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Direct linkDebora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Vieira, Camilo; Magana, Alejandra J.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2019
Creating explanations is an important process for students, not only to make connections between novel information and background knowledge, but also to be able to communicate their understanding of any given topic. This article explores students' explanations in the context of computational science and engineering, an important interdisciplinary…
Descriptors: Student Attitudes, Comprehension, Computation, Programming
Peer reviewedMerrill, Douglas C.; And Others – Cognition and Instruction, 1995
Examined the effects of tutoring on college students' ability to learn a computer programming language in order to characterize effective tutor behaviors. Found that successful tutors took a very active role in leading problem-solving by offering confirmatory feedback and additional guidance while students were on profitable paths and error…
Descriptors: College Students, Experiential Learning, Feedback, Higher Education
Peer reviewedBielaczyc, Katerine; And Others – Cognition and Instruction, 1995
Presents ongoing research for constructing formal models of learning in rich problem-solving domains. The underlying framework for the research is aimed at integrating models of active, goal-oriented learning processes with theories of problem-solving and cognitive skill development. Indicates that the particular self-explanation and…
Descriptors: Cognitive Processes, Learning Processes, Learning Strategies, Learning Theories
