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Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement.

, , , , and . EDM, page 85-92. International Educational Data Mining Society (IEDMS), (2015)

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Comparing Expert and Metric-Based Assessments of Association Rule Interestingness., , and . EDM, page 44-51. International Educational Data Mining Society (IEDMS), (2014)Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement., , , , and . EDM, page 85-92. International Educational Data Mining Society (IEDMS), (2015)Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software., , , and . EDM, page 276-279. International Educational Data Mining Society (IEDMS), (2014)Achievement versus Experience: Predicting Students' Choices during Gameplay., , , , and . EDM, page 564-565. International Educational Data Mining Society (IEDMS), (2015)Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes., , , , and . J. Learn. Anal., 1 (1): 107-128 (May 2014)Assessing the Roles of Student Engagement and Academic Emotions within Middle School Computer-Based Learning in College-Going Pathways.. EDM, page 656-658. International Educational Data Mining Society (IEDMS), (2015)An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance., , and . Technol. Knowl. Learn., 22 (3): 243-270 (2017)The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System., , , , , , and . IEEE Trans. Affect. Comput., 3 (2): 224-236 (2012)Editorial: Beyond Cognitive Ability., , , , and . J. Learn. Anal., (March 2020)Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system?, , , and . LAK, page 36-40. ACM, (2015)