AI in Education
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
The impact of AI training programs and institutional policies on reducing ethical concerns among educators should be studied.
Consensus across the literature
Papers collectively establish that ethical concerns among educators are a significant issue but leave open the specific methods and policies to address these concerns.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 3 representative gaps
- Impact of Large Language Models on Personalized Learning, Assessment Automation, and Student Outcomes in Higher Learning Institution (2026) · doi
Furthermore, future research should examine the impact of institutional policies and AI training programs on reducing lecturers’ ethical concerns. A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions.
Keywords: future examine impact institutional policies training programs reducing lecturers ethical concerns contemporary review chatbots powered - The emerging relevance of relational justice within algorithmic fairness research: a systematic literature review (2026) · doi
This SLR focused primarily on institutional dimensions and acknowledged a limited set of relational authors, which represents a self-identified limitation given that power hierarchies are central concerns of relational injustice.
Keywords: relational focused primarily institutional dimensions acknowledged limited authors represents self identified limitation given power hierarchies - What It Takes to Leave Home: Psychological Safety Influence on Resident Interest in Academic Medicine (2026) · doi
Do faculty understand the institutional process for concerns being reported and addressed?
Keywords: faculty understand institutional process concerns reported addressed
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