A Rapid Review of the Literature.
This research review considers the evolution of artificial intelligence, specifically focusing on ChatGPT. It opens by spotlighting the broad applications of AI in diverse sectors like health care and education, underlining its capacity to replicate human cognitive functions and execute routine tasks using vast datasets. The narrative shifts to ChatGPT, emphasizing its natural language processing capabilities that have garnered global attention. The author also consider growing apprehensions within the education sector, particularly concerning ChatGPT’s potential to facilitate academic dishonesty.
The author approaches the research review with three main research questions in mind:
- How does ChatGPT perform across different subject domains?
- How can ChatGPT be effectively integrated to enhance teaching and learning?
- What potential issues are associated with ChatGPT, and how can they be addressed?
The methodology section outlines search strategies, databases, inclusion/exclusion criteria and data analytic techniques.
What answers did the author find to their questions? Read more about what the authors recommend and conclude.
Question 1 findings: The author found that ChatGPT’s performance has varied across subject domains. While excelling in critical thinking and economics, it has shown less satisfactory outcomes in law, medical education and mathematics.
Question 2 findings: The author considers how ChatGPT can be employed to enhance teaching and learning. Educators believe that it has potential functions, including generating course materials, providing suggestions and aiding in assessment tasks. It can also have benefits for students by serving as a virtual tutor and supporting learning, collaboration and assessment preparation. The author identified five major issues across studies: reliance on biased data, limited up-to-date knowledge, generation of incorrect or fake information, student plagiarism and bypassing plagiarism detectors.
Question 3 findings: The review findings suggest that while educators believe that ChatGPT holds promise for enhancing teaching and learning, it introduces challenges, including generating incorrect or fake information and facilitating student plagiarism, necessitating immediate action to optimize its educational use.
The author recommends more extensive studies across diverse subject domains and education contexts, and exploration of subsequent ChatGPT versions like GPT-4. They encourage rigorous studies to evaluate ChatGPT’s influence on student performance and behavior, provide evidence-based recommendations influence on student performance and behavior, and provide evidence-based recommendations.
The authors conclude by reiterating the need for responsible use of ChatGPT in education, including instructor training, student education and continuous adaptation to evolving technology.
Lo, C.K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410