Generative AI and future education: a review, theoretical validation, and authors' perspective on challenges and...

Area of Science:

• Education Technology
• Artificial Intelligence Ethics

Background:

• Generative AI (Gen AI), notably ChatGPT, is increasingly popular for human-like text generation.
• Its integration into education sparks debate regarding benefits and drawbacks.

Purpose of the Study:

• To review challenges of using Gen AI in education.
• To identify and evaluate practical strategies for addressing these challenges.

Main Methods:

• Systematic literature search across reputable databases.
• Analysis of twenty-two publications using Atlas.ti software.

Main Results:

• Six primary challenges identified: plagiarism (most prevalent), responsibility, privacy, data protection, safety, security, discrimination, bias, soft skill loss, and digital divide.
• Most proposed strategies are practical and align with ethical/pedagogical theories.
• ChatGPT, AI, student, research, and education are key terms; US leads international collaboration.

Conclusions:

• Gen AI integration in education requires careful consideration of identified challenges.
• Practical, ethically-aligned strategies can facilitate responsible adoption.
• Further research and policy development are needed to navigate the evolving landscape of Gen AI in education.