Dr. Dongpin Hu (Peter) received his PhD in Educational Technology from the University of Hong Kong, TESOL from Arizona State University, MEd in Educational Studies from the Education University of Hong Kong, and BSc in Computer Science (Machine Learning and Artificial Intelligence pathway) from the University of London. Before joining EdUHK, he was working as a postdoctoral researcher at the Chinese University of Hong Kong and a part-time lecturer at the University of Hong Kong. Dr Hu's research interests are AI in Education, epistemic network analysis, content and language integrated learning (CLIL), adaptive learning, and technology-enhanced language learning.
 

Dr. Hu's research agendas focus on two fundamental questions in modern education: 1) How to enhance learning outcomes through learning technologies; 2) Why a certain learning technology could lead to learning progress can be explained and predicted based on evidence from both the learning process and outcomes.

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To achieve the research vision of building theory-informed, evidence-based, and technology-enhanced learning environments and further reform the current education system, he designs experiment-based research and develops learning analytics tools. One frequently investigated subject domain under his current research plan is content and language integrated learning (CLIL) due to its complex and authentic learning scenario, which provides a fertile ground to examine the affordances of technology and analytics. He believes that technology can support cognitive, affective, and metacognitive learning outcomes that are otherwise difficult to achieve through traditional instructional approaches, and analytics can model, assess, and predict learner achievement in ways that traditional assessment approaches and research methods cannot. Common technology-enabled interventions he proposes include innovative cognitive tools, collaborative mechanisms, real-time assessment using the ENA 3D framework, and AI-enabled adaptive learning systems.