Post-Doctorate scholars, research scientists, and alumni

Ji-EuN Lee

Ji-Eun is a Research Scientist of Learning Sciences & Technologies at WPI. Her research interests are largely directed towards applying learning analytics and educational data mining techniques to improve instructional design and student success in mathematics education. She examines data models to produce algorithms that identify student behaviors and mathematical strategies that predict learning outcomes and engagement in FH2T. She received her Ph.D. in Instructional Technology and Learning Sciences from Utah State University.


Google Scholar

Research Gate

ORCID ID - 0000-0001-8521-8997

puyuan zhang

Puyuan is a Postdoctoral Research Fellow in Learning Sciences & Technologies at WPI.Her research interests focus on the cognitive mechanisms underlying human learning. Employing behavioral and eye-tracking techniques, Puyuan investigates how multiple top-down (e.g., executive function and memory retrieval) and bottom-up (e.g., perceptual learning) cognitive processes interactively underpin mathematics problem-solving. She received her Ph.D. in Speech and Hearing Sciences at the University of Hong Kong.

Research Gate

ORCID ID - 0000-0003-3217-2870

Jenny Yun-Chen CHAN

In Fall 2022, Jenny moved to The Education University of Hong Kong! She is still collaborating with us at MAPLE :) 

Jenny's research examines the mechanisms and the cognitive processes involved in mathematical development. The first line of her work focuses on the effects of perceptual and contextual features in the environment on learning mathematics. The second line of her work investigates the influences of language and executive function skills on mathematical thinking and development. Through her research, she aims to contribute to the efforts in delineating the developmental pathways to mathematical thinking, and inform practices to better support learning and development. 

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allison liu

In Fall 2023, Allison became a Senior Evaluation Specialist at Lexia Learning. She is still collaborating with us at MAPLE :) 

Allison's research investigates individual and task factors that influence STEM learning across the lifespan, with the goal of informing effective learning practices and interventions. Her work focuses on the cognitive and motivational factors that influence learning and engagement, and the learner characteristics and task features that influence how people interact with learning environments. She received her PhD in Cognitive Psychology with a concentration in Cognitive Neuroscience from the University of Pittsburgh.

Google Scholar

ORCID ID: 0000-0003-1075-2575