ChatGPT in Classrooms: Transforming Challenges into Opportunities in Education

TL;DR

This paper explores the integration of ChatGPT in education, examining its potential benefits and challenges, and employs empirical research to understand educator and student perceptions for effective implementation.

Contribution

It provides an empirical analysis of attitudes toward ChatGPT in classrooms using the Technology Acceptance Model, offering a process manual for future research.

Findings

Educators and students show mixed attitudes toward ChatGPT adoption.

Perceived benefits include personalized learning; concerns involve cheating and accuracy.

Identifies key hurdles and strategies for effective AI integration in education.

Abstract

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its potential for personalized learning is offset by issues of cheating, inaccuracies, and educators struggling to incorporate it effectively into their lesson design. We are standing on the brink of this educational frontier, and it is clear that we need to navigate this terrain with a lot of care. This is a major challenge that could undermine the integrity and value of our educational process. So, how can we turn these challenges into opportunities? When used inappropriately, AI tools can become the perfect tool for the cut copy paste mentality, and quickly begin to corrode critical thinking, creativity, and deep understanding, the most important skills in our rapidly changing world. Teachers feel that they are not equipped to leverage this technology, widening the digital divide among educators and institutions. Addressing these concerns calls for an in depth research approach. We will employ empirical research, drawing on the Technology Acceptance Model, to assess the attitudes toward generative AI among educators and students. Understanding their perceptions, usage patterns, and hurdles is the first crucial step in creating an effective solution. The present study will be used as a process manual for future researchers to apply, running their own data, based on the steps explained here