Research Library
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We unpacked the differences in learning between time spent learning and time spent coding.
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We investigated the motivators and consequences of computing students' use of Generative AI in their university education.
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We applied insights from cybersecurity executives to align educational and training programs with industry needs and expectations.
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We investigated to create a set of students' most frequent and most difficult-to-resolve errors across programming languages.
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We delved into the critical challenges faced by coding bootcamps in the rapidly evolving tech industry.
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How time-on-task can predict student performance in CS courses.
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We surveyed college level computing students to investigate their perceptions and use of Gen AI.
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We surveyed 193 students about their experiences with nine mastery-based learning practices in their computing courses.
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Online virtual Linux boxes and automated formative feedback.
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How CS higher education faculty adopt pedagogical interventions in higher education.
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How are students overcoming struggles as they learn to program?
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Which Predicts Implementation of Research-based Pedagogy by CS Educators?
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Pedagogical practices in the U.S.
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Challenges and resources in US colleges and universities.
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