Gobert, Janice D.

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020) · Frontiers in Psychology

Artificial Intelligence in EducationOnline Learning and Analytics

Cited by 667

From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining

Gobert, J. D., Sao Pedro, M., Raziuddin, J., & Baker, R. S. (2013) · Journal of the Learning Sciences

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 210

Leveraging educational data mining for real-time performance assessment of scientific inquiry skills within microworlds.

Gobert, J. D., Sao Pedro, M. A., Baker, R. S. J. D., Toto, E., & Montalvo, O. (2012) · Zenodo

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 122

Automated scoring in intelligent tutoring systems

Mislevy, R. J., Yan, D., Gobert, J., & Pedro, M. S. (2020) · Handbook of Automated Scoring

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 26

Cycles of Exploration, Reflection, and Consolidation in Model-Based Learning of Genetics

Kim, B., Pathak, S. A., Jacobson, M. J., Zhang, B., & Gobert, J. D. (2015) · Journal of Science Education and Technology

Science Education and PedagogyEvolution and Science Education

Cited by 19

Digital assessment environments for scientific inquiry practices

Gobert, J. D., & Sao Pedro, M. A. (2016) · The Handbook of Cognition and Assessment

Intelligent Tutoring Systems and Adaptive LearningScience Education and Pedagogy

Cited by 14