Generative AI in Self-Directed Learning: A Scoping Review
Project Overview
The document explores the integration of Generative Artificial Intelligence (GenAI) in Self-Directed Learning (SDL), emphasizing its potential to enhance educational experiences while acknowledging the evolving role of educators and the need for caution. It identifies four key themes: GenAI's ability to support SDL, the educator's role as a facilitator, the customization of learning experiences, and the importance of careful implementation due to inherent risks. The findings indicate that tools like ChatGPT can provide personalized assistance, thereby fostering SDL, but they also highlight significant gaps in understanding the long-term effects of GenAI in education. Concerns regarding the accuracy of information and the potential for overreliance on technology are underscored, signaling a need for balanced approaches that harness the benefits of GenAI while mitigating associated risks. Overall, the document presents a nuanced view of GenAI's role in education, advocating for thoughtful integration that prioritizes student autonomy and critical engagement.
Key Applications
ChatGPT as a tool for personalized support in Self-Directed Learning
Context: Higher education contexts, including adult learners, medical students, and language learners across various educational levels, focusing on enhancing critical thinking, motivation, engagement, and academic achievement.
Implementation: Integrating ChatGPT to assist in goal setting, resource identification, learning plan construction, and providing real-time feedback tailored to the specific needs of learners in medical and language education.
Outcomes: Positive impacts on learner motivation, engagement, SDL competencies, critical thinking skills, and reduced anxiety in language learning contexts, leading to improved academic achievement.
Challenges: Concerns about the accuracy of outputs, overreliance on AI tools, potential misalignment with pedagogical aims, lack of technological proficiency, and the need for critical AI literacy among learners.
Implementation Barriers
Technological Barrier
Concerns regarding the accuracy and reliability of GenAI outputs, including the possibility of generating incorrect or irrelevant information.
Proposed Solutions: Implementing frameworks for limited use of GenAI and ensuring that human input is included in feedback processes.
Ethical Barrier
Issues related to academic integrity, equity, and the cultural biases inherent in GenAI tools.
Proposed Solutions: Developing guidelines for ethical use and fostering critical AI literacy among educators and students.
User Competence Barrier
Students and educators may lack the necessary skills to effectively use GenAI tools, leading to ineffective implementation.
Proposed Solutions: Providing professional development and training for instructors on how to integrate GenAI into their teaching practices.
Project Team
Jasper Roe
Researcher
Mike Perkins
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Jasper Roe, Mike Perkins
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