Mapping Leadership Strategies for Effective Blended Learning in Hong Kong Schools: An Analysis through the CABLS Framework (75753)

Session Information:

Wednesday, 22 November 2023 15:45
Session: Poster
Room: Orion Hall
Presentation Type: Poster Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study explores effective implementation and leadership strategies of blended learning in Hong Kong schools, framed through the lens of the Complex Adaptive Blended Learning System (CABLS) framework (Wang et al., 2015). Fifteen school leaders were purposively selected from schools dedicated to blended learning for at least two years. These leaders also had a minimum of two years' prior service at their schools, ensuring comprehensive insights into their school's culture and the topic under study. The last sampling criterion is a high satisfaction rate towards blended learning among teachers and students in these schools. Data was collected through semi-structured interviews that were then transcribed and subjected to thematic analysis. The findings reveal that the strategies employed by these leaders can be effectively mapped against the six subsystems of the CABLS framework: the learner, the teacher, the technology, the content, the learning support, and the institution. For instance, the institution subsystem was targeted through a gradual approach to instructional change and the cultivation of a collaborative culture among teachers. The content subsystem was enriched by providing diverse and engaging learning materials (both online and offline), adapted to suit the evolving needs of the learners and the teachers. Overall, the study suggests that the CABLS framework provides a comprehensive and adaptive approach to effectively implement blended learning. In addition, the findings offer practical insights for school leaders aiming to implement or improve blended learning in their institutions.

Ka Man Lau, The Chinese University of Hong Kong, Hong Kong
Paul Lam, The Chinese University of Hong Kong, Hong Kong

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00