Most existing research is predominantly situated in Western or technologically advanced educational contexts

The gap

Evidence profile

Sourced from the inline gaps and limitations and stated research gap of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• AI-Supported Academic Systems and Dropout Reduction in Latin American Public Universities Between 2019 and 2024 (2026) · Innovative Higher Education · doi

  Consequently, the extent to which AI-driven improvements in student retention would persist beyond this exceptional historical moment remains an open empirical question that future research should address. Future Research Directions Future research could address current limitations through individual-level analysis that tracks student experiences with AI-supported systems to identify specific mech- anisms driving retention improvements. Moreover, future research could explore how AI adoption interacts with other educational innovations to create synergistic effects that exceed individual technology benefits, contributing to more comprehensive understanding of technology integration strategies in higher education development.

  generalinline gaps
  Keywords: future improvements student retention address individual technology consequently extent driven persist beyond exceptional historical moment
• Playful learning with physical computing in computer science classrooms (2026) · Frontiers in Education · doi

  Future implementation and research should impact evaluations, longitudinal studies of student learning, and further investigation of how playful CS and AI learning experiences and educational systems influenced independent across different cultural enacted include are opportunities not only to use emerging technologies, but also to understand the underlying computational concepts, data, and design principles.

  generallimitations
  Keywords: learning future implementation impact evaluations longitudinal student further investigation playful experiences educational systems influenced independent
• Bridging minds and machines: perception of artificial intelligence in scientific writing across Latin America (2026) · Frontiers in Education · doi

  Overall, the study contributes to the growing literature on AI in higher education by showing that favorable acceptance of AI can coexist with in autonomous and critically regulated performance. This finding is theoretically important because it suggests that the educational challenge is not simply adoption, but the quality of integration. Framed in this way, AI should not be understood as an inherently effective enhancer of writing performance, but as a mediating resource whose pedagogical value depends on how students appropriate it within self regulated learning processes.

  generallimitationsevidence 5/5
  Keywords: regulated performance overall contributes growing literature higher education showing favorable acceptance coexist autonomous critically nding
• University EFL Students’ Perceptions of Artificial Intelligence in Higher Education Learning Environments (2026) · Journal of Language Teaching and Research · doi

  Most existing research is predominantly situated in Western or technologically advanced educational contexts, leaving a lack of understanding of how students in developing regions perceive and internalize AI. Prior studies often rely on quantitative approaches that highlight acceptance levels but fail to capture nuanced emotional responses, ethical concerns, and complex cognitive shifts triggered by everyday AI use.

  generalstated research gapevidence 5/5
  Keywords: existing research predominantly situated western technologically advanced educational

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