Journal
SUSTAINABILITY
Volume 13, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/su13020800
Keywords
artificial intelligence; AI; deep learning; machine learning; education; AI in education; AIEd
Funding
- eLearn Center at Universitat Oberta de Catalunya [2018NG001]
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This study examines AI studies in education over half a century, identifying three research clusters and suggesting five broad research themes. Additionally, the study highlights that ethics in AI studies is an overlooked area in research.
Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970-2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.
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