Student Perspectives on the Benefits and Risks of AI in Education
Project Overview
The document explores the growing integration of generative AI, particularly AI chatbots, in educational environments, emphasizing their dual potential to enhance and complicate learning experiences. Key applications highlighted include personalized instruction, immediate feedback, and improved access to information, which collectively can increase learning efficiency. However, the document also addresses significant concerns from students regarding academic integrity, the accuracy of information provided by AI, potential degradation of critical skills, and broader ethical implications. These insights underscore the necessity for developing clear guidelines and a structured curriculum to govern the responsible use of AI in education, ensuring that its benefits can be maximized while mitigating associated risks.
Key Applications
AI chatbots for student engagement and support
Context: Higher education settings, including undergraduate courses in computer science and engineering, where chatbots are integrated into classroom environments to assist students with learning, provide tutoring, and enhance engagement.
Implementation: Integration of AI chatbots (e.g., ChatGPT, Jill Watson, Anne G. Neering) in classroom settings to facilitate immediate feedback, personalized study support, and tutoring for students. This includes a survey of undergraduate students to assess their perspectives on the use of chatbots.
Outcomes: Students reported benefits such as enhanced engagement, motivation, immediate feedback, and personalized support for learning concepts. However, there are concerns about academic integrity, misinformation, and potential overreliance on AI tools.
Challenges: Challenges include ensuring the accuracy of information provided by chatbots, addressing risks to academic integrity, and preventing a loss of critical thinking skills among students.
Implementation Barriers
Ethical
Concerns about academic integrity, including plagiarism and misuse of AI for assignments.
Proposed Solutions: Establish clear policies regarding acceptable AI use and develop curriculum around AI literacy.
Technical
Limitations in current AI understanding of nuanced individual learning needs.
Proposed Solutions: Improve AI training and algorithms to better cater to diverse educational contexts.
Social
Concerns about diminished human interaction and the quality of learning experiences.
Proposed Solutions: Encourage balanced integration of AI tools while maintaining human elements in education.
Project Team
Griffin Pitts
Researcher
Viktoria Marcus
Researcher
Sanaz Motamedi
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Griffin Pitts, Viktoria Marcus, Sanaz Motamedi
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai