and review on your work when
516. 26:44you're using AI and any kind of system
517. 26:48any kind of AI system.
518. 26:54Okay. So I want to look at the World
519. 26:57Economic Forum top 10 core skills for
520. 27:002030. Has anybody seen this graph
521. 27:03before?
522. 27:06Okay, so I'm going to just scroll up
523. 27:08because I've written out the top 10 core
524. 27:11skills in 2030. So it's AI and big data,
525. 27:16technological literacy, creative
526. 27:19thinking, resilience, flexibility and
527. 27:22agility,
528. 27:24analytical thinking,
529. 27:26leadership and social influence,
530. 27:29motivation and self-awareness,
531. 27:32systems thinking, talent management,
532. 27:35curiosity and lifelong learning. That's
533. 27:38what you can find in this quadrant here
534. 27:41of core skills in 2030. The x and y axis
535. 27:45represent the share of employers
536. 27:47considering a core skill in 2025. So
537. 27:50that was last year and predicted skills
538. 27:52for 2030. This is the share of employers
539. 27:56expecting increasing increasing these
540. 27:58skills by 2030.
541. 28:00Those are the top 10. But I also want to
542. 28:03show you the core skills that are less
543. 28:08valuable in this quadrant as well.
544. 28:12So marketing, media, programming, and
545. 28:15this one hurts a bit, teaching and
546. 28:17mentoring, these are skills that are
547. 28:19less valued as we approach an AI future
548. 28:25in 2030. And so many of these skills
549. 28:30are
550. 28:32going to be in the back of your head
551. 28:34when you're using these AI um these AI
552. 28:40applications.
553. 28:43There's a link here to open up this tab.
554. 28:47So if you do want to read the full
555. 28:49extent of this, you're welcome to here.
556. 28:51I'm not going to open it, but I just
557. 28:53want to talk about the ways education
558. 28:55will change by 2028.
559. 28:58And I just want to start here. This was
560. 29:00uh I'll start at 2020. This was an older
561. 29:03article that I had read um a few years
562. 29:06ago. And in 2020, it had said that
563. 29:09cloud-based education would become the
564. 29:11rule, not the exception. And in 2020,
565. 29:16the pandemic happened which then created
566. 29:19cloud-based education for all the
567. 29:22students.
568. 29:232024 advanced to culture and
569. 29:27authenticity will no longer be
570. 29:29integrated into units but embedded into
571. 29:31social learning experiences including
572. 29:34poverty, social justice, race. And when
573. 29:37I think about higher education, this is
574. 29:39a time that the um that the indigenous
575. 29:44courses became embedded as part of the
576. 29:46regular curriculum. And so that was a
577. 29:48new change that had happened with this
578. 29:51AI data revolution. We're looking at
579. 29:552028
580. 29:56causing a digital divide. So there's
581. 30:00remaining schools and state districts
582. 30:02that refuse to adapt to new technology
583. 30:05and current trends will cause
584. 30:08splintering in some communities
585. 30:11as the significant cost of technology in
586. 30:14integration increases socioeconomic gaps
587. 30:20that I can hear from a lot of educators
588. 30:26who I speak with who are from different
589. 30:28organizations. who may not have the um
590. 30:32policies in place yet for how AI is
591. 30:35used, for how the organization is um
592. 30:39allowing AI within their workplace. And
593. 30:41so it is important for you as an
594. 30:44educator within your classrooms to also
595. 30:47think about your own policies. how do
596. 30:50you
597. 30:51um create policies for your students or
598. 30:54in your workplace so that it's clear how
599. 30:56they can use AI technologies and we've
600. 31:01got a little section on um creating
601. 31:04policies as well that we can go through
602. 31:07in a different uh in a different
603. 31:09session.
604. 31:11I want to talk about multi-modality.
605. 31:15When you're using AI systems,
606. 31:19you have access to this. I won't play
607. 31:21this. This is about uh 5 minutes long,
608. 31:24but you do have access to it. It is an
609. 31:27avatar. Um, and what I did with this
610. 31:31video was I used an essay. And so this
611. 31:35is just an example of how you can turn
612. 31:39your current work into multimodal
613. 31:42creations that can engage learners in
614. 31:46different ways. And so my
615. 31:5030page essay, my 30-page thesis is kind
616. 31:54of boring for some students. And so I've
617. 31:57decided to make it into a five minute
618. 32:00video. And so those messages can be
619. 32:03delivered to a student in a different
620. 32:05way. Another
621. 32:08and this video is created by AI Studios
622. 32:11and I've create I've included a link
623. 32:14here.
624. 32:16That same information
625. 32:18you can turn into another multi-modal
626. 32:22application
627. 32:24like an infographic.
628. 32:26So, you can turn your contents into a
629. 32:29simple infographic that is a onepage
630. 32:35um poster for your students.
631. 32:40And I created this using the same
632. 32:44information from my thesis
633. 32:49into a one-page uh infographic.
634. 32:53Additionally, you can click on this tab
635. 32:56and you have access to that. Um,
636. 33:00using notebook LLM. Has anybody used
637. 33:03Notebook LLM by Gemini?
638. 33:06Okay, great.
639. 33:08>> So, there's a link here as well. And I
640. 33:11want to stress that I'm using the free
641. 33:13versions of these tools except for
642. 33:16ChatGpt. So chat GBT I do have a premium
643. 33:19account but the versions that I'm
644. 33:22showing you in these um
645. 33:26in um in our presentation is the free
646. 33:30versions that I used.
647. 33:34So I do want to encourage you to try
648. 33:38different multimodalities. So text to
649. 33:40speech, uh speech to text or text to
650. 33:44video or text to picture for example to
651. 33:48image.
652. 33:55I sent earlier this week, I think on
653. 33:59Sunday, I sent an article out to you
654. 34:02just to set set the tone for for this
655. 34:05course and this program on how you can
656. 34:08use AI in your workplace and how you can
657. 34:12be a leader to share those uh policies.
658. 34:16These are three questions to consider as
659. 34:20you're revamping your work and creating
660. 34:25your capstone project. So, how can AI
661. 34:27help me provide students with more
662. 34:29agency, meaningful choices, choices, and
663. 34:33flexible pathways?
664. 34:35Can AI generate examples, scaffolds, and
665. 34:38other supports to ensure that all
666. 34:40students can access the learning
667. 34:42experience? and how can you make AI more
668. 34:46relevant or interesting? And I'm sure
669. 34:49those are questions that you have that
670. 34:51you're coming to this classroom with.
671. 34:54And so we'll explore together
672. 34:58those concepts and those questions.
673. 35:03Okay. So this is AI literacy. I won't
674. 35:06play it all, but I'll play a little bit
675. 35:08of it for you. I'll just fast forward
676. 35:10here. Connect AI to real world examples.
677. 35:14Demystify AI by grounding it to everyday
678. 35:16applications that students are familiar
679. 35:18with like Siri and Alexa and
680. 35:20recommendations on streaming platforms.
681. 35:23This makes AI more relatable and
682. 35:24exciting. Next, encourage critical
683. 35:27thinking and debate. Cultivate problem
684. 35:29solving skills, creativity, and critical
685. 35:31thinking by discussing ethical concerns
686. 35:33and biases. Empower students to exercise
687. 35:36AI literacy skills. Improving AI
688. 35:38literacy skills will empower teachers
689. 35:40and students to confidently engage in
690. 35:42the digital world. So, what criteria
691. 35:45should educators use to assess the
692. 35:47suitability and effectiveness of using
693. 35:49AI tools in education? By integrating AI
694. 35:52literacy into the classroom, we prepare
695. 35:54students not just for the jobs of
696. 35:55tomorrow, but for a future where AI will
697. 35:58be an integral part of their lives. It's
698. 36:00a powerful step forward in education,
699. 36:02one that every educator can take.
700. 36:04Remember, the future is AI literate.
701. 36:07Thanks for watching. If you found this
702. 36:10video helpful, don't forget to like,
703. 36:12share, and subscribe for
704. 36:14>> Okay, that's just a quick snippet of
705. 36:16another tool called Invido Editor.
706. 36:20And it has limitations. So, it did make
707. 36:23a a video, but it has the iStock image
708. 36:26within the center. But my students found
709. 36:28this helpful. And so when you're
710. 36:31experimenting with AI tools, there can
711. 36:34be limitations with tokens. For example,
712. 36:36you may run out of credit limits or like
713. 36:40this in the image generation. It could
714. 36:42be a stock image.
715. 36:53Okay, let's talk about some theory and
716. 36:56ground it back to blooms. So if you've
717. 36:59ever seen Bloom's taxonomy,
718. 37:02it's a structure that shows the learning
719. 37:06sequence
720. 37:07and this example is intersected with AI.
721. 37:13So Ing at all had intersected AI
722. 37:16literacy with Bloom's taxonomy. And what
723. 37:20I like about this figure is it shows the
724. 37:23steps of
725. 37:26learning in terms of uh AI literacy,
726. 37:31knowing and understanding what AI is
727. 37:34and then using and applying AI
728. 37:38also AI ethics and then finally at the
729. 37:42top your ability to create and evaluate
730. 37:45the work that you're doing with AI
731. 37:47technologies. So I want you to consider
732. 37:51this facet when you're creating your uh
733. 37:55capstone project. Have you used the
734. 37:58technology and are you using are you
735. 38:02considering ethics around that
736. 38:03technology and your evaluation as well?
737. 38:12Any questions so far about that?
738. 38:19Okay, I do want to take a break a little
739. 38:22bit early because I do want to work on
740. 38:25our u prompting hands-on once we come
741. 38:28back. So, I'll give you this time now.
742. 38:30I'm hoping that we don't go over the
743. 38:328:00 and I'll start the countdown. If
744. 38:35you have questions, I will stick around
745. 38:38during the break. Um, but I'll start the
746. 38:40break now. Feel free to uh grab a tea or
747. 38:44use the restroom.
748. 38:53Welcome back everybody. I hope you had a
749. 38:55chance to have a break.
750. 38:57Okay, we're going to resume our second
751. 38:59half of the AI based learning
752. 39:02technologies course. I wanted to discuss
753. 39:06and
754. 39:08check out these chat bots in action.
755. 39:11This is an evolution of chat bots in
756. 39:13action. Has
757. 39:16anybody created their own chat bots?
758. 39:21>> Yes, I I have.
759. 39:23>> Excellent. Which what type of chatbot
760. 39:26have you created, Era?
761. 39:28>> Yeah, I created a Danish speaking
762. 39:31chatbot because I teach Danish in uh in
763. 39:35a high school here in Lake Iceland and I
764. 39:38created this Danish speaking chatbot for
765. 39:41for the students.
766. 39:44So they Yeah.
767. 39:45>> Yeah. Is that to teach them Danish?
768. 39:47>> Yes. So So they
769. 39:50could uh can interact with the chatbot
770. 39:54in Danish because the chatbot only uh
771. 39:58speaks Danish, you know.
772. 40:00>> Oh, excellent. That's a really good
773. 40:02example of a chatbot in action. Um, and
774. 40:07I'll show you a different chatbot um
775. 40:09that I have later later on on this slide
776. 40:13as well.
777. 40:14>> Um, similar to Era's experience with
778. 40:18creating chat bots, the chatbot is to
779. 40:21help your students and to engage with
780. 40:24them when you're not available. So,
781. 40:26Earl, I can imagine that you have how
782. 40:29many students do you have in your class?
783. 40:31the stu the Danish student.
784. 40:32>> I have about 28 students in in my in in
785. 40:35one class and I have four classes.
786. 40:39>> So you have over a hundred students that
787. 40:42need your one-on-one.
788. 40:43>> Yeah.
789. 40:44>> And so this
790. 40:47>> and so these examples of chat bots in
791. 40:50action can be helpful for students who
792. 40:53cannot see you one-on-one um at a
793. 40:55moment's notice. So, for example, when I
794. 40:58was using some chat bots um that I
795. 41:01created here, I found that I was using
796. 41:04them in odd times like when I'm cramming
797. 41:06in the middle of the night. There is no
798. 41:08educator that's going to be able to
799. 41:10respond to me at that time. But a
800. 41:12chatbot has unlimited patience and so I
801. 41:16could speak to it at 2 3 in the morning
802. 41:18and and not feel like I'm overwhelming
803. 41:22it.
804. 41:23So these are examples of custom chat
805. 41:26bots that I have created to fill a need
806. 41:30or a gap and I've created these chat
807. 41:33bots on two separate platforms. This one
808. 41:37is called PO and you have the link
809. 41:41there. PO is a free app. It does have
810. 41:45limitations with the um
811. 41:48tokens and I do create the chat bots
812. 41:53using the free version of PO.
813. 41:56The creation part is important that you
814. 42:01know prompting techniques and so we'll
815. 42:03go into that um separately.
816. 42:06Chat GPT I've created the same
817. 42:10um chatbot. The chat GPT chat bots are
818. 42:13only available to premium users. And so
819. 42:15that's a limitation to consider when
820. 42:19you're creating AI tools. Can your
821. 42:22students, your staff, your clients, can
822. 42:25they access it? Are you giving them a
823. 42:28tool that they can't even use? And so,
824. 42:30like I said, I've provided two different
825. 42:32versions here. One is through PO, that's
826. 42:35a free tool. The other here is through
827. 42:38chat GBT.
828. 42:40And these are examples of tools that I
829. 42:42created to help me when a teacher was
830. 42:47unavailable or I felt that I was taking
831. 42:50too much time from a instructor. So, I
832. 42:54created academic AI integrity because I
833. 42:59could not spend more time on little
834. 43:02citations italicized or um all of those
835. 43:06little things that um or an indent that
836. 43:10take up so much time to structure. And
837. 43:12so, I was inaccurate in some of my um
838. 43:16referencing. And I knew that there could
839. 43:20be a better way that could help save me
840. 43:22time. So I you created a chatbot that
841. 43:25could help clean up my references and
842. 43:28make sure that they were accurate. And
843. 43:30this chat GPT and PO AI integrity are
844. 43:35formatted the same. They helped me
845. 43:37finally get an A+ on my references when
846. 43:40I was completing my master's degree. And
847. 43:42that was only in my last course. So
848. 43:44throughout the whole two years, I could
849. 43:46not get a good grade in referencing
850. 43:49until I created a chatbot. And so this
851. 43:52has been helpful for me and I've shared
852. 43:55it with other students as well.
853. 43:58I've also created um these
854. 44:02down here are examples and I've included
855. 44:06a little overview of a little program
856. 44:09that I've created so that you can see
857. 44:12how I create um and I'll click it here.
858. 44:17So, I created a diversity, inclusion,
859. 44:20and belonging chatbot,
860. 44:23and I gave it some goals and
861. 44:28themes that students could work with,
862. 44:31engagement strategies,
863. 44:34and then a measure for success so that
864. 44:37students could follow along and be
865. 44:40guided by the chatbot on how to use this
866. 44:43chatbot and how it can help them work
867. 44:46about real world situations sort of in a
868. 44:49role-play strategy. And so this is just
869. 44:52an example of uh a learning gap and a
870. 44:57chatbot that I had created.
871. 45:00Similarly,
872. 45:02I was in I worked in nonprofit. I still
873. 45:06have sometimes contracts working with
874. 45:09students in creating resumeumés and
875. 45:14finding placements for uh STEM for
876. 45:18example. So this was science students
877. 45:20that I was working with who were looking
878. 45:22to um have their very first placement in
879. 45:26a science related field. And so many had
880. 45:30different kinds of résumés and we needed
881. 45:32to create a resume that could appeal to
882. 45:35the jobs that they were applying to. And
883. 45:38so I created this
884. 45:41uh chatbot and then created
885. 45:44this program that they could go through
886. 45:47to enhance or create a brand new resume
887. 45:51for themselves. And this helps them use
888. 45:53an existing job posting to personalize
889. 45:56their resume
890. 45:59and engage with the chatbot. So the
891. 46:02result of this program and I'm just
892. 46:07going to scroll down.
893. 46:10There's the full experience. The result
894. 46:12will be that they have access to a
895. 46:15resume builder, cover letter, and resume
896. 46:19samples that they can create
897. 46:22and ask different prompts. What's the
898. 46:25best way to start my cover letter for
899. 46:27research assistant in a co-op role? So
900. 46:29it gives the students a little bit of
901. 46:32guidance on how to use the chatbot but
902. 46:35also gives them reflections.
903. 46:38So how can they reflect on the output to
904. 46:42ensure that it's authentic to them?
905. 46:50Any questions so far about that?
906. 46:58So AI is everchanging. AI comes out with
907. 47:02version 2.0, 3.0 every now and then, and
908. 47:06they've already changed.
909. 47:08This is a notice about chat bots. So
910. 47:11I've been creating chat bots for about 2
911. 47:14years, and this year they say, this is
912. 47:17from OpenAI, we're planning to retire
913. 47:19custom GPTs and help you build on the
914. 47:22workflows you've already created.
915. 47:24Instead of custom GPTs, we're
916. 47:26recommending moving your workflows to
917. 47:29plugins. Plugins offer a way to bring
918. 47:31reusable instruction and connected apps
919. 47:33together so your guidance can work
920. 47:35alongside the tools and information task
921. 47:38a task needs. A migration workflow is
922. 47:42planned to help you make that move. And
923. 47:45so if you haven't yet experienced or
924. 47:48created a chatbot, it's outdated now. So
925. 47:51by the time you get to create and learn
926. 47:53these technologies,
927. 47:55they change. Now they're focusing on
928. 47:59agentic AI. And what's happening? It's
929. 48:02all happening so fast when us as
930. 48:05educators can barely get a handle on the
931. 48:10preliminary generative AI. And so it's
932. 48:14important those top 10 skills that I
933. 48:17mentioned, the last one was lifelong
934. 48:19learning, be a lifelong learner because
935. 48:22once you get it, it will change just
936. 48:24like this. So once you have a process,
937. 48:27be flexible and ensure that you're up to
938. 48:31date with what's happening, especially
939. 48:33with AI technologies.
940. 48:35As I mentioned before, I was logging
941. 48:38into um
942. 48:40I think it was uh
943. 48:44uh
944. 48:46there's a new Muse. So Muse is on
945. 48:49Facebook, I believe. It's like a new AI
946. 48:52agentic assistant. I thought there's an
947. 48:54agent for every app now that it wants me
948. 48:57to log in and sign into.
949. 49:00So this
950. 49:02difference and when we talk about AI
951. 49:06there's various levels of AI systems and
952. 49:10when you use chat GPT or um claude or
953. 49:14any of those large language models
954. 49:19the output is typically generative and
955. 49:24with these chat bots it is in response
956. 49:28to the user.
957. 49:31The new workflows that are happening
958. 49:33here are autonomous. And so a lot of
959. 49:37these a lot of the um agents are acting
960. 49:43on behalf of the user. And so this is
961. 49:46great that you're here because you'll
962. 49:49understand a process whether you want to
963. 49:51create an agent, whether you feel safe
964. 49:54to create an agent if you feel safe to
965. 49:57release a plug-in and to understand the
966. 49:59data, the privacy implications involved
967. 50:02when using these apps and automating um
968. 50:06your workflows.
969. 50:07Okay? And if you do want to read a
970. 50:09little bit further, I do include the
971. 50:11links there for you as well. There's a
972. 50:14question here from Abraim. Are we still
973. 50:17able to make a chatbot on PO? Yes. Yes,
974. 50:20you can. So,
975. 50:23chat bots on PO and I'm just going to
976. 50:26log into PO. Just let me exit this
977. 50:28screen.
978. 50:36po.com
979. 50:39is the link and you can access po.com
980. 50:43for free.
981. 50:46I have a limited number of points rem
982. 50:48remaining. So limitation is that you
983. 50:51have a set amount of points. Sometimes
984. 50:53you can get around it if you have
985. 50:54multiple accounts and you can try a
986. 50:56different account.
987. 50:58I'm going to reshare my screen here.
988. 51:10So this is an AI application called PO.
989. 51:15What I like about PO is that it gives
990. 51:17you access to other bots. So you have a
991. 51:22chance to explore other LLMs. So have
992. 51:26you heard of Plexity? You could try it
993. 51:28here. Have you heard of Claude? You
994. 51:31could also try it here.
995. 51:33So there's a number of different AI apps
996. 51:36and
997. 51:39again they're multimodal image bots,
998. 51:42video bots, audio bots, programming
999. 51:46bots.
1000. 51:48You can create a bot. So to create a bot
1001. 51:52in PO
1002. 51:54on the left hand side
1003. 51:57you click create
1004. 52:00and it gives you multimodal
1005. 52:03options. So do you want to create a v
1006. 52:06video generation bot, image generation
1007. 52:09bot, prompt bot?
1008. 52:12Role play the bots that I I just clicked
1009. 52:16prompt bot.
1010. 52:19These bots, these your ability to create
1011. 52:23these bots are available to you in other
1012. 52:28applications.
1013. 52:30Enterprise applications have access
1014. 52:33through copilot. I believe it is through
1015. 52:36copilot studio. Does anybody here use
1016. 52:39their enterprise copilot?
1017. 52:44Anic, you have enterprise copilot. There
1018. 52:47might be if your it has allowed it if
1019. 52:51you have access now I'm not sure which
1020. 52:54um you're using but
1021. 52:57studio under studio there may be an
1022. 53:00option to create your own chat bots
1023. 53:04and so when you're exploring different
1024. 53:07applications
1025. 53:09as I mentioned you want to make sure
1026. 53:10that you have access enterprise access
1027. 53:13are using it for work is your work
1028. 53:15restricting some of the access.
1029. 53:18These will be similar. So,
1030. 53:21when you are customizing your bot,
1031. 53:26you're going to use prompting
1032. 53:28techniques. And prompting techniques
1033. 53:30we'll look at next, but these are some
1034. 53:33parameters on
1035. 53:35information that you need to populate to
1036. 53:39customize your bot. So, a greeting
1037. 53:41message um and then advanced.
1038. 53:46The reason I'm saying that prompting is
1039. 53:48so important with the AI applications.
1040. 53:52I've been using AI applications for
1041. 53:55almost 20 years and the consistent
1042. 54:00the only consistent is the prompting.
1043. 54:03Everything changes. Like I said, the
1044. 54:06bots are now becoming agents on or
1045. 54:10plugins in chat GPT
1046. 54:13requiring you to access those bots
1047. 54:15through a workflow. And so it is
1048. 54:18concerning to lose some of your data,
1049. 54:22but at the same time the continuous
1050. 54:24learning, how can you change it or adapt
1051. 54:27it so that you can still
1052. 54:30have a functioning tool that you've
1053. 54:33created?
1054. 54:35Something that happened with
1055. 54:38PO earlier this year is that the
1056. 54:41knowledge base was deprecated. And that
1057. 54:45means
1058. 54:47when you have let's see I have it on a
1059. 54:50different app here but when you have
1060. 54:56uh
1061. 54:58a chatbot each chatbot has
1062. 55:03let me see what screen you're looking
1063. 55:04at.
1064. 55:06Each chatbot has um
1065. 55:12a knowledge base. So let's say here this
1066. 55:15is my AI integrity
1067. 55:21the knowledge base was deprecated
1068. 55:24and so it's important to update your
1069. 55:27greeting message or your best practices
1070. 55:30for your prompts. So deprecated me means
1071. 55:32they took it away and that happened mid
1072. 55:36year. And what's interesting with um
1073. 55:43with that is that you sort of lose a
1074. 55:47little bit of control. So the benefit in
1075. 55:50using these types of systems was that
1076. 55:53you can control the output by using a
1077. 55:56knowledge base. The other tools within
1078. 56:00your enterprise may still have a
1079. 56:02knowledge base available. So, what we're
1080. 56:05going to practice is our prompting to
1081. 56:08make sure that our tools are reflective
1082. 56:10of the work that you're ac wanting to
1083. 56:13accomplish with your students. Whether
1084. 56:16it's language learning or math, for
1085. 56:19example, you want to ensure that the um
1086. 56:22that the output is accurate.
1087. 56:27Okay. So, I'm going to exit out of this.
1088. 56:29Just give me one second and go back to
1089. 56:31our
1090. 56:33um presentation.
1091. 56:49I mentioned earlier that I created a CLB
1092. 56:55informed assistant for real world
1093. 56:57English communication in Canadian
1094. 56:59context. And so I created this for a
1095. 57:03teesl community and I've evolved it to a
1096. 57:08plugin.
1097. 57:16And so
1098. 57:19you can use the plugin if you have an
1099. 57:23agentic workflow.
1100. 57:26and it tags it tags
1101. 57:30it similarly to uh chat.
1102. 57:35So you could try it in chat. A lot of
1103. 57:37the work that you're going to do this uh
1104. 57:40this class likely will be in exploring
1105. 57:44and experimenting.
1106. 57:46Okay. So these are just brief
1107. 57:50glimpses of um how you can work with a
1108. 57:55chatbot or create a chatbot or create a
1109. 57:59plugin and have access to that. So
1110. 58:01again, chatgbt,
1111. 58:05this version that I'm sharing is a
1112. 58:07premium version, but you can use um
1113. 58:12po.com or other sources to create free
1114. 58:18chat bots. Um another chatbot creator
1115. 58:23would be uh Magic School. Has anybody
1116. 58:27ever tried Magic School? Similarly, it
1117. 58:30has a similar way to create chat bots by
1118. 58:36using prompts in their knowledge bases.
1119. 59:02Okay. So, let's talk about generative
1120. 59:05AI.
1121. 59:08Generative AI in education, it's a type
1122. 59:11of AI that can produce language-based
1123. 59:13human sounding output and it generates
1124. 59:16this output in pattern recognition.
1125. 59:20It includes text explanations, examples,
1126. 59:23summaries, drafts, and responds to
1127. 59:26prompts using patterns learned from
1128. 59:28large data sets.
1129. 59:33An important reminder is that outputs
1130. 59:35sound fluent but are not always accurate
1131. 59:39and language quality does not equal
1132. 59:42pedagogical quality. Okay. So remember
1133. 59:45to always review and reflect on the
1134. 59:50quality of the output that's being um
1135. 59:53generated by generative AI.
1136. 59:57And this is a simple framework for
1137. 59:59generative AI. And this is a ven
1138. 1:00:01diagram. So in the center here are the
1139. 1:00:05types of tasks that are ideal for
1140. 1:00:08generative AI to produce. So that's
1141. 1:00:11knowledge management, manage documents,
1142. 1:00:15manage enterprise data, track
1143. 1:00:17opportunities and commitments, train
1144. 1:00:20staff, maintain client contact history,
1145. 1:00:24and create proposals.
1146. 1:00:27And those are repeatable, valuable,
1147. 1:00:30and conversational.
1148. 1:00:33And in the ven diagrams, those are the
1149. 1:00:36types of um recommended task that a
1150. 1:00:41generative AI is good for.
1151. 1:00:44It's best for when it reduces
1152. 1:00:47preparation time, supports different
1153. 1:00:51differentiation and scaffolding. And the
1154. 1:00:55um the capstone exemplar is a good
1155. 1:00:58example of that. freeze instructor to
1156. 1:01:01focus on interaction and feedback. And
1157. 1:01:05so, um, Erla has over a hundred
1158. 1:01:07students. It creating her Danish chatbot
1159. 1:01:11frees her to focus on other students.
1160. 1:01:16Repeatable. Make sure that whatever AI
1161. 1:01:19tool that you're creating, it's
1162. 1:01:21repeatable and
1163. 1:01:24um, frequently asked learner questions.
1164. 1:01:27It's going to be um it's going to be a
1165. 1:01:30tool that may be self-directed and so
1166. 1:01:34it's it's good to have similar to what I
1167. 1:01:37created an instructional program so that
1168. 1:01:40it can uh help with digital literacies
1169. 1:01:43and help a student walk through how to
1170. 1:01:45use these pattern or these programs
1171. 1:01:49and along with standard instructional
1172. 1:01:52patterns that benefit from refinement.
1173. 1:01:57Okay, we're going to get into
1174. 1:02:00prompting. This is
1175. 1:02:03an a quote by Arthur Schoenhower
1176. 1:02:06and this reminds me of prompting and how
1177. 1:02:11vast large language models can be. and
1178. 1:02:16his quote is just as the largest library
1179. 1:02:19badly badly arranged is not so useful as
1180. 1:02:23a very moderate one that is
1181. 1:02:25wellarranged. So the greatest amount of
1182. 1:02:27knowledge if not elaborated by our own
1183. 1:02:30thoughts is worth much less than a far
1184. 1:02:33smaller volume that has been abundantly
1185. 1:02:36and repeatedly thought over.
1186. 1:02:40Unlocking the capabilities of AI can be
1187. 1:02:45easier than you think.
1188. 1:02:48When I use the predetermined prompts
1189. 1:02:50that are on AI systems, I don't really
1190. 1:02:53get uh good enough results. I end up
1191. 1:02:56doing a little bit of back and forth.
1192. 1:02:59But when I use a simple framework in a
1193. 1:03:03prompt, it helps create a better
1194. 1:03:06response each time. And here's a simple
1195. 1:03:10framework to start.
1196. 1:03:13When you're using any AI tool, not just
1197. 1:03:15chat GPT,
1198. 1:03:17when you're um creating a tool or
1199. 1:03:21engaging with the tool, you can use this
1200. 1:03:25framework which is role, goal, the
1201. 1:03:30restrictions and results.
1202. 1:03:34How many of you
1203. 1:03:36talk to chat GPT or ask a generative AI
1204. 1:03:40help me with these notes or summarize
1205. 1:03:42this? It's kind of a simple one command,
1206. 1:03:45one shot.
1207. 1:03:47You can get a better result if you say
1208. 1:03:49I'm an instructional designer and I'm
1209. 1:03:52trying to accomplish X task. Use this as
1210. 1:03:56an example and give me five different
1211. 1:03:59ideas. And you can also ask ask me
1212. 1:04:03questions to help work out this idea,
1213. 1:04:06for example. And so enhancing your
1214. 1:04:09prompt
1215. 1:04:11will be a better outcome for you when
1216. 1:04:14using any generative AI technology.
1217. 1:04:20If you're feeling
1218. 1:04:24like you want to enhance your prompting,
1219. 1:04:26this is another prompt
1220. 1:04:29acronym that can help with your prompt
1221. 1:04:33technique. And what I would recommend is
1222. 1:04:35to write out your prompt separately,
1223. 1:04:37possibly on like a Google uh Google
1224. 1:04:41document or a word document.
1225. 1:04:44The acronym stands for
1226. 1:04:47prompt. P is purpose. Identify the
1227. 1:04:50reason for your pro prompt. R is ro
1228. 1:04:53similar to the first one. Give the h
1229. 1:04:56give the AI hat to wear. Organize your
1230. 1:05:00structure of the prompt.
1231. 1:05:02Model the form.
1232. 1:05:05Give it parameters
1233. 1:05:07and tweak.
1234. 1:05:10And then there's an edit as well. So
1235. 1:05:12evaluate, determine, identify and
1236. 1:05:15transform.
1237. 1:05:17These are your core skills when using
1238. 1:05:20generative AI. With all of the changes
1239. 1:05:23that have happened with all of the
1240. 1:05:24versions, this is a fundamental that
1241. 1:05:28stays grounded with using AI
1242. 1:05:31technologies is your strength in
1243. 1:05:33prompting.
1244. 1:05:37Okay? So, feel free to
1245. 1:05:40go through that more at your leisure
1246. 1:05:42outside of class.
1247. 1:05:45And there are working links here as well
1248. 1:05:48with prompt examples. So if you're stuck
1249. 1:05:52creating your own prompt, I've provided
1250. 1:05:55examples of prompts that you can copy
1251. 1:05:57and paste.
1252. 1:06:01Pause before you prompt. I always say to
1253. 1:06:06AI or not to AI. Do you even need to use
1254. 1:06:08AI? Pause first. Consider your personal
1255. 1:06:13motives. What are your goals for using
1256. 1:06:15AI for that task? Accuracy. Do you trust
1257. 1:06:18the tool?
1258. 1:06:20Ethics. Is the value of using the tool
1259. 1:06:24greater than the impact? Consequence.
1260. 1:06:27What might happen if you use this tool?
1261. 1:06:30Let's think about that first video I
1262. 1:06:31showed you. They used that transcribe
1263. 1:06:34reader at their commencement and it left
1264. 1:06:37out a whole group of students.
1265. 1:06:40Privacy and confidentiality. Are you
1266. 1:06:43comfortable having your prompt tied to
1267. 1:06:44your name and email? Copyright. Do you
1268. 1:06:48want to retain the rights of the idea?
1269. 1:06:51And transparency. Are you prepared to
1270. 1:06:54show and replicate how you used AI for
1271. 1:06:56that task? So, pause before you prompt.
1272. 1:07:00Whenever you're using any AI, consider
1273. 1:07:03all of those variables to ensure that
1274. 1:07:06you're using AI in an intentional
1275. 1:07:11an intentional way.
1276. 1:07:14Okay. So, it's 7:17. Perfect. I have a
1277. 1:07:18breakout activity that I'm going to put
1278. 1:07:20you in breakout rooms for.
1279. 1:07:25And the goal of this breakout activity
1280. 1:07:28is to learn to craft effective AI
1281. 1:07:31prompts, understand the strategies for
1282. 1:07:34prompt construction. So you're going to
1283. 1:07:37enter your prompts into an LLM,
1284. 1:07:41troubleshoot any common issues with the
1285. 1:07:43response and apply some of those a uh
1286. 1:07:47engineering school those apply some of
1287. 1:07:49the prompt engineering skills across
1288. 1:07:52those domains. So depending on what AI
1289. 1:07:55application you choose and I'll show you
1290. 1:07:57a repository as well. Before we go into
1291. 1:08:02the breakout, I just want to show share
1292. 1:08:04this video. This is an example of how
1293. 1:08:08multi-modality
1294. 1:08:10using AI can engage a student in a new
1295. 1:08:16way that can help them understand a
1296. 1:08:18concept. Okay. So this is um
1297. 1:08:23the concept of differentiation.
1298. 1:08:26>> Boys teach me differentiation.
1299. 1:08:27>> Listen, differentiation it means how
1300. 1:08:29much does the output of a function
1301. 1:08:31change as we change the input.
1302. 1:08:32>> So look if we go from here where x is
1303. 1:08:34zero to just over here where x is 0.5.
1304. 1:08:37We can measure the slope by comparing
1305. 1:08:39change in y to the change in x.
1306. 1:08:41>> So 0.25 divided by 0.5 which is a half.
1307. 1:08:44>> You're on fire, Donald. Now to get the
1308. 1:08:46steepness of our function at a single
1309. 1:08:48point,
1310. 1:08:48>> we can just bring two comparison points
1311. 1:08:50so close together that the vertical and
1312. 1:08:52horizontal distances between them become
1313. 1:08:54dy and dx
1314. 1:08:55>> which are infinite decimally small like
1315. 1:08:57Joe's peanut of a bra.
1316. 1:08:58>> Bro just got roasted.
1317. 1:09:00>> Will you two please stop glazing each
1318. 1:09:01other? Instead, tell the boy about the
1319. 1:09:03function's derivative, a magical formula
1320. 1:09:05we can work out and use to get our
1321. 1:09:07function steepness at any point.
1322. 1:09:09>> So just like how if I plug an input into
1323. 1:09:11x^2, I get the output y. If I plugged an
1324. 1:09:14input x into that magic function, I get
1325. 1:09:16a number back telling me the rate at
1326. 1:09:17which the function is changing at that
1327. 1:09:19point.
1328. 1:09:20>> Exactly. W in the chat, boys. Next video
1329. 1:09:22will teach you how to work it out.
1330. 1:09:26>> Okay, that's just an example of an a way
1331. 1:09:29that an AI tool was utilized to create
1332. 1:09:32engagement and an understanding with
1333. 1:09:35students. I'm terrible at math, but when
1334. 1:09:37I first saw that, I thought, "Oh, I
1335. 1:09:40needed that 20 years ago in high
1336. 1:09:42school." So, keep this in mind when
1337. 1:09:45you're thinking about creative ways to
1338. 1:09:47implement AI into your current work.
1339. 1:09:54Okay? So, I've included a few different
1340. 1:09:57links here, and like I said, you can
1341. 1:10:00access these for free.
1342. 1:10:03Has anyone ever used DeepSeek?
1343. 1:10:08Okay, the DeepSseek is interesting
1344. 1:10:10because it's based out of China. So if
1345. 1:10:13you have not used it, you could try a
1346. 1:10:17comparison. Try the DeepSeek versus Chat
1347. 1:10:20GPT which is American and see how the
1348. 1:10:24outputs are a little bit different and
1349. 1:10:26you'll see that that matters. When the
1350. 1:10:30AI is built in a different country, it
1351. 1:10:32might have different motives. it might
1352. 1:10:34have a different background for the
1353. 1:10:36builder. And so these are different AI
1354. 1:10:40LLMs, large language models that you can
1355. 1:10:43try. So these are accessible
1356. 1:10:47and this link is a good one. So I'm
1357. 1:10:49going to open up this link and I
1358. 1:10:52recommend that you keep it as a
1359. 1:10:53bookmark. This is AI educator tools. Has
1360. 1:10:58anybody ever browsed this page before?
1361. 1:11:04Okay. So, what's good about this page is
1362. 1:11:07it will give you it's a repository that
1363. 1:11:10you could search for like a video tool
1364. 1:11:13or an audio tool or the most popular and
1365. 1:11:17it will tell you if it's free. So,
1366. 1:11:20premium means you have access to it but
1367. 1:11:24to a certain limit similar to PO and it
1368. 1:11:28will let you know if you have to pay for
1369. 1:11:30it.
1370. 1:11:33and it is a large repository and I've
1371. 1:11:36used many of these um and instructional
1372. 1:11:40designers will know sometimes you prefer
1373. 1:11:43a layout of a tool versus a different
1374. 1:11:45tool. So in the week spend a couple of
1375. 1:11:50hours outside of this class
1376. 1:11:53experimenting and finding these new
1377. 1:11:55tools. I can only have two hours a week
1378. 1:11:59with you in person and the learning that
1379. 1:12:02you have um with the 21st century skills
1380. 1:12:09is in lifelong learning. So take this
1381. 1:12:12time to explore some of these new tools
1382. 1:12:15and see how they could work in your
1383. 1:12:18workplace. Let me just exit out of this
1384. 1:12:21page.
1385. 1:12:27Okay. So, in our breakout rooms, you
1386. 1:12:30have access to ChatGpt,
1387. 1:12:34uh, Deep Seek, Copilot Poe, any of those
1388. 1:12:36chat bots, as well as this repository
1389. 1:12:39for AI tools. I want you to take the
1390. 1:12:42next half hour and work on your capstone
1391. 1:12:47idea in groups. If you don't have access
1392. 1:12:50to an LLM, if someone could volunteer to
1393. 1:12:54share their screen and show the prompt
1394. 1:12:56technique on their screen, I'll go
1395. 1:13:00through to each breakout room and visit.
1396. 1:13:04I've also included a sample prompt here
1397. 1:13:08for you to fill in if you would like to
1398. 1:13:13just copy and paste the prompt and then
1399. 1:13:16you insert your roles in the brackets.
1400. 1:13:20Okay? And the goal for this next half
1401. 1:13:24hour is for you to experiment with the
1402. 1:13:27prompting technique and
1403. 1:13:31narrow down what you'll work down what
1404. 1:13:34what you will work on for your capstone
1405. 1:13:36project. Okay? So think about your
1406. 1:13:39current work, your experience, any
1407. 1:13:42projects that you have going right now
1408. 1:13:43or any kind of projects that you're
1409. 1:13:45hoping to deliver. or if you had time,
1410. 1:13:47this is your opportunity to make that
1411. 1:13:50happen. Okay. So, I'll give you a half
1412. 1:13:54an hour and the instructions are here.
1413. 1:13:58We're going to come back to the main
1414. 1:14:00room. Actually, I'll give you about 25
1415. 1:14:02minutes and then we'll come back to the
1416. 1:14:04main room and share your experiences.
1417. 1:14:14before I open the breakout rooms. Are
1418. 1:14:16there any questions on your task and
1419. 1:14:18what you are?
1420. 1:14:20Um
1421. 1:14:21>> or you have a question.
1422. 1:14:22>> Go ahead and
1423. 1:14:24>> Okay. So um so it's okay that let's say
1424. 1:14:28there are three people in the breakout
1425. 1:14:29session but all three will have
1426. 1:14:31different um ideas.
1427. 1:14:34>> Yes. Correct.
1428. 1:14:35>> We all work on on our own but
1429. 1:14:37>> you can work on it on your own. Exactly.
1430. 1:14:40And if you have any discoveries or any
1431. 1:14:43insight to share, that's a good
1432. 1:14:45opportunity to intersect any knowledge.
1433. 1:14:48Or if you have experience with a
1434. 1:14:51different AI application or let's say
1435. 1:14:54someone's in your group who's uh in
1436. 1:14:57language and you have a suggestion. So
1437. 1:15:01use it as a collaborative time, but also
1438. 1:15:03to work out your own um your own
1439. 1:15:07capstone idea.
1440. 1:15:09Okay. So, we're going to have a small
1441. 1:15:11working session. That way, you can
1442. 1:15:13interact with your peers and I will drop
1443. 1:15:16in on everybody as well if you have
1444. 1:15:18questions. Otherwise, take the time to
1445. 1:15:22work out your um capstone idea. And then
1446. 1:15:27what you will do, you can also take the
1447. 1:15:29time to
1448. 1:15:32um answer the discussion post for this
1449. 1:15:34week. So this activity will be a
1450. 1:15:37reflective exercise where you'll uh
1451. 1:15:40enter your discussion for session one
1452. 1:15:43for the pro prompting reflection.
1453. 1:15:47Okay. So you can get started with simply
1454. 1:15:50starting with one of these um examples
1455. 1:15:55and just fill in the blanks.
1456. 1:16:10Okay. So, I've opened the rooms.
1457. 1:16:13Feel free to join. We'll come back to
1458. 1:16:16the main room in about 25 minutes.
1459. 1:16:45Welcome back. Welcome back everybody.
1460. 1:16:51>> Welcome back. Okay. So, do I have any
1461. 1:16:55volunteers to share about their
1462. 1:16:58experiences using the prompting and any
1463. 1:17:03large language model that you used
1464. 1:17:09and any challenges that you experienced?
1465. 1:17:14Don't be shy.
1466. 1:17:15>> I can go.
1467. 1:17:17>> Thank you. I'm free.
1468. 1:17:18>> Okay. So um to be honest I put in the
1469. 1:17:22example that you had provided with I and
1470. 1:17:25my my problem was again how do I
1471. 1:17:29um develop some a program where uh I
1472. 1:17:32need to make adult literacy
1473. 1:17:35practitioners understand the importance
1474. 1:17:37of AI literacy before trying out or
1475. 1:17:41testing tools. Uh it did provide me
1476. 1:17:44three three I mean yeah three options
1477. 1:17:49when I looked at it. I mean I don't
1478. 1:17:50think they they're going to use those
1479. 1:17:52ones because um yeah one is um scenario
1480. 1:17:57based AI literacy simulations all that
1481. 1:17:59stuff and then there's a decision guide.
1482. 1:18:02I don't see them using it. Then I put in
1483. 1:18:05another prompt um saying that this is
1484. 1:18:09what they think. these are the
1485. 1:18:11challenges which I've seen so what
1486. 1:18:14should I stay or what should I add in my
1487. 1:18:17uh when I'm talking to them or marketing
1488. 1:18:20for it so it gave me really good answers
1489. 1:18:22that yes they're right their fears are
1490. 1:18:25correct so this is what you need to say
1491. 1:18:28this is how you put it in I mean again
1492. 1:18:30I'm just at that stage um uh but yeah I
1493. 1:18:33think you refine the prompt and the more
1494. 1:18:36clarity you bring in your questioning
1495. 1:18:38it's just like asking questions
1496. 1:18:40Right. I mean when we we converse with
1497. 1:18:42each other, if you write ask the right
1498. 1:18:45question, you get the right answer.
1499. 1:18:46>> Exactly. Exactly. And that is a lot with
1500. 1:18:50the prompt engineering that Arthur
1501. 1:18:52Schoppenhower quote is that there's a
1502. 1:18:55vast library out there. You need to be
1503. 1:18:56able to organize it well.
1504. 1:18:58>> Yeah. So I liked how it gave I mean um
1505. 1:19:02that you should avoid doing this. I
1506. 1:19:04didn't ask for it, but it still gave me
1507. 1:19:06that avoid saying this stuff and say
1508. 1:19:09this this is so I'm using I use
1509. 1:19:11Perplexity.
1510. 1:19:12>> Okay.
1511. 1:19:13>> Yeah, the paid version. So,
1512. 1:19:17>> okay. Well, I'm going to ask you to take
1513. 1:19:18it a step further for all of you. You
1514. 1:19:20can also add to your prompt, going back
1515. 1:19:23and forth with this exercise, to suggest
1516. 1:19:27AI applications and the links that could
1517. 1:19:31help you design the um the capstone.
1518. 1:19:36>> Okay?
1519. 1:19:36>> And if it needs more information, you
1520. 1:19:38can take some of the information from
1521. 1:19:40the capstone into your prompt so that it
1522. 1:19:43knows what you need to do over the next
1523. 1:19:45couple of weeks.
1524. 1:19:49Treat it like a conversation. So, your
1525. 1:19:52first prompt likely will not be the
1526. 1:19:56final outcome. It's just the beginning
1527. 1:19:58of your prompt conversation.
1528. 1:20:01Thank you, Embra. Thank you for sharing.
1529. 1:20:05Is there someone else that would like to
1530. 1:20:06share their experience with the prompt
1531. 1:20:08engineering and if you were able to get
1532. 1:20:11a capstone idea?
1533. 1:20:18Go ahead. Go ahead, Andrea.
1534. 1:20:20>> Yeah. So
1535. 1:20:22at first it was very interesting to
1536. 1:20:24discuss with the group the ideas that we
1537. 1:20:27we have like we I really enjoy uh
1538. 1:20:30hearing what they their experiences are
1539. 1:20:33and uh we got some conclusions similar
1540. 1:20:36conclusions what's going on in the
1541. 1:20:38educational setting even we were in
1542. 1:20:40different places
1543. 1:20:42uh about the risk of AI in education. So
1544. 1:20:46my prompt was I use the prompt that you
1545. 1:20:48use. Um and I added my role at the
1546. 1:20:52college and the gap that we have from
1547. 1:20:56the student size that side that they use
1548. 1:20:58AI without knowing all the things that
1549. 1:21:00you were saying today without knowing
1550. 1:21:04the challenges the limitations but also
1551. 1:21:08the opportunities.
1552. 1:21:10uh um I'm working with the lab Rian and
1553. 1:21:14um she would like to have students uh to
1554. 1:21:17have more knowledge about why or when we
1555. 1:21:20use AI to do research and why we
1556. 1:21:23shouldn't use and when we should use AI
1557. 1:21:26or what do we need to do to verify. So I
1558. 1:21:28kind of summarized all in that prompt
1559. 1:21:33and um it came out with a lot of ideas
1560. 1:21:36about creating module for students
1561. 1:21:40uh on AI
1562. 1:21:42literacy that were thinking uh about it
1563. 1:21:45but also how to improve this in the
1564. 1:21:47class with guided questions or have the
1565. 1:21:51AI ask questions to the students instead
1566. 1:21:54of the students only ask questions and
1567. 1:21:56get the answers. So it was very
1568. 1:21:58interesting and also I use chachd and I
1569. 1:22:00use copilot and I could say that they
1570. 1:22:03have a similar similar pro proposals.
1571. 1:22:07Yeah I wanted to compare.
1572. 1:22:10>> Okay thank you. Thank you for the
1573. 1:22:12feedback and compares comparing the two
1574. 1:22:15like I said they have different uh
1575. 1:22:17builds so they sometimes will give you
1576. 1:22:19different outputs.
1577. 1:22:22>> That's good. Thanks for that feedback,
1578. 1:22:24Andrea.
1579. 1:22:27Um, I do have um I did create a chatbot
1580. 1:22:31called a meta AI literacy. I want to go
1581. 1:22:34back to Embream. I'll just put it in the
1582. 1:22:36chat. Um, this was similar. I had
1583. 1:22:40students that were struggling with the
1584. 1:22:41concept of AI literacy. And so I just
1585. 1:22:44created a chatbot that could help um
1586. 1:22:47with a little back and forth
1587. 1:22:48conversation.
1588. 1:22:53And that's just an idea.
1589. 1:22:58Does anybody have uh any comments or
1590. 1:23:01anything they'd like to share about that
1591. 1:23:02last prompting exercise?
1592. 1:23:09Okay. So, I'll leave it there for today.
1593. 1:23:12What you need to do for your next step
1594. 1:23:15is to sort out your um capstone idea so
1595. 1:23:21that you can get started because next
1596. 1:23:23week what we'll focus on is the
1597. 1:23:26assessment piece. So, we're going to
1598. 1:23:28look at assessment in a framework, in a
1599. 1:23:32measured framework, so that as you
1600. 1:23:35explore new tools, you'll have a
1601. 1:23:37conceptualized measure of how you can um
1602. 1:23:41implement guard rails and privacy and
1603. 1:23:45trust the tool so that you can
1604. 1:23:47confidently implement it in your spaces,
1605. 1:23:50in your classroom, in your training. so
1606. 1:23:52that um you can create uh transparency
1607. 1:23:55statements, view statements, and your
1608. 1:23:57own policies within your classroom. So,
1609. 1:24:01next week we'll focus a lot on
1610. 1:24:02assessments. Feel free to explore the
1611. 1:24:05module in advance if you'd like as well
1612. 1:24:07and take a peek at some of the ideas. So
1613. 1:24:11within week 2 module, there are a lot of
1614. 1:24:15exemplars of ways that other educators
1615. 1:24:19are using AI in their classroom, various
1616. 1:24:23multimodal strategies. So take a peek,
1617. 1:24:26see what others are doing. If you have
1618. 1:24:29any questions during the week, feel free
1619. 1:24:31to send me a message. And additionally,
1620. 1:24:34make sure that you're um participating
1621. 1:24:37in the discussion post. I know I didn't
1622. 1:24:39get a chance to meet everybody today,
1623. 1:24:41but please enter your introduce yourself
1624. 1:24:45statements and also your uh prompting
1625. 1:24:49week one. Have that done before next
1626. 1:24:52week.
1627. 1:24:54Okay. Well, thank you everybody for
1628. 1:24:56joining tonight. I'm looking forward to
1629. 1:24:59seeing you next week and hearing about
1630. 1:25:00your ideas. Like I said, if you have any
1631. 1:25:03other questions, feel free to send me a
1632. 1:25:05message during the week.
1633. 1:25:07>> Thank you. Thank you.
1634. 1:25:09>> Thank you everyone.
1635. 1:25:11>> We'll see you next Tuesday.
1636. 1:25:13>> Next Wednesday. Bye.
1637. 1:25:14>> Bye.
1638. 1:25:15>> Bye.
1639. 1:25:16>> Bye.
1640. 1:25:16>> Bye.