Assessing student learning in work-integrated learning (WIL): A systematic review on assessment methods and purposes See

Variable- and Person-centred meta-re-analyses of university students' learning strategies from a cross-cultural perspective See

Toward an Organising Theoretical Model for Teacher Clarity, Feedback and Self-Efficacy in the Classroom See

A Theoretical and Metatheoretical Reframing of the Development of Cognitive Processing and Learning See

Adaptation to a sibling culture: The satisfaction and persistence intentions of Mainland Chinese postgraduate students at a Hong Kong university See

Adaptation of Mainland Postgraduate Students to the Hong Kong’s universities See

Show them what they can't see! An evaluation of the use of customized 3D printed models in head and neck anatomy See

Shifting to online assessment: The diverse assessment experience across faculties during lockdown at a Hong Kong University See

The research experience of postgraduate students: a mixed-methods study See

Supervisors matter, but what about peers? The distinct contributions of quality supervision and peer support to doctoral students’ research experience See

The effect of conceptions of learning and prior online course experiences on students’ choice of learning spaces for synchronous online learning during COVID-19 See

Cultivating student thriving in the virtual learning environment: An evidence-based positive education programme See

Students Thrive as Partners in Virtual Learning See

Beyond the conventional view of bipolarity: methodological considerations for examining the relationship between well-being and ill-being See

The Educational, Social and Health Impacts of the COVID-19 Pandemic on University Graduates Transitioning to the Workforce in Hong Kong. Presented at the Hong Kong Research Grants Council Collaborative Research Fund cum Research Impact Fund Symposium. City University of Hong Kong, Kowloon, Hong Kong See

Eight years after the 3-3-4 curriculum reform: The current state of undergraduates’ holistic competency development in Hong Kong See

Students’ voices on generative AI: perceptions, benefits, and challenges in higher education See

A comprehensive AI policy education framework for university teaching and learning See

A systematic review - handwritten examinations are becoming outdated, is it time to change to typed examinations in our assessment policy? See