Understanding and supporting self-regulated learning with technology
I work with educators and children to co-design effective learning activities and technologies to understand and support meaningful metacognitive learning (e.g., self-regulated learning, informed choice-making during learning). My research has discovered, among others:
- Students whose choices were supported (through self-reflection on their own choice-making behaviors) in intelligent tutoring software choose to use an instructional aid less frequently yet more strategically, and learned greater domain knowledge and skills
Cognitive understanding of human learning & instruction to support it
I design effective instructional techniques using adaptive technologies to support students’ cognitive learning in STEM domains, and use participatory and learning analytics approaches to understand how learning happens. My research has discovered, among others:
- A scaffolded self-explanation activity with diagrams in intelligent tutoring software supports effective and efficient algebra learning
- A playful learning experience with drag-and-drop interaction and gamification features in intelligent tutoring software supports engaging and effective algebra learning during remote schooling
I envision the future of learning research where we will have an ecosystem that systematically allows researchers and practitioners (e.g., educators, parents, and children) to jointly conduct learning research that informs both learning theories and practice.
Design and evaluation of learning analytics tools
I work with educators and students to co-design and evaluate reflection tools (e.g., learning analytics dashboards) to support teaching and learning
Open Educational Resources (OER)
I work with policy researchers, education researchers, and practitioners to develop policies, strategies, and materials that promote equitable access to education.