TY - CHAP
T1 - Pedagogical Infrastructures of MOOC Design for Employees Training in Leading Organizations
AU - Fathi Hafshejani, Farshideh
AU - Ebner, Martin
PY - 2025/5/20
Y1 - 2025/5/20
N2 - As the most promising form of education, Massive Open Online Courses (MOOCs) have recently received lots of attention, especially in the leading organizations, requiring closer attention to be paid to the MOOCs' implementation platforms before their execution. This qualitative study aims to analyze the pedagogical infrastructures in MOOCs designed for employee training in leading organizations. The research population includes documents retrieved by searching authentic Persian and Latin databases. Out of 142 studies (2013--2023), 73 were selected using a criterion sampling method. Data were gathered using the library research method and then analyzed via thematic analysis. The model validation process was presented using expert judgment. The researcher-made questionnaire for content validation of the conceptual model was then sent to the experts and the final model was approved after the modifications were made. Finally, eight sub-categories (i.e., application of learning paradigms and theories, motivational strategies in the educational environment, application of evaluation module strategies and criteria, provision of an interactive platform, infrastructure for developing the content of the course selection, setting the educational and learning goals, determining the learners' activity in learning, application of the learners engagement types) were obtained.
AB - As the most promising form of education, Massive Open Online Courses (MOOCs) have recently received lots of attention, especially in the leading organizations, requiring closer attention to be paid to the MOOCs' implementation platforms before their execution. This qualitative study aims to analyze the pedagogical infrastructures in MOOCs designed for employee training in leading organizations. The research population includes documents retrieved by searching authentic Persian and Latin databases. Out of 142 studies (2013--2023), 73 were selected using a criterion sampling method. Data were gathered using the library research method and then analyzed via thematic analysis. The model validation process was presented using expert judgment. The researcher-made questionnaire for content validation of the conceptual model was then sent to the experts and the final model was approved after the modifications were made. Finally, eight sub-categories (i.e., application of learning paradigms and theories, motivational strategies in the educational environment, application of evaluation module strategies and criteria, provision of an interactive platform, infrastructure for developing the content of the course selection, setting the educational and learning goals, determining the learners' activity in learning, application of the learners engagement types) were obtained.
KW - Educational environment
KW - Employee training
KW - Leading organizations
KW - MOOC
KW - Pedagogical infrastructures
UR - http://www.scopus.com/inward/record.url?scp=105007672157&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-80388-8_12
DO - 10.1007/978-3-031-80388-8_12
M3 - Chapter
SN - 978-3-031-80388-8
T3 - Learning and Analytics in Intelligent Systems
SP - 227
EP - 246
BT - Learning and Analytics in Intelligent Systems
A2 - Auer, Michael E.
A2 - May, Dominik
PB - Springer Nature Switzerland AG
CY - Cham
ER -