Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
Project Overview
The document examines the growing role of generative AI, particularly ChatGPT, in education, highlighting its versatility in generating coherent text and assisting with academic writing. It outlines several key applications, including enhancing productivity, supporting learning experiences, and improving decision-making processes in both educational and healthcare contexts. While the use of ChatGPT offers significant benefits, such as aiding in scientific writing and managing writing tasks, the document also addresses critical challenges, including issues of bias, misinformation, and ethical concerns surrounding academic integrity. The implications for teaching methodologies are discussed, emphasizing the need for careful consideration of plagiarism and the responsible use of AI technologies in educational settings. Overall, the findings underscore the dual nature of generative AI as a powerful tool for enhancing learning while necessitating a cautious approach to mitigate potential risks.
Key Applications
ChatGPT for academic and clinical content generation and assessment
Context: Utilized in higher education settings, including nursing and medical training, for drafting academic content, evaluating understanding, and assisting in clinical decision-making. It is applied in both academic writing and medical education to improve learning outcomes and understanding.
Implementation: Researchers and educators have tested and implemented ChatGPT as an AI-assisted tool for generating educational content, assessing knowledge, and providing feedback in academic and clinical contexts. The effectiveness of ChatGPT has been evaluated in terms of its accuracy in academic writing, medical scenarios, and overall engagement in learning.
Outcomes: Improved writing productivity, enhanced learning experiences, better comprehension of complex subjects, and support for clinical practices. Potential for improved learning outcomes in medical fields.
Challenges: Concerns about overreliance on AI, potential for academic dishonesty, risk of misinformation, and the need for human oversight to verify accuracy.
ChatGPT as a programming assistant
Context: Used in software development and programming education for coding tasks, debugging, and generating code, enhancing the learning process through interactive query responses.
Implementation: Developers and educators have integrated ChatGPT into programming education for debugging and code generation. Its effectiveness has been evaluated to assess improvements in productivity and efficiency in coding tasks.
Outcomes: Enhanced productivity in software development, improved debugging efficiency, and increased efficiency in coding tasks, leading to enhanced learning experiences.
Challenges: Limitations in understanding complex coding issues, dependence on AI could impair problem-solving skills and critical thinking.
ChatGPT for language education
Context: Employed in language teaching and learning to facilitate language practice, comprehension, and personalized learning experiences.
Implementation: Used to assist learners in practicing language skills through conversational interactions and comprehension exercises, enhancing the language acquisition process.
Outcomes: Improved language acquisition, personalized learning experiences, and enhanced engagement in language learning.
Challenges: Risk of over-reliance on AI for language interactions instead of human conversation practice.
Implementation Barriers
Ethical concerns
Issues related to plagiarism, misinformation, and the ethical use of AI-generated content in academic settings, including concerns about academic integrity, cheating, and the promotion of originality.
Proposed Solutions: Developing guidelines for ethical use, promoting acknowledgment of AI contributions, fostering critical evaluation of AI outputs, and implementing strict guidelines for AI use in academic settings.
Intrinsic limitations
Concerns about hallucinations, biased responses, and the generation of inaccurate information, leading to potential misinformation.
Proposed Solutions: Improving algorithms, refining training data, incorporating human feedback to enhance reliability, and encouraging critical evaluation of AI outputs.
Usage-related issues
Overreliance on AI may lead to diminished critical thinking and academic integrity.
Proposed Solutions: Encouraging users to verify AI-generated content and emphasizing the importance of human oversight in educational practices.
Cultural resistance
Resistance from educators and institutions to adopt AI technologies due to fear of change or lack of understanding.
Proposed Solutions: Providing training and resources to educate stakeholders on the benefits and best practices for using AI.
Project Team
Shahab Saquib Sohail
Researcher
Faiza Farhat
Researcher
Yassine Himeur
Researcher
Mohammad Nadeem
Researcher
Dag Øivind Madsen
Researcher
Yashbir Singh
Researcher
Shadi Atalla
Researcher
Wathiq Mansoor
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, Wathiq Mansoor
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