Limited discussion on how AI systems can be designed

The gap

Evidence profile

Sourced from the inline gaps and future work and open questions of the source papers, classified as methodology gap, spanning 3 journals.

Supporting evidence — 3 representative gaps

• THE IMPACT OF AI IN EDUCATION (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  Limited discussion on how AI systems can be designed to enhance critical thinking, problem-solving, and decision-making capabilities beyond basic guidance provision.

  methodology gapinline gapsevidence 5/5
  Keywords: limited discussion systems designed enhance critical thinking problem solving decision making capabilities beyond basic guidance
• Students' Experiences of Learning Authenticity in Artificial Intelligence Assisted Academic Work (2026) · Formosa Journal of Science and Technology · doi

  Future research can examine the influence of AI on students' critical thinking skills, academic creativity, and scientific integrity by using a more diverse methodological approach.

  methodology gapfuture workevidence 5/5
  Keywords: future examine influence students critical thinking skills academic creativity scientific integrity using diverse methodological approach
• La inteligencia artificial como mediadora del aprendizaje y sus implicaciones en el desarrollo del pensamiento crítico. (2026) · MQRInvestigar · doi

  The paper identifies that AI-mediated learning can strengthen critical thinking when active didactic strategies like problem-based learning and formative feedback are included, yet provides no empirical comparison of which specific pedagogical approaches (problem-based learning vs. case-based learning vs. Socratic questioning) most effectively develop critical thinking alongside AI tools in higher education contexts.

  methodology gapopen questionsevidence 5/5
  Keywords: AI-mediated learning critical thinking problem-based learning formative feedback pedagogical strategies

Questions about this gap