for the next week.Table 6: Mapping social and emotional learning concepts to focus group questions (Q) anddaily debriefing self-assessments (SA). Concept Focus Group Question Self-awareness Q3, Q4, Q5, Q6, Q7, SA1, SA2, SA3 Social awareness Q1, Q5, SA1 Self-management SA4 Relationship management Q4, Q6, Q1, SA2, SA3 3.4 Qualitative Data AnalysisThematic analysis, using techniques described in [15], of undergraduate student feedback wasconducted to pull out the common themes mentioned by the 12 undergraduate participants.Because of the small participant number, reflexive thematic analysis was used in
? Sense of belonging and women’s representation in mathematics.,” J. Pers. Soc. Psychol., vol. 102, no. 4, pp. 700– 17, 2012, doi: 10.1037/a0026659.[21] A. Godwin and G. Potvin, “Fostering Female Belongingness in Engineering through the Lens of Critical Engineering Agency,” Int. J. Eng. Educ., vol. 31, no. 4, pp. 938–952, 2015.[22] E. Seymour and N. Hewitt, Talking about leaving: Why undergraduates leave the sciences. Boulder: Westview Press, 1997.[23] J. Jorgenson, “ENGINEERING SELVES Negotiating Gender and Identity in Technical Work,” Manag. Commun. Q., vol. 15, no. 3, pp. 350–380, 2002, Accessed: Mar. 10, 2017. [Online]. Available: http://journals.sagepub.com.ezproxy.lib.purdue.edu/doi/pdf/10.1177
-.014 Q2. Explain the best way to accomplish these goals to my team members .027 .802 .201 -.203 Q3. Independently initiate new individual or team projects -.095 .580 .060 .127 Q4. Organize and structure a group to accomplish a common goal .117 .480 .180 .045 Q.5 Motivate my team members to accomplish predefined goals .027 -.085 .815 .065 Q7. Effectively delegate projects and authority to other people -.131 .231 .565 -.005 Q8. Actively encourage my peers to solve problems .088 .027 .647 -.045 Q9. Easily explain and discuss the fundamental elements of a
attendeeswith a synopsis of research presentations that would be presented prior to the actual presentation.Because the elevator pitches were shared in advance, the audience could post questions/commentsprior to the event. The Q&A session that followed the presentation of the research videos wastransformed into a discussion session where the teams would more informally discuss aspects ofthe research that were not captured in the formal presentation and to address any question that wereasked in advance.Projects SummariesTraffic Video Analytics (Morgan State University)Participants gain experience in computer vision and machinelearning techniques for vision-based traffic analytics such astraffic object localization, traffic object identification
the 2-hour epic finale Introduce problem 30 min Large group work 10 minutes of internet access 30 min Small group work 10 minutes of Q&A w/instructor 30 min Large group work, present results Time to write up reflection 30 min Celebrate!Individual Reflection Prompts: • Of the