institution, fostering a moreintellectually stimulating academic environment. This can help enhance a university's reputationas a center for research and learning and attract high-achieving students and faculty, therebyraising the overall academic profile of the institution. Furthermore, these programs can lead toexternal funding opportunities and collaborations with industry and other universities,expanding the institution's reach and impact [8]. The research conducted in these programsoften leads to publications and presentations, further contributing to the scholarly community[9].Finally, URPs contribute to student retention and success in STEM fields. Russell et al. [10]found that students who participate in undergraduate research are more likely
evident that there must exista combination of intrinsic value (stimulating curiosity and internal drive) and extrinsic value(making the learning experience instrumentally useful) to best engage a student in the coursecurriculum [18]. Intrinsic value can be activated through a personalized education, increasingmotivation in a student’s learning journey [19], and extrinsic value can be activated through self-guided inquiry, which leads to higher content retention and usefulness of the course [20]. With aself-guided education approach, wellness courses can be modified to accommodateundergraduate students’ desires to have more time to discuss their personal wellness journey[21]. At Bryn Mawr College, a health and wellness program for undergraduates
teaching approach, weleverage the insights of the HPL framework to explore how undergraduate engineering studentsinteract with data skills in relation to the HPL elements when reflecting on their own data skillslearning experiences. Our interview protocol, guided by the HPL framework, delves into studentperspectives on self-reflection, knowledge acquisition, and assessment related to data skills.4. METHODS4.1 Participant Recruitment and Selection.In this study conducted at a southeastern United States institution, 177 students completed arecruitment survey. All interested mechanical engineering (ME) students were automaticallyselected, as only a small number of participants were ME students. Meanwhile, interestedaerospace engineering (AE) students
India. He has worked as an Assistant Professor (2014–2018) in the department of Electrical and Electronics Engineering, KLE Technological University, India. He is a certified IUCEE International Engineering Educator. He was awarded the ’Ing.Paed.IGIP’ title at ICTIEE, 2018. He is serving as an Associate Editor of the Journal of Engineering Education Transformations (JEET). He is interested in conducting engineering education research, and his interests include student retention in online and in-person engineering courses/programs, data mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in cognitive, affective, and psychomotor domains of
to connect researchto practice and impact engineering students. This approach involved creating scenarios andprobing questions from the composite narratives for sharing the research findings in academicand industrial educational settings. Lastly, we discuss the benefits and limitations of thismethodology, highlighting the research findings brought into focus using this methodology andcomparing and contrasting these results with those that emerged using an inductive-deductivethematic analysis approach to the data also taken in this research project.Key Words: Composite narratives, Methodology, Participant confidentiality, Research to practiceapproachesIntroductionComposite narratives are a way to combine aspects of multiple interviews into a
students or postdocs, the final number of responses usedin our study is 157. We asked the participants questions about their supervision and researchgroup experiences, as well as research skills, sense of belonging, and demographics (e.g., gender,program of study, first-generation student status, domestic vs. international). The Appendix liststhe questions that were used in this study.We constructed 4 variables:• Supervision Experience, measured using 16 questions pertaining to feedback, guidance, relational aspects, etc. (e.g., my supervisor provides me with constructive feedback, my supervisor is supportive through my academic difficulties). We calculated the average of the 16 questions, where each question ranged from 1 (strongly
live conversations exploring the nature of technology and itsimpact on our planet and society. For example, on the one hand, the humanities professortalked about definitions of the Anthropocene, the historical debate on its emergence as well asthe relationship between the Anthropocene and capitalism. On the other hand, the STEMprofessor took forward this conversation by discussing the role of technology in the makingof the Anthropocene, the transformation of technology from the Pre-Industrial to Post-Industrial age and highlighting its impact on the planet.The students were not merely passive recipients of information but were also co-participantsin their learning experience. They actively participated in the course by responding to