- Conference Session
- DSAI Technical Session 3: Integrating Data Science in Curriculum Design
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
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Xiang Zhao, Alabama A&M University; Mebougna Drabo, Alabama A&M University
- Tagged Divisions
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Data Science and Artificial Intelligence (DSAI) Constituent Committee
course in Fall 2024. This pilot study has focusedon: (1) designing and implementing the data science team projects; (2) incorporating engagementstrategies in lectures and laboratory activities that promote active student interaction, criticalthinking, and problem-solving; and (3) conducting assessment and surveys to gather feedbackfrom students. This section mainly describes the details of this pilot study.The team followed the logic model in Figure 1 that has been established and tested in ourprevious study for enhancing STEM gateway courses with evidence-based pedagogies [18]. © American Society for Engineering Education, 2025After faculty members received training on how to apply ProjBL pedagogies andteaching/learning
- Conference Session
- DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
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Faiza Zafar, Rice University; Carolyn Nichol, Rice University; Matthew Cushing, Rice University
- Tagged Divisions
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Data Science and Artificial Intelligence (DSAI) Constituent Committee
Students,” Preminente.[17] Barell, J. (1995). Critical issue: Working toward student self-direction and personal efficacy as educational goals. Naperville, IL: North Central Regional Educational Laboratory. Retrieved September 12, 2005.[18] Huitt, W. (1999). Conation as an important factor of mind. Educational psychology interactive, 9.[19] Boyatzis, R. E. (2006). An overview of intentional change from a complexity perspective. Journal of management development.[20] Yeager, D. S., & Walton, G. M. (2011). Social-psychological interventions in education: They’re not magic. Review of Educational Research, 81(2), 267-301.