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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis
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] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly
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of the project is the application of artificial intelligence in language teaching and learning. He/She will be required to: (a) conduct independent and collaborative research on individual differences and
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. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction/Cultural Studies and/or knowledge of Cantonese. Applicants are invited to contact Prof
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and documentations related to the project; (b) develop learning materials for academic English presentations; (c) consolidate materials for training, research and reports; (d) organise meetings
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Longitudinally Students’ Growth in their Capacity for Learning in a Digital World (LDW) Across Cohorts.” He/She will take a key role in all stages of the research, including but not limited to (a) assessment
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multicultural students in primary and secondary schools in Hong Kong. He/She will be required to oversee the research timeline, develop data-driven methodology to inform the learning and teaching of Chinese
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for a third year is subject to satisfactory performance and mutual agreement. The successful candidate will only be required to teach one course during the first two years. Funded by the Glorious Sun
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The appointee will assist the project leader in the project - “Enhancing authentic learning experience through academia-industry collaboration on virtual reality teaching”. He/She will be required to: (a
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly