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Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course

Conference Session: Computing and Information Technology Division (CIT) Technical Session 5
Collection: 2025 ASEE Annual Conference & Exposition
Authors: James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University
Tagged Divisions: Computing and Information Technology Division (CIT)

Paper ID #46252Educating a Responsible AI Workforce: Piloting a Curricular Module on AIPolicy in a Graduate Machine Learning CourseMr. James Weichert, Virginia Polytechnic Institute and State University James Weichert is a recent M.S. graduate from the Virginia Tech Computer Science Department, where he studied AI ethics, policy and education. Starting fall 2025, James will be joining the faculty at the University of Washington Paul G. Allen School of Computer Science & Engineering as an Assistant Teaching Professor.Hoda Eldardiry, Virginia Polytechnic Institute and State University Eldardiry is an Associate Professor of

Relevance Score: 0.08565735

A Framework for Understanding the Role of Generative AI in Engineering Education: A Literature Review

Conference Session: Computing and Information Technology Division (CIT) Technical Session 2
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Prarthona Paul, University of Toronto; Chirag Variawa, University of Toronto
Tagged Divisions: Computing and Information Technology Division (CIT)

engineering education [2], [3]. Despite thewidespread use of GenAI tools, they are still relatively new in engineering education. Thisintroduces uncertainties, including issues regarding ethics, accessibility, and algorithmic bias [2],[4]. There are also concerns around the lag between the rapidly growing uses of GenAI tools andthe current policies regarding their uses in engineering education [5], [6].In addition to ChatGPT, there have been other GenAI and large language model (LLMs) basedtools, with widespread uses for students, educators, and researchers in engineering education [2],[3]. This has created opportunities for innovation within engineering education along withchallenges of using them in learning environments [3]. Due to the recent

Relevance Score: 0.03817481

Academic Performance and Satisfaction with AI-supported Problem-solving Activities in a Course on Management Information Systems in an Industrial Engineering Program.

Conference Session: Computing and Information Technology Division (CIT) Technical Session 3
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Roberto Patricio Carú, Universidad Andres Bello; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile
Tagged Topics: Diversity
Tagged Divisions: Computing and Information Technology Division (CIT)

between the groups and anotable preference for a more structured and practical educational approach, especially amongstudents with a more robust foundational knowledge. This highlights the relevance of personalizedand applied teaching methods in real-world contexts.This approach examines how AI tools can be effectively integrated into an educationalenvironment, preparing students to face future technological challenges with an innovativeperspective on information systems management.Keywords: Artificial Intelligence (AI), Information Systems (IS), Alternative Evaluation,Automatic Code Generation, Operational Efficiency, Decision Making, Automation, AI Ethics,Information Management, AI Tools.IntroductionIn the digital era, Artificial Intelligence

Relevance Score: 0.031652883

Integrating AI into Higher Education: Enhancing Graduate and Undergraduate Programs for the Future Workforce.

Conference Session: Computing and Information Technology Division (CIT) Technical Session 1
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Mudasser Fraz Wyne, National University; Alireza Farahani, National University; Lu Zhang, National University
Tagged Divisions: Computing and Information Technology Division (CIT)

, Computer Science Education, Machine Learning, PersonalizedLearning, Ethical AI, Research, Graduate Programs, Undergraduate Programs.INTRODUCTIONThe technological innovations of the 21st century have fundamentally transformed how the worldoperates [1], creating entirely new areas of expertise and workforce demands [2,3,4,5]. Theinterdisciplinary interest from scholars in linguistics, psychology, education, and neuroscience aswell as other disciplines, who examine AI through the lens of their respective fields, such as itsnomenclature, perceptions, and knowledge poses challenges in defining AI [6]. This hasnecessitated the development of AI categories within specific disciplinary contexts.There is a pressing need for widespread education across all

Relevance Score: 0.026377402

Developing an introductory machine learning course

Conference Session: Computing and Information Technology Division (CIT) Technical Session 5
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Caroline Crockett, University of Virginia
Tagged Divisions: Computing and Information Technology Division (CIT)

covers linear regression, neural networks, sparsity, and dictionary learning. The goal of this part is for students to see a vari- ety of ML methods that they can understand most of, but they do not code these applications from scratch. Instead, students use Python libraries. 3. Part 3 (3 weeks) What other cool ML things are out there? This part briefly introduces advanced ML algorithms and the ethics of ML.The following subsections describe the learning activities in each course part and Fig. 1 summa-rizes the schedule for the Fall 2024 semester. Key activities are highlighted in blue text in both thefollowing text and in Fig. 1.3.1 Part 1Given the desire to present ML algorithms from first principles and the lack of

Relevance Score: 0.025449874

Improving Engineering Students’ Writing Skills Through a Text Visualization Tool

Conference Session: Computing and Information Technology Division (CIT) Technical Session 10
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Donggil Song, Texas A&M University; ANNE LIPPERT, Prairie View A&M University
Tagged Divisions: Computing and Information Technology Division (CIT)

usefulness of thetool, specifically noting that they did not have the opportunity to simply copy and paste what anAI tool suggests. Instead, they had a chance to rethink and revise their writing through the KVIStool. In addition, the visualized graph appears to help students capture the overall focus of theirwriting, rather than losing sight of their main idea by concentrating too narrowly on a specificaspect.As AI technologies grow more advanced, concerns about over-reliance, ethical use, and misusehave become increasingly significant. Addressing issues such as authenticity, feedback quality,bias, and digital literacy is critical to harnessing the potential of generative AI in engineeringeducation and ensuring equitable learning opportunities. The

Relevance Score: 0.022494722

Integration of Chatbot with your course

Conference Session: Computing and Information Technology Division (CIT) Technical Session 1
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Alireza Kavianpour, DeVry University, Ontario,CA
Tagged Divisions: Computing and Information Technology Division (CIT)

projects, by providing alternate viewpoints and that will increaseteam’s performance.5- As a new freshman Student, by asking many primitive questions from the instructor. As theresult instructor will be more prepared for the harder questions from other students.6- As a Simulator in which students can practice their project presentations.7- As a Flashcard for practicing and preparing for exam.8- For collecting Feedback regarding lectures or course.9- As a Student Advisor, by providing teaching plan, submitting course incomplete applicationform, registration, course progress, pre-requisite requirement, etc.Creating these nine options requires several best practices to ensure that they are effective,ethical, and user friendly. You can also use

Relevance Score: 0.022494722

Engaging and Effective Assessments in the Age of Generative AI: Student Perceptions and Recommendations

Conference Session: Computing and Information Technology Division (CIT) Technical Session 8
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Danushka Bandara, Fairfield University; Djedjiga Belfadel, Fairfield University
Tagged Divisions: Computing and Information Technology Division (CIT)

answers without fostering deeper understanding, which may hinder long-term learning. Whilemany students feel confident in their ability to use AI tools ethically, some express concerns about over-reliance on AI for completing assignments, which could compromise academic integrity. Opinions onhow well AI use is managed in assessments are mixed. Some students believe that redesignedassessments—such as scaffolded projects or oral defenses—effectively minimize the risk of AI misuseby requiring critical thinking and authentic engagement. Others, however, suggest that furtherimprovements are needed to ensure assessments remain resistant to AI-driven shortcuts. These insightshighlight the dual role of AI as both a helpful resource and a potential

Relevance Score: 0.017995778

Personalized Education with Generative AI and Digital Twins: VR, RAG and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development

Conference Session: Computing and Information Technology Division (CIT) Technical Session 7
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona
Tagged Topics: Diversity
Tagged Divisions: Computing and Information Technology Division (CIT)

. Shih, B. D. Chambers, and M. James, “On the challenges of transferring teaching practices in engineering ethics and an asset-based approach to developing ethics instruction,” in 2024 ASEE Annual Conference & Exposition, 2024.[10] I. S. Osunbunmi, S. Cutler, V. Dansu, Y. Brijmohan, B. R. Bamidele, A. N. Udosen, L. C. Arinze, A. V. Oje, D. Moyaki, M. J. Hicks et al., “Board 45: Generative artificial intelligence (gai)-assisted learning: Pushing the boundaries of engineering education.” in 2024 ASEE Annual Conference & Exposition, 2024.[11] K. Lee, “Augmented reality in education and training,” TechTrends, vol. 56, pp. 13–21, 2012.[12] K. Petal, Y.-Z. Lin, and P. Satam, “Edutalk sentiment dataset,” https://gitlab.com

Relevance Score: 0.013496834

Instilling Cybersecurity Professional Skills in Undergraduate Computing Students

Conference Session: Computing and Information Technology Division (CIT) Technical Session 10
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Rajendran Swamidurai, Alabama State University; Uma Kannan, Alabama State University
Tagged Divisions: Computing and Information Technology Division (CIT)

a security measure, 6) the implementation of security defenses, which includessecurity policy, vulnerability assessment, intrusion detection, virus protection, auditing,accounting, and logging, 7) methods to harden an operating system (either Windows or Linux),8) firewalling, and 9) practical experiments that make use of operating system tools for securitypurposes.Information Security: This course emphasizes the integration of information technology aspectspertinent to network and application layer security, while providing students the opportunity toobtain Security+ certification and/or Certified Ethical Hacker (CEH) certification. This revisedcourse encompasses topics included in the Security+ and CEH examinations. Included arenetwork

Relevance Score: 0.012724937

Bridging the Gap: Exploring Concurrent Enrollment in External Online Courses Among Computer Science Students

Conference Session: Computing and Information Technology Division (CIT) Technical Session 4
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Tyler Clark, SageFox Consulting Group ; Rebecca Zarch, SageFox Consulting Group; Mikaela Hurd
Tagged Divisions: Computing and Information Technology Division (CIT)

following the six-phase processoutlined by Braun and Clarke [6]. This involved familiarization with the data, generating initialcodes, searching for themes, reviewing themes, defining and naming themes, and producing thefinal report. The analysis focused on identifying recurring patterns in students’ experiences,particularly regarding their use of external online courses and their perceptions of institutionalsupport. To ensure reliability and validity, multiple researchers independently coded the databefore reaching a consensus on the identified themes. This triangulation of data helped minimizebias and ensured the findings accurately represented participants' experiences [7].Ethical ConsiderationsEthical approval for this study was obtained prior

Relevance Score: 0.012724937

Interactivity Unleashed: Integrating Embedded Questions in Videos to Increase Student Interaction with Content in Asynchronous Engineering Courses

Conference Session: Computing and Information Technology Division (CIT) Technical Session 7
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Christine Allain Roach, Texas A&M University
Tagged Divisions: Computing and Information Technology Division (CIT)

, minimum and maximum scores, and time spenton quizzes.This study does not include direct measures of learning outcomes, such as final grades orassessments beyond the embedded video quizzes. It focuses on student interaction patterns, and giventhe course-specific context and small sample size, the findings should be interpreted as exploratory.Our university's Institutional Review Board (IRB) approved the research protocol for this study,ensuring that all data collection, analysis, and reporting processes met ethical and legal standards,with a strong emphasis on protecting student privacy. Identifiable data were anonymized by replacingpersonal identifiers with unique numerical identifiers.Course Context and Design RationaleBackgroundThis paper

Relevance Score: 0.01113432

Extra Credit, Extra Security: Lessons Learned from a Bonus-Based IoT Security Class

Conference Session: Computing and Information Technology Division (CIT) Technical Session 6
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Derin Cayir, Florida International University; Mark Allen Weiss, Florida International University; Selcuk Uluagac, Florida International University
Tagged Topics: Diversity
Tagged Divisions: Computing and Information Technology Division (CIT)

can executean attack on a device and then protect the device from that attack would be something a lot ofstudents who want to advance in security will find enjoyable.” We considered these valuablesuggestions from the students and are planning to address some of the suggestions in the futureteaching of the IoT Security class. Regarding the recommendation to include offensive securitytechniques, we intend to consult with the university’s general counsel to ensure compliance withinstitutional guidelines and ethical standards.Educational Content and Learning Opportunities The course’s structured learning materialsand assignments were deemed extremely helpful. The students praised the clarity and relevanceof the shared slides and the variety of

Relevance Score: 0.009543703

The Shift Towards Inclusion and Accessibility: The Impact of Inclusive Design on UX Career Preparation

Collection: 2025 ASEE Annual Conference & Exposition
Authors: Taylor Mone Smith, University of Texas at Austin; Earl W. Huff Jr., University of Texas at Austin; Hansika Murugu, University of Maryland, College Park
Tagged Topics: Diversity
Tagged Divisions: Computing and Information Technology Division (CIT)

thatask for a specialty in one area or the other (i.e., UI designer, UX researcher), studentsdemonstrating the ability to do both will make them more marketable and competitive in the job,especially if they are able to do so in an accessibility-first approach. Students were pleased withlearning how to conduct ethical and responsible research while also acquiring skills to translateresearch findings to design solutions. Similar to our findings through the data we collected,Letaw et al. (2022) assert that embedded inclusive design throughout a multi-year studyimproves student retention of inclusive practices and normalizes accessibility within the designprocess. The authors argue that this integration is especially effective when educators