Displaying all 7 results
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 4
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Jason M. Keith, Iowa State University of Science and Technology; Amin Amirlatifi, Mississippi State University; Sudip Mittal, Mississippi State University; Subash Neupane, Mississippi State University; HIMANSHU TRIPATHI, Mississippi State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
Education, 2025 Barkplug 2.0 and Beyond: a Chatbot for Assisting Students in High DFW CoursesAbstractHigher education continues to respond to the challenges and opportunities presented by artificialintelligence (AI) and large language models (LLM) such as ChatGPT. In our prior work weintroduced a chatbot that used AI and LLM to recruit prospective students, assist current studentswith academic advising (course selection, changing majors) and student affairs (directingstudents to university resources regarding the campus community, housing and dining, studentorganizations, mental health and more). Towards the promotion of student success initiatives wereport in this work our formulation of course specific teaching
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 7
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Ismael Villegas Molina, University of California, San Diego; Audria Nikitza Montalvo, University of California, San Diego; Benjamin Ochoa, University of California, San Diego; Paul Denny, University of Auckland; Leonard Porter, University of California, San Diego
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
Corrected Question P-Value Mean Mean P-Value I use CodeHelp because the professor told us we could use it in the class. 3.80 3.72 0.6615 1.0000 I prefer CodeHelp to ChatGPT because it does not give me the answer directly. 3.56 3.79 0.2056 0.9937 I believe that CodeHelp gives me just enough information to continue my work without
- 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)
parameters.Appendix 4 details the performance of the Gemini, ChatGPT, and Perplexity AI tools in thesetasks, providing practical examples of their capabilities. Through a mixed-methodology approachthat includes a literature review, case studies, and practical experimentation, this researchexplores how AI can optimize these areas and develops a theoretical and practical frameworkthat guides its effective and ethical implementation.Research ObjectivesThe primary purpose of this study is to explore and assess the impact of Artificial Intelligence(AI) on the management and operation of Information Systems (IS) within educational andbusiness environments. Specifically, the research aims to:1. Evaluate how AI can improve operational efficiency in information
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Minje Bang, Texas A&M University; Saira Anwar, Texas A&M University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
examples forclarity and engagement in conceptually hard courses such as programming. Also, similar to priorliterature [33], this study highlights that student satisfaction is coupled with clarity andengagement with the material. AI-based Large Language Models such as ChatGPT can enhancestudents’ engagement with pre-class materials by providing interactive explanations,personalized feedback, and intelligent tutoring support tailored to individual learning needs [35].The study's results must be viewed in the light of some limitations and future directions. First,the study was based on self-reported student perceptions of two types of videos. Future studiescould consider other measures, such as time spent on each video and a performance measureafter
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 6
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
]. Anotherstudy indicates that ChatGPT-4 outperforms ChatGPT-3.5 and BARD by Google Inc. in several reasoning tasks,particularly in abductive reasoning, mathematical reasoning, and commonsense reasoning [46]. Therefore, in thisstudy, we chose GPT-4 as our preferred LLM model.Educational Implications in Engineering Easy access to psychological monitoring and measurement is imperative in engineering education due to theunique stressors associated with this field. Studies have shown that the engineering culture, often perceived asmasculine, competitive, and exclusionary, can lead to significant stress and mental health challenges for students,particularly for women and students of color [47]. This environment is characterized by a belief in enduring
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 10
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Nikunja Swain, South Carolina State University; Biswajit Biswal, South Carolina State University; Janmejay Mohanty, South Carolina State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
prompts in LLMs (ChatGPT, Bard and Hugging Face)These modules include lecture notes, practice problems, and quizzes. The learners can completethese modules at their own pace. The course instructor acts as the facilitator and provides help asneeded.The modules can be accessed at https://skills.yourlearning.ibm.com/. Students need to createaccounts to log in and sign up a module to see the module content. The login screen is shown inFigure 2: Figure 2 – Log in options Analysis of Course Survey Results Student Surveys A. Cybersecurity (Fall 2024, Sample Size N = 88)The Cybersecurity module was infused to six sections of CS 150 course during
- 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)
revolution workforce needs,” in 2023 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2023, pp. 271–276.[27] J. White, Q. Fu, S. Hays, M. Sandborn, C. Olea, H. Gilbert, A. Elnashar, J. Spencer-Smith, and D. C. Schmidt, “A prompt pattern catalog to enhance prompt engineering with chatgpt,” arXiv preprint arXiv:2302.11382, 2023.[28] P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. K¨uttler, M. Lewis, W.-t. Yih, T. Rockt¨aschel et al., “Retrieval-augmented generation for knowledge-intensive nlp tasks,” Advances in Neural Information Processing Systems, vol. 33, pp. 9459–9474, 2020.[29] L. Shani, A. Rosenberg, A. Cassel, O. Lang, D. Calandriello, A. Zipori, H. Noga, O. Keller, B. Piot, I. Szpektor et