Project Details

Establishment of New Paradigm with Feasible Models in Teaching and Learning Science for Problem Solving and Future Development

The project aims to create critical mass, in terms of human resources and digital resources in science to meet the needs of local students; support the development of a new teaching and learning paradigm that implants blended leaning and eLearning (beLearning) as an indispensable component in programme-level curriculum design; actively engage students in the beLearning movement; and to cultivate a community of practices that serves as an effective change agent in the development of beLeaning. Expected outcomes and deliverables of the project include a host of T&L objects across a wide range of science topics will have been developed and used by teachers; practical and feasible blended and eLearning models established; practical and feasible models to actively engage students established; and community of practice established and buy-in of frontline teachers enhanced. To engage a large group of teachers to develop a host of T&L objects across a wide range of science topics; develop practical and feasible beLearning models; develop various models to actively engage students; develop various models to actively engage students; design and launch a series of activities to promote the successful models to other teachers, programmes and institutions are the major activities of the project. The project team will also organize professional development workshops; set up a blended learning multidisciplinary support team in the Faculty of Science of CUHK and the Department of Mathematics and Information Technology of HKIEd to provide support to teachers; work to formalize the models described under O2 and O3 (e.g., to formalize the use of online courses as pre-requisite courses, to provide students who involve in student models as described under O3 with formal recognition); organize and participate in T&L workshops and conference and set up a website and organize workshops to disseminate project results.

Commencement Date : 2014/7
Completion Date : 2018/3
Chief Investigator(s) : Wai Yin POON *
Thomas Kwok Keung AU *
Ming Chung CHU *
Liwen JIANG *
Matthew Kin Wah MAK *
Pang Chui SHAW *
Teng Fong WONG *
Prof KONG, Siu Cheung 江紹祥 [LTTC,MIT]
Co-Investigator(s) : S. Y. CHEUNG *




*Investigator from an outside institution/organization


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