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Tapping into Student Behavior Insights tool to detect struggle in CS programming assignments

Abstract Over the past decade, academic integrity has been an important consideration for computer science courses. Although there is vast research on mitigating cheating, tapping into student behavior that leads to cheating provides the opportunity to intervene early and has a positive impact on student learning. To further complicate this, AI is transforming the learning […]

Engineering

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Tapping into Student Behavior Insights tool to detect struggle in CS programming assignments

Abstract Over the past decade, academic integrity has been an important consideration for computer science courses. Although there is vast research on mitigating cheating, tapping into student behavior that leads to cheating provides the opportunity to intervene early and has a positive impact on student learning. To further complicate this, AI is transforming the learning […]

Positive Student Impacts of an Unlimited, Randomized Self-Assessment Quiz Per Chapter: Study Habits, Self-Efficacy, and Learning Outcomes

Abstract Many introductory computer science and engineering students excessively struggle with course content, leading to reduced self-efficacy, learning outcomes, and retention in the major. Since engineering concepts build upon earlier material, developing a strong foundation with earlier material is key to reducing excessive struggle with later material. Research shows that enabling a student to assess […]

Optimizing auto-graded programming activities: A data-driven approach for presenting assessments in a scaffolded format.

Abstract Research has shown that in introductory programming courses, breaking complex concepts into smaller, manageable units is highly effective. Additionally, using scaffolding techniques helps learners progressively develop programming skills. However, determining the appropriate size of each conceptual unit depends on factors such as the learners’ aptitude and experience. In this paper, we present a data-driven […]

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Academic Integrity

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