aceA focused review of artificial intelligence in education: Evolution and challenges
The given systematic analysis reviews 40 articles published in 2015-2025 to discuss the examine the evolution, applications, and challenges of artificial intelligence (AI) in education, specifically in the bi/multilingual learning settings. The review relies on empirical and theoretical study and provides identification of the three major domains, including personalized learning, intelligent tutoring systems and chatbots, and automated assessment. The research results demonstrate that AI improves student engagem…
Systematic review of 40 studies reports AI tools for personalized learning, tutoring and assessment improved student engagement, learning performance and teaching efficiency through adaptive feedback and real-time analytics in bi/multilingual settings.
Same review identifies persistent risks in those settings including data privacy violations, algorithmic bias, unequal access, and erosion of relational and cultural aspects of teaching, described as an empathy gap in AI tools.
Findings are bounded to bi/multilingual learning contexts, particularly English-dominant settings, and to a review of 40 articles from 2015-2025 rather than new primary outcome data.
Evidence
- Peer-reviewedJournal of Interdisciplinary Research in Artificial Intelligence and Society2025-12-24
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Truvace Impact Record TRV-2026-0423, v1: “A focused review of artificial intelligence in education: Evolution and challenges.” Truvace, 2026-07-20. /record/TRV-2026-0423 (accessed at citation time). sha256 06d3dafdb44e3e10…
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