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Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis.

, , , , and . EDM, page 370-375. International Educational Data Mining Society (IEDMS), (2016)

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Design and architecture of an interactive eTextbook – The OpenDSA system, , , , , , and . Science of Computer Programming, (August 2014)Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course., , and . LAK, page 378-387. ACM, (2023)Analysis of interaction logs for online tutorials (abstract only)., , , and . SIGCSE, page 709. ACM, (2014)Pass Rates in STEM Disciplines Including Computing., , , , , , , , and . ITiCSE, page 267-268. ACM, (2019)Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course., , , and . LAK, page 35-45. ACM, (2024)Experience: Learner Analytics Data Quality for an eTextbook System., , , , and . ACM J. Data Inf. Qual., 9 (2): 10:1-10:10 (2018)Pass Rates in Introductory Programming and in other STEM Disciplines., , , , , , , , and . ITiCSE-WGR, page 53-71. ACM, (2019)Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming., , , and . SIGCSE (1), page 214-220. ACM, (2024)Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis., , , , and . EDM, page 370-375. International Educational Data Mining Society (IEDMS), (2016)Evaluating Online Tutorials for Data Structures and Algorithms Courses, , , , and . Proceedings of the 2013 ASEE Annual Conference & Exposition, ASEE, (2013)