Conference Session

Educational Research and Methods Division (ERM) Technical Session 23

Collection

2024 ASEE Annual Conference & Exposition

Authors

Talha Naqash, Utah State University, Logan ; Oenardi Lawanto, Utah State University; Zain ul Abideen, Utah State University; Angela Minichiello, Utah State University

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Educational Research and Methods Division (ERM)

Paper ID #42944Unmasking Cognitive Engagement: A Systematized Literature Review of theRelationships Between Students’ Facial Expressions and Learning OutcomesMr. Talha Naqash, Utah State University, Logan Mr.Talha Naqash is currently pursuing his doctoral studies in Engineering Education at Utah State University. With a profound educational background spanning multiple disciplines, he holds an MS in Telecommunication and networking. His extensive research contributions are reflected in numerous publications and presentations at prestigious IEEE; ASEE conferences, Wiley’s & Springer Journals. His research primarily

Conference Session

Educational Research and Methods Division (ERM) Technical Session 9

Collection

2024 ASEE Annual Conference & Exposition

Authors

Disha Patel, Florida International University; Monique S. Ross, The Ohio State University

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Diversity

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Educational Research and Methods Division (ERM)

process, and the inherent value derived from the study’s outcomes. Themes thatemerged and were defined from discussion exercises with participants are the following: ’lost andfound,’ signifying moments of uncertainty and discovery; ’lack of community,’ highlightingfeelings of isolation; ’not surface level,’ underscoring the depth and complexity of the issuesdiscussed; and ’community,’ reflecting participants’ desire for, or efforts toward, building a senseof belonging within the research program. These themes serve as integral components of ourinvestigation into the impact of photovoice on understanding the perspectives of underrepresentedgroups in computing.Keywords: Photovoice, computer science, underrepresentation, student perception1

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

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Educational Research and Methods Division (ERM)

U.S. higher education contexts, there are few studies that specificallycenter them to contextualize their experiences. International graduate students experience uniquechallenges, such as acculturation, isolation, and visa status, that impact attrition and student well-being. Previous studies are mainly focused on acculturation or language problems for studentsacross disciplines. For engineering disciplines, the expectation of English language proficiency isdifferent than that of other majors like humanities, and engineering students may rely onmathematical and experimental data more heavily than English proficiency to perform well in theirresearch. Therefore, understanding how international graduate students reflect on their

Conference Session

Educational Research and Methods Division (ERM) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duc Anh Vu Trinh, University of South Florida; Dhinesh Balaji Radhakrishnan, Purdue University ; Chris S. Ferekides, University of South Florida

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Educational Research and Methods Division (ERM)

skills obtained, and PFE activities.These initial categories are obtained based on the theme of the questions combined with theresearch questions of this paper. During the grouping process, it was also necessary to verify thetranscribed data to ensure its accuracy in reflecting the participants’ responses and to avoid anyerrors introduced by the transcription program. Ultimately, the frequency of a specific responsewithin each group is recorded, summarized, and analyzed to obtain the prevailing trend in theparticipants’ answers.Preliminary ResultsThe analysis of student interviews so far reveals a consensus among most participants regardingthe efficacy of Professional Formation in Engineering (PFE) classes in facilitating the acquisitionof

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alfred C. H. Tan, Singapore Institute of Technology; Christian Della, University of Glasgow; Jamil Jasin, Singapore Institute of Technology; Li Hong Idris Lim, National University of Singapore; Victor Wang; Chee Ming Ong; Yun Mei Elisa Ang; Arturo Molina-Cristobal, University of Glasgow

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Educational Research and Methods Division (ERM)

) Reflection section on linking existing information – Students had to reflect on what sortof existing KSAs they had used to solve the task given in (1). They then orally presented thisreflection.The students are evaluated before and after the M&S module to ascertain the effectiveness ofthe intervention in an online survey and hence, determine their needs for transferringlearning.(a) A 14 item Transfer of Learning Questionnaire (TLQ) adapted from [18], provided pre-and post-intervention, measures student perception of the importance, ease, and potentialobstacles to transfer. This questionnaire is composed of three constructs – attitudes totransfer, barriers to transfer, and learning retention. All 14 items are rated on a standardLikert scale from

Conference Session

Educational Research and Methods Division (ERM) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bruce Frederick Carroll, University of Florida; Janice Mejía, Northwestern University; Kent J. Crippen, University of Florida; Sheila Castro, University of Florida

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Educational Research and Methods Division (ERM)

perspectives. This work-in-progress paper describes the mixed-methods researchdesign considerations in formulating the study with emphasis on the quantitative portion.Detailed development of the qualitative portions of the study are still in progress and will bereported at future date.Positionality Statement The authors openly acknowledge and reflect on their subjective stance and potentialbiases by providing a positionality statement that encompasses our backgrounds and experiencesas they may relate to this work. We begin with this statement to assist readers in understandingpossible influences this bias may have in our process. Bruce Carroll is a white male engineeringeducator with a tendency toward an emic account from the institutional

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Joel Alejandro Mejia, The University of Texas at San Antonio

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Diversity

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Educational Research and Methods Division (ERM)

, social constructions and hierarchies, historical background, andsocioeconomic status among other social constructs. As Anzaldúa explored her ownupbringing and lived reality, she deconstructed those spaces she inhabited where she faceddiscrimination and ambiguity to imagine and (re)shape a third space where new realitiescould exist [16]. Through a process of self-reflexivity, Anzaldúa explains, Nepantla becomesa (re)imagined space rather than a dichotomy of worlds [16]. Anzaldúa claims that Nepantlasoften emerge through writing – the writing that comes from deep and critical reflection thateventually leads to a process that catalyzes transformation.Nepantla is also a way to explore the world through lived experience and engage indecolonial

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cory Lam, University of Washington; Denise Wilson, University of Washington

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Diversity

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Educational Research and Methods Division (ERM)

courses are so rigorous that the cost of fully engaging intheir engineering courses is high.Consistent with existing literature that use multiple elements of value to investigate the nuancesin academic outcomes [28], [29], [32], this study uses items that both reflect intrinsic and utilityvalue. In addition to expectancy and value measures, several control variables are relevant to thisstudy of cognitive engagement. Specifically, we control for gender, race, ethnicity, familyincome, first generation status, and international student status in our regression models. We alsostudy the contribution of broad prior interests (to pursue engineering) as well as more specificintrinsic interests to self-efficacy, value, and ultimately to cognitive

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sierra Outerbridge, University of Central Florida; Michelle Taub, University of Central Florida; Marino Nader, University of Central Florida; Sudeshna Pal, University of Central Florida; Ricardo Zaurin, University of Central Florida; Hyoung Jin Cho, University of Central Florida

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Educational Research and Methods Division (ERM)

to enhance Hispanic/Latino transfer student success. ©American Society for Engineering Education, 2024 Investigating Motivation and Self-Regulated Learning for Students in a Fundamental Engineering CourseAbstractMotivation and self-regulated learning (SRL) are two interconnected constructs that are criticalfor student learning, especially for those in challenging fundamental engineering courses such asThermodynamics. Each of these elements are integral to the learning process and typicallyimpact one another, as fostering motivation can lead to improved self-regulatory skills. SRL isdescribed as a cyclical process where students plan, set goals, monitor learning, and reflect tofurther plan

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emad A Mansour, University of South Florida

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Educational Research and Methods Division (ERM)

inquiries and discussions have brought to light several issues with thereliability and validity of SETs as the primary measure of teaching quality. There is mountingevidence that end-of-semester evaluations are biased and represent an imperfect measure of aninstructor's performance. They may not accurately reflect the true quality of teaching, or at thevery least, they are unfair [6], [7], [8].Transitioning from traditional paper-based surveys to electronic ones in higher education, whilecost-effective, presented certain drawbacks, particularly in terms of significantly reducedresponse rates, which led to skepticism about the validity and reliability of SETs [9], [10].The limitations of SETs have led to continuous calls for a more comprehensive and

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

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Educational Research and Methods Division (ERM)

,reflection notes writing, fits the objectives of the present study of finding whether the machinelearning-based data analysis resulting in similar and usable results as compared with the analysisresults from the inductive process of the grounded theory. Raised as a theory-construction methodthat takes data as the basis for theories to emerge, grounded theory has a unique fit with themachine learning-based analysis approach in that both are inductive in nature.Machine learning (ML)-based or mixed approachesPreviously researchers have conducted ML-based analysis on the sentiment of financial newsreports or labeled information of survey questions [7]. Sentiment analysis is a classification taskthat can be handled by manual labeling of a small set of

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

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Educational Research and Methods Division (ERM)

will detail our methodology, present our findings, and discuss the benefitsand limitations of integrating ChatGPT into qualitative analysis for engineering educationresearch.MethodsTo gather qualitative data, our team devised a semi-structured interview protocol comprisingfour segments: introduction and warm-up, engineering identity, teamwork, and conclusion.When time permitted, we asked the interviewees to reflect upon stories of practicing engineers,which were compiled from publicly accessible accounts of the day-to-day experiences ofpracticing engineers. This interview framework and other relevant aspects of our research designreceived approval from our institution’s Institutional Review Board.Throughout the RIEF project, we conducted a

Conference Session

Educational Research and Methods Division (ERM) Technical Session 16

Collection

2024 ASEE Annual Conference & Exposition

Authors

Omar Jose Garcia, University of Oklahoma; Javeed Kittur, University of Oklahoma

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Educational Research and Methods Division (ERM)

parallel study of this project, we aim to further investigate the findings from thisstudy by examining engineering doctoral students’ perceptions on their preparedness to teach varybased on their demographic characteristics, prior teaching experiences and trainings, etc. [16]. Inanother study, we analyze engineering doctoral students’ expectations, reflections, and concernsregarding their future in academia [17].Theoretical FrameworkThe survey instrument developed is grounded in the self-efficacy and self-perception theory. Theself-efficacy theory provides a framework to act as a predictor of how individuals may perform inthe future based on their confidence in their ability in a certain task or domain [18]. According toBandura [19], [20], a

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Wei Lu, Texas A&M University; Behbood Ben Zoghi P.E., Texas A&M University

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Educational Research and Methods Division (ERM)

faculty and industry 100 sponsor) Project Charter 100 *Should be signed by your industry sponsor as commitment of resources toward your project and authorization of work. Methodology 150 Submit PowerPoint slides for Project Plan to Communication professor n/a Project Plan Presentation (Capstone & Communication faculty and industry 100 sponsor) Project Plan 200 Midterm Reflection 50 TOTAL TCMT631. Capstone I

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xinfeng (Kevin) Quan, Westlake University; Chaoyi Wang, Zhejiang Normal University ; Chenhui Zhang, Self-employed

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Educational Research and Methods Division (ERM)

students’ agentic engagement, self-efficacy, growth mindset, and other related aspects. 1In recent years, there has been increasing attention paid to students’ epistemic beliefs and theirimpact on learning efficacy. Epistemic belief, which reflects students’ views on the nature ofknowledge and knowing, plays a crucial role in the cognitive, metacognitive, and affectivedimensions of students’ learning. Research has demonstrated that interventions targeting epistemicbeliefs can significantly enhance learning outcomes (Greene et al., 2018). Epistemic cognition -mostly measured in terms of belief (Greene et al., 2018) – is identified as the apex of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Wade H. Goodridge, Utah State University; Angela Minichiello, Utah State University

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Diversity

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Educational Research and Methods Division (ERM)

mentalrotation and spatial visualization, and the Purdue Spatial Visualization Test: Visualization ofRotations (PSVT:R) which measures mental rotation.Throughout recent years, a large number of new or adapted spatial ability instruments have beendeveloped to reflect more diverse populations involved in spatial ability research. Thissystematized literature review provides a synthesis of how valid and reliable spatial abilityinstruments measure specific constructs of spatial thinking. This work is guided by the followingresearch questions.1. How do existing spatial ability tests measure spatial thinking?2. How do spatial ability instruments available in the literature demonstrate validity andreliability?Positionality StatementThe first author is a

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brittany Leigh Oletti, United States Military Academy

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Educational Research and Methods Division (ERM)

, our research delves into the realm of student-teacher dynamicsthrough the lens of learning styles, as evaluated by the Silverman-Felder Index of Learning Styles(ILS). This study aims to contribute to the discourse within engineering education by examining thecorrelation between the alignment of student and instructor learning styles and its impact onstudent academic performance. The Silverman-Felder ILS, a well-established tool, delineateslearning styles across four dimensions: active/reflective, verbal/visual, sensing/intuitive, andsequential/global. We operationalize alignment as the proximity in four-dimensional space betweena student's ILS score and that of their instructor. Initial findings based on a cohort of 300 Cadets atthe United

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Collins Ugonna Lawrence, University at Buffalo, The State University of New York; Eunsil Lee, University at Buffalo, The State University of New York

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Educational Research and Methods Division (ERM)

terms in consultation with the engineeringlibrarian, and the finalized search string is shown in Figure 3. We are currently further refining thesearch string by taking a more systematic approach to identify terms related to the sense ofbelonging, based on the previous suggestions by Phillips et al.’s (2017) reflection on a systematicliterature review. (belonging OR belongingness OR connectedness OR relatedness OR “sense of inclusion” OR “sense of school membership” OR “sense of social fit”) AND (“engineer* educat*” OR “STEM educat*” OR “biology educat*” OR “chemistry educat*” OR “math educat*” OR “physics educat*” OR “geoscience educat*” OR “computer science educat*” OR “engineering student*” OR “STEM student*” OR “biology student*” OR

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel Figard, Arizona State University; Jennifer M. Bekki, Arizona State University; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus

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Educational Research and Methods Division (ERM)

to reflect on accessibility within this setting. Each timeco-researchers mentioned negative experiences related to their disability(s) or accessibility, theywere asked to consider what supports or changes could have improved their experience.Data Analysis and Trustworthiness Transcripts were de-identified before beginning any analysis to maintain co-researcherconfidentiality. After de-identification, transcripts were uploaded to Dedoose (2021) to code andanalyze the interview data. Data analysis was conducted in two rounds using thematic analysis(Braun & Clarke, 2006) through a critical lens. Salient themes were identified using aconstant-comparative, open coding process (Saldaña, 2016). Open coding was used in the firstround to

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Robert Harold Lightfoot Jr., Texas A&M University; Tracy Anne Hammond, Texas A&M University

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Educational Research and Methods Division (ERM)

Columbia University: an M.S in Anthropology, an M.S. in Computer Science, a B.A. in Mathematics, and a B.S. in Applied Mathematics and Physics. Hammond advised 17 UG theses, 29 MS theses, and 10 Ph.D. dissertations. Hammond is the 2020 recipient of the TEES Faculty Fellows Award and the 2011 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, which is reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu. ©American Society for Engineering Education, 2024 WIP: ASSESSMENT OF

Conference Session

Educational Research and Methods Division (ERM) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Robin Jephthah Rajarathinam, University of Illinois at Urbana - Champaign; Joshua E. Katz, University of Illinois at Urbana - Champaign; Saadeddine Shehab, University of Illinois at Urbana - Champaign; Blake Everett Johnson, University of Illinois at Urbana - Champaign; Yuting W. Chen, University of Illinois at Urbana - Champaign; Marcia Pool, University of Illinois at Urbana - Champaign; Kristin M. Chochola, University of Illinois at Urbana - Champaign

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Educational Research and Methods Division (ERM)

validated instruments tailored to GTA training, theresearch team developed and implemented a specialized survey designed around the course.The research commenced with the validation of the newly created survey instrument. Throughextensive factor analysis, the validity of the survey was established, ensuring its alignment withthe essential elements of PK and PCK. The survey comprises 40 items across 11 domains,reflecting the course modules' targeted pedagogical and leadership outcomes. The instrument'sreliability was affirmed by Cronbach’s alpha coefficients exceeding 0.75 for all domains,highlighting its consistency in measuring GTA pedagogical development.With the participationof 124 engineering GTAs in the pre-survey and 114 completing both pre

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hank Boone, University of Nevada, Las Vegas; Danxu Wang, University of Nevada, Las Vegas; Emma Regentova, University of Nevada, Las Vegas; Venkatesan Muthukumar, University of Nevada, Las Vegas; SJ Kim, University of Nevada, Las Vegas; Jonathan Hilpert, University of Nevada, Las Vegas

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Educational Research and Methods Division (ERM)

providing more scaffolding opportunitiesfor participant learning during week 2. Specifically, mentors not only made sure that participantsconduct lab exercises, but also explain reasons of why certain things do not work and explaintroubleshooting instructions. Mentors training was improved to expand upon their projectexposure to ensure they were able to explain the project development plan and ensure that everystudent in the team and the team as a whole understood the goals and were able to participate inthe project development.data collection techniques and measuresData collection consisted of three techniques: survey, reflection activity, and engineering identityformation assessment. Survey data were collected at 8 time points using established

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lara Perez-Felkner, Florida State University; Ciera Fluker; Tarik J. Dickens; Chelsea Armbrister, Florida A&M University - Florida State University

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Educational Research and Methods Division (ERM)

studies [1-3]. Yet, the opportunities to develop, sustain, and grow one’sengineering identity are not uniformly distributed across students enrolled in engineering programs, nor evenamong those select students offered the opportunities to participate in mentored engineering researchinterventions [4]. Indeed, engineering students from underrepresented and structurally marginalized groups may have feweraccess points to engage with engineering peers, mentors, and professionals prior to and during their collegiatestudies [5-7]. These challenges can compound for students who may be underrepresented on multipledimensions in this field, seeing their personal identities reflected less often in their intended engineering careers(e.g., gender, sexuality

Conference Session

Educational Research and Methods Division (ERM) Technical Session 20

Collection

2024 ASEE Annual Conference & Exposition

Authors

Terkuma Stanley Asongo, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell

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Educational Research and Methods Division (ERM)

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

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

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Educational Research and Methods Division (ERM)

a crucial tool, reflecting the learner's understandingand competence, and ultimately guiding them towards targeted improvement and development.However, in active learning the content is usually taught for a set amount of time, and a student’saptitude is based on how much they learned in that time. Conversely, mastery learning assumes thatall students, given enough time and intervention, can eventually master the content [4], [5], [6].Learning within mastery frameworks concerns itself with identifying learning trajectories andproviding students with curriculum for gaining knowledge and skills, assessing mastery throughformative assessments, and providing feedback to help students master one set of skills beforemoving on to the next set [7

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amy Kramer, The Ohio State University

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Diversity

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Educational Research and Methods Division (ERM)

ofwhich features her engineering skills. In The Expanse, Naomi Nagata is in every episode of thefirst season, but I focused my analysis on the pilot as well as episode 2, episode 7, and episode10 because they more heavily showcase Naomi’s problem-solving and engineering skills.While viewing the selected episodes, I crafted detailed analytic memos (Miles et al., 2018)reflecting on questions related to the depictions of each engineer as well as how they interactwith the elements of plot, genre, and narrative worlds around them. I drew heavily on theelements of feminist narrative theory according to Herman et al. (2012) to inform my reflectionquestions. Reflection questions included, for example: • What are the key aspects of genre, plot and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nikita Dawe, University of Toronto; Amy Bilton, University of Toronto; Lisa Romkey, University of Toronto

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Educational Research and Methods Division (ERM)

graduate attribute definitionsoften miss crucial aspects of what this looks like for engineering practice. The authorsrecommend team- and project-based educational activities to foster lifelong learning orientations.It will be important to attend to alumni reflections on these types of learning activities and anyconnections to their lifelong learning orientations.Ford et al. [28] investigated the effects of capstone design project experiences on lifelonglearning during workplace transitions. They examined alumni from four institutions, focusing ontheir initial three months at work. Challenges often related to self-directed learning, which wasless emphasized in undergrad programs, as well as interpersonal interactions with colleaguesfrom different

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

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Educational Research and Methods Division (ERM)

, resources, positive supervisor relations) can influencecreativity [35]. Hunter et al. [35] derived 14 creative climate dimensions (i.e., positive peergroup, positive supervisor relations, resources, challenge, mission clarity, autonomy, positiveinterpersonal exchange, intellectual stimulation, top management support, reward orientation,flexibility and risk-taking, product emphasis, participation, and organizational integration) fortraditional workplaces. Because engineering graduate programs are dynamic environments withcomplex interpersonal relationships and structural influences that exist in both academic andresearch settings, we modified the definitions of these dimensions to reflect research group andclassroom climates. Additionally, we

Conference Session

Educational Research and Methods Division (ERM) Technical Session 25

Collection

2024 ASEE Annual Conference & Exposition

Authors

Miguel Alfonso Feijoo-Garcia, Purdue University ; Brittany Newell; Alejandra J. Magana, Purdue University ; Mark Holstrom, Purdue University

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Educational Research and Methods Division (ERM)

manuscript introduces a lesson design in engineeringeducation to analyze and improve educational strategies, reflective practices, and instructionalmaterials.Assessment methods: This study outlines a lesson design utilizing the ArgumentationFramework to support first-year engineering students in overcoming conceptual challenges whiledeveloping engineering projects. This approach was implemented in an Engineering Technologyundergraduate course at a Midwestern university, whose curriculum covered foundational topicsin Energy Science. The task involved designing a zero-energy home using Aladdin software, asan integrated CAD/CAE platform for design and simulation. Students documented their analysis,inferences, and decisions in a design journal with

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ioana A. Badara, Post University; Buket D. Barkana, The University of Akron; Deana A. DiLuggo, University of Bridgeport

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Educational Research and Methods Division (ERM)

Final lab report 120 points Lab notebook checks 100 points total Weekly reflections 150 points total Oral Hypothesis & update presentations 50 points total communication Poster presentation Poster draft presentation 30 points Final poster presentation 100 points total TOTAL (subject to 900 points total change)2.4. Learning objectivesScientific Method: This course