Unlocking Learning Potentials: The Transformative Effect of Generative AI in Education Across Grade Levels
Project Overview
The document explores the transformative role of generative AI (GAI) in education, emphasizing its significant impact on student learning across different grades. It highlights how GAI enhances students' interest in learning, fosters independent study, and improves problem-solving skills, leading to a more engaging educational experience. The findings indicate that students widely accept GAI, appreciating its benefits in their learning journeys. However, the study also identifies challenges such as diminished self-confidence among some learners and ethical concerns surrounding AI usage in education. To maximize the potential of GAI, the research calls for further investigation into effective integration methods within educational settings, aiming to address these challenges while leveraging GAI's advantages to enrich student learning outcomes.
Key Applications
GAI tools like ChatGPT and Kimi
Context: Educational settings among high school and university students
Implementation: Students utilized GAI for learning assistance through online platforms and interactive dialogues.
Outcomes: Improved learning interest, independent learning, and problem-solving skills.
Challenges: Inaccuracy in feedback, ethical concerns, and potential over-reliance on GAI.
Implementation Barriers
Ethical
Concerns regarding privacy breaches, intellectual property issues, and the potential for plagiarism.
Proposed Solutions: Development of regulations and guidelines for ethical use of GAI in educational contexts.
Technological
Inaccurate feedback, lack of user-friendly interfaces in GAI applications, and the need for continuous improvement.
Proposed Solutions: Continuous improvement and updates to GAI technology based on user feedback.
Project Team
Meijuan Xie
Researcher
Liling Luo
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Meijuan Xie, Liling Luo
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