Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Betul Bilgin, The University of Illinois at Chicago; Naomi Groza, The University of Illinois at Chicago

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

students had direct experience through coursework, others hadnot formally taken statistics courses or deeply engaged with complex programming. Their self-evaluation of performance varied, often depending on whether they had taken a specific courseon the subject.StatisticsA significant number of students reported a lack of formal training in statistics, a fundamentalcomponent of data science, which impacts their ability to perform statistical analysis. Only threetook stat courses, only two mentioned using stats in CHE courses. This indicates that despite theuse of statistics in various courses, formal education in this area is not widespread among theparticipants. Their ability to perform in statistics is often judged based on whether they

Conference Session

DSA Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Neha Kardam, University of Washington; Denise Wilson, University of Washington; Sep Makhsous, University of Washington

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and instructional support on engagement and motivation in the classroom while her engineering workplace research focuses on the role of relatedness, autonomy, and competence needs on persistence and fulfillment.Sep Makhsous, University of Washington ©American Society for Engineering Education, 2024 A Comparative Analysis of Natural Language Processing Techniques for Analyzing Student Feedback about TA SupportAbstractThis paper advances the exploration of Natural Language Processing (NLP) for automatedcoding and analysis of short-answer, text-based data collected from

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kristina A Manasil, The University of Arizona; Gregory L. Heileman, The University of Arizona; Bhavya Sharma, The University of Arizona; Ahmad Slim, The University of Arizona; Aryan Ajay Pathare, The University of Arizona; Husain Al Yusuf, The University of Arizona; Roxana Sharifi, The University of Arizona; Rohit Hemaraja, The University of Arizona; Melika Akbarsharifi, The University of Arizona

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

ensure students have access to efficient, seamless, and simple ways to transfer from a community college to a university in Arizona. He serves on the board of the Association for Undergraduate Education at Research Universities, a consortium that brings together research university leaders with expertise in the theory and practice of undergraduate education and student success. In addition, he is a fellow at the John N. Gardner Institute for Excellence in Undergraduate Education. Professor Heileman’s work on analytics related to student success has led to the development of a theory of curricular analytics that is now being used broadly across higher education in order to inform improvement efforts related to

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmad Slim, The University of Arizona; Gregory L. Heileman, The University of Arizona; Melika Akbarsharifi, The University of Arizona; Kristina A Manasil, The University of Arizona; Ameer Slim, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

valuable guidance forfuture educational strategies and policies.keywords: curricular complexity, causal inference, student success, graduation rates, educationaldata mining1 IntroductionCurriculum complexity, an intrinsic characteristic of educational programs, has increasingly be-come a focal point of academic research due to its presumed impact on student performance. Thearchitecture of a curriculum – encompassing the breadth and depth of content, the sequencingof subjects, and the interplay of various pedagogical approaches – directly influences the learningenvironment. This influence is often reflected in key educational outcomes such as student engage-ment, comprehension, retention, and graduation rates. The complexity of a curriculum

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman Alsharif, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

are based on the number of sub-topics withineach main topic - the more sub-topics, the larger the square. Figure 3. Topics and Sub-topics For Question 2 (Main topic N=9) For Figure 3, students’ topics for Question 2 about the online learning experience arevisualized through sectors like interactivity and engagement, communication, instructor support,feedback, instructions and resources, flexibility, and teaching methods. These segments allow fora quick assessment of learner engagement, communication effectiveness, support availability,feedback quality, resource accessibility, flexibility options, and teaching methodologies.Representing these elements shows students recommendations to improve the online learningexperience

Conference Session

DSA Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duncan Davis, Northeastern University; Nicole Alexandra Batrouny, Northeastern Univeristy; Adetoun Yeaman, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

of students trying to use ChatGPT as a coding resource, but ultimately not using itas they encountered ineffective or overly advanced code. “Bad” code included everything from“slight inaccuracies,” to code that returned “incorrect values,” to code that “simply did not rundue to syntax errors.” Some students also described ChatGPT failing to work for MATLAB(though in fact, ChatGPT is able to generate effective MATLAB code).Overly advanced code, while solving the problem, was described by one student as “moreconvoluted/complex than is actually required.” Encountering overly advanced code wouldsometimes prompt students to engage in behaviors that we characterized as productive forlearning. For instance, one student wrote, “Sometimes it would

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

tonghui xu, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

the importantvariables to predict the students’ performance [12]. Random forest algorithm to analyze the HighSchool Longitudinal Study of 2009 data to identify the important variables which impact theengineering major choice [13]. The Boruta algorithm is a high-performance FS that employs a novel feature selectionalgorithm based on the random forest (RF) classification learning method. It is available as an Rpackage [14]. RF combines the predictions of multiple individual models to predict outcomes. Itis better than the outcomes computed by a single learning model. Typically, RF constructsmultiple decision tree models, and each tree runs a random subset of the features in the trainingdataset independently. In the final step, the RF

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Isil Anakok, Virginia Polytechnic Institute and State University; Kai Jun Chew, Embry-Riddle Aeronautical University, Daytona Beach; Holly M Matusovich, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

ondesigning assessments, and communication strategies with students. The study ultimatelyadvocated for the inclusion of GAI in the assessment landscape, calling for the development ofGAI assessment literacy among instructors [10]. A recent systematic literature review also foundthe need for new skills, interdisciplinary teaching methods, and policy implications, highlightingGAI's transformative impact on school education that aligned with their findings in theirliterature review [2]. Following up on the review, Chiu [1] conducted a study to exploreperceptions of AI from the teachers’ point of view and found that tools such as ChatGPT haveinfluenced schools, with the viewpoints of teachers being particularly significant, withconcerning elements such

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Smitesh Bakrania, Rowan University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

, 2024The Value and Instructor Perceptions of Learning Analytics for Small ClassesAfter the majority of education moved online during the COVID-19 pandemic, it becameincreasingly critical to gauge student learning and engagement without in-person interactions.Without the visual cues present in classrooms, instructors were blind to the nuances ofengagement afforded by face-to-face instructions. Instead, instructors relied on studentperformances on assessments as the proxy or the lagging indicator for engagement. Learninganalytics, on the other hand, provides an additional window into student engagement that isfrequently underutilized. Learning analytics uses the data generated as the students interact withthe learning management system (LMS) to

Conference Session

DSA Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amirreza Mehrabi, Purdue Engineering Education; Jason Morphew, Purdue University, West Lafayette

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

importance of examining concept of CF. CF among students is a multifaceted issueinfluenced by personal and environmental factors such as diminished motivation, effort,engagement [12], [13], [14], time constraints, diminished working memory capacity, and theability to filter out noise and distractions that can disrupt concentration and [9], [15], [16]. Giventhe evidence that CF can have detrimental effects on students' performance, there is a need for acomprehensive understanding of the magnitude of CF on assessment to ensure fair outcomes. Itisalso essential to consider the potential for differential impacts of CF on diverse students,particularly neurodiverse students such as those with attention deficit disorders. In addition to large-scale

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nicolas Leger, Florida International University; Maimuna Begum Kali, Florida International University; Stephanie Jill Lunn, Florida International University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

Paper ID #41210Data-Science Perceptions: A Textual Analysis of Reddit Posts from Non-ComputingEngineersMr. Nicolas Leger, Florida International University Nicolas L´eger is currently an engineering and computing education Ph.D. student in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University. He earned a B.S. in Chemical and Biomolecular Engineering from the University of Maryland at College Park in May 2021 and began his Ph.D. studies the following fall semester. His research interests center on numerical and computational methods in STEM education and in

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mehmet Ergezer, Wentworth Institute of Technology; Mark Mixer, Wentworth Institute of Technology; Weijie Pang, Wentworth Institute of Technology

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

WIT’scommitment to promoting equity in education and opportunities. The tangible impact of this event isevidenced by the participation and engagement shown in Figure 1.Figure 1. Students and faculty at the Girls STEM Summit, Summer 2023We extended similar activities to other recruitment events, such as the welcome days for the acceptedstudents day and the Wentworth preview days. Faculty volunteered at these events, often during theweekends, and their involvement allowed them to personally connect with prospective students,showcasing the joy of problem-solving through engaging activities and puzzles. This hands-on approachnot only made our events more vibrant and interactive but also served as a testament to the dedication ofour faculty in inspiring the

Conference Session

DSA Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ben D Radhakrishnan, National University; James Jay Jaurez, National University; Nelson Altamirano, National University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

)UN’s 2030 SDG report recognizes societal equity and the specific topics under Equity and howsolar energy generation and access to it supports the UN’s core principles that include fairnessand justice and addressing inequalities.Social and societal impact can be a part of the curriculum when teaching sustainability toengineering management students (Forbes et al., 2022). Social touchpoints span disparities,engagement, job equity, culture, education, and shaping policies. By focusing on environmental,societal, and governmental topic areas, students can broaden the scope of impact for projectsbeyond the immediate stakeholders, organizations, and the direct community. This broad viewprovides a long-term perspective across observable impacts and

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marjan Eggermont, University of Calgary

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

, educational psychology hasfound evidence that supports the “embodied cognition thesis, according to which cognition issupported by the body and the physical world [2].”One student shared the following: “I really enjoyed the data physicalization project, I definitely felt that seeing or being able to touch the data made it much more impactful. Some of the videos we watched, or your data sets with people represented by little [houses] really put numbers that we brush by as inconsequential in perspective. I definitely thought it was a cool project, and a good one for engineers, we work with so much data that's visualized through graphs but that doesn't mean we understand it all the time or comprehend the magnitude of

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Harpreet Auby, Tufts University; Namrata Shivagunde, University of Massachusetts, Lowell; Anna Rumshisky, University of Massachusetts, Lowell; Milo Koretsky, Tufts University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

improve student performance and help students develop conceptualunderstanding and problem-solving skills [4] - [14].In addition to asking conceptual questions, instructors can ask students to write short-answerresponses after asking conceptually challenging questions. Writing has been shown to improvecritical thinking and learning because it is a way to organize one’s thoughts and focus onunderstanding and communicating specific ideas [31]. Writing-to-learn (WTL) is one evidence-based learning strategy utilized in STEM classrooms where students write brief, low-stakesexplanations where they can practice using content knowledge in writing. WTL has been shownto support the development of conceptual understanding and metacognition [31] - [34

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Karl D. Schubert FIET, University of Arkansas; Shantel Romer, University of Arkansas; Stephen R. Addison, IEEE Educational Activities; Tina D Moore; Laura J Berry, North Arkansas College; Jennifer Marie Fowler, Arkansas State University; Lee Shoultz, University of Arkansas; Christine C Davis

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

was clear that major changes would be needed to adequately prepare students tocomplete a B.S. in data science after transfer. We developed an approach in which we analyzedprospective partners' offerings and provided feedback on how well their existing courses fit inthe statewide data science ecosystem we are developing.Thus today, recruiting schools to opt-in to the 2+2 program is a process that involves closecollaboration with potential partner institutions. To begin the engagement, the leads of theprogram reach out to deans who indicate that they are interested in participating, and then aGraduate Research Assistant meets with representatives from these schools. During suchsessions, discussions center around the courses already offered by

Conference Session

DSA Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aidan Kenny, Northeastern University; Andrew L Gillen, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

statements about theirengineering experience (e.g., “accepted by students in department”, “treated as equally skilledstudent”) [9]. Of these students, 141 identified as LGBTQ, about 8.16% of the surveyedpopulation. While the paper presented novel and impactful data, it did not include any graphs,charts, or other forms of visualization. This detracted from the potential impact that the dataitself has on the reader. Visualizations help the reader process the information so that they canunderstand the issue being investigated. This is vital when it comes to LGBTQ belonging inengineering programs because students need to feel safe and accepted to take full advantage oftheir education [10]. Ignoring this problem could have long term effects on the mental

Conference Session

DSA Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiang Zhao, Alabama A&M University; Mebougna L. Drabo, Alabama A&M University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

widely touted as beneficial to student learning [11]retention [12] and engagement. Also, learning outcomes are better when students are activeparticipants in the learning process [13-14], especially for underrepresented students [15].Teaching is an art of encouraging students to become active learners and awakening theirenthusiasm to explore and absorb new knowledge and skills. On the other hand, learning is adynamic process in which both the teacher and students should actively participate, exchangeviews, and ask/answer questions in an engaging atmosphere [16]. Student engagement has beenshown to be a key factor in student retention in the STEM fields [17]. It has been abundantlydemonstrated that pedagogical methods that promote conceptual

Conference Session

DSA Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Paula Francisca Larrondo, Queen's University; Brian M Frank P.Eng., Queen's University; Julian Ortiz, Queen's University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

by their complexityand the validity of multiple solutions, presents distinct challenges to generating targetedelaborated feedback. In addition, to maximize student engagement and learning from theexposure to this complex problem, novelty is introduced by changing the scenario and problemto be solved each term. The novelty introduced by crafting a new problem every term can reducepattern detection accuracy, thereby impacting the pertinence of the automated generatedfeedback.This contribution is part of a larger study on the impact of AI-generated feedback on open-endedstudent work. The study explored a fine-tuned LLM classification method for generating on-demand automated feedback on students’ written drafts before their final submission

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe, Baker University; Zahraa Marafie, Kuwait University; Patricia Henriquez-Coronel; Lior Shamir, Kansas State University; Ella Lucille Carlson, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

in 2019 with an implementation guide the following year. Work on CS teacher endorsement standards are also being developed. Dr. Weese has developed, organized and led activities for several outreach programs for K-12 impacting well more than 4,000 students. ©American Society for Engineering Education, 2024 Developing an Instrument for Assessing Self-Efficacy Confidence in Data Science Safia Malallah, Kansas State University, safia@ksu.edu Ejiro Osiobe, Baker University's, Jiji.osiobe@bakerU.edu Zahraa Marafie, Kuwait University, Zahraa.Marafie@ku.edu.kw Patricia Coronel, ULEAM, patricia.henriquez@uleam.edu.ec Lior Shamir, Kansas State