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Post-doctoral Fellow in Learning Design and Learning Analytics

Employer
THE UNIVERSITY OF HONG KONG
Location
Pok Fu Lam, Hong Kong
Closing date
12 Jul 2019

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Academic Discipline
Education, Social Sciences
Job Type
Academic Posts, Postdocs
Contract Type
Permanent
Hours
Full Time

Work type: Full-time
Department: Faculty of Education (10000)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in Learning Design and Learning Analytics in the Faculty of Education (Ref.: 496904), to commence on August 1, 2019 or as soon as possible thereafter until June 30, 2020.

Applicants should possess a Ph.D. degree in Education, Instructional Design or related fields, with specific focus on e-learning, e-learning pedagogy, learning technology design and/or teacher professional development for e-learning/e-assessment innovations. Demonstrated ability in academic writing, evaluation of educational innovation, and/or experience in research project management would be a clear advantage.

The appointee will play a key role in the project “An Open Learning Design, Data Analytics and Visualization Framework for E-Learning”, which is an inter-institutional collaborative research project involving researchers from The University of Hong Kong, The Hong Kong University of Science and Technology and Massachusetts Institute of Technology. He/She will work under the supervision of Professor Nancy Law and is expected to contribute to the development of learning and assessment design models and tools that guide and support e-learning course design and the advance planning of specific learning analytics and feedback. Courses on computational thinking (K-12 and higher education) will be a core focus for this research project.

Information about the Faculty can be obtained at https://web.edu.hku.hk/. Enquiries about the post should be sent to Professor Nancy Law, Faculty of Education at nlaw@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 12, 2019, or until the post is filled, whichever is earlier.

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