Longitudinal studies or mixed-method approaches having
Research gap analysis derived from 3 education papers in our local library.
The gap
Longitudinal studies or mixed-method approaches having qualitative data collection and interviews could provide deeper perceptions into the growing patterns of AI embracing with the passage of time.
Evidence profile
Sourced from the future work and limitations of the source papers, classified as methodology gap, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Towards the integration of artificial intelligence in Jordanian journalism practices from the UTAUT model perspective (2026) · Frontiers in Communication · doi
Longitudinal studies or mixed-method approaches having qualitative data collection and interviews could provide deeper perceptions into the growing patterns of AI embracing with the passage of time.
methodology gapfuture workevidence 5/5Keywords: longitudinal mixed approaches having qualitative collection interviews provide deeper perceptions growing patterns embracing passage time - Exploring Chinese EFL teachers’ adoption of generative AI: the roles of social influence and AI-PACK (2026) · Journal of China Computer-Assisted Language Learning · doi
As this study relied on cross-sectional quantitative data, it cannot fully capture the dynamic evolution of teachers' intentions over time. Subsequent research should employ longitudinal designs or mixed-method approaches, triangulating quantitative data with qualitative interviews to provide deeper insights into the causal mechanisms of AI adoption.
methodology gaplimitationsevidence 5/5Keywords: quantitative relied cross sectional cannot fully capture dynamic evolution teachers intentions time subsequent employ longitudinal - The effects of responsiveness, perceived warmth, and anthropomorphism on university students' use of conversational AI for learning support: a chain mediation analysis based on S-O-R framework (2026) · Frontiers in Psychology · doi
The study employed only cross-sectional SEM design without qualitative data collection methods such as in-depth interviews, observational data, or focus group discussions. Future research should integrate mixed-method designs combining survey data with qualitative approaches to comprehensively uncover the psychological dynamics and cognitive processes underlying conversational AI usage for learning support.
methodology gaplimitationsevidence 5/5Keywords: structural equation modeling cross-sectional design qualitative interviews conversational AI learning engagement
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