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Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses.

, , , , and . SIGCSE, page 112-118. ACM, (2019)

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BDSI: A Validated Concept Inventory for Basic Data Structures., , , , , , and . ICER, page 111-119. ACM, (2019)Classroom experience report on jigsaw learning., , and . ITiCSE, page 302-307. ACM, (2018)Taxonomizing features and methods for identifying at-risk students in computing courses., , , , , , , , , and . ITiCSE, page 364-365. ACM, (2018)Lightweight, Early Identification of At-Risk CS1 Students., , , , and . ICER, page 123-131. ACM, (2016)Using Validated Assessments to Learn About Your Students., , , , , and . SIGCSE, page 1366. ACM, (2021)Behaviors of Higher and Lower Performing Students in CS1., , , , , , and . ITiCSE, page 196-202. ACM, (2019)Early Identification of At-risk Students and Understanding Their Behaviors.. University of California, San Diego, USA, (2019)Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses., , , , and . SIGCSE, page 112-118. ACM, (2019)Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence., , , and . ITiCSE (1), page 457-463. ACM, (2021)Creating Safe Spaces for Instructor Identity in Computing., , , , and . SIGCSE (2), page 1196-1197. ACM, (2023)