Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis

2025-01-17

AI Summary

This study investigates the dual impacts and governance challenges of generative AI (GenAI)—including ChatGPT and Bard—in educational practice. Drawing on in-depth interviews with seven frontline educators, it employs thematic analysis integrated with exploratory text mining to systematically identify teacher-perceived dimensions of GenAI integration—a novel contribution to the literature. Findings confirm GenAI’s pedagogical value in enhancing instructional efficiency and enabling personalized learning, while simultaneously exposing critical risks: erosion of academic integrity and heightened cognitive dependency. The study innovatively proposes a “Three-Dimensional Governance Framework” (actor–process–institution), balancing ethical constraints with pedagogical adaptability. It further articulates actionable policy recommendations and classroom implementation pathways. Grounded in empirical educator insights, this work provides both theoretical grounding and practical guidance for the responsible, context-sensitive adoption of GenAI in education. (149 words)

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy
• Humans and AI: Learning Human Values and Preferences

Application Category

• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Responsible Web: Technology governance, policy, and regulations

Abstract

The recent advancements in Generative Artificial intelligence (GenAI) technology have been transformative for the field of education. Large Language Models (LLMs) such as ChatGPT and Bard can be leveraged to automate boilerplate tasks, create content for personalised teaching, and handle repetitive tasks to allow more time for creative thinking. However, it is important to develop guidelines, policies, and assessment methods in the education sector to ensure the responsible integration of these tools. In this article, thematic analysis has been performed on seven essays obtained from professionals in the education sector to understand the advantages and pitfalls of using GenAI models such as ChatGPT and Bard in education. Exploratory Data Analysis (EDA) has been performed on the essays to extract further insights from the text. The study found several themes which highlight benefits and drawbacks of GenAI tools, as well as suggestions to overcome these limitations and ensure that students are using these tools in a responsible and ethical manner.

Problem

• Artificial Intelligence in Education
• Smart Robot Application
• Regulation and Ethical Use

Innovation

• AI Education Integration
• Ethical Guidelines
• Personalized Learning