engineering2 papersavg year 2026quality 4/5moderate evidence

AI in Education

Research gap analysis derived from 2 engineering papers in our local library.

The gap

The ethical implications and practical solutions for academic integrity in AI-assisted learning need further exploration, particularly through empirical studies across diverse educational settings.

Consensus across the literature

Papers collectively establish the need to address academic integrity issues but leave open how to empirically validate these concerns.

Research trend

Emerging — attention growing, methods still coalescing.

Supporting evidence — 2 representative gaps

  • Artificial Intelligence Integration in Saudi TESOL: Students’ Perceptions, Ethical Readiness, and Institutional Implementation Needs (2026) · doi

    Ethical concerns regarding academic integrity, originality, and fairness in AI-supported TESOL learning remain significant but underexplored in terms of practical solutions and institutional protocols.

    Keywords: ethical concerns regarding academic integrity originality fairness supported tesol learning remain significant underexplored terms practical
  • Design and Implementation of a Web-Based RFID-Enabled Library Visitor Attendance and Management System: A Case Study at STMKG (2026) · doi

    Integration with institutional academic information systems is identified as an area for future development.

    Keywords: integration institutional academic information systems identified area future development

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