Advancing education with large language models : a systematic review of potential, limitations, and business opportunities
Year: 2024
Type: review
Study design: Systematic Review
Abstract: This thesis explores the transformative role of Artificial Intelligence, particularly Large Language Models (LLMs), in the educational sector. Through a systematic review, it examines the applications, benefits, and limitations of AI-powered tools such as chatbots, highlighting their potential to personalize learning, automate feedback, and improve engagement. The study identifies key challenges, including ethical concerns like bias and data privacy, and evaluates real-world implementations to propose a targeted solution—a chatbot for the System Modelling course at LUT University. The research bridges academic insights and practical applications, contributing a roadmap for integrating LLMs into Finland's education system while emphasizing scalability, accessibility, and ethical deployment.
Source: LUTPub (LUT University)
Author: FattahiBavandpour, Reza
Institution: Lappeenranta-Lahti University of Technology
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6998425362