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Capturing attrition decisions in engineering graduate students using longitudinal SMS data

Conference Session: Instrument Design and Development
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Kyeonghun Jwa, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

they can help themselves),” FEMS Microbiology Lett., vol. 364, no. 9, 2017.[14] N. Curtin, A. J. Stewart, and J. M. Ostrove, “Fostering academic self-concept: Advisor support and sense of belonging among international and domestic graduate students,” Amer. Educ. Res. J., vol. 50, no. 1, pp. 108–137, Feb. 2013, doi: 10.3102/0002831212446662.[15] B. J. Barnes, “The nature of exemplary doctoral advisors’ expectations and the ways they may influence doctoral persistence,” J. College Student Retention, vol. 11, no. 3, pp. 323–343, Nov. 2009, doi: 10.2190/CS.11.3.b.[16] M. Bahnson et al., “Students’ experiences of discrimination in engineering doctoral education,” in 2022 ASEE Annu. Conf. & Expo., 2022.[17

Relevance Score: 0.02423762

Studying the Development of Design Thinking of Undergraduate Engineering Students in Singapore: Qualitative Reflection Analysis (Research)

Conference Session: Design Thinking and Student Design Teams
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Eileen Fong, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University; Shamita Venkatesh, Nanyang Technological University; Mi Song Kim, University of Western Ontario; Jingyi Liu, Nanyang Technological University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

to Define Ideate Prototype and Test Stages of EDIPT Reflection 1 Reflection 2 Reflection 3 Reflection 4 Reflection 5Fig. 1. Frequencies of Each Stage in Students’ Reflections. (a) Students record theirreflections as they work through the 13-week course assignments. (b) Frequency of differentEDIPT framework stages in different reflections over time.Further, our analysis shows that EDIPT was a robust lens to evaluate the effectiveness of theselected reflection questions. At the Empathy (E) stage, students used their empathy skills tofind out users’ needs and were more willing to ask for advice from

Relevance Score: 0.024235563

Measuring the Authenticity of Engineering Learning in Community of Practice: An Instrument Development and Validation

Conference Session: Instrument Design and Development
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Wei Zhang, Zhejiang University; Liang Wang, School of Public Affairs, Zhejiang University; 帅王, the School of Public Affairs, Zhejiang University
Tagged Divisions: Educational Research and Methods Division (ERM)

)frameworks applicable to Ph. D. programs in engineering,” in 2018 ASEE Annual Conference & Exposition,2018.[5] D. Jonassen, J. Strobel, and C. B. Lee, “Everyday Problem Solving in Engineering: Lessons forEngineering Educators,” J. Eng. Educ., vol. 95, no. 2, pp. 139–151, Apr. 2006, doi: 10.1002/j.2168-9830.2006.tb00885.x. 13[6] E. Holloway, K. A. Douglas, W. C. Oakes, and D. Radcliffe, “Research Experiences Instrument ScoringGuide,” p. 3, 2021.[7] E. F. Crawley and A. E. Hosoi, “Moving Forward with the New Engineering Education Transformation(NEET) program at MIT-Building community, developing projects, and connecting with industry,” 2019.[8] E. F. Crawley, “Redesigning undergraduate

Relevance Score: 0.024203077

How Aerospace and Mechanical Engineering Undergraduate Students Define and Develop Data Proficiency

Conference Session: Educational Research and Methods Division (ERM) Technical Session 23
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Godwyll Aikins, Florida Institute of Technology; Catherine G. P. Berdanier, Pennsylvania State University; Kim-Doang Nguyen, Florida Institute of Technology
Tagged Divisions: Educational Research and Methods Division (ERM)

. 2005, doi: 10.1002/j.2168-9830.2005.tb00832.x. [8] J. A. Lyon and A. J. Magana, “Computational thinking in higher education: A review of the literature,” Computer Applications in Engineering Education, vol. 28, no. 5, pp. 1174– 1189, Sep. 2020, doi: 10.1002/cae.22295. [9] T. Doleck, P. Bazelais, D. J. Lemay, A. Saxena, and R. B. Basnet, “Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance,” Journal of Computers in Education, vol. 4, no. 4, pp. 355–369, Dec. 2017, doi: 10.1007/s40692-017-0090-9. [10] J. del Olmo-Muñoz, R. Cózar-Gutiérrez, and J. A. González-Calero, “Computational

Relevance Score: 0.024133718

Developing Power Engineering Education and Learning for Next-generation Smart Grid Workforce

Conference Session: Disciplinary Engineering Education Research – Session 2
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Nourhan E. Elatky, Rowan University; Jenny Nguyen Hoang; Mason Elwell; Ronan Connor Harkins; Juan M. Cruz, Rowan University; Jie Li, Rowan University
Tagged Divisions: Educational Research and Methods Division (ERM)

: 10.1002/9780470699270.ch3.[23] C. Scott and M. Medaugh, Axial Coding. 2017Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118901731.iecrm0012. DOI: 10.1002/9781118901731.iecrm0012. Appendix 1Interview Protocol ● Opening Questions 1. Is there a demand for a qualified workforce (smart grid/electric power)? 2. Can you tell me more about Your company's core business in smart grids, and a. What about the company’s future directions/plans combined with the business? b. Are there any specific devices/projects you or your company are working on/ advancing to increase smart grid efficiency and reliability? 3. Do the new engineering hires at your

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Review of Sense of Belonging Relevant Concepts in STEM Higher Education

Conference Session: Educational Research and Methods Division (ERM) Technical Session 10
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Xiaoye Yang, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell; Yanfen Li, University of Massachusetts, Lowell
Tagged Divisions: Educational Research and Methods Division (ERM)

.[11] P. J. Wickramaratne et al., "Social connectedness as a determinant of mental health: A scoping review," PLoS ONE, vol. 17, no. 10, p. e0275004, 2022.[12] D. A. Jorgenson, L. C. Farrell, J. L. Fudge, and A. Pritchard, "College connectedness: The student perspective," Journal of the Scholarship of Teaching Learning, vol. 18, no. 1, pp. 75-95, 2018.[13] M. Suhlmann, K. Sassenberg, B. Nagengast, and U. Trautwein, "Belonging mediates effects of student-university fit on well-being, motivation, and dropout intention," Social Psychology, 2018.[14] L. R. M. Hausmann, F. Ye, J. W. Schofield, and R. L. Woods, "Sense of belonging and persistence in White and African American first-year students," Research

Relevance Score: 0.024084542

Open-ended Modeling Problems and Engineering Identity

Conference Session: Student Performance and Learning & Open-ended problems
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Jessica E. S. Swenson, University at Buffalo, SUNY; Emma Treadway, Trinity University; Shea E. Lape; Alison Casson
Tagged Divisions: Educational Research and Methods Division (ERM)

Women Engineers: IDENTITY NEGOTIATION AMONG WOMEN ENGINEERS,” Gend. Work Organ., vol. 20, no. 4, pp. 382–396, Jul. 2013, doi: 10.1111/j.1468- 0432.2012.00589.x.[9] K. L. Tonso, “Teams that Work: Campus Culture, Engineer Identity, and Social Interactions,” J. Eng. Educ., vol. 95, no. 1, pp. 25–37, Jan. 2006, doi: 10.1002/j.2168- 9830.2006.tb00875.x.[10] K. L. Tonso, “Engineering Identity,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds., New York: Cambridge University Press, 2013, pp. 267–282. doi: 10.1017/CBO9781139013451.019.[11] J. Swenson, E. Treadway, K. Beranger, and A. Johnson, “‘Let Me See What I Could Do’: Students’ Epistemic Affect When Solving Open-ended, Real-world Problems

Relevance Score: 0.024018094

Promoting Research Quality to Study Mental Models of Ethics and Diversity, Equity, and Inclusion (DEI) in Engineering

Conference Session: Advancing Diversity, Equity, and Inclusion
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Justin L. Hess, Purdue University at West Lafayette (COE); Andrew Katz, Virginia Polytechnic Institute and State University; Isil Anakok, Virginia Polytechnic Institute and State University; Brent K. Jesiek, Cornell University; Andrew Whitehead; Sowmya Panuganti, Purdue Engineering Education
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

are a few examples of howDEI might manifest within engineering ethics, but importantly, these are but two views amongmany potential mental models regarding ethics/DEI connections [12].Our overarching study aims to explore mental models at the engineering ethics/DEI intersection,identify commonalities and distinctions across ethics and DEI scholarly communities, andidentify alignment between practitioner and academic communities. Mental models refer to thedecision-making processes and structures that individuals possess, much of which may be tacit.Mental models thus refer to a person’s internal representations of (a) state, (b) form, (c) function,and (d) purpose of a system [18]. As Jones et al. [19] stated, “A mental model is a

Relevance Score: 0.023385251

Predicting Outcomes of Aerospace and Mechanical Engineering Students via Artificial Intelligence

Conference Session: Educational Research and Methods Division (ERM) Technical Session 1
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Angel Guillermo Ortega, University of Texas at El Paso; Meagan R. Kendall, University of Texas at El Paso; Angel Flores Abad, University of Texas at El Paso; Victor Manuel Bonilla, University of Texas at El Paso; Louis J. Everett, University of Texas at El Paso
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

, in the Graduation outcome section, “DNG”refers to “Did Not Graduate”, and “G” represents “Graduated”. (a) Classification with All Predictors (b) Classification without Gender or Race Predictors Figure 1: Classification ResultsThe results were generated using different classifier selections for different neural networktraining and testing. Figure 1a shows the results of the network that uses all the classifiersavailable in Table 1. Figure 1b shows the results with the removal of the gender and ethnicityclassifiers. This provides a more general prediction without taking into account somedemographic data. We noticed that there were no major differences in the results obtained foreach combination.It is

Relevance Score: 0.023377331

Work-in-Progress: Describing the Epistemic Culture of our Research Teams from Ethnographic Observations

Conference Session: Educational Research and Methods Division (ERM) Technical Session 20
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Courtney June Faber, University at Buffalo, The State University of New York; Lorna Treffert, University at Buffalo, The State University of New York; Isabel Anne Boyd, University of Tennessee, Knoxville
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #42115Work-in-Progress: Describing the Epistemic Culture of our Research Teamsfrom Ethnographic ObservationsDr. Courtney June Faber, University at Buffalo, The State University of New York Courtney Faber, Ph.D., is an Assistant Professor of Engineering Education at the University at Buffalo (UB). Prior to joining UB in August of 2023, she was a Research Associate Professor and Senior Lecturer in Engineering Fundamentals at the University of Tennessee, Knoxville. She was also the Director of the Fundamentals of Engineering and Computing Teaching in Higher Education Certificate Program. Her research focuses on

Relevance Score: 0.023290865

Exploring Diverse Work Personas of Engineering Design Graduates through Cluster Analysis

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)

; Gamble Company. In 2005, he joined Intuit, Inc. as Senior Vice President and Chief Marketing Officer and initiated a number of consumer package goods marketing best practices, introduced the use of competitive response modeling and ”on-the-fly” A|B testing program to qualify software improvements. Mark is the Co-Founder and Managing Director of One Page Solutions, a consulting firm that uses the OGSP® process to help technology and branded product clients develop better strategic plans. Mark is a member of The Band of Angels, Silicon Valley’s oldest organization dedicated exclusively to funding seed stage start-ups. In addition, he serves on the board of several technology start-up companies.Dr. Helen L. Chen

Relevance Score: 0.023211677

Undergraduate Engineering Students’ Experiences of Faculty Recognition

Conference Session: Educational Research and Methods Division (ERM) Technical Session 21
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Kelsey Scalaro, University of Nevada, Reno; Indira Chatterjee, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #41440Undergraduate Engineering Students’ Experiences of Faculty RecognitionDr. Kelsey Scalaro, University of Nevada, Reno Kelsey is a recent PhD graduate from the Engineering Education program at the University of Nevada, Reno. She has a BS and MS in mechanical engineering and worked in the aerospace industry for four years before returning to academia to complete her doctoral degree. Her research focusses are in undergraduate engineering identity and is interested in exploring how it can be equitably supported through pedagogical practices.Dr. Indira Chatterjee, University of Nevada, Reno Dr. Chatterjee has

Relevance Score: 0.023150694

On Measuring Cultural Competence: Instrument Design and Testing

Conference Session: Instrument Design and Development
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Alicia Nicki Washington Ph.D., Duke University; Anna Romanova, Winthrop University; Philip Nelson; Siobahn Day Grady, North Carolina Central University; Legand Burge, Howard University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.REFERENCES[1] T. L. Cross, B. J. Bazron, K. W. Dennis, and M. R. Isaacs, “Towards a Culturally Competent System of Care: A Monograph on Effective Services for Minority Children Who Are Severely Emotionally Disturbed | Office of Justice Programs.”[2] A. N. Washington, “When Twice as Good Isn’t Enough: The Case for Cultural Competence in Computing,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, in SIGCSE ’20. New York, NY, USA: Association for Computing Machinery, Feb. 2020, pp. 213–219. doi: 10.1145/3328778.3366792.[3] “CRA Taulbee

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Board 76: Expansion of Peer Tutoring Program to In-Class Sessions in Multiple Disciplines

Conference Session: Educational Research and Methods Division (ERM) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Cara J Poor P.E., University of Portland
Tagged Divisions: Educational Research and Methods Division (ERM)

.[7] B. Schaer, J. Aull, C. Pancake, C. Curtis, and G. Wiens (1991). “A survey of gender biases of freshman toward engineering.” Journal of Freshman Year Experience vol. 3, pp. 39-58, 1991.[8] S. Brown and C. Poor. “In-Class peer tutoring: a model for engineering instruction.” International Journal of Engineering Education, vol. 26, no. 5, pp. 1111-1119, 2010.[9] J.Y. Tsai, D.A. Kotys-Schwartz, and M.P Hannigan. “Learning statics by feeling: the effects of everyday examples on confidence and identity development.” in Proceedings of the 2013 Annual Conference of the American Society of Engineering Education, Atlanta, GA, USA, June 23-26 2013, Paper ID# 6666, 2013.[10] M.M. Thompson and P. Garik. “The effect

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The Relation between Students’ Sense of Belongingness, Gender, and Their Resistance to Active Learning

Conference Session: Educational Research and Methods Division (ERM) Technical Session 30
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Jenefer Husman, University of Oregon; Matthew Charles Graham; Kathryn Anne Jacobson, University of Oregon; Cynthia J. Finelli, University of Michigan; Maura Borrego, University of Texas at Austin; Michael J. Prince, Bucknell University; Lea K. Marlor, University of Michigan; Madison E. Andrews, University of Texas at Austin
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #43503The Relation between Students’ Sense of Belongingness, Gender, and TheirResistance to Active LearningDr. Jenefer Husman, University of Oregon Jenefer Husman, Professor in the Educational Studies Department at the University of Oregon, received a doctoral degree in Educational Psychology from the University of Texas at Austin in 1998. She has served as an assistant editor for the Journal of Engineering Education and has served as the Education Director for an Engineering Research Center.Dr. Matthew Charles GrahamKathryn Anne Jacobson, University of OregonDr. Cynthia J. Finelli, University of Michigan Dr

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The Relationship between Mental Health, Professional Identity, and Perceptions of Inclusion in Project-Based Engineering Programs

Conference Session: Educational Research and Methods Division (ERM) Technical Session 6
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Lin Chase, Minnesota State University, Mankato; Rob Sleezer, Minnesota State University, Mankato
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

Proceedings, June 2020. [5] E. Briody, R. Rodriguez-Mejia, C. W. Rothstein, and E. Berger, “Busy times, production students: Cutoff points marking time in university engineering culture,” 2021. [Online]. Available: https://www.purdue.edu/meercat/wp-content/uploads/2020/12/REES-Final- Version-of-Paper-May-2019.pdf [6] E. Dringenberg and A. Kramer, “Smartness in engineering culture: An interdisciplinary dialogue paper,” in 2019 ASEE Annual Conference and Exposition, no. 10.18260/1-2–33272, Tampa, Florida, USA, 2019. [7] D. S. Rose M. Karra, Kelly A. Rodgers and B. Bogue, “Leaving engineering: A multi-year single institution study,” Journal of Engineering Education, vol. 101(1), pp. 6–27, 2010. [Online]. Available: https

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Exploring Engineering Graduate Students’ Perceptions of Creativity in Academic and Research Environments

Conference Session: Educational Research and Methods Division (ERM) Technical Session 4
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Autumn R. Deitrick, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

processes, problem solving & creativity,” in Proceedings- Frontiers in Education Conference, 1995. pp. 445–448.[4] C. A. Mitchell, “Creativity Is About Being Free...,” European Journal of EngineeringEducation, vol. 23, no. 1, pp. 23–34, 1998.[5] W. F. Deal, “Imagineering: Designing robots imaginatively and creatively,” The TechnologyTeacher, pp. 17–25, 2001.[6] M. Elliott, “Breakthrough thinking,” IIE Solutions, vol. 33, pp. 22-24, 2001.[7] T. Cotantino, N. Kellam, B. Cramond, and I. Crowder, “An Interdisciplinary Design Studio:How Can Art and Engineering Collaborate to Increase Students’ Creativity?,” Art Education,vol. 63, no. 2, pp. 49–53, 2010.[8] D. H. Cropley, “Promoting creativity and innovation in engineering education,” Psychologyof

Relevance Score: 0.022241095

Institutional Role in the Mental Health and Well-being of Undergraduate Engineering Students: Student and Faculty Perspectives

Conference Session: Promoting Well-Being in Engineering Education: Strategies and Perspectives
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Muhammad Asghar, Utah State University; Angela Minichiello, Utah State University; Assad Iqbal, Arizona State University
Tagged Divisions: Educational Research and Methods Division (ERM)

further investigated to ensure such social settings are beneficial forengineering undergraduates without threatening their MHW. 13REFERENCES1. B. Coley and M. Jennings, “The price of persistence: Investigating the impact of pursuing engineering on undergraduate student mental health,” presented at the IEEE Frontiers in Education Conference, Covington, KY, USA, 2019.2. M. Deziel, D. Olawo, L. Truchon, and L. Golab, “Analyzing the mental health of engineering students using classification and regression,” Educational Data Mining., 2013.3. A. Danowitz and K. Beddoes, “Characterizing mental health and wellness in students

Relevance Score: 0.022161711

Using Directional Graphs to Explore the Engineering Co-curricular Navigation Profiles of Student Groups

Conference Session: Student Teams and Teamwork
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Bahar Memarian, University at Buffalo, The State University of New York; Andrew Olewnik, University at Buffalo
Tagged Divisions: Educational Research and Methods Division (ERM)

worth coding and classifying the role and employers of students to find out whether such students: a) did all their technical experiences in one company, b) if done in the same company whether the roles are all the same or rotations were being made, and c) whether the student reported one technical experience multiple times. • Student 4 in Figure 3 medium GPA group: This student reported participating in 4 types of co-curricular experiences throughout 2015 as a junior student. It is unlikely that the breadth and depth of these experiences are similar to a student who does only one type of co-curricular in the same time period. Surveying students with such brief and heavy

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IMPACT OF OPEN EDUCATIONAL RESOURCE ON IMPROVING LEARNING PERFORMANCE OF STUDENTS

Conference Session: Virtual Training, Online and Open Education; Instructional Technology
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Atefe Makhmalbaf, The University of Texas at Arlington
Tagged Divisions: Educational Research and Methods Division (ERM)

guidelines, checklists,and rubrics to develop high quality open educational resources (e.g. [2], [8], and [9]); some of thecriteria for successfully developing OERs are: (a) Quality peer review: reputation of authors andinstitution; (b) appropriateness of content: content is accurate and fully cited, learning level andsource learning objectives are explicit; (c) technical issues and production quality: high readabilityof content; clear and understandable information; easy-to-navigate interface; (d) accessibility:availability of resources in various formats; adaptability and modularity; (e) interactivity: activelearning; class participation; formative and summative evaluation of learning; (f) supplementaryresources: links to other types and formats

Relevance Score: 0.021462426

Impact of Perceived Stress during Oral Examination on Student Performance Outcomes

Conference Session: Student Assessments and Tests
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Alex Phan, University of California, San Diego; Minju Kim, University of California, San Diego; Marko V. Lubarda, University of California, San Diego; Curt Schurgers, University of California, San Diego; Huihui Qi, University of California, San Diego
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

survey) and perceived stress (end-of-quarter survey) associated with written exam and oral exam. Students indicated whether the stress associated with the four measures above were excessive or not on a 5-point Likert scale from Strongly Disagree (low stress) to Strongly Agree (high stress).We also considered the effects of some other factors on anticipated and perceived stressassociated with written/oral exams. First-Generation (FG) students were more likely thannon-FG students to anticipate a high level of stress associated with oral exams (p < 0.0001).Different cumulative GPA students displayed various attitudes about exams. Post-hoc analysisused to compare the different GPA student groups pairwise, more middle-performance (B and

Relevance Score: 0.019917717

The development of an artificial intelligence classifier to automate assessment in large class settings: Preliminary results

Conference Session: Instrument Design and Development
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Euan Lindsay, Aalborg University; Mohammad Naser Sabet Jahromi, Visual Analysis of People Laboratory (VAP), Aalborg University
Tagged Divisions: Educational Research and Methods Division (ERM)

Processing in 2017. That same year, he joined the Visual Analysis and Perception (VAP) Laboratory at the Media Technology Section of Aalborg University as a Postdoctoral Fellow. In 2020, he transitioned to the role of Imaging Scientist at the Research and Tech- nology Department of the Demant Group, located in Copenhagen, Denmark. Subsequently, in summer 2022, he returned to Aalborg University to serve as an Assistant Professor at the VAP Laboratory within the Media Technology Section. His current research interests encompass a range of topics, including Ma- chine Learning, Deep Learning, Natural Language Processing (NLP), Explainable Artificial Intelligence (XAI), Medical Image Processing, and Computer Vision

Relevance Score: 0.014041843

An Emerging Methodological Toolkit to Support Design of Problem-Based Learning Environments: Connecting Problem Characteristics and Knowledge Types

Conference Session: Educational Research and Methods Division (ERM) Technical Session 15
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Dave Mawer, University at Buffalo, The State University of New York; Andrew Olewnik, University at Buffalo, The State University of New York; Lisa Retzlaff, North Carolina State University; Laine Schrewe, Otterbein University; Scott Ferguson, North Carolina State University
Tagged Divisions: Educational Research and Methods Division (ERM)

practices in supporting engineering undergraduates as they transition from student to professional.Lisa Retzlaff, North Carolina State UniversityDr. Laine Schrewe, Otterbein University Dr. Laine Schrewe is an Assistant Professor in the Department of Engineering, Computer Science, and Physics at Otterbein University. Before transitioning to this role, Laine designed engines for Honda Research and Development for 9 years and then transitioned to education to develop a high school engineering program that she taught for 8 years. She is passionate about improving the educational experience of diverse populations in engineering programs and about utilizing instructional strategies that better connect engineering coursework to

Relevance Score: 0.01387305

Integrating Participatory Methods in the Study of Equity and Inclusion

Conference Session: Advancing Diversity, Equity, and Inclusion
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Kristen Moore, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Qiuxing Chen; Anne M. McAlister, University of Virginia; Courtney Burris; Jada Vanessa Mowatt, Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods Division (ERM)

in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and inclusion, and using data science for training socially responsible engineers.Qiuxing ChenDr. Anne M. McAlister, University of Virginia Anne M. McAlister is a Postdoctoral Associate in the Department of Engineering Education at the Uni- versity at Buffalo. Her research focuses on engineering identity, social justice, and equity with the goal of broadening ideas about who engineers are and what they do in order to empower students to tackle the big issues in today’s world

Relevance Score: 0.011668796

Using Systemic Functional Linguistics (SFL) to Create an Observation Protocol for Introductory Engineering Courses

Conference Session: Educational Research and Methods Division (ERM) Technical Session 4
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Fabiola G. Rosales Sanchez, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Karen Dinora Martinez Soto, Virginia Tech
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #42211Using Systemic Functional Linguistics (SFL) to Create an Observation Protocolfor Introductory Engineering CoursesIng. Fabiola G. Rosales Sanchez, Virginia Polytechnic Institute and State UniversityDr. Nicole P. Pitterson, Virginia Polytechnic Institute and State University Nicole is an assistant professor in the Department of Engineering Education at Virginia Tech. Prior to joining VT, Dr. Pitterson was a postdoctoral scholar at Oregon State University. She holds a PhD in Engineering Education from Purdue University and othMs. Karen Dinora Martinez Soto, Virginia Tech Karen Martinez Soto is a Ph.D. candidate in

Relevance Score: 0.011295254

Strategies to Optimize Student Success in Pair Programming Teams

Conference Session: Computer Science Education and AI research
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Ayesha Johnson, University of South Florida, College of Nursing; Zachariah J Beasley P.E., University of South Florida
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #36879Strategies to Optimize Student Success in Pair Programming TeamsDr. Ayesha Johnson, University of South Florida, College of Nursing I am an assistant professor of statistics in the College of Nursing at the University of South Florida. My research interests include educational methods, and health equity. I have experience in data analysis for various types of research designs.Dr. Zachariah J Beasley P.E., University of South Florida Dr. Zachariah Beasley received his Ph.D. in Computer Science and Engineering from the University of South Florida with a focus on sentiment analysis in peer review. He is the

Relevance Score: 0.011182379

Evaluating ChatGPT's Efficacy in Qualitative Analysis of Engineering Education Research

Conference Session: Educational Research and Methods Division (ERM) Technical Session 22
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Xiaorong Zhang, San Francisco State University; Stephanie Claussen, San Francisco State University; Fatemeh Khalkhal, San Francisco State University; Yiyi Wang, San Francisco State University
Tagged Divisions: Educational Research and Methods Division (ERM)

Paper ID #42732Evaluating ChatGPT’s Efficacy in Qualitative Analysis of Engineering EducationResearchDr. Xiaorong Zhang, San Francisco State University Dr. Xiaorong Zhang is an Associate Professor in Computer Engineering in the School of Engineering at San Francisco State University (SFSU). She is the Director of the Intelligent Computing and Embedded Systems Laboratory (ICE Lab) at SFSU. She has broad research experience in human-machine interfaces, neural-controlled artificial limbs, embedded systems, and intelligent computing technologies. She is a recipient of the NSF CAREER Award to develop the next-generation