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

and faculty.The insights presented in this study offer valuable guidance for educators and industryprofessionals seeking to seamlessly embed data science into the chemical engineering curriculumand better prepare students for a data-centric industry.This paper provides a comprehensive overview of interview development, data distribution, andkey findings. It underscores the urgency of further research to enhance the integration of datascience in the CHE curriculum and the essential role of preparing students for an industry thatincreasingly relies on data analytics and computational techniques.IntroductionThe integration of data science in chemical engineering is a rapidly evolving field, with a focuson data management, statistical and machine

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

,understanding and use of nuclear data is extremely important. Nuclear data “impacts design,efficiency and operation of advanced reactors and security applications” [4]. Data analytics playsa crucial role in increasing safety, reliability, and economic viability [4][5].However, the current K-12 and higher education curricula are lacking in data analytics especiallyfor nuclear energy and security. Hence, there is an urgent need to explore innovative approachesin order to integrate data analytics skills into pipeline building to strengthen the future workforcein those areas.In this paper, a pilot study that includes the strategies and practice to integrate data analytics intosummer enrichment programs in nuclear energy and security hosted at Alabama A&

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emily Nutwell, The Ohio State University; Thomas Bihari, The Ohio State University; Thomas Metzger, The Ohio State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

onpractical skilldevelopment to supportadults considering careeradvancement throughdevelopment of dataanalytics skills. Theinterdisciplinarycurriculum is structured Fig. 2: Schematic of interdisciplinary data science professionalto integrate across data master’s degreeanalytics disciplineswhile being scoped to function effectively within the full program curriculum [14], [15]. Aschematic of the curriculum is shown in Fig. 2.The individual courses are structured in weekly modules that cover specific topics. Generally,each weekly module consists of: • An assigned reading (e.g., from an online textbook or provided directly in the Learning Management System - all materials are provided to the learners free of charge). • A recorded lecture

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

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Data Science & Analytics Constituent Committee (DSA)

Paper ID #44344Developing an Instrument for Assessing Self-Efficacy Confidence in Data ScienceDr. Safia Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic designer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Dr. Ejiro U Osiobe

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

curriculum.A key finding from our causal analysis indicates that an increase in program complexity by 20points is correlated with a decrease of 3. 74% in the likelihood of graduating within four years.Moreover, our counterfactual scenarios demonstrate that for students with specific demographicprofiles, such as males with a certain HSGPA not receiving Pell Grants, an increase in complexitycould inversely affect their graduation prospects. These nuanced discoveries underscore the impor-tance of curriculum design in alignment with student demographics and preparation, challengingeducators to balance academic rigor with the facilitation of student success. The breadth and scaleof our dataset significantly enrich the quality of our conclusions, providing

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; Husain Al Yusuf, The University of Arizona; Yiming Zhang, The University of Arizona; Asma Wasfi; Mohammad Hayajneh; Bisni Fahad Mon, United Arab Emirates University; Ameer Slim, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

, bisni.f@uaeu.ac.ae, 201180954@uaeu.ac.ae} † The University of Arizona ‡ The University of New Mexico • United Arab Emirates UniversityAbstractCurriculum structure and prerequisite complexity significantly influence student progression andgraduation rates. Thus, efforts to find suitable measures to reduce curriculum complexity have re-cently been employed to the utmost. Most of these efforts use the services of domain experts, suchas faculty and student affairs staff. However, it is tedious for a domain expert to study and analyzea full curriculum in an attempt to

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

includes application of AI for project management, sustainability and data center energy.Mr. James Jay Jaurez, National University Dr. Jaurez is a dedicated Academic Program Director and Associate Professor in Information Technology Management at National University where he has served since 2004. Dr. Jaurez is also a FIRST Robotics Head Coach since 2014 and leads outreach in robotiNelson Altamirano, National University ©American Society for Engineering Education, 2024Application of Data Analysis and Visualization Tools for US Renewable SolarEnergy Generation, its Sustainability Benefits, and Teaching In Engineering Curriculum Ben D Radhakrishnan, M.Tech., M.S

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

, positive student feedback, and success in preparing studentsfor internships.The paper is organized as follows. Section II breaks down the curriculum development on a term-by-termbasis; Section III provides some insight into our program and what it took to establish it; and Section IVpresents how to establish an inclusive educational atmosphere, fostering diversity, equity, and inclusion(DEI) awareness among the students and inclusive curriculum design. II. CurriculumThe development of the BSDS curriculum at Wentworth was a collaborative effort led by aninterdisciplinary committee comprising faculty members from Computing, Mathematics, Sciences, andHumanities. This inclusive approach, drawing from

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tony Maricic, New York University Tandon School of Engineering; Nisha Ramanna, New York University Tandon School of Engineering; Alison Reed, New York University Tandon School of Engineering; Rui Li, New York University; Jack Yang, New York University Tandon School of Engineering

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Data Science & Analytics Constituent Committee (DSA)

Engineering in 2009 from the Imperial College of London and his doctoral degree in 2020 from the University of Georgia, College of Engineering.Jack Yang, New York University Tandon School of Engineering ©American Society for Engineering Education, 2024 An Interactive Platform for Team-based Learning Using Machine Learning ApproachAbstractThis complete evidence-based paper explores the feasibility of developing an interactiveplatform with chatbot feature to facilitate project-based learning. Teamwork pedagogy is widelyused in engineering courses, particularly in first year (cornerstone) and senior-year (capstone)design courses, but also across the curriculum. Faculty have several

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

engineering design, collaboration in engineering, decision making in engineering teams, and elementary engineering education.Dr. Adetoun Yeaman, Northeastern University Adetoun Yeaman is an Assistant Teaching Professor in the First Year Engineering Program at Northeastern University. Her research interests include empathy, design education, ethics education and community engagement in engineering. She currently teaches Cornerstone of Engineering, a first-year two-semester course series that integrates computer programming, computer aided design, ethics and the engineering design process within a project based learning environment. She was previously an engineering education postdoctoral fellow at Wake Forest University

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duo Li, Shenyang Institute of Technology; Elizabeth Milonas, New York City College of Technology; Qiping Zhang, Long Island University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

program curriculum and data science competencies used in this study wereidentified in an earlier study [4], which examined 136 colleges and their undergraduate DataScience degree program curriculum. The competencies detailed in Table 1 are drawn from theData Science Task Force of the Association of Computing Machinery (ACM) report[4], whichidentified 11 core data science competencies shown in Table 1. Table 1: Data Science Competencies and Sub-topics by 2021 ACM Data Science Task Force ACM Data Science Task Force Report Competencies1. Analysis and Presentation 7. DataPrivacy, Security, Integrity, and Analysis for ● Foundational considerations

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)

we complete our study, we believe our findings will sketch the early stages of thisemerging paradigm shift in the assessment of undergraduate engineering education, offering anovel perspective on the discourse surrounding evaluation strategies in the field. These insightsare vital for stakeholders such as policymakers, educational leaders, and instructors, as they havesignificant ramifications for policy development, curriculum planning, and the broader dialogueon integrating GAI into educational evaluation.1. IntroductionThe advent of generative artificial intelligence (GAI) has heralded a new era in higher education,prompting extensive research and discussions, particularly concerning its impact on traditionalassessment practices. Recent

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Saquib Ahmed, The State University of New York Buffalo State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

curriculum, from invoking how to collect and analyze data through the eyes ofdata analytics all the way to the final goal of utilizing these robust scripts (akin but alternative totraditional machine learning) in deciphering various systems captured in an optical image. Thenon-destructive nature of this methodology in achieving this final goal is an added plus. 32. Materials and Methods2.1 Graphene Flake Sample Preparation & DepositionThe graphene samples employed in this study were produced through the mechanical exfoliationof graphite on a SiO2 substrate. A 300-nm thermal oxide Si/SiO2 wafer (NOVA ElectronicMaterials, LLC.) was cleaved into approximately 10 mm × 10 mm samples. These

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)

program, whichoffers virtual synchronous sections of the courses at home tuition prices.VisionThe vision for a state-wide ecosystem for data science was motivated by taking advantage of thelack of formal data science degree programs at the undergraduate level in the state (though theUCA had data science track in their computer science and mathematics degree programs). Thisblank slate provided an opportunity for the post-secondary institutions to collaborate to create ahigh-quality, consistent, data science curriculum throughout the state. We started with fourconsiderations: 1. We are a small enough state that we could all work together if we chose to. 2. We are a small enough state that we cannot afford to not work together. 3. We will

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

elements withinthe system, connected by lines that represent a variety of relationships. Given its usefulness inunderstanding intricate systems, it should be helpful in mapping the engineering educationprocess. A huge number of factors affect the education of new engineers. From elementaryschool to graduate school, students are exposed to STEM curriculum, experiential learning,career development, and other external factors that contribute to them becoming an engineer.Having a systemogram that compiles this information could be used by students, teachers,professors, and administrators to refine the system for everyone’s benefit. The systemogram ofthe engineering education system is shown below in Figure 6.Figure 6: Systemogram of student flow

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