The study calls for updated measurement approaches in AI-related educational research, indicating existing instruments may not adequately capture AI-specific adoption features.
Research gap analysis derived from 3 education papers in our local library.
The gap
The study calls for updated measurement approaches in AI-related educational research, indicating existing instruments may not adequately capture AI-specific adoption features.
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Understanding university teachers’ continuance of an AI teaching assistant: an integrated TTF–TAM–ECM model in higher education (2026) · doi
The study calls for updated measurement approaches in AI-related educational research, indicating existing instruments may not adequately capture AI-specific adoption features.
Keywords: calls updated measurement approaches related educational indicating existing instruments adequately capture specific adoption features - Advancing from Compliance to Innovation in Medical Education: a strategic roadmap for MEUs in colleges of Korean medicine based on FGI (2026) · doi
Application of AI-based learning analytics and advanced technological infrastructure is presented as illustrative future outcomes rather than validated implementations, requiring evidence-based development.
Keywords: based application learning analytics advanced technological infrastructure presented illustrative future outcomes rather validated implementations requiring - Higher Education Response to Artificial Intelligence on Academic Integrity in Africa (2026) · doi
The paper relies entirely on secondary materials and explicitly acknowledges the need for empirical studies, but does not specify what empirical research design (e.g., longitudinal studies, randomized controlled trials, institutional case studies) should be used to measure the relationship between AI adoption, academic integrity outcomes, and learning effectiveness across African higher education institutions.
Keywords: empirical studies academic integrity AI adoption learning outcomes African institutions research design
Explore this gap further
Search “The study calls for updated measurement approaches in AI-related educational research, indicating existing instruments may not adequately capture AI-specific adoption features.” across open scholarly engines for the latest related literature.
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Free tools for your next paper
Related gaps in Education
- The findings of the study have practical implications for the education sector, as they highlight the need for intensive training in higher education institutions to bridge the gap in understanding anThe findings of the study have practical implications for the education sector, as they highlight the need for intensive training in higher …
- There is a need to establish a standard framework of AI tools which can be integrated with the Education System.There is a need to establish a standard framework of AI tools which can be integrated with the Education System.
- Although research has identified oral language, print knowledge, and phonological sensitivity as important emergent literacy skills for the development of reading, few studies have examined the relatiAlthough research has identified oral language, print knowledge, and phonological sensitivity as important emergent literacy skills for the …
- In Australia, most intellectually gifted students are in mixed-ability classes and teachers are expected to differentiate to meet the specific learning needs of students across the full range of abiliIn Australia, most intellectually gifted students are in mixed-ability classes and teachers are expected to differentiate to meet the specif…