Fairfield, Connecticut
April 19, 2024
April 19, 2024
April 20, 2024
11
10.18260/1-2--45758
https://peer.asee.org/45758
120
Lina Kloub is an Assistant Professor in Residence in the Department of Computer Science and Engineering at the University of Connecticut. She earned her Ph.D. from the University of Connecticut in 2021 and has since dedicated herself to teaching undergraduate courses. Lina's dual interests in Bioinformatics and education guide her academic journey.
As an educator, Lina's primary goal is to create an inclusive and motivating learning environment. She works closely with students of diverse backgrounds and learning styles, ensuring that everyone feels valued and heard in her courses. Her commitment to excellence is evident through her active participation in teaching workshops at the Center for Excellence in Teaching and Learning (CETL) at UConn.
Lina's work in academia reflects her dedication to enhancing education and fostering a sense of belonging among students. Her contributions in both teaching and research continue to make a lasting impact in her field.
The rapid evolution of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the emergence of innovative tools like ChatGPT. With a specific focus on computer science students, this research investigates the utilization of ChatGPT in higher education, analyzing its perceived advantages and challenges and delving into its influence on enhancing students' comprehension and problem-solving skills. Our study posits three primary hypotheses. Firstly, we propose that ChatGPT can effectively serve as a supplementary learning tool, aiding computer science students in understanding complex concepts and refining their problem-solving skills. Secondly, we hypothesize that the integration of ChatGPT in computer science education may positively influence student engagement, motivation, and overall interest in the subject matter. Thirdly, we acknowledge potential challenges related to issues of trust, reliability, and ethical considerations and aim to identify them in the educational context. The objectives of this study are twofold: to examine the current landscape of ChatGPT's usage in computer science education, including its frequency, purposes, and specific subject areas addressed, and to explore the perceived benefits and challenges associated with its integration among computer science students. We seek to understand whether this incorporation enhances comprehension, problem-solving capabilities, and overall student engagement in the field of computer science. To achieve these goals, data has been collected through student surveys. Our research is being conducted within the Computer Science department of a large public university in the northeast United States, ensuring a comprehensive analysis with a particular emphasis on the experiences of computer science students. In conclusion, this research strives to illuminate the role of ChatGPT in computer science education, specifically focusing on its advantages and challenges. By providing insights into the effective implementation of AI-powered learning tools within the computer science domain, we aim to enrich the educational experience for computer science students.
Keywords: Artificial Intelligence, Natural Language Processing, ethical implications, educational enhancement, ChatGPT, computer science education.
Kloub, L., & Gupta, A. (2024, April), ChatGPT in Computer Science Education: Exploring Benefits, Challenges, and Ethical Considerations Paper presented at 2024 ASEE North East Section, Fairfield, Connecticut. 10.18260/1-2--45758
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