Adopt LLMs in higher education only alongside organizational readiness, ethical guidance and professional development¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The review's implementation recommendation is that institutions adopting LLMs pair the technology with non-technological conditions. As the review states, "Successful implementation requires not only technological infrastructure but also organizational readiness, ethical guidance, and professional development to ensure that AI-enhanced curricula prepare graduates for a rapidly changing world". Related works synthesized in the review echo this: earlier reviews flagged ethics, privacy, accuracy, plagiarism, unequal access and over-reliance, concluding benefits depend on institutional policies, teacher guidance and digital literacy among students and teachers.

Design Implications¶

Context¶

Requirements¶

• Technological infrastructure, organizational readiness, ethical guidance, and professional development, per the review's implementation condition

Constraints¶

• The review notes concerns including ethics, privacy, accuracy, plagiarism, unequal access to technology, and students becoming overly dependent on automated systems

Target Learners¶

• higher education students
• university faculty
• institutional managers and policymakers

Target Learning Goals¶

• responsible and effective integration of LLMs into teaching and assessment

Claims¶

• The baseline country difference in GenAI pedagogical readiness was explained by exposure and institutional conditions: the Kazakhstan coefficient fell from B = 0.205 to a non-significant B = 0.041 [+W]

Related Strategies¶

• Adopt ethical safeguards and pedagogically grounded frameworks when deploying GenAI assessment tools
• Institutional and professional support for teacher educators' GenAI-specific TPK through practical training, policy clarity, and ethical guidelines

Examples¶

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Key Sources¶

• Martínez-Peláez, R.; Mena, L.J.; Toral-Cruz, H.; Ochoa-Brust, A.; Potes, A.G.; Flores, V.; Ostos, R.; Ramírez Pacheco, J.C.; Félix, R.A.; Félix, V.G. (2025). Can Large Language Models Foster Critical Thinking, Teamwork, and Problem-Solving Skills in Higher Education?: A Literature Review. Systems 2025, 13, 1013. https://doi.org/10.3390/systems13111013