AI in Education
Research gap analysis derived from 2 computer_science papers in our local library.
The gap
Future research should develop and test integrated frameworks that connect AI technologies, sustainability practices, and teacher professional development for K-12 classrooms.
Consensus across the literature
Papers collectively establish the need for sustainable and teacher-focused AI integration but leave open specific framework components and validation methodologies.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 3 representative gaps
- AI literacy and Ethical use: Developing and validating a Framework for Pre-service and In-service Teachers in Technology-Integrated Classrooms (2026) · doi
Research is needed to examine the sustainability of professional development effects and identify factors that promote or hinder sustained implementation of AI literacy practices.
Keywords: needed examine sustainability professional development effects identify factors promote hinder sustained implementation literacy practices - The Interplay of ChatGPT Literacy and Sustainability Perceptions: Evidence from Tertiary-Level EFL Learners (2026) · doi
Curricular reconsideration and teacher preparation are required to integrate ChatGPT into EFL practices and promote sustainability perspectives during language learning.
Keywords: curricular reconsideration teacher preparation required integrate chatgpt practices promote sustainability perspectives language learning - The Interplay of ChatGPT Literacy and Sustainability Perceptions: Evidence from Tertiary-Level EFL Learners (2026) · doi
A lack of curricular focus on sustainability and a lack of relevant tools and activities could hinder sustainable educational practices in EFL contexts.
Keywords: lack curricular focus sustainability relevant tools activities hinder sustainable educational practices contexts
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