Large language models (LLMs) have emerged as powerful tools in the field of education, offering opportunities to transform learning experiences from both the teacher and the student. These tools have been used for a range of application such as document translation, customized learning, information access, learning new languages, content generation as well as developing programming applications. This paper investigates the potential benefits and challenges associated with integrating LLMs into educational environment. Through a comprehensive review of existing literature and case studies, the paper examines how LLMs can enhance information access, personalize learning experiences, aid language acquisition, facilitate content generation, and improve data accessibility. Moreover, the paper explores the limitations of LLMs, including their lack of context understanding, potential for bias and misinformation, limited capacity for fostering critical thinking skills, tendency to promote dependence on technology, and ethical concerns. By critically analysing both the opportunities and challenges, this paper aims to provide in formative insights for educators, students, policymakers, governments and researchers to maximize the benefits of LLMs while mitigating their limitations in educational contexts.
Bias, Content Generation, Education, Ethical Concerns, Information Access Large Language Models, Personalized Learning.
IRE Journals:
Andrew Kipkebut
"Large Language Model Challenges and Opportunities in Education" Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 918-924
IEEE:
Andrew Kipkebut
"Large Language Model Challenges and Opportunities in Education" Iconic Research And Engineering Journals, 8(2)