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Models for data from learning and assessment have significantly diverged from each other over the past few decades. This project will explore the development of methodology at the intersection of learning and assessment. This includes psychometric models and machine learning based approaches for assessment of complex skills such as collaborative problem solving and remediation/learning strategies in a broad array of learning environments, including but not limited educational games and simulations.
Typical work-related activities (depending on intern’s background) include:
Applications will be reviewed on a rolling basis. Applications are accepted until the position is filled.
PhD candidate in field related to computational statistics. Psychometrics, Educational Measurement, Computer Science, Statistics, Biostatistics, or another similar field.