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- Software Engineering Division (SWED) Technical Session #3
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- 2024 ASEE Annual Conference & Exposition
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Stephanos Matsumoto, Olin College of Engineering; Michelle E Jarvie-Eggart P.E., Michigan Technological University
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for wording survey questions inan accessible manner [40]. Our survey instrument consists of three parts, which we explain ingreater detail below.Terminology. Our survey begins with an assessment of participants’ understanding of softwareengineering terminology. This section of the survey begins with the following prompt: This section of the survey asks about how you understand terms from the field of software engineering. To ensure that your response reflects your understanding, please do not look up the meaning of these terms until you have completed the survey. Consider each of the following topics within the context of developing software. What words, phrases, or concepts come to mind?The survey then presents each
- Conference Session
- Software Engineering Division (SWED) Technical Session #2
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- 2024 ASEE Annual Conference & Exposition
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Ben Arie Tanay, Purdue Engineering Education; Lexy Chiwete Arinze, Purdue University, West Lafayette; Siddhant Sanjay Joshi, Purdue University, West Lafayette; Kirsten A. Davis, Purdue University, West Lafayette; James C Davis, Purdue University, West Lafayette
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consideration is that you clearly indicate which parts of your submission are your own work, and which parts are communicating someone else’s work. A failure to make this distinction is commonly called plagiarism. However, in the engineering workplace, what academics call ‘plagiarism’ is usually thought of as ‘benefitting from someone else’s expertise’. Engineering knowledge is communal expertise hard-won over many years. With this in mind, I am open – indeed desirous – to see you learn how to re-use concepts and code. But thoughtfully! In your assignments, you must justify your decisions. This includes re-use decisions, e.g. of designs, of components, or of tests.”LLM PedagogyTo support students in using LLMs, the course staff developed
- Conference Session
- Software Engineering Division Technical Session II
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- 2023 ASEE Annual Conference & Exposition
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Yu Tong (Rayni) Li, University of Toronto, Canada; Abby Cheung, University of Toronto, Canada; Yongjie Li; Carmen Hsieh; Hamid S. Timorabadi, P.E., University of Toronto, Canada
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Paper ID #37731Matilda: A Machine Learning Software Application to Virtually Assistwith Skincare for Visually Acute and Impaired—A Capstone Design ProjectMiss Yu Tong (Rayni) Li, University of Toronto, Canada We are a team of four computer engineering students, supervised by Professor Hamid Timorabadi, com- pleting an undergraduate capstone project. The team comprises of Abby Cheung, Carmen Hsieh, Jenny Li, and Rayni Li.Miss Abby Cheung, University of Toronto, Canada Undergrad student.Yongjie LiCarmen HsiehDr. Hamid S. Timorabadi, P.E., University of Toronto, Canada Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D
- Conference Session
- Software Engineering Division (SWED) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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Lisa Milkowki, Seattle University
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Paper ID #37351Work in Progress: Robotics Programming Made Inclusive, Motivating,Enabling via Alternative Forms of AssessmentLisa Milkowki, Seattle University Lisa Milkowski is an Assistant Teaching Professor in the Department of Computer Science at Seattle Uni- versity. She obtained her BS in Biomedical Engineering at Milwaukee School of Engineering (MSOE), and her MS and Ph.D. in Biomedical Engineering at Marquette University. She then held Assistant and Associate Professor positions at MSOE in the department of Electrical Engineering and Computer Sci- ence. She taught courses in a variety of areas including signal
- Conference Session
- Software Engineering Division (SWED) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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Lynn Roy Thackeray, Utah Valley University ; Susan L. Thackeray, Utah Valley University
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shared understanding of the project’s goals and objectives.This can be beneficial for teams as it helps them to work together more effectively and efficiently.MotivationsWith this deficit gap in mind, the authors have taken an interdepartmental cross-functional approachteach cross functional communication and collaboration to Software Engineering, with the focusbeing on communication with teams that are not within the software development collective, andimportantly are part of a distributed (not on site) organization. While cross- functional collaborationand communication between departments is not new to the teaching of software engineering. Theapproach outlined in this paper is unique in that the focus is on distributed team-based learning
- Conference Session
- Software Engineering Division Technical Session II
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- 2023 ASEE Annual Conference & Exposition
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Elise Deitrick, Codio; Joshua Ball, Codio; Megan McHugh, Codio
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. With the perspective of a career centered in private sector technology and cybersecurity, she greatly values the contributions made by EdTech organizations, like Codio, to help faculty deliver better learning outcomes in CS and STEM for students of every level. ©American Society for Engineering Education, 2023 Proposing a Response Hierarchy Model to Explain How CS Faculty Adopt Teaching Interventions in Higher EducationAbstractDespite the high volume of existing Computer Science Education research, the literatureindicates that these evidence-based practices are not making their way into classrooms. WhileK12 faces pressures from policy and increasing opportunities through
- Conference Session
- Software Engineering Division (SWED) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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Bruce R. Maxim, University of Michigan, Dearborn; Jeffrey Jonathan Yackley, University of Michigan, Flint
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Paper ID #37188Using Active Learning and Gamification to Teach Software Engineering inGame Design CoursesDr. Bruce R. Maxim, University of Michigan, Dearborn Bruce R. Maxim is Professor of CIS and the Nattu Natarajan Professor of Engineering. He has worked as a software engineer, project manager, professor, author, and consultant for more than forty years. His research interests include software engineering, human computer interaction, game design, and artificial intelligenceDr. Jeffrey Jonathan Yackley, University of Michigan, Flint Jeffrey J. Yackley is an assistant professor of software engineering in the College of