Learning Analytics and Visualisation, methodologies to collect, organise and interpret data to reveal how learning and teaching can be improved, and translate this into actionable interventions and pedagogical innovations

Cognitive Science and Instructional Design, specifically, learning through social interactions using a computing device or through the Internet, where there is sharing, organisation, negotiation and synthesis of knowledge.

Adaptive Learning, focusing on data-driven approaches to personalise learning; adjusting the path, difficulty and pace of learning

Fostering Self-regulation and Metacognition in Computer Supported Collaborative Learning Environments

Find out if providing analytics-driven visualisation of individual and collective processes and knowledge enables students to engage in productive self and shared regulation of learning, and deeper learning outcomes.

[Principal Investigator]

Developing Coherence and Rigor in Scientific Explanations through Knowledge Building Pedagogy & Technologies

Focus on uncovering the development of students’ scientific explanations in a technology-supported knowledge building class, and found that students developed increasingly sophisticated and coherent scientific explanations as they engage in collective idea improvement work in the classroom.

[Principal Investigator]

Understanding Classroom-based Research to Support Research-based Solutions to Complex Problems of Educational Technology in Teaching and Learning

Analyse teachers’ perspectives of the research intervention (Design Research) to understand the characteristics of the intervention that were considered usable to sustain shifts in teacher practice and also largely compatible with the researchers’ intention.

[Collaborator]