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Our Research

Research at the Faculty of Education informs theory, pedagogy/practice and policy. All academic staff are engaged in research; and this engagement is recognised in the Faculty’s stated aim to serve as an educational/research ‘nexus’ between China, Asia and the rest of the world. As a large, unitary Faculty, our research is described as interdisciplinary but with a strong basis in academic disciplines allied with education, pedagogy, professional development, and speech/hearing sciences. Research is organised via: Divisions; within our 7 Research Centres and 2 Consortia; and as an individual focus. In addition, the Faculty hosts the Education Policy Unit.  The Laboratory of Neuroscience for Education is an interdisciplinary unit that crosscuts the traditional boundaries among education, cognitive neuroscience, and other scientific disciplines. At any point in time there are a large number of on-going funded research projectsseminar series, international visitors and distinguished lectures. As researchers, we are actively engaged in local, regional and international collaborations. We maintain an active programme of funded/self-funded research studentships within our MPhil/PhD and EdD programmes.

Research News

  • Dec 22 2017 >

    Dr Gary Wong and his PhD student received IEEE TALE 2017 Best Paper Award MoreClose

    We are pleased to tell you that Dr Gary Wong and his PhD student, Ms Joyce Jiang, received a Best Paper Award from the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2017.

    The paper is entitled Assessing primary school students' intrinsic motivation of computational thinking. It examined the psychometric properties of a revised Intrinsic Motivation Inventory, a self-report instrument used to assess participants’ experience regarding a particular activity, in the context of computational thinking learning. Four hundred students from 4th grade participated in the pilot study. The study found that primary school students showed moderate to high motivation to learn computational thinking through programming and CS Unplugged, a collection of free learning activities that teach Computer Science through engaging games and puzzles. Factor analysis revealed that both a single factor model and a multifactor model had good fit indices. However, discriminant validity of multifactor model was poor, suggesting the existence of one general factor.

    The paper was selected from 185 submissions and was one of the three papers receiving a Best Paper Award.

    The conference was held during December 12 to 14, 2017 with the Education University of Hong Kong as host, and the event was co-organized with the IEEE Education Society and IEEE Hong Kong Section (Education Chapter).

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