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from the University of Washington Center for Evaluation & Research for STEMEquity (CERSE, pronounced like the words “SIR”-”see”). We are here with CERSE Director Dr.Liz Litzler, Associate Director Dr. Erin Carll, and thank our collaborator Senior ResearchScientist Dr. Emily Knaphus-Soran who is not able to be here today.40 minutes totalSlide 1-5: 4 minutesSlide 6: (Audience Engagement) 5 minutesSlides 7-11: 4 minutesSlide 12: (Audience Engagement) 5 minutesSlide 13-14: (Audience Engagement) 10 minutes DIYSlide 15: Takeaways – 1-2 minutesSlide 16: 10 minutes final Q&A 1 Topics for Today Why use logic models? What are the components of a
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students is only 32%.The program tried to contact the students after graduation and 38 students responded. Out ofthese 38 scholarship recipient students graduated, all of them are Employed in their professionalfield or entered Graduate school upon graduation, 100% success.3.4. Analysis of Student SurveyThe students’ self-evaluation or assessment can be taken as another instrument to measure theeffect of the scholarships and academic supports provided through this NSF grant on the studentsuccess, retention, and graduation. For this reason, a student survey was conducted among 33NSF scholarship recipient students, and a partial list of survey questions are shown in Table 3.Table 3. Partial list of Questionnaire from Student Survey. Q# Student
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.!,#&!-1/.%&!8'%&4!/*13!%,',&46!$3,&.3'0!-/..$-/0'.!3&&4:!!!"#&%&!'.&\! U:! =,/4&3,%!B$00!'**0(!,&-#3$-'06!&35$3&&.$356!'34!%,',$%,$-'0!%C$00%!,1!-.&',&!%10/,$13%!,1!.&'09 B1.04!*.180&)%!2'-&4!8(!=,:!J1/$%!%,'.,/*%:! O:! =,/4&3,%!B$00!&35'5&!$3!*.12&%%$13'0!-1))/3$-',$13!B$,#!)&)8&.%!12!,#&!01-'0! &3,.&*.&3&/.$'0!&-1%(%,&):! Q:! =,/4&3,%!B$00!21%,&.!8/%$3&%%!.&0',$13%#$*%!'34!8/$04!0'%,$35!-133&-,$13%!B$,#!01-'0! %,'Ch&.%:! ]:! =,/4&3,%!B$00!8&!&E*1%&4!,1!,#&!=,:!J1/$%!&3,.&*.&3&/.$'0!-1))/3$,(!'34!8&!'80&!,1
Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487[2] Dai, Y., Chai, C. S., Lin, P., Jong, M. S., Guo, Y., & Jian-jun, Q. (2020). Promoting students’well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16),6597. https://doi.org/10.3390/su12166597[3] Chiu, T. K. F. and Chai, C. S. (2020). Sustainable curriculum planning for artificialintelligence education: a self-determination theory perspective. Sustainability, 12(14), 5568.https://doi.org/10.3390/su12145568[4] Cavanagh, T. B., Chen, B., Lahcen, R. A. M., & Paradiso, J. (2020). Constructing a designframework and pedagogical approach for adaptive learning in higher education: a practitioner'sperspective. The International Review of
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, culturally relevant/ sustaining workshop designs. Author 1, had to rely onthe high school mentors’ knowledge and input because they are experts and participants in youthculture. Author 2 “To provide a more comfortable and safe environment for participants to share their ideas and thoughts, we told them all their ideas would be [anonymized post-workshop], and we don’t judge any ideas, we just share and learn. To encourage them to express more, we use a storytelling session instead of the traditional Q&A session to learn about participants’ background experiences with AI/ML and their attitude/perspective of teaching AI/ML. That was a successful attempt. Participants shared more
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papers offered practical and transferableideas”, and another made“Great contacts who provided excellent suggestions for the direction ofmy research projects.”Regarding opportunities for professional networking, most participants reported having manyopportunities throughout the conference to connect with others. According to one participant,“Ihad many opportunities for networking. Networking was one of the highlights of the conferencefor me.” Another reported that “I spent a lot of time with people I knew but had only met online inthe past. I also met people during sessions and met up between sessions.” Coffee breaks and timebetween sessions gave participants time for conversations, including the time before and Q&Aafterwards. Participants
," Quinnipiac Chronicle, 13 February 2018. [Online]. Available: https://quchronicle.com/61954/news/girls-who-code- extends-program-to-university/.[16] Q. Today, "Inspiring the future generation of female coders," Quinnipiac Today, March 2022. [Online]. Available: https://www.qu.edu/quinnipiac-today/inspiring-the-future- generation-of-female-coders-2022-03-08/.[17] J. M. Blaney and J. G. Stout, "Examining the Relationship between Introductory Computing Course Experiences, Self-Efficacy, and Belonging among First-Generation College Women," in 48th SIGCSE Technical Symposium on Computer Science Education, Seattle. WA, USA, 2017.
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offering additional optionalworkshops because of the variance in TA duties across the college, but this would requireadditional staff and logistics that are a direction for future growth in this area.The required NEO workshops are Introductions, Implicit Bias, Grading and Feedback, EngagingStudents, Navigating Challenges, Presentation Skills, and a Q&A session with experienced TAs.Attendance and engagement in training workshops give TAs an opportunity to understandapplied learning and share meaningful experiences [11]. Approximately 180 TAs participate inNEO each year; it is offered every semester to all first-time teaching assistants in the College ofEngineering (80% of overall participants) while the other 20% come from the College
. Discuss potential improvements for model accuracy.5. Exploring Practical Applications (30 mins): Guide students to brainstorm real-world applications of CV and AI. Encourage identifying synergies between different CV-driven technologies.6. Summary and Q&A Session (20 mins):Recap the day's key takeaways. Address any questions or curiosities.Instructor NotesDefinitions • Computer Vision (CV): A field of AI enabling computers to interpret and understand the visual world using digital images, videos, and deep learning. • Artificial Intelligence (AI): The simulation of human intelligence processes by machines, particularly computer systems.Object Detection and Challenges: • Light: Variability
EngineeringEducation Research as a field, (2) offering sessions on what makes a good graduate application,(3) offering sessions on identifying advisors, and (4) creating interactive time through breakoutrooms and Q&A sessions. Suggested improvements included offering more time and interactionin the breakout sessions. While organizers could consider extending the event next year to meetthis need, individual programs could also think about how to provide more in-depth interactions.The one measured objective that was not achieved as successfully as others was creatingcommunity. This is not surprising as the current showcase construction did not emphasize thisaspect nor intentionally create space to do so.Data from the student perspective are not sufficient
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