Proceedings of the 7th World Conference on Research in Teaching and Education
Year: 2024
DOI:
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Artificial Intelligence in Education: What have we learned so far?
Prokopis A. Christou
ABSTRACT:
This study conducts a thorough investigation into the recent body of scholarly work focusing on the impact of Artificial Intelligence (AI) in education, underpinned by the need for ongoing evaluation of such fast-paced technological advancements. The first stage of analysis utilized an AI-assisted tool, which paved the way for a further in-depth evaluation of the content derived from the studies selected to meet the scope of this study. Adhering to the principles of a conceptual study, a theoretical framework was developed, rooted in the confluence of technology and educational theories to interpret the results. Key findings of this study reveal both the potential and challenges of AI in the educational sector, highlighting a significant gap in understanding the full effects of AI implementation across different levels of education. This includes the urgent need to explore how AI’s incorporation aligns with or diverges from educational goals and values. The findings also draw attention to the risks associated with an over-reliance on AI tools in education, particularly concerning their potential adverse impact on critical and reflective thinking. Main concerns include the hasty and unchecked adoption of AI technology, neglecting thorough evaluation of its educational effectiveness and implications. From a theoretical perspective, the study enhances understanding of AI’s role in education, integrating perspectives from diverse yet specific theoretical frameworks and suggesting directions for future research. From a practical standpoint, it offers valuable recommendations for educational stakeholders, encompassing academic institutions, educators, and learners.
keywords: AI; AI impacts; AI opportunities; AI threats