Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

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Diversity

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Computers in Education Division (COED)

Comparative Analysis of Large Language Models and NLP Algorithms to enhance Student Reflection SummariesAbstractThe advent of state-of-the-art large language models has led to remarkable progress incondensing enormous amounts of information into concise and coherent summaries, benefitingfields like education, health, and public policy, etc. This study contributes to the current effort byinvestigating two NLP approaches’ effectiveness in summarizing students’ reflection text. Thisapproach includes Natural Language Processing (NLP) algorithms customized for summarizingstudents’ reflections and ChatGPT, a state-of-the-art large language model. To conduct the study,we used the CourseMIRROR application to collect students’ reflections from

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

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Diversity

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Computers in Education Division (COED)

Boundaries of Engineering Education.AbstractGenerative artificial intelligence (GAI) has long been used across various fields; however, itsusage in engineering education has been limited. Some areas where GAI tools have beenimplemented in education include intelligent tutoring, assessment, predicting, curriculum design,and personalized student learning. The recent proliferation of CHATGPT and other GAI toolspresents limitless possibilities for transforming engineering pedagogy and assessment. At thesame time, there are challenges associated with implementation. Consequently, there is a need toconduct an empirical study to evaluate these tools' strengths, limitations, and challenges tohighlight potential opportunities for their application in

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver

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Diversity

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Computers in Education Division (COED)

were recorded and uploaded on CLAS, they couldsee the difference between their original and improved lessons. It was an empowering learningexperience that gave the preservice teachers the much-needed confidence that they can figurethings out and if a lesson doesn’t go as well as they wanted the first time around, they alwayshave a second chance.Exploration of Novel Pedagogical ApproachesLearning to remove yourself from your own lessons and to reflect on them in order to teachbetter in the future is a core quality of a STEM educator in the 21st century. To be successful inthe era of fast-changing student population, rapidly evolving technologies, that haveunprecedented pedagogical potential, such as ChatGPT [42, 43], continuously

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja

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Diversity

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Computers in Education Division (COED)

eNotebook to include a tutoring AI feature that students could talk to along with their favoritestudy methods. eNotebook provides a general platform for nearly all of today’s study methods andmaterials students use to create and customize for efficient access and assessment. For example,we have implemented a two-way talking conversation feature called Jarvis, which is an audio-to-text / text-to-audio feature with a ChatGPT engine with AI-specific aids to improve the quality ofAI responses. We have embedded weblinks to over 50 of the most popular study apps easilyaccessible through a pull-down menu, where favorites appear at the top of the list. We haveimplemented a feature that converts handwritten notes into typed text. Images, audio, videos

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

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Diversity

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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