Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Julianne Latimer, Georgia Institute of Technology; Mary Lynn Realff, Georgia Institute of Technology; Clara Blue Templin, Georgia Institute of Technology; Jill Fennell, Georgia Institute of Technology; Christie Stewart, Georgia Institute of Technology; Lesley Baradel, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #42510 My name is Clara Templin, and I am from New Orleans, Louisiana. In terms of my educational interests, I am very curious about sustainability and ways to get rid of existing plastic pollution. In my senior year of high school, I conducted my own research project to see how plants grow when fertilized with normal mealworm poop compared to mealworm poop from a styrofoam diet. I am interested in exploring more topics like this. I am a third-year student in Materials Science and Engineering at Tech, and I am minoring in Industrial Design.Jill Fennell, Georgia Institute of Technology Jill Fennell, the Frank K. Webb Chair in Communication Skills at the George W. Woodruff School of Mechanical

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University; Eric Trevor McChesney, University of Pittsburgh; Carlie Laton Cooper, University of Georgia; Allison Godwin, Cornell University; Linda DeAngelo, University of Pittsburgh; Kevin R. Binning

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

insights into the potential importance of socioculturalinterventions within engineering classrooms to improve the engineering climate, engagement, andretention of women and Black, Latino/a/x, and Indigenous (BLI) students. INTRODUCTION This research paper investigates predictors of engineering identity at the beginning of afirst-year engineering course as part of a larger project to understand continued enrollment inengineering courses. Retaining interested undergraduate students in engineering tracks requires aclear understanding of the predictors and influences on continued enrollment in engineeringcourses. Particularly, the retention of women of all races/ethnicities, and students who identify

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Qin Liu, University of Toronto; Greg Evans P.Eng., University of Toronto; Oliver Pan, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

that most of the papers with a focus onstudent engagement (139 in total) that were published between 2003 to 2023 reported howvarious educational interventions, such as use of distinctive pedagogies (e.g., project-basedlearning [2]; service learning [3]; game-based learning [4]), could enhance student engagement.While these studies contribute to identifying effective pedagogical approaches to enhancing theengagement of students at large, they were not designed to investigate who were more, or less,engaged in the educational practice; therefore, they do not inform how those students who wereless engaged in learning could be better supported to achieve optimal learning outcomes

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anna Li Coffman, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

the five hierarchical levels of the affective domain (seeTable 1 for details on hierarchical levels). Finally, participants were asked (Q11) which of thethree domains they preferred to learn with and why. It should be noted that this interview consistedof questions about all three domains, and the results were split into three papers to better emphasizethe findings related to each domain of learning. In this paper, we focus only on the affective domainof learning. Readers interested in understanding more about the research on cognitive andpsychomotor domain are directed to the other papers from this project [2-3].Q1: How do you perceive learning as a process?Learning is an integral part of our lives. Each one of us learns the same things

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Amy L. Brooks, Oregon State University; James L. Huff, Harding University

Tagged Divisions

Educational Research and Methods Division (ERM)

for assessing interviewquality was developed as part of a larger, ongoing research project that is using IPA. From theIPA perspective, in-depth, one-on-one interviews effectively allow participants to recount richand detailed experiences in their lives [1]. The nature of semi- or unstructured interviews meanthat things can and do change throughout the course of the interview, and so, while it is commonto develop an interview protocol for an IPA interview, it generally serves the purpose ofpreparation for likely content and determining the appropriate order of questions rather thanstrict interview instructions. The interview quality reflection tool (IQRT)The development of the IQRT emerged as part of the ongoing IPA

Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew M. Grondin, University of Wisconsin - Madison; Michael I. Swart, University of Wisconsin - Madison; Arushi Renschler Pandey, University of Wisconsin-Madison; Katherine Fu, University of Wisconsin - Madison; Mitchell Nathan, University of Wisconsin - Madison

Tagged Divisions

Educational Research and Methods Division (ERM)

environments for mathematics education that rely heavily on students’ own comprehension processes for self-evaluation and self-directed learning (so-called unintelligent tutoring systems). Prof. Nathan has authored over 100 peer-reviewed publications, given more than 120 presen- tations at professional meetings, and has secured over $25M in research funds to investigate and improve STEM learning, reasoning and instruction. Among his projects, Dr. Nathan directed the IERI-funded STAAR Project, which studied the transition from arithmetic to algebraic reasoning, served as Co-PI for ©American Society for Engineering Education, 2023

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University ; Alejandra J. Magana, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

to(a) expert opinions and (b) real machine learning code relevant to Alaina’s Dilemma. First, theexpert opinions came from accessible public-facing news outlets that reported on the manner:MIT Technology Review [53] and The Lever [54]. Second, the machine learning code wasdemonstrated to the students during class. This was an end-to-end machine learning project [55],from downloading and cleaning the data to training and refining the model, which was modifiedfor students’ skill level by the instructor.Introducing outside perspectives and expert opinions helps induce “safe” conflict in the students’beliefs and perspectives. Here, they further learn to consider outside information in theirdecision-making process and that ethical dilemmas are

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiuhao Ding, University of Illinois at Urbana - Champaign; Meghana Gopannagari, University of Illinois at Urbana - Champaign; Kang Sun, University of Illinois at Urbana - Champaign; Alan Tao, University of Illinois at Urbana - Champaign; Delu Louis Zhao; Sujit Varadhan, University of Illinois at Urbana - Champaign; Bobbi Lee Battleson Hardy, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Hongye Liu, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

aforementioned digitalnote project. In total, students were surveyed three times across different semester checkpoints. Inthis paper, the following subset of open-ended questions from the later two surveys were selectedfor analysis: 1. Evaluation 1: What benefits do you see from using digital notes? 2. Evaluation 2: What complaints do you have for digital notes in helping you learn new materials? (or frame as how satisfied are you?) 3. Errors: What errors in the digital notes have you noticed after using it for the past weeks? 4. Satisfaction: How do you describe your experience of using digital notes as a whole? And how do you describe your experience of using certain features of digital notes? 5. Adaptation: Have you developed new

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

problem-solving strategies rather than resorting to unethical practices such as cheating. “I believe over time it will replace many jobs such as journalism, story writing, coding, and others that primarily use language to complete tasks. However, for engineering specifically, I see it as an important aid in helping to determine root cause analysis for complex system where NDI is required or to cut costs on proof of concepts by being able to simulate things more accurately. But this is still at least four to six years away from being even remotely reliable for engineering information. Currently it's really only good for basic tasks or writing code, which writing code for a project using ChatGPT does save a tremendous amount

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

John Mario Bonilla; Miguel Santiago Valarezo; Miguel Andres Guerra, Universidad San Francisco de Quito

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #44122WIP: Unannounced Tests and Examinations to Improve Student Performanceand Build Academic IntegrityJohn Mario BonillaMiguel Santiago ValarezoDr. Miguel Andres Guerra, Universidad San Francisco de Quito MiguelAndres is an Assistant Professor in the Polytechnic College of Science and Engineering at Universidad San Francisco de Quito USFQ. He holds a BS in Civil Engineering from USFQ, a M.Sc. in Civil Engineering in Construction Engineering and Project Management from Iowa State University, a Ph.D. in Civil Engineering with emphasis in Sustainable Construction from Virginia Tech, and two Graduate Certificates from

Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Adrian Nat Gentry, Purdue University ; Julie P. Martin, University of Georgia; Kerrie A. Douglas, Purdue University ; Eric Holloway, Purdue University; Cole Thompson, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

comfortable standing up for themselves in the face of harassment. For example, Elioshared: I have a great relationship with my boss. She was not my professor [i.e., Elio had never taken a course with her], but she was the lead professor for the course. And she is always like, “You can come to me for anything,” and things like that. And she is a professor and she’s great about that for every student, not just me. I can hold my coworkers [fellow TAs] accountable a little bit more if anything they’re saying is like, “Whoa, [that’s inappropriate]” [unlike] if I were in a team of engineers in a group project with 200 other students in the mechanical [engineering] space and a professor that I barely know.Elio credited their professor with

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University

Tagged Divisions

Educational Research and Methods Division (ERM)

foundational assumption within the use of contentanalysis is that by establishing a set of common codes, organized into themes, large amounts ofqualitative textual data can be considered within fewer content categories [12] as a route to identifythemes or patterns in the text driven. Content analysis has variations based on research traditionwith some common steps: defining the categories, coding process and the coder training,implementation of coding, and analyzing the coded material [13]. Within coding, inductive anddeductive analyses may be useful depending on the existing prior knowledge on the research topic[14].Strengths & Weaknesses: Content analysis provides systematic analysis of text data whileallowing for an organic project-specific

Conference Session

Supporting Underrepresented and LGBTQ Students

Collection

2023 ASEE Annual Conference & Exposition

Authors

Stephanie A Damas, Clemson University; Lisa Benson, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

motivation and their learning experiences. Her projects include studies of student perceptions, beliefs and attitudes towards becoming engineers and scientists, and their development of problem-solving skills, self- regulated learning practices, and epistemic beliefs. Other projects in the Benson group involve students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002

Conference Session

Pedagogy and Instructional Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yinqi (Anna) Zhang, Penn State University; Brian Belland, Penn State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

pursue a college degree in STEM and moved on to a graduate degree in EducationalPsychology. The first author uses ‘they/she’ pronouns. The studies from which the interviewcame are part of a grant to the second author, which focused on helping preservice, earlychildhood teachers learn to debug block-based programming so they can teach with robots.Through the project, we developed scaffolding to help these preservice teachers learn to debug,and researched the effectiveness of such [30], [31], [32], [33]. But one of the critical take-awaysfrom this research was the importance of the positionality of the informants as prospectiveteachers who were learning to teach early learners, women who are highly under-represented incomputer science and

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)

than two ‘daily’questions and no more than one weekly survey) based on our calculations for accounting formissing data.Data AnalysisThe future goal of this project is to generate a predictive multivariate model for graduate attritionusing time series analysis, in which it is crucial to understand how variables are correlated andhave characteristics over time such as trend, stationarity, and seasonality [34]–[36]. In addition,the decision-making process regarding degree objectives is extremely complicated andindividualized.To start this process, in this paper, we begin by investigating descriptive statistics. We exploreddata across meaningful groups of students, starting with the students’ “outcomes” at the end of theyear. For our analysis, we

Conference Session

Investigating Student Pathways to and through Undergraduate and Graduate Programs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Emma Treadway, Trinity University; Kailey Tubbs, Trinity University; Melissa Joan Caserto, University at Buffalo, The State University of New York; Michelle Lee, Trinity University; Jessica E. S. Swenson, University at Buffalo, The State University of New York

Tagged Divisions

Educational Research and Methods Division (ERM)

more importantly their instructors frameand react to student emotions during problem-solving.Within the context of this larger research goal, we are seeking in this work to develop methodsfor measuring affective pathways during problem-solving as a first step towards understandingtheir influence on global affect. In our previous work [6], we reported on our initial developmentof a survey instrument to measure the emotions that students experience while solving a problemor completing a project. In this paper, we present our iteration on that survey instrument as westrive to capture students’ experiences while solving a particular type of ill-defined problemtermed an Open-Ended Modeling Problem, or OEMP for short [7]. Here, we present the

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Beth (Ann Elizabeth) Wittig, City University of New York, City College of New York, Department of Civil Engineering

Tagged Divisions

Educational Research and Methods Division (ERM)

talk about their responsibilities as college-level learners (e.g., know what is expected,do the work, manage time, present work clearly, write effectively, create productive groups, andcommunicate professionally). A “lack of social integration” is addressed by providing weeklyopportunities to connect with their peers (e.g., partnered in class activities, peer tutoring), withfaculty (e.g., office hours, one-on-one advisement sessions), and with major resources (e.g.,study rooms, major events like mixers, college events like career fairs).The content delivery is designed to be engaging and student-centered. Experiential learningapproaches such as active learning, project-based learning, and service learning are the norm inthe intervention, as is

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)

, 1971). By acquiring multiple sources of information about the sameevent occurring in a social setting, researchers can integrate and triangulate these data, enhancingthe analysis’ depth and accuracy. Therefore, in this research project, the researcher engaged inextensive first-hand observation in classroom settings throughout the semester, collectedstudents’ written responses reflecting their class, and conducted open-ended interviews designedto validate our findings with students’ perspectives. Second, investigations of instructors’ pedagogical practices in naturalistic settings, versusin a laboratory or through lab-based experiments, can yield different findings (Le Compte &Goetz, 1982). Indeed, identifying instructor’s

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lorena S. Grundy, Tufts University; Milo Koretsky, Tufts University

Tagged Divisions

Educational Research and Methods Division (ERM)

throughout the interviews.The general goal of the project was described to participants at the beginning of the interview asfollows: “The purpose of the research is to gain insight into how instructors in higher educationmake instructional design decisions, such as whether and how to incorporate research-basedpedagogical innovations. We are particularly interested in how instructors’ environments,including department culture, university policies, resources, etc., contribute to those decisions,which in turn affect students.” At the end of each interview, the interviewer asked participants ifthey had any other comments that might be useful for the project.Transcription was performed using Microsoft Word, and qualitative coding was performed

Conference Session

Exploration of Written and Team Communication

Collection

2023 ASEE Annual Conference & Exposition

Authors

D'Arcy Randall, Dept. of Mechanical Engineering, The University of Texas at Austin; Hyesun You, The University of Iowa; Daniel S. Puperi, The University of Texas at Austin; Thomas E. Lindsay, The University of Texas at Austin; Rhya Moffitt Brooke, The University of Texas at Austin

Tagged Divisions

Educational Research and Methods Division (ERM)

Consultants to assist engineering undergraduates with technical reports. She publishes and presents research in two fields: engineering ethics and writing, and literature.Dr. Hyesun You, The University of Iowa Hyesun You, Ph.D., is an assistant professor in the Department of Teaching and Learning. Before joining UI, Hyesun worked as an assistant professor at Arkansas Tech University. She also previously served as a post-doc fellow at New York University and Michigan State University, where she participated in NSF-funded grant projects. She earned her BS in Chemistry and MS in science education from Yonsei University. Her MEd in quantitative methods and Ph.D. in Science Education at the University of Texas at Austin

Conference Session

Student Performance and Learning & Open-ended problems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Huihui Qi, University of California San Diego; Minju Kim, University of California San Diego; Yu Li, University of California San Diego; Carolyn L. Sandoval, University of California, San Diego; Curt Schurgers, University of California San Diego; Marko V. Lubarda, University of California San Diego; Xuan Emily Gedney; Saharnaz Baghdadchi, University of California San Diego; Alex Phan, University of California San Diego

Tagged Divisions

Educational Research and Methods Division (ERM)

California, San Diego Dr. Sandoval is the Associate Director of the Teaching + Learning Commons at the University of Cali- fornia, San Diego. She earned a PhD in Adult Education-Human Resource Development. Her research interests include adult learning and development, faculty deProf. Curt Schurgers, University of California San Diego Curt Schurgers is a Teaching Professor in the UCSD Electrical and Computer Engineering Department. His research and teaching are focused on course redesign, active learning, and project-based learning. He also co-directs a hands-on undergraduate research program called Engineers for Exploration, in which students apply their engineering knowledge to problems in exploration and

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amirreza Mehrabi, Purdue University; Jason Morphew, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

machine learning and cognitive research). My background is in Industrial Engineering (B.Sc. at the Sharif University of Technology and ”Gold medal” of Industrial Engineering Olympiad (Iran-2021- the highest-level prize in Iran)). Now I am working as a researcher in the Erasmus project, which is funded by European Unions (1M $ European Union & 7 Iranian Universities) which focus on TEL and students as well as professors’ adoption of technology(modern Education technology). Moreover, I cooperated with Dr. Taheri to write the ”R application in Engineering statistics” (an attachment of his new book ”Engineering probability and statistics.”)Dr. Jason Morphew, Purdue University Jason W. Morphew is an Assistant Professor

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amy Kramer, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

engineer?Once the detailed analytic memos were complete, I iteratively condensed them through furtheranalysis to determine the main ideas for each category of analysis as presented in the followingsections. I also compared the memos for each series and each depiction of an engineer to identifyany common themes or counternarratives presented.Researcher PositionalityResearcher positionality impacts all research projects and is a fundamental aspect of the researchtopic, epistemology, ontology, methodology and communication (Secules et al., 2021). As such,I want to make clear my positionality and reflect upon how my positionality motivates thisproject and how I situate myself within the project (Jones et al., 2013). I identify as a whitecisgender

Conference Session

Work-in-Progress Session: Supporting Students To, Through, and Beyond Transitions

Collection

2023 ASEE Annual Conference & Exposition

Authors

Janet Aderemi Omitoyin, The University of Illinois at Chicago; Renata A. Revelo, The University of Illinois, Chicago; Musab Kazi; Betul Bilgin, The University of Illinois, Chicago; Justin Merchan; Houshang Darabi, The University of Illinois, Chicago

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

follow-up questions during the interviews and finetune the following protocol interviewfor a richer data collection [ [30].Data AnalysisThe interviews were transcribed verbatim and MAXQDA software was used for analysis.Because this project is a work-in-progress, we are currently finishing the first cycle of codingdone individually by three of the authors. For this cycle of coding, we are using deductive codinganalysis guided by the framework and a codebook from the baseline interviews with the samecohort of students, as reported in [26]. The multiple cycles of coding working together andindividually by different researchers provide trustworthiness in the study [31]. The preliminaryresults shared in this paper summarize the working prevalent

Conference Session

Supporting Students with Disabilities and Understanding Spatial Ability and Accessibility

Collection

2023 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Natalie L. Shaheen; Wade H. Goodridge, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

of adjusting to Braille and a more tactile environment.ConclusionResults of this study have shown that there are a variety of reasons low-scoring BLV individualsmay be distracted from selecting the correct answer on several TMCT items discussed herein.Factors such as participants misunderstanding the nature of a cross-sectional shape, participantsnot fully understanding the instructional protocol, or subtle differences between shapes in thetactile graphic answer format may cause confusion and lead to participants selecting incorrectanswer choices. Results from this study will help direct future projects relating to thedevelopment of tactile spatial ability assessments for BLV populations to eliminate challengesthat are more prevalent in non

Conference Session

Supporting Students with Disabilities and Understanding Spatial Ability and Accessibility

Collection

2023 ASEE Annual Conference & Exposition

Authors

David Searle, Utah State University; Daniel Kane, Utah State University; Natalie L. Shaheen; Wade H. Goodridge, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

small level of potential differentiation into howthey may have developed their spatial abilities in the past.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] J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” J. Educ. Psychol., vol. 101, no. 4, pp. 817–835, Nov. 2009, doi: http://dx.doi.org/10.1037/a0016127.[3] D. H. Uttal et al., “The malleability of spatial skills: A meta-analysis of training studies,” Psychol. Bull

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lorena S. Grundy, Tufts University; Milo Koretsky, Tufts University

Tagged Divisions

Educational Research and Methods Division (ERM)

example, for some, thequestion might have been part of a homework assignment, while for others it may have beenused during lecture to stimulate active learning. Similarly, only a subset of instructors includedfollow-up questions asking students to explain their answer and answer whether they understoodwhat the question was asking and whether it made them think deeply about the course material,as shown in Figure 1. We selected only cases where all of those follow-ups were part of theassignment and where the students provided consent to participated in the study. This study wasconducted as part of a larger project to facilitate and study the use and propagation of theConcept Warehouse in mechanical engineering. [36]Table 1. Institutions

Conference Session

Work-in-Progress Session: Emergent Methods for Engineering Education Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Harpreet Auby, Tufts University; Milo Koretsky, Tufts University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #38728Work in Progress: Using Machine Learning to Map Student Narratives ofUnderstanding and Promoting Linguistic JusticeHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and social justice.Dr. Milo Koretsky, Tufts

Conference Session

Work-in-Progress Session: Emergent Methods for Engineering Education Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Natalie Dow; Ryan Lee; Zihui Zhu, Embry-Riddle Aeronautical University - Prescott; Kaela M Martin, Embry-Riddle Aeronautical University - Prescott; Elif Miskioglu, Bucknell University; Adam R Carberry, Arizona State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Understand StudentProblem-Solving ApproachesMotivation and BackgroundProblem-solving is an essential skill needed in the field of engineering [1]. The ability toeffectively solve complex engineering problems can be the difference between project successand failure, but problem solving differs based on expertise. Experts are known to employdifferent problem-solving strategies compared to novices [2, 3]. Experts’ greater informationprocessing capacity [4] allows them to approach a problem in a non-systematic manner [5].Specific skills that allow experts to effectively solve a problem are the ability to mentallyrepresent a situation and the ability to employ different problem-solving approaches for differenttypes of engineering problems [6]. Expertise

Conference Session

Educational Research and Methods Division (ERM) Technical Session 4

Collection

2024 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)

the early stages, our study leverageslongitudinal survey data to outline their initial experiences. This is the foundational step indeveloping a comprehensive understanding of the change in international students’ experiences.MethodsRecruitment This study is an extension of a prior project that primarily investigated attrition ofdomestic students at the Master’s level within engineering disciplines [33]. For data collection, weutilized longitudinal surveys distributed through SMS text messaging on cellphones from October31st, 2022, to November 3rd, 2023. Students were recruited from the top 50 institutions grantingengineering Master’s and Ph.D. degrees based on [34]. We recruited 25 first-year internationalgraduate students in engineering