Paper ID #43022Examining the Relationship between Local Sense of Belonging and Students’Development of Socio-Academic Relationships in Introductory STEM ClassesDr. Trevion S. Henderson, Tufts University Trevion Henderson is Assistant Professor of Mechanical Engineering at Tufts University. He earned his Ph.D. in Higher Education at the University of Michigan.Collette Patricia Higgins, James Madison University ©American Society for Engineering Education, 2024Examining the Relationship between Local Sense of Belonging and Students’ Development of Socio-Academic Relationships in Introductory STEM
Paper ID #42663Contradicting Objects: An Activity Systems Perspective Towards TransformativeLearningDr. Lorena S. Grundy, Tufts University Lorena Grundy is an ASEE eFellows postdoctoral fellow at Tufts University, where she works with Milo Koretsky to study chemical engineering education. She received her BSE from Princeton in 2017 and PhD from UC Berkeley in 2022, both in chemical engineering.Dr. Milo Koretsky, Tufts University Milo Koretsky is the McDonnell Family Bridge Professor in the Department of Chemical and Biological Engineering and in the Department of Education at Tufts University. He is co-Director of the
Paper ID #42284Visual Voices in Computing: Exploring Photovoice in Computer Science Educationfor Underrepresented GroupsMiss Disha Patel, Florida International University Disha Patel is a computer science Ph.D. Candidate in the School of Computing and Information Sciences (SCIS) at Florida International University. Her research interests include using the photovoice method to investigate how underrepresented students perceive they can be best supported through navigation of the computer science field.Mrs. Monique S. Ross, The Ohio State University Monique Ross earned a doctoral degree in Engineering Education from Purdue
pursue PhD degree where I can work on AI problems that serve science and society.Dr. Catia S. Silva, University of Florida Catia S. Silva is an Instructional Assistant Professor in the ECE department at the University of Florida. Her expertise is in machine learning, data science and engineering education. Dr. Silva is a GitHub Campus Advisor and can help integrate GitHub with your courses. ©American Society for Engineering Education, 2024 Adaptive Affect-Aware Multimodal Learning Assessment System for Optimal Educational Interventions Abstract— Researchers recognize the potential of affective, or emotional, features inenhancing learning systems, but many current
Sant´ısima Concepci´on, Chile.Mrs. Monique S. Ross, The Ohio State University Monique Ross earned a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University ©American Society for Engineering Education, 2024 Navigating real-world complexity: A guide to multiple case studies in Engineering Education researchINTRODUCTIONThe evolution of engineering education has significantly influenced the research methodologiesemployed by scholars in the field. Within the field, researchers use a diverse range
Paper ID #44126Assessing the Effectiveness of a Professional Formation in Engineering CourseSequence within the Electrical Engineering Department via Student’s Readinessfor Industrial Jobs: An Undergraduate Researcher’s Investigation in a PARProjectDuc Anh Vu Trinh, University of South Florida I am a third-year undergraduate Electrical Engineering student at the University of South Florida.Dr. Dhinesh Balaji Radhakrishnan, Purdue University Dhinesh Radhakrishnan is a research scientist in the School of Engineering Education at Purdue University.Dr. Chris S. Ferekides, University of South Florida ©American
Paper ID #41956Defining Measurement Constructs for Assessing Learning in MakerspacesMr. Leonardo Pollettini Marcos, Purdue University Leonardo Pollettini Marcos is a 3rd-year PhD student at Purdue University’s engineering education program. He completed a bachelor’s and a master’s degree in Materials Engineering at the Federal University of Sao Carlos, Brazil. His research interests are in assessment instruments and engineering accreditation processes.Dr. Julie S. Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is a Professor in the George W. Woodruff School of Mechanical Engineering at the Georgia Institute
Paper ID #42679Leveraging Lived Experiences of Nontraditional Engineering Students: PreliminaryData and AnalysisDr. Ean H. Ng, Oregon State University Ean H. Ng is an assistant professor at Oregon State University. She received her Ph.D. in Systems and Engineering Management from Texas Tech University. Her research interests include engineering economic analysis, high reliability organization, safety engineering, peer effects in workplace safety, and performance measurement.Dr. Ganapathy S. Natarajan, University of Wisconsin, Platteville Ganapathy Natarajan, Ph.D., CPEM is an Associate Professor in Industrial Engineering
is an Assistant Professor in the Department of Engineering Science at Trinity University in San Antonio, Texas.Dr. Jessica E. S. Swenson, University at Buffalo, The State University of New York Jessica Swenson is an Assistant Professor at the University at Buffalo. She was awarded her doctorate and masters from Tufts University in mechanical engineering and STEM education respectively, and completed postdoctoral work at the University of Michigan. Her research work aims to improve the learning experience for undergraduate students by examining conceptual knowledge gains, affect, identity development, engineering judgment, and problem solving.Danielle Francine Usinski, University at Buffalo, The State University of New
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
of competence ● Validated and reliable student performanceTo answer the Research Question, teaching can be redesigned to support students in transfertheir knowledge and skills by integrating the transfer of learning and authentic assessmentconcepts displayed in Table 1.MethodologyBased on an undergraduate engineering program at the Singapore Institute of Technology,students are exposed to simulations using finite element analysis (FEA) and computationalfluid dynamics (CFD) as part of their Year 1 engineering foundation [15], [16]. In Year 2, thestudents are taught the Mechanical Simulation (M&S) module to learn how to solve ill-structured
. Educ. Psychol., vol. 99, no. 2, pp. 397–420, 2007, doi: 10.1037/0022-0663.99.2.397.[5] V. Simms, S. Clayton, L. Cragg, C. Gilmore, and S. Johnson, “Journal of Experimental Child Explaining the relationship between number line estimation and mathematical achievement : The role of visuomotor integration and visuospatial skills,” J. Exp. Child Psychol., vol. 145, pp. 22–33, 2016, doi: 10.1016/j.jecp.2015.12.004.[6] V. Crollen and M. Noël, “Journal of Experimental Child Spatial and numerical processing in children with high and low visuospatial abilities,” J. Exp. Child Psychol., vol. 132, pp. 84–98, 2015, doi: 10.1016/j.jecp.2014.12.006.[7] P. G. Clifton et al., “Design of embodied interfaces for
practices in US classrooms," Teach. Teach. Educ., vol. 99, p. 103273, Mar. 2021, doi: 10.1016/j.tate.2020.103273[3] M. J. Hannafin, J. R. Hill, S. M. Land, and E. Lee, "Student-centered, open learning environments: Research, theory, and practice," Handbook of Research on Educational Communications and Technology, pp. 641-651, May 2013, doi: 10.1007/978-1-4614- 3185-5_51[4] B. L. McCombs and J. S. Whisler, The Learner-Centered Classroom and School: Strategies for Increasing Student Motivation and Achievement. The Jossey-Bass Education Series. San Francisco, CA: Jossey-Bass Inc., 1997.[5] J. N. Agumba¹ and T. Haupt, "Collaboration as a strategy of student-centered learning in construction technology
improveretention, researchers have applied asset-based perspectives to studying retention of marginalizedstudents. This approach often emphasizes the role of social capital [1], [11] and socializers [12]–[14] as primary drivers of motivation to pursue STEM education and careers. This present paperbegins to unpack the unique relationship between socializers and the decision students atminority serving institutions (MSIs) make to pursue STEM. We report on the experiences ofstudents gathered using qualitative methods and examined through the lens of expectancy valuetheoretical framework.Theoretical Framework: Expectancy-ValueMotivation to pursue a career in STEM can be modeled through Eccles et al.'s Expectancy-Valuetheory (EV) [15]. EV establishes a direct
(S-STEM) grant to increase engineering degree completion of low-income, high achievingundergraduate students. The project aims to increase engineering degree completion byimproving student engagement, boosting retention and academic performance, and enhancingstudent self-efficacy by providing useful programming, resources, and financial support (i.e.,scholarships). This work is part of a larger grant aimed at uncovering effective strategies tosupport low-income STEM students’ success at HBCUs. The next section will discuss thebackground of this work.Keywords: Historically black colleges/universities (HBCUs), learning environment,undergraduate, underrepresentationBackgroundA public historically black land-grant university in the southeastern
publications in the context of US No data range Include all publications until the date of the literature searchAbstract Review To test the initial inclusion criteria, a pilot abstract review was conducted. Thisabstract review was conducted using Rayyan (https://www.rayyan.ai), a collaborative systematicliterature review software for organizing, sharing, managing, and preserving records and data.Following Polanin et al.'s (2022) best practice guidelines, only 10% of the retrieved literature wasreviewed for the pilot study. The objectives were two-fold: 1) Search strategy refinement, aimingto further refine the inclusion criteria and their working definitions, and 2) Project management,to estimate an approximate number or
other contexts were not considered.• The research should incorporate at least one significant finding related to the discrimination encountered by Asian engineering students, even if this is not the primary research question the study aims to address. After refining the search criteria, we identified nine studies. These studies arelisted in Table 1.Table 1Selected Studies 1 Bahnson, M., Hope, E., Satterfield, D., Alexander, A., Briggs, A., Allam, L., & Kirn, A. (2022). Students’ Experiences of Discrimination in Engineering Doctoral Education. 2022 ASEE Annual Conference & Exposition. https://peer.asee.org/41006.pdf 2 Lee, M. J., Collins, J. D., Harwood, S. A., Mendenhall, R., & Huntt, M. B
, I think, because anybody can use the tool to give me a summary. I guess my view on that would be that maybe assessments can start looking at students' ability to critically analyze these summaries that GenAI tools provide, to reason about what is accurate, what is not accurate.’ (George)Our findings also aligned with Nikolic et al.'s (2023) suggestion for a shift in assessment fromonline to oral or in-person exams. A similar conclusion was reached by Qadir (2023), whobelieved a shift in assessment methods towards oral exams or individual projects could reducethe risks posed by GenAI, while the traditional way of assessment can be used as daily exercisewith less focus on the students’ final grades.Hillary proposed
]. Both face and contentvalidity search to decide the degree to which a construct is accurately translated intooperationalization. Face validity examines the operationalization at face value to determinewhether it is a good translation of the construct [26], while content validity examines theoperationalization compared to the construct’s relevant content area(s) (i.e., the appearance thatthe instrument measures what it is intended to measure) [27].Survey items were written by the first author and then reviewed and critiqued by various groups.The authors’ research lab group initially provided feedback on the survey questions’ clarity andreadability, and whether the items are relevant and right for measurement. This research groupbrings expertise
research at the graduate level. However, studying creativity at thegraduate level is essential because creativity is required to generate new knowledge throughresearch. This study seeks to address the gap in knowledge about graduate-level creativitythrough a thematic analysis of five semi-structured interviews with engineering graduatestudents. These interviews are part of a larger mixed-methods research project with the goal ofcharacterizing the creative climate of graduate-level engineering education. In the interviews, weasked participants about their creative endeavors, how they define creativity, and theirperceptions of creativity within engineering. We used Hunter et al.’s (2005) creative climatedimensions as a theoretical framework to
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
. Bilec, A. Dukes, A. Nave, A. Landis, and K. Parrish, “Developing and Sustaining Inclusive Engineering Learning Communities and Classrooms.” In 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022.[3] D. T. Rover, M. Mina, A. R. Herron-Martinez, S. L. Rodriguez, M. L. Espino, and B. D. Le, “Improving the Student Experience to Broaden Participation in Electrical, Computer and Software Engineering,” in 2020 IEEE Frontiers in Education Conference (FIE), 2020, pp. 1–7.[4] L. Long and J. A. Mejia, “Conversations about Diversity: Institutional Barriers for Underrepresented Engineering Students,” J. Eng., vol. 105, no. 2, 2016.[5] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell
to student success in engineering education,” EuropeanJournal of Engineering Education, vol. 42, no. 4, pp. 368–381, 2017.[5] M. Scheidt, A. Godwin, E. Berger, J. Chen, B. P. Self, J. M. Widmann, and A. Q. Gates,“Engineering students’ noncognitive and affective factors: Group differences from clusteranalysis,” Journal of Engineering Education, vol. 110, no. 2, pp. 343–370, 2021.[6] S.-M. R. Ting and R. Man, “Predicting academic success of first-year engineeringstudents from standardized test scores and psychosocial variables,” International Journal ofEngineering Education, vol. 17, no. 1, pp. 75–80, 2001.[7] B. F. French, J. C. Immekus, and W. C. Oakes, “An examination of indicators ofengineering students’ success and persistence
components ofspatial ability which may aid in the creation of more complete training.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] 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.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial
of communicating learning achievement since theearly 1900’s [1]. Despite grades having the very practical purpose of communicating our levelsof learning or performance achievement to both the learners and the educational system morebroadly [2], [3], when reflecting on the moments and instances in which we remember receivinggrades we likely don’t only remember the learning material or content. Intertwined with thesememories of receiving grades are likely emotional reactions - sometimes incredibly strong. Thejoy and pride of achieving a good grade, the disappointment or frustration with a bad grade, orthe anticipatory excitement or fear related to either preparing for a graded event such as an examor presentation, or even waiting for a grade
to figure out which elements on project teams are prompting the development and practiceof professional skills on project teams to understand if those elements can be replicated in other settings.Not all students or institutions have the resources or availability to expand or participate in project teams.However, by understanding which structures or elements have been useful for developing professionalskills, instructors can introduce similar tactics into classroom settings so more students have opportunitiesto develop their professional skills.References[1] L. Bland, S. Kusano, and A. Johri, “Engineering Competitions as Pathways to Development of Professional Engineering Skills,” in 2016 ASEE Annual Conference & Exposition
particular focus on their hidden identity, mental health, and wellbeing. Her work aims to enhance inclusivity and diversity in engineering education, contributing to the larger body of research in the field.Mr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral candidate in the Department of Engineering Education at University at Buffalo. His research interests lie in the area of diversity, equity and Inclusion, mental health and wellbeing.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment
the importance of recognizing issues and variationsin emotional responses, particularly in students facing math difficulties. They highlight the dynamicnature of these emotional states, which can significantly shift across diverse learning activities andinfluence the engagement level [37]. For example, negative emotions raise frustration levels whichcan be helpful during focused learning and problem–solving s but when the time constraint isinvolved, the same emotion can be the reason for a lower engagement level [1].The second research question focused on the specific emotions have researchers proposed aspotential indicators of deeper cognitive engagement in educational settings. When we are talkingabout specific emotional indicators
]. • Honoring the language(s) and cultural practices of minoritized communities, recognizing how racialized ideologies shape engineering education [21]. Curriculum and students • Fostering cultural competencies and social justice through culturally responsive engineering curriculum [22], [23]. • Link between social and technical aspects [24] - [26]. Learning • Learning centered in students’ funds of knowledge Profession and education • Expanding pathways into engineering Broader issues, the • Contextualizing the work in