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Xiaoman Wang; Matthew Schmidt; Albert Ritzhaupt; Jie Lu; Rui Tammy Huang; Minyoung Lee – Educational Technology Research and Development, 2024
The purpose of this study was to explore the competencies of those professionals working in the nascent area of Learning Experience Design (LXD). Following systematic procedures and inspiration from our conceptual framework of LXD that emphasizes knowledge, skill, and ability statements (KSA), we collected and coded N = 388 unique LXD job…
Descriptors: Learning Experience, Occupational Information, Job Analysis, Factor Analysis
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Matthew Schmidt; Yvonne Earnshaw; Isa Jahnke; Andrew A. Tawfik – Educational Technology Research and Development, 2024
This paper explores the adoption of an entangled eclecticism perspective in Learning Experience Design (LXD), integrating a sociotechnical-pedagogical systems approach. It emphasizes the significance of considering the sociocultural, technological, and pedagogical dimensions of learning as a cohesive, interconnected ecology to design effective…
Descriptors: Design, Learning Experience, Instructional Effectiveness, Culturally Relevant Education
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Andrew 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)