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Direct linkAndrew Tawfik; Matthew Schmidt; Linda Payne; Rui Huang – Educational Technology Research and Development, 2024
We report findings from an eDelphi study that aimed to explore 16 expert panelists' perspectives regarding the key attributes of learning experience design (LXD) as it relates to the following: design, disciplines, methods, and theory. Findings suggest consensus was reached regarding LXD's focus on learner-centrism and incorporating human-centered…
Descriptors: Delphi Technique, Learning Experience, Design, Users (Information)
Thomas K. F. Chiu; Murat Çoban; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Educational Technology Research and Development, 2025
Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…
Descriptors: Artificial Intelligence, Digital Literacy, Competence, Self Efficacy
Popov, Vitaliy; Jiang, Yang; So, Hyo-Jeong – Educational Technology Research and Development, 2020
The present study aims to identify the challenges and solutions of implementing mobile learning in teaching and learning practices across K-12, higher education and industry. Methodologically, we employed Delphi study and scenario-based methods as primary techniques to collect and synthesize international experts' opinions. A cross-sector panel of…
Descriptors: Electronic Learning, Elementary Secondary Education, Higher Education, Industry
