Abstract:

Smart Teaching is a new concept of technology-enhanced teaching supporting innovative emerging digital pedagogies and educational content by utilizing smart devices. The paradigm shift towards smart teaching requires a parallel shift in teaching pedagogies and strategies to support educational content by emerging smart instructional technologies. This challenge cannot be overcome without knowing which technological knowledge, pedagogical knowledge, educational content knowledge, and contextual factors are critical to the success or failure of smart teaching and learning initiatives.The present study enhanced our understanding of how to simulate educators’ intentions to adopt smart teaching in higher education institutions in UAE. The configurational model was developed based on the complexity theory and it was tested using fuzzy set Qualitative Comparative Analysis (fsQCA).The findings offer important implications for higher education institutions and are likely to stimulate further research in the area of smart teaching.

Keywords:

Complexity theory, configurational modelling, fsQCA, causal recipe, smart teaching, UAE.