2025 ASEE Annual Conference & Exposition

Perception of the Impact of Generative Artificial Intelligence on Education

This work-in-progress paper explores the perceptions of students and educators regarding the impact of Artificial Intelligence (AI) on education, specifically before and after the release of OpenAI’s ChatGPT. Using a mixed-methods survey distributed through online platforms, the study examines participants’ adoption patterns, perceived usefulness and ease of use, and ethical concerns. Quantitative data were analyzed using constructs from the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory, while qualitative responses were thematically coded and interpreted through the lens of the Constructivist Learning Theory. Results show that while participants largely view AI tools as useful, accessible, and aligned with modern learning needs, significant concerns remain regarding over-reliance, critical thinking erosion, and academic integrity. The findings reveal the need for structured AI literacy, responsible integration policies, and the design of AI systems that prioritize transparency, personalization, and ethical safeguards. This study contributes evidence-based insights to guide educators, developers, and policymakers in ensuring the ethical and effective adoption of AI in education.

Keywords: Generative AI, ChatGPT, perception, TAM, adoption, education, ethics

Authors

Mrs. Hannah Oluwatosin Abedoh http://orcid.org/https://0009-0004-9179-878X Morgan State University [biography]

Hannah Abedoh is a highly motivated doctoral student in Business Management, specializing in Information Science and Systems. She is actively engaged in advanced research, focusing on the impact of Generative Artificial Intelligence on learning.
Blessing Isoyiza ADEIKA http://orcid.org/https://0009-0007-5600-8051 Morgan State University [biography]

Blessing Isoyiza ADEIKA is a Ph.D. student in Computer and Electrical Engineering at Morgan State University, with a strong focus on neuroscience and artificial intelligence. She has completed her Master’s degree in Advanced Computing, where she honed her skills in Research Methodologies, Data science, and Machine Learning.
Although Blessing’s research aims to bridge the gap between neuroscience and AI, she is also dedicated to integrating experiment-centric teaching methods to simplify complex concepts for students, fostering practical learning and innovation. She is driven by a commitment to impactful problem-solving, addressing challenges in the medical, education, and technology sectors.
Mr. Pelumi Olaitan Abiodun http://orcid.org/0000-0002-4969-9591 Morgan State University [biography]

Pelumi Abiodun is a current doctoral student and research assistant at the department of Civil Engineering, Morgan State University, Baltimore, Maryland. Pelumi got his BSc and MSc degree in Physics from Obafemi Awolowo University, where he also served as a research assistant at the Environmental Pollution Research unit, in Ile-Ife, Nigeria. As part of his contribution to science and engineering, Pelumi has taught as a teaching assistant both at Morgan State University and Obafemi Awolowo University. With passion to communicate research findings and gleaned from experts in the field as he advances his career, Olaitan has attended several in-persons and virtual conferences and workshop, and at some of them, made presentation on findings on air pollution, waste water reuse, and heavy metal contamination.
Dr. Oludare Adegbola Owolabi P.E. Morgan State University [biography]

Dr. Oludare Owolabi, a professional engineer in Maryland, joined the Morgan State University faculty
in 2010. He is the director of the sustainable infrastructure development, smart innovation and resilient
engineering lab and the director of undergraduate programs in the department of civil engineering at Morgan
State University.
Abiola Olayinka Ajala http://orcid.org/0009-0001-8848-1843 Morgan State University [biography]

Abiola Olayinka Ajala is an AI researcher for the National Airspace System (NAS) at Morgan State University, pursuing a Ph.D. in Electrical and Computer Systems Engineering with a focus on Data Science, Machine Learning, and AI. Currently working on a research on climate resilience and aviation security using AI-driven solutions. With a Master’s in Advanced Computing and a Bachelor’s in Computer Science, Abiola has expertise in data science, cybersecurity, networking, business analysis, and system administration. A member of ASEE,IEEE who is passionate about STEM education to introduce K1-12 students to computing/ engineering skills and digital literacy.
OLUWATOYOSI OYEWANDE Morgan State University

Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025