education6 papersavg year 2026weak evidence

A mixed-methods approach combining quantitative

Research gap analysis derived from 6 education papers in our local library.

The gap

A mixed-methods approach combining quantitative assessments of AI literacy with qualitative explorations of teachers' experiences and sense-making processes is recommended but currently underutilized.

Evidence profile

Sourced from the future work and limitations of the source papers, classified as methodology gap, spanning 6 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 6 representative gaps

  • Leveraging artificial intelligence (AI) to enhance student engagement and academic performance in higher education (2026) · Education and Information Technologies · doi

    Qualitative analyses of how students engage with AI tools under different instructional frameworks would complement these findings, offering deeper understanding of how engagement mediates AI's influence on learning outcomes.

    methodology gapfuture workevidence 5/5
    Keywords: qualitative analyses students engage tools different instructional frameworks complement offering deeper understanding engagement mediates influence
  • Teachers, Students, and Thinking Machines: Rethinking the Role of Artificial Intelligence in Higher Education (2026) · Journal of Hunan University Natural Sciences · doi

    Need to examine how sustained AI use reshapes teachers' epistemic authority and how prolonged student reliance on AI affects critical thinking, learner agency, and intellectual autonomy across multiple academic disciplines and semesters.

    methodology gapfuture workevidence 5/5
    Keywords: need examine sustained reshapes teachers epistemic authority prolonged student reliance affects critical thinking learner agency
  • AI literacy and Ethical use: Developing and validating a Framework for Pre-service and In-service Teachers in Technology-Integrated Classrooms (2026) · Open Access Research Journal of Science and Technology · doi

    A mixed-methods approach combining quantitative assessments of AI literacy with qualitative explorations of teachers' experiences and sense-making processes is recommended but currently underutilized.

    methodology gapfuture workevidence 5/5
    Keywords: mixed approach combining quantitative assessments literacy qualitative explorations teachers experiences sense making processes recommended currently
  • Artificial Intelligence in English-Speaking Education: A WoS-Based Bibliometric Analysis of Technology, Pedagogy, and Ethics (2021-2025) (2026) · International Journal of Learning, Teaching and Educational Research · doi

    Future studies should prioritize mixed-method and longitudinal designs to examine how AI-supported speaking tools influence learner engagement, affective factors, and classroom practices over time, thereby addressing the fragmentation identified in this study.

    methodology gapfuture workevidence 5/5
    Keywords: future prioritize mixed longitudinal designs examine supported speaking tools influence learner engagement affective factors classroom
  • La inteligencia artificial como mediadora del aprendizaje y sus implicaciones en el desarrollo del pensamiento crítico. (2026) · MQRInvestigar · doi

    The paper asserts that the teacher's role must be redefined in AI-mediated learning contexts to maintain the student as an active protagonist and prevent cognitive dependence, yet provides no concrete framework for how educators should scaffold AI tool use, design interventions to preserve intellectual autonomy, or assess when AI mediation shifts from complementary to dependency-inducing.

    methodology gapfuture workevidence 5/5
    Keywords: teacher role AI mediation cognitive dependence intellectual autonomy scaffolding pedagogical framework
  • Teachers’ perceptions of artificial intelligence in curriculum integration: opportunities, concerns, and professional development needs (2026) · Frontiers in Artificial Intelligence · doi

    Data were collected through written responses via semi-structured electronic interviews, limiting opportunities for probing and follow-up clarification; face-to-face interviews are needed to deepen understanding of teachers' specific concerns about AI's impact on students' socio-emotional development and interpersonal engagement.

    methodology gaplimitationsevidence 5/5
    Keywords: semi-structured interviews qualitative data collection teachers' perceptions socio-emotional development

Questions about this gap

A mixed-methods approach combining quantitative assessments of AI literacy with qualitative explorations of teachers' experiences and sense-making processes is recommended but curr… This is supported by 6 representative gap statements extracted from 6 papers, rated weak evidence.

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