Address how to ensure equitable access for all students

The gap

Evidence profile

Sourced from the inline gaps and future work and open questions and limitations of the source papers, classified as application gap, spanning 4 journals.

Supporting evidence — 5 representative gaps

• Coping with AI: Islamic Principles for New Education Policy (2026) · Journal of Engineering Research and Education (JERE) · doi

  While the paper emphasizes equitable access to digital infrastructure and fair opportunities for underrepresented groups, it does not provide concrete strategies for implementing these principles or measuring equity outcomes in AI-enabled educational systems.

  application gapinline gapsevidence 5/5
  Keywords: emphasizes equitable access digital infrastructure fair opportunities underrepresented groups provide concrete strategies implementing principles measuring
• Systematic Literature Review on Students’ Perceptions of Ethical AI: Fairness, and Regulatory Understanding (2026) · Journal of Engineering Research and Education (JERE) · doi

  Equitable access to AI technologies for all students regardless of socioeconomic status or disability needs to be ensured, but practical implementation frameworks are not provided.

  application gapfuture workevidence 5/5
  Keywords: equitable access technologies students regardless socioeconomic status disability needs ensured practical implementation frameworks provided
• THE IMPACT OF AI IN EDUCATION (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  The paper does not address how to ensure equitable access for all students across different socioeconomic backgrounds when implementing AI-based education systems.

  application gapopen questionsevidence 5/5
  Keywords: address ensure equitable access students across different socioeconomic backgrounds implementing based education systems
• Artificial Intelligence Adoption in Education Opportunities Challenges and Future Directions (2026) · International Journal for Multidimensional Research Perspectives · doi

  The paper acknowledges the digital divide as a barrier to equitable access but lacks concrete empirical research on comparative outcomes between resource-rich and resource-limited educational institutions implementing AI technologies. Specific case studies measuring how technological infrastructure constraints affect the efficacy of AI-driven adaptive learning systems in low-resource regions are absent.

  application gaplimitationsevidence 5/5
  Keywords: digital divide equitable access adaptive learning systems technological infrastructure low-resource education
• La inteligencia artificial como mediadora del aprendizaje y sus implicaciones en el desarrollo del pensamiento crítico. (2026) · MQRInvestigar · doi

  The paper identifies that AI integration creates equity challenges due to unequal access to technology and emphasizes the need for critical competencies in students, but does not specify what contextual factors (socioeconomic status, digital literacy baseline, institutional infrastructure) most significantly affect equitable development of critical thinking through AI-mediated learning across diverse student populations.

  application gapinline gapsevidence 5/5
  Keywords: equity AI access critical thinking digital literacy socioeconomic factors student populations inclusive education

Questions about this gap