ICPTsession in class, the peer tutor solved the in-class assignment. The peer tutor then met with theinstructor at least 2-3 days prior to the class session to go over the in-class assignment solutionand make sure the peer tutor understood how to complete the assignment, as well as discusspossible “sticking points” where students make common mistakes or get stuck.Evaluation of Addition of In-Class Peer TutoringTo evaluate whether ICPT was beneficial to students and increased use of peer tutors, we hadstudents fill out a survey. Students were asked to rate on a 1-5 Likert scale (1 = strongly disagree,2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree) the following survey questions: 1. The peer tutor has been helpful to me in this course
Engineering Educators,” Journal of Engineering Education, vol. 95, no. 2, pp. 139–151, 2006.[2] D. Tirosh and J. Clement, “Use of physical intuition and imagistic simulation in expert problem solving,” in Implicit and Explicit Knowledge: An Educational Approach (Human Development) , vol. 6, Hillsdale, NJ: Ablex Pub. Corp., 1994, pp. 204–244.[3] T. J. Nokes, C. D. Schunn, and M. T. H. Chi, “Problem solving and human expertise,” in The International Encyclopedia of Education, 3rd ed., Amsterdam: Elsevier Academic Press, 2010, pp. 265–272.[4] B. Adelson, “Problem solving and the development of abstract categories in programming languages,” Memory & Cognition, vol. 9, no. 4, pp. 422–433, 1981.[5] J. Metcalfe and D
intern Pre-HS HS UG Y1 UG Y2 UG Y3 Co-op UG Y4 Post 1 Post 2 Post 3 2015 2020 2023 Figure 4: Journey Map – Marlana (Mechanical Engineering) 4.1.4 Ty Ty is a queer man who completed an undergraduate program in Engineering Science and went on to work in the public sector. Ty’s responsibilities align with the career typology’s engineering-adjacent role (design moderating) and he is licensed as a professional engineer (P.Eng). Ty highlighted the centrality of critical
religiosity and serviceutilization among college students, with a particular focus on international undergraduateengineering students in the US. It seeks to answer several research questions: 1) What is theprevalence of mental health conditions and help-seeking among international engineeringundergraduates? 2) Are there gender differences in help-seeking among international engineeringundergraduates? 3) How do help-seeking (formal and informal) tendencies vary amongengineering undergraduates with different levels of religiosity?Design/Method: The study uses a logistic regression model to analyze data from engineeringundergraduate students participating in the Healthy Minds Study (HMS) for 2021-2022 toaddress research questions. The study considers
serving as potential research professionals in industry and academia. Their engagement ispivotal in sustaining the field's dynamism and fostering a workforce capable of meeting thedemands of an increasingly complex and globalized technological landscape [3]. Hence,understanding this demographic is integral to a holistic understanding of the broader landscape ofengineering programs in the U.S.Researchers have outlined international students' cross-cultural challenges, regardless of theircountry of origin or field of study [4]-[9]. For a substantial proportion of international students,both at the undergraduate and graduate levels, the process of interaction and adaptation to a newsociety has proven to be arduous [10], [11]. Furthermore, the
, and A. E. Abu Elnasr, “Responses to COVID-19 in HigherEducation: Social Media Usage for Sustaining Formal Academic Communication in DevelopingCountries,” Sustainability, vol. 12, no. 16, p. 6520, Aug. 2020, doi: 10.3390/su12166520.[3] R. J. Shaw, “Access to Technology and Digital Literacy as Determinants of Health andHealth Care,” Creat. Nurs., vol. 29, no. 3, pp. 258–263, Aug. 2023, doi:10.1177/10784535231211682.[4] M. A. Khan, “COVID-19’s Impact on Higher Education: A Rapid Review of Early ReactiveLiterature,” Educ. Sci., vol. 11, no. 8, p. 421, Aug. 2021, doi: 10.3390/educsci11080421.[5] S. Lewthwaite and D. Sloan, “Exploring pedagogical culture for accessibility education incomputing science,” in Proceedings of the 13th International Web
…”: learning through personal storytelling in the adult classroom. New Horizons in Adult Education and Human Resource Development, 20(3), 19-33.[16] Green, C., & Harrington, C. (2020). “Student-centered learning: In principle and in practice.” Michigan Virtual University, Lansing, MI, accessed July, 30, 2020.[17] Mercer-Mapstone, L., Dvorakova, L.S., Matthews, K.E., Abbot, S., Cheng, B., Felten, P., Knorr, K., Marquis, E., Shammas, R., & Swaim, K. (2017) “A Systematic Literature Review of Students as Partners in Higher Education.” International Journal for Students as Partners 1 (1)APPENDIX A: Agenda for the First Workshop ● Overview of storytelling workshops: We reviewed the VOCES project and goals
, Texas A and M University, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. The Department of Energy, National Science Foundation, and industry sponsors fund her research. Her research potential and the implication of her work are recognized through national and international awards, including the 2023 NSTA/NARST Research Worth Reading award for her publication in the Journal of Research in Science Teaching, 2023 New Faculty Fellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant award by the ERM Division, ASEE, and 2020 outstanding researcher award by the School of Engineering Education, Purdue
you may face participating in an REU? 2. How has your participation in this program changed your view on computer science/computing? 3. How has your participation in this program affected your life?5.2 Phase 2The subsequent session was dedicated to individual presentations, where each student showcasedtheir captured images. These photographs delved into the students’ experiences adapting to thenew campus environment, including aspects such as local cuisine and extracurricular activitiesoutside of REU commitments. While the initial photos were insightful for REU stakeholdersorganizing the event, they were not in alignment with the initial purpose and prompts provided toparticipants. To address this, we (the researchers
experience in instrument development and validation analysis. Her research in- terests lie in developing reliable and valid measures for assessing complex engineering competencies, such as systems thinking skills. More particularly, she’s interested in assessing engineering students’ socio-technical systems thinking skills during their design process. In addition to her work on instrument development, Tiantian is also passionate about exploring the experiences of international scholars in the United StatesDr. Kerrie A Douglas, Purdue University, West Lafayette Dr. Douglas is an Associate Professor in the Purdue School of Engineering Education. Her research is focused on improving methods of assessment in engineering
Practice in Technology Enhanced Learning. He is also the upcoming Program Chair-Elect of the PCEE Division at ASEE. His current research interests include STEM+C education, specifically artificial intelligence literacy, computational thinking, and engineering. ©American Society for Engineering Education, 2024 Investigating Undergraduate Engineering Students' Motivations: An Early-Stage AnalysisAbstractThis study examines students' motivations and learning strategies at an undergraduate-levelengineering education. The Motivated Strategies for Learning Questionnaire (MSLQ) comparesthe value engineering students obtain from their education and learning strategies with
Teaching, 2023 New Faculty Fellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant award by the ERM Division, ASEE, and 2020 outstanding researcher award by the School of Engineering Education, Purdue University. Dr. Anwar has over 20 years of teaching experience at various national and international universities, including the Texas A and M University - USA, University of Florida - USA, and Forman Christian College University - Pakistan. She also received outstanding teacher awards in 2013 and 2006. Also she received the ”President of Pakistan Merit and Talent Scholarship” for her undergraduate studies. ©American Society for Engineering Education, 2024Work
belonging and marginalization mechanisms, adverse childhood experiences, and feminist approaches to EER, and connects these topics to broader understandings of student success in engineering. Justin completed his Ph.D. in Engineering Education (’22) and M.S. in Aeronautics and Astronautics (’21) at Purdue University, and two B.S. in Mechanical Engineering and Secondary Mathematics Education at the University of Nevada, Reno (’17). Atop his education, Justin is a previous NSF Graduate Research Fellow and has won over a dozen awards for research, service, and activism related to marginalized communities, including the 2020 ASEE ERM Division Best Diversity Paper for his work on test anxiety. As a previous homeless and food
. Sadri specializes in resilience engineering, evacuation modeling, shared mobility, social influence modeling, machine learning, agent-based modeling, and network modeling. Dr. Sadri’s research is currently funded by National Science Foundation (NSF), United States Department of Transportation (USDOT), Florida Department of Transportation (FDOT) and United States Agency for International Development (USAID). Dr. Sadri’s previous research has been funded by the National Science Foundation (NSF), Indiana Department of Transportation (INDOT), Indiana Local Technical Assistance Program (LTAP), and Andrew W. Mellon Foundation.Mr. Khondhaker Al Momin, University of Oklahoma Khondhaker Al Momin is a senior lecturer in
International Programmes for Overseas Teacher sponsored by ITEC. Offered three SWAYAM MOOC courses – E-content Development, OER for Empowering Teachers and AICTE NITTT Module 1 Orientation towards Technical Education and Curriculum Aspects. Her areas of interest encompass Data and Text Mining, Cloud Computing, Technology-Enabled Teaching and Learning, Instructional Design, E-Learning, and Open Educational Resources (OER), as well as Immersive Technologies.Dr. Dinesh Kumar KSA Dr. K S A Dineshkumar, Professor, Department of Civil Engineering, National Institute of Technical Teachers Training and Research, Chennai. He has been working in the domain of Student Assessment and Evaluation, Learned - Centered approach, Outcome
Ability: Construction and Validation of the Spatial Reasoning Instrument for Middle School Students,” Journal of Psychoeducational Assessment, vol. 35, no. 7, pp. 709–727, Oct. 2017.[4] M. Hegarty, M. Keehner, and C. Cohen, “The Role of Spatial Cognition in Medicine: Applications for Selecting and Training Professionals,” p. 49.[5] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” International Electronic Journal of Elementary Education, vol. 1, no. 2, pp. 83–96, Mar. 2009.[6] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study,” Journal of Educational Psychology, vol. 93, no. 3, pp. 604–614, 2001
engineers and negotiate their multiple identities in the current culture of engineering. Dina has won several awards including the 2022-2023 Outstanding Research Publication Award by the American Educational Research Association (AERA) Division I, 2018 ASEE/IEEE Frontiers in Education Conference Best Diversity Paper Award, 2019 College of Engineering Outstanding Graduate Student Research Award and the Alliance for Graduate Education and the Professoriate (AGEP) Distinguished Scholar Award. Dina’s dissertation proposal was selected as part of the top 3 in the 2018 American Educational Research Association (AERA) Division D In-Progress Research Gala. Dina was a 2016 recipient of the National Science Foundation’s Graduate
enough: Early prediction of student success and event-level difficulty during a novice programming task.,” International Educational Data Mining Society, 2019. [3] K. Rivers and K. R. Koedinger, “Data-driven hint generation in vast solution spaces: a self-improving python programming tutor,” International Journal of Artificial Intelligence in Education, vol. 27, pp. 37–64, 2017. [4] Y. Dong, S. Marwan, P. Shabrina, T. Price, and T. Barnes, “Using student trace logs to determine meaningful progress and struggle during programming problem solving,” International Educational Data Mining Society, 2021. [5] A. Emerson, M. Geden, A. Smith, E. Wiebe, B. Mott, K. E. Boyer, and J. Lester, “Predictive student modeling in block
assessment of 3-D spatial skills," in Proc. American Society for Engineering Education Annual Conf., Pittsburgh, 2008. 2. M. Hegarty and D. Waller, "Individual differences in spatial abilities," in The Cambridge handbook of visuospatial thinking, Cambridge University Press, New York, 2005, pp. 121–169. 3. D. Lubinski, "Spatial Ability and STEM: A Sleeping Giant for Talent Identification and Development," Personality and Individual Differences, vol. 49, no. 4, pp. 344–351, 2010. 4. K. McGrew and J. Evans, "Internal and External Factorial Extensions to the Cattell– Horn–Carroll (CHC) Theory of Cognitive Abilities: A Review of Factor Analytic Research Since Carroll’s Seminal 1993 Treatise," Carroll Human Cognitive Abilities (HCA
“…the most important factor in student motivation and involvement.” [27, p. 3] and can include office hours and supplemental review sessions as well as informal conversation.• Collaboration: Teachers can facilitate both formal and informal groups of students to take advantage of the fact that student learning is higher when it is collaborative or social in nature.• Active Learning: Team projects, peer critiques, challenging discussions, and structured problem-solving exercises all serve to move learning away from being a spectator sport into a process in which students are actively engaged.• Feedback: Frequent feedback from teachers whether through formal, graded assignments or more informally through prompt responses
in Defining and Measuring Well-Being and Their Implications for Policy,” in Future Directions in Well-Being: Education, Organizations and Policy, M. A. White, G. R. Slemp, and A. S. Murray, Eds., Cham: Springer International Publishing, 2017, pp. 163–167. doi: 10.1007/978-3-319-56889-8_28.[5] E. L. Deci and R. M. Ryan, “Hedonia, eudaimonia, and well-being: an introduction,” J Happiness Stud, vol. 9, no. 1, pp. 1–11, Jan. 2008, doi: 10.1007/s10902-006-9018-1.[6] R. Biswas-Diener, “The subjective well-being of small societies,” Handbook of Well-Being, p. 849, 2018.[7] C. D. Ryff and C. L. M. Keyes, “The structure of psychological well-being revisited.,” Journal of personality and social psychology, vol. 69, no. 4, p
54.7% 580 56.8% 279 52.5% U.S. Status* Domestic 1517 82.0% 571 82.2% 630 81.5% 316 82.8% International 305 16.6% 117 16.9% 131 17.1% 57 15.0% Percentages (of all respondents) may not add to 100% due to non-responses. *U.S. Status “Domestic” includes U.S. citizens, permanent residents, and DACA recipientsCourse DemographicsThe forty-three courses surveyed in mechanical, electrical, and computer engineering aresummarized in Table 3. Eight courses were surveyed pre-COVID, twenty-seven courses weresurveyed in ERT during portions of 2020 and 2021, and eight were surveyed post-COVID. Table 3: Courses Studied Period of
and published in academic journals, reports, dissertations, and conference materials. Methods &Result: The study reveals a multifaceted definition of effective mentorship, highlighting both formal structured programs and informal, spontaneous connections between mentors and mentees. Drawing from established theories like Kram's mentorship theory and Edmondson's psychological safety concept, the instruments analyzed demonstrate a diverse conceptual foundation rooted in higher education. Over 40 years, 47 unique instruments were identified, reflecting a global interest in doctoral education research, with the USA leading in the number of studies. While many instruments exhibit high internal consistency reliability and
83 4.70% International 188 10.65% Native Hawaiian or Other Pacific Islander 3 0.17% Two or more races 66 3.74% Unknown 46 2.60% White 1,159 65.63% Missing 62 3.51% URM Status No 1,581 89.52% Yes 123 6.96% Missing 62 3.51% First-Gen Status First-gen
the NationalScience Foundation.References[1] D. F. Lohman, “Spatial Ability and G.” 1993.[2] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[3] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” International Electronic Journal of Elementary Education, vol. 1, no. 2, pp. 83–96, Mar. 2009.[4] C. Julià and J. Ò. Antolì, “Enhancing Spatial Ability and Mechanical Reasoning through a STEM Course,” International Journal of Technology and Design Education, vol. 28, no. 4, pp. 957–983, Dec. 2018.[5] M. Stieff and D. Uttal, “How
. (2017). Democratizing digital learning: Theorizing the fully online learning community model. International Journal of Educational Technology in Higher Education, 14(1), 1-16.[3] Boston, W. E., & Ice, P. (2011). Assessing retention in online learning: An administrative perspective. Online Journal of Distance Learning Administration, 14(2).[4] Cochran, G. L., Boveda, M., & Prescod-Weinstein, C. (2020). Intersectionality in STEM Education Research. In Handbook of Research on STEM Education (pp. 257-266). Routledge.[5] de la Torre, L., Heradio, R., Jara, C. A., Sanchez, J., Dormido, S., Torres, F., & Candelas, F. A. (2013). Providing collaborative support to virtual and remote laboratories. IEEE Transactions on
Education, vol. 35, no. 4, pp. 601-635, 2013.[7] J. P. Smith III, A. A. DiSessa, and J. Roschelle, "Misconceptions reconceived: A constructivist analysis of knowledge in transition," The journal of the learning sciences, vol. 3, no. 2, pp. 115- 163, 1994.[8] J. H. Wandersee, J. J. Mintzes, and J. D. Novak, "Research on alternative conceptions in science," Handbook of research on science teaching and learning, vol. 177, p. 210, 1994.[9] S. Vosniadou, "Conceptual change research: An introduction," in International Handbook of Research on Conceptual Change: Routlege, Taylor and Francis, 2013, pp. 1-8.[10] C. A. Chinn and W. F. Brewer, "The role of anomalous data in knowledge acquisition: A theoretical
entrepreneurship research, vol. 1999, no. 1, pp. 73–87, 1999.[15] A. Naktiyok, C. Nur Karabey, and A. Caglar Gulluce, “Entrepreneurial self-efficacy and entrepreneurial intention: the Turkish case,” International entrepreneurship and management journal, vol. 6, pp. 419–435, 2010.[16] F. Wilson, J. Kickul, and D. Marlino, “Gender, entrepreneurial self–efficacy, and entrepreneurial career intentions: Implications for entrepreneurship education,” Entrepreneurship theory and practice, vol. 31, no. 3, pp. 387–406, 2007.[17] J. Kickul, F. Wilson, D. Marlino, and S. D. Barbosa, “Are misalignments of perceptions and self‐efficacy causing gender gaps in entrepreneurial intentions among our nation’s teens?,” Journal of Small Business and
, "Implementation and analysis of a Chemical Engineering Fundamentals Concept inventory (CEFCI)," Education for Chemical Engineers, vol. 7, no. 1, pp. e32-e40, 2012.[15] K. M. Bursic, "An engineering economy concept inventory," The Engineering Economist, vol. 65, no. 3, pp. 179-194, 2020.[16] J. Tait, L. Alexander, E. Hancock, and J. Bisset, "Interventions to support the mental health and wellbeing of engineering students: A scoping review," European journal of engineering education, vol. 49, no. 1, pp. 45-69, 2024.[17] A. P. Barrasso and K. E. Spilios, "A scoping review of literature assessing the impact of the learning assistant model," International Journal of STEM Education, vol. 8, no. 1, pp. 1-18, 2021.[18] M. T
), Moderately True (3), and Exactly True (4)] with a sum score for the whole measure. TheAGQ-R [21] is on a Likert scale from 1-5 [Strongly Disagree (1) to Strongly Agree (5)]. Eachgoal orientation is the sum of three specific questions associated with it (mastery-approach: 1, 3,7; mastery-avoidance: 5, 9, 11; performance-approach: 2, 4, 8; and performance-avoidance: 6,10, 12). The Metacognitive Self-Regulation Measure of the MSLQ [24] is on a scale from 1-7[Not true at all of me (1) to Very true of me (7)]. The scores for the MSLQ are then averaged.Students completed the measures towards the end of the course, and the study was approved bythe International Review Board (IRB).ResultsTo better understand the manner in which students report their