Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shatha Jawad, National University; Ronald P. Uhlig, National University; Pradip Peter Dey; Mohammad N. Amin, National University; Bhaskar Sinha, National University

Tagged Divisions

Computers in Education Division (COED)

students learn better and fasterwhen paired with high-quality learning materials and instruction. But due to the array ofavailable specializations in industry categories, selecting the best fit for their interests is a bigchallenge for engineering students. This paper focuses on using AI to help students choose theirengineering program.Using ChatGPTChatGPT is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI'sGPT-3 family of large language models and is fine-tuned with both supervised andreinforcement learning techniques. We tried to use ChatGPT as a trained AI system to answerthis question, “How ChatGPT helps students to select their program.”ChatGPT answer was:“ChatGPT is a large language generation model developed by

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Norris, Virginia Tech; Hamidreza Taimoory, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University; Jacob R Grohs, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education Division (COED)

attention inthe business and public sphere with the release of models like ChatGPT [4] and DALL-E [5],robust applications within the field of engineering education remain are still emerging [6]. Aspart of the recent popularity of large language models (LLM) there have been increasingconcerns about the ethical ramifications in educational and industry settings. In their analysis ofthe practical ethical dangers of ChatGPT Zhuo et al. [7] outline areas of concern for LLMs as agroup; the risk inherent in small models propagating with increased scale, potential biases withinmodel training data, and the ballooning size of LLMs computational requirements. Theseconcerns limit the number of practitioners that are willing to adopt ML, NN, or LLM tools

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar

Tagged Divisions

Computers in Education Division (COED)

be better. Everyone is used to that now and this ChatBox technology seems a bit outdated (e.g. people are using Google and this is Yahoo). Incorporating AI into it might make it a lot better.”  “Ask follow-up questions after asking ChatGPT, and somewhat integrate the chatbot answers with the response acquired from ChatGPT (record it in database or something so that when the same or a similar question is asked again the bot is able to provide answers relevant to the course)” 9Overall, the preliminary finding based on the initial prototype of the chatbot was promising. Thechatbot made accessing information much easier for students and other users

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

lives. Thisis especially true now, since the world is in the midst of a number of controversies dealing withbiased data sets for training of neural networks, ChatGPT unfair uses, or the Elon Musk’s call fora moratorium on AI development. Results from this research will be used as preliminary findings while planning large-scale regionalresearch activities related to AI that could be supported by NSF, Amazon Machine LearningUniversity or the Department of Education. A collaborative network consisting of localschoolteachers interested in AI and AI-active university professors will be created to furtherpromote and implement AI in the K-12 curriculum. Partnership modalities with the AI4K12organization will be investigated to improve AI literacy