IMPACT AND IMPLICATIONS OF AI METHODS AND TOOLS FOR THE FUTURE OF EDUCATION
Abstract Submission Deadline 28 February 2023
Manuscript Submission Deadline 30 June 2023
This Research Topic's organizers believe that the several stakeholders (educators, researchers and AI practitioners) can commit to creation, developing, rethinking, and re-imagining of AI methods and technologies that can lead to efficient and effective adoption/implementation of the TEL-based (technology-enhanced) education, science, or innovations. The section aims to collect state-of-the-art research and studies that look into (i) why digitized-education may or may not have been effectively implemented in the different educational settings (ii) intelligent tools, models, and manifestos that support instructional AI design for scale or learning sustainability (iii) strategies, policies, and frameworks that support AI-based interventions to facilitate the teacher-student learning processes and outcomes (iv) digitally engaging the educational ecosystem, and (v) data-driven methods or analytical approaches for human learning development or life-long learning. Thus, this collection considers studies in which the methodology deals with different case studies, new and emerging technologies that are robustly implemented to understand the impact, benefits, and challenges to use of digital technologies or AI in education.