Conference Session

Educational Research and Methods Division (ERM) Technical Session 21

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kaden Holt, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Topics

Diversity

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Educational Research and Methods Division (ERM)

student-to-instructor interaction has a significantimpact on students’ learning and engagement [31]. Similarly, studies also show that student-to-instructor interactions help the student create a sense of belongingness in the online courses [32].Limitations, Implications, and Future WorkSimilar to other research studies, this study also comes with limitations. The sample recruited forthis study includes participants from one university at undergraduate level and is not representativeof the broader online engineering programs/community. Additionally, the undergraduate studentsrecruited were from only three engineering majors: information technology, software engineering,and graphic information technology, which does not reflect the experiences of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jacqueline Rohde, Georgia Institute of Technology; Sai Paresh Karyekar, Georgia Institute of Technology; Liangliang Chen, Georgia Institute of Technology; Yiming Guo, Georgia Institute of Technology; Ying Zhang, Georgia Institute of Technology

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Diversity

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Educational Research and Methods Division (ERM)

who changemajors, and students who are veterans (e.g., [7], [27]). Other work has indicated the importanceof factors such as motivation and belongingness [5], [28]. While those factors are not connectedto a students’ academic record, they are an important reminder of what academic records can andcannot reflect about students. MIDFIELD leaders point to the value of qualitative research tofurther explore the quantitative findings [9]. Similarly, this paper represents the early quantitativestrand of a larger mixed-method project seeking to identify opportunities to support ECEstudents.The past few years have seen the engineering education research community grapple with thepotential contributions of educational data mining students’ academic

Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Susan L. Amato-Henderson, Michigan Technological University; Jon Sticklen, Michigan Technological University

Tagged Divisions

Educational Research and Methods Division (ERM)

criterion validity is whether academic motivation predicts GPA (whereacademic motivation FA results are compared to GPA). Content validity is a question of howrepresentative the individual items in an instrument reflect the whole construct of interest. Forexample, an instrument to assess motivation may include items regarding interest, success,and usefulness (i.e., motivation would likely increase if one is interested in, experiencessuccess with, and finds the learning helpful material). Suppose the instrument also containeditems unlikely to be associated with the construct of interest, such as including items inquiringabout socioeconomic status and intelligence on an instrument designed to assess motivation.In that case, we might find that those

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Paul Fernandez, Utah Valley University; Walker Eads, Utah Valley University; Israd Hakim Jaafar, Utah Valley University; Abolfazl Amin, Utah Valley University; Abdennour C. Seibi, Utah Valley University

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Diversity

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Educational Research and Methods Division (ERM)

we learned about in theundergraduate mechanical engineering curriculum such as Materials Science and Engineering.An example is provided where we have attempted to reflect on the experimental data that iscollected based on fundamentals of mechanical property behavior that we learned about in thatcourse. This research work presents unique challenges we have faced in getting involved andperforming the assigned work. This paper can be used as a platform for other institutions withsimilar populations on practices and instruction that can get non-traditional students involved inimpactful research and in the process gain invaluable knowledge and a meaningfulundergraduate experience.IntroductionUVU is an open-admissions public teaching institution

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

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Diversity

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Educational Research and Methods Division (ERM)

supported by the National Science Foundation under GrantNumbers 2346868 and 2144698. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would like to express gratitude to Team Y for participatingin this study and for their willingness to open their meetings to us and provide feedback on theinitial drafts of this paper. We would also like to thank Dr. Nicola Sochacka for her insightfulfeedback and discussions as we analyzed our initial data. Finally, we would like to thank themembers of the ENLITE research team who gave feedback to the drafts of this paper.References[1] M. Borrego and L. K. Newswander

Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abasiafak Ndifreke Udosen, Purdue University ; Alejandra J. Magana, Purdue University ; Elsje Pienaar, Purdue University

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Diversity

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Educational Research and Methods Division (ERM)

could be’, 2019, doi: 10.1007/s11186-019-09345-5.[26] S. Hunziker and M. Blankenagel, ‘Single Case Research Design’, Research Design in Business and Management, pp. 141–170, 2021, doi: 10.1007/978-3-658-34357-6_8.[27] R. H. Horner and J. Ferron, ‘Advancing the Application and Use of Single-Case Research Designs: Reflections on Articles from the Special Issue’, Perspectives on Behavior Science , vol. 45, pp. 5–12, 2021, doi: 10.1007/s40614-021-00322-x.[28] V. S. Athota and A. Malik, ‘Within-Case Qualitative Analysis’, Managing Employee Well-being and Resilience for Innovation, pp. 95–174, 2019, doi: 10.1007/978-3-030- 06188-3_5.[29] I. Halevi Hochwald, G. Green, Y. Sela, Z. Radomyslsky, R. Nissanholtz-Gannot, and O

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marjan Naghshbandi, University of Toronto; Sharon Ferguson, University of Toronto; Alison Olechowski, University of Toronto

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Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

CS.Next, the theme of collaboration was also found to be beneficial for students’ formation of bondsin CS. This result is reflected in prior work whose results suggest that the long-term impacts ofproject-based learning in STEM transcend traditional learning outcomes to also includeprofessional advancement and friendships [60]. Further, authors demonstrate that students’exposure to collaborative assignments are a significant, positive predictor of their persistence inCS [26]. Interestingly, however, the more recent work of Lehman et al. [32] found that students’exposure to collaborative pedagogy in introductory CS courses was a significant, negativepredictor for persistence. In their discussion, they suggest that the surprising result may

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)

betelling of how students approach learning with the affective domain [14]. Also, returning to theidea that the domains are connected is reflected in the fact that many of studies found focus on twodomains at a time instead of only one domain at a time [4-7], [14-19]. Several studies exist thatresearch the domains, but they focus on testing a specific class within engineering or non-engineering majors [4-6], [9], [14-16], [18], [20]. Similarly, the studies that focus on math orchemistry classes may not have tested solely engineering students, which could still distort or skewresults towards conclusions that may not apply to engineering students overall [4-5], [21]. Theproblem with these studies is that their findings cannot be generalized for all

Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Fanyi Zhang, Purdue University; Beth M. Holloway, Purdue University ; Eric Holloway, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

items passed the .32 criteria, and together, the model explained a totalof 46.26% variance. Therefore, we proceeded with the more parsimonious one-factor solution.The one-factor CFA model fitted poorly to the data. Therefore, we explored the modificationindices. By allowing error covariances of similarly worded items (i.e., between items 16 and 18,19 and 21, 17 and 23, 19 and 22, 19 and 20, and 20 and 21), we reached an acceptable model fitfor the one-factor solution of the CFA sample (χ2 = 137.52, df = 16, p < 0.001, RMSEA = 0.1095% CI [0.085, 0.116], CFI = 0.96, TFI = 0.93). All items loaded above .50 onto the mindsetfactor. These modifications reflected the covariance among items that focused on intelligenceand among items that focused on

Conference Session

Reviewing Methods for Educational Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Khondhaker Al Momin, University of Oklahoma; Javeed Kittur, University of Oklahoma; Tahrima Rouf, University of Oklahoma; Arif Mohaimin Sadri, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

Conference Session

Instrument Design and Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Felicity Bilow, Clarkson University; Mohammad Meysami, Clarkson University ; Jan DeWaters, Clarkson University

Tagged Divisions

Educational Research and Methods Division (ERM)

. Fila et al. note that all three dimensions have featuresthat overlap with one another; for instance, engineers work with customers, communities, andother stakeholders to design solutions for these communities and customers that meet their needs.The overlap of these two dimensions in the second factor reflects this dynamic. The third factor’sitems, collectively, represent all three dimensions of Fila et al.’s framework. Items that addressstudents’ understanding of the broad nature of engineering fit both the for and with dimensions,for example asking, “how engineering decisions are made” and “how engineers work with otherprofessionals.” Items that address students’ self-perceived problem solving capabilities and thedegree to which they picture

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hayaam Osman, Purdue University ; Matthew W. Ohland, Purdue University

Tagged Topics

Diversity

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Educational Research and Methods Division (ERM)

analyses at subsequent time points. For instance, if X students drop out orgraduate by the end of a semester, they will be removed from subsequent analyses, ensuring thatthe remaining students constitute the entire study cohort for subsequent persistence analyses.The study will acknowledge the dynamic nature of student enrollment, and robust measures willbe employed to handle attrition. The removal of students who exit the program will ensure thatanalyses reflect the evolving composition of the sample, contributing to the accuracy andrelevance of the findings.ConclusionIn conclusion, this study undertakes comprehensive exploration of the factors influencingengineering student persistence, with a particular focus on the impact of Calculus I. By

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Youla Ali, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

–student interaction data, where the frequency of online interactions proved to betterindicate student persistence and success than did the length of interactions. And the study by Aguiaret al. (2014) [14] predicted persistence using first‐year engineering students' electronic portfolios,extracting information about their course engagement through their reflections about engineeringadvising, project updates, and engineering exploration throughout the course. Using attributesrelated to student activities such as assignment skips, assessment performance, and video skips andlags to predict student dropout in online courses, while the study by Halawa et al. (2014) [15] wasable to successfully flag 40%–50% of students who dropped out of the course

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)

summarizedmemos. A guiding research question prompted participants to reflect on how they felt others sawthem as engineers. This question was derived from previous work that quantitatively exploredundergraduate engineering identity and recognition beliefs [11] and specifically uses thephrasing “see you as an engineer” to keep questions in the participants’ language [37]. The open-ended nature of the focus groups allowed for follow-up questions and permitted researchers togather rich details about participants’ experiences to go beyond whether they do or do notbelieve others saw them as an engineer and to better explore the qualities of experiences that ledto these beliefs. Questions relevant to this study are presented in Table 1.Table 1: Focus

Conference Session

Educational Research and Methods Division (ERM) Technical Session 23

Collection

2024 ASEE Annual Conference & Exposition

Authors

Fadhla B. Junus, Purdue University ; Junior Anthony Bennett, Purdue University ; Theresa Green, Purdue University ; Jason Morphew, Purdue University ; Ruth Wertz, Purdue University

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Educational Research and Methods Division (ERM)

similarity. In this design, students are encouraged toexpress their initial perspective on a situation before engaging in modeling, reflecting, anddiscussing their views. These approaches aim to improve their understanding of a givensituation. As for the second aspect, action-based embodied design aims to establish afoundation for mathematical concepts by utilizing students’ natural abilities, with a specificfocus on their adaptable sensorimotor skills. In this design, students utilize technologyinterventions to manipulate objects to reach a specific goal state. We identified three studiesincluded in this systematic review ([18], [20], [41]) that implemented both aspects ofembodied design frameworks.These three studies incorporate game-based play

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)

partially focused ontesting or proving that all three domains are connected in the overall learning process -- they areconnected [17]. It found all the domains to be correlated when evaluating students’ learning,meaning more research should be conducted on how to better connect all three domains in a classstructure for deeper understanding, the rest of their findings predominately relate to the affectiveand psychomotor domain [17]. This idea is directly echoed in another report finding that all threedomains need to be intentionally integrated into a class for more effective learning [10]. This ideathat the domains are connected is reflected in the fact that many studies focus on two domains ata time instead of only one domain at a time [4-5], [10