Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, University of Georgia; Daniel Bayah, University of Georgia; Nathan Mentzer, Purdue University ; Scott R Bartholomew, Brigham Young University; Scott Thorne, Purdue University ; Wonki Lee, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

. Vignoli, "Measuring design thinking mindset," presented at the Proceedings of the DESIGN 2018 15th International Design Conference, 2018.[8] S. Patel and K. Mehta, "Systems, design, and entrepreneurial thinking: Comparative frameworks," Systemic Practice and Action Research, vol. 30, no. 5, pp. 515–533, 2016, https://doi.org/10.1007/s11213-016-9404-5.[9] A. Jackson et al., "Learning by evaluating (LbE): Engaging students in evaluation as a pedagogical strategy to improve design thinking," presented at the 2023 ASEE Annual Conference & Exposition, Baltimore, MD, June 25–28, 2023, Poster presentation. [Online]. Available: https://peer.asee.org/42934.[10] M. Oliveira, E. Zancul, and A. L. Fleury

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hye Yeon Lee, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

intrapersonal competencies such as entrepreneurial mindset. In this paper, we describe our research methodology in detail, from the study’s design to data collection, analysis, and triangulation of multiple data sources. This work contributes to the literature on the use of the ethnographic approach in engineering education research and offers a practical example that demonstrates how these approaches can improve our understanding of novel and emerging pedagogies.Keywords: Ethnography, Triangulation, Pedagogical Practices, Story-Driven LearningMotivation The ethnographic approach, rooted in anthropology and sociology, is a qualitativeresearch method designed to comprehensively understand phenomena as they

Conference Session

Educational Research and Methods Division (ERM) Technical Session 9

Collection

2024 ASEE Annual Conference & Exposition

Authors

Disha Patel, Florida International University; Monique S. Ross, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

and STEAM to Teach the Entrepreneurial Mindset to Engineers,” 8 2022. [Online]. Available: www.slayte.com [6] D. Meharg, A. Varey, and S. Cairncross, “A journey that motivates: Exploring the Associate Students Transition Framework,” Proceedings - Frontiers in Education Conference, FIE, vol. 2021-October, 2021. [7] D. Meharg, S. Cairncross, and A. Varey, “”so far back, I’m anonymous”: Exploring student identity using photovoice,” Proceedings - Frontiers in Education Conference, FIE, vol. 2018-October, 3 2019. [8] M. Perez, “Participatory design for stem learning environments with youth & families,” in Proceedings of the 20th Annual ACM Interaction Design and Children Conference, ser. IDC ’21. New York, NY, USA

Conference Session

Educational Research and Methods Division (ERM) Technical Session 15

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lauren Singelmann, Minnesota State University, Mankato; Darcie Christensen, Minnesota State University, Mankato; Elizabeth Pluskwik, Minnesota State University, Mankato; Yuezhou Wang, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

understand and assess engineering students’ motivation entrepreneurially minded learning. ©American Society for Engineering Education, 2024 Validating the Use of Epistemic Network Analysis to Describe the Nature of Learning in Practice-Based Learning SettingsIntroductionPreparing engineering students to thrive in the workplace post-graduation has been a longwithstanding challenge and discussion topic in engineering education spaces. To provide studentswith authentic engineering experiences, there have been shifts in engineering educationcurricular approaches, such as problem-based, case-based, and project-based approaches – whichhave had various success rates at increasing transfer, learning, and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiao Ge, Stanford University; Mark Schar, Stanford University; Helen L. Chen, Stanford University; George Toye; Sheri D. Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods Division (ERM)

found to examine perceptions and experiences of students instead of reflectionsfrom alumni/professionals [52]. Due to page limitations, we focus on reviewing relevant researchof engineering alumni and professionals.2.1 Research about engineering alumni and professionalsEngineering alumni research has been largely driven by the question of education effectivenessand empirically through collecting qualitative or quantitative data of alumni’s subjectiveperceptions to assess the impact of the programs they graduated from [55]-[59]. While someresearch has started to focus on alumni’s work activities, often focusing on specific mindsets orbehaviors, such as entrepreneurial tendencies [60]-[63] and research engagements [65], less hasset out to

Conference Session

Educational Research and Methods Division (ERM) Technical Session 23

Collection

2024 ASEE Annual Conference & Exposition

Authors

Leslie Bostwick, Franklin W. Olin College of Engineering; Alex George, Franklin W. Olin College of Engineering; Trinity Lee, Franklin W. Olin College of Engineering; Zachary Del Rosario, Franklin W. Olin College of Engineering

Tagged Divisions

Educational Research and Methods Division (ERM)

Entrepreneurial Engineering Network (KEEN) to improve research accessibility to undergraduate students and conducted research on engineering education and its relationship with variability as part of the Uncertainty Research Lab.Dr. Zachary Del Rosario, Franklin W. Olin College of Engineering Zachary del Rosario is an Assistant Professor of Engineering and Applied Statistics at Olin College. His goal is to help scientists and engineers reason under uncertainty. Zach uses a toolkit from data science and uncertainty quantification to address a diverse set of problems, including reliable aircraft design and AI-assisted discovery of novel materials. ©American Society for Engineering Education, 2024