Development of the Cognitive Programming Engagement (CPE) Scale: A Learning Strategy

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Detalles Bibliográficos
Publicado en:	Journal of Information Systems Education vol. 36, no. 4 (Fall 2025), p. 400-417
Autor principal:	Mahatanankoon, Pruthikrai
Otros Autores:	Wolf, James R
Publicado:	EDSIG
Materias:	National Survey of Student Engagement Measures Attrition Mathematics Science and technology Classification College students Blooms taxonomy Cognitive development Student participation Classroom communication Taxonomy Test validity and reliability Cognition Teachers Strategies Artificial intelligence Computers Reflective teaching Computer mediated communication Predictive validity Information technology Learning Students Computer programming Visualization Deep learning Teaching Success Communications technology STEM education Learning strategies Teaching methods Skills Memorization Self-efficacy Advanced Courses Critical Thinking Attrition (Research Studies) Cognitive Processes Academic Achievement College Entrance Examinations Majors (Students) Learner Engagement Educational Strategies Low Achievement Accreditation (Institutions) High Achievement Instructional Innovation Influence of Technology Learning Processes Educational Technology Student Experience Engineering Technology Computer Science Cognitive Measurement Information Systems Educational Experience Higher Education
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Descripción
Resumen:	Advances in information and communication technologies (ICT) coupled with artificial intelligence have made computer programming skills indispensable for IT majors and for an increasing number of other science, technology, engineering, and mathematics (STEM) disciplines. Like any hands-on skill, mastering computer programming requires dedicated time, patience, focus, and persistent effort. Understanding students' learning strategies as they engage in computer programming activities can reduce attrition and lay a solid foundation for a successful career in IT/STEM disciplines. This paper focuses on developing the cognitive programming engagement (CPE) scale, which builds on existing cognitive engagement measures. Self-reported data from undergraduate IT students who are learning computer programming show that CPE supports four-dimensional learning strategies: memorization, practice, analysis, and visualization, which aligns with the levels of Bloom's Taxonomy. The new scale supports confirmatory, discriminant, and predictive validity and tests on programming self-efficacy and coding grit with acceptable predictive validity. IT/STEM educators can use the scale to assess and evaluate students" learning and improve their teaching strategies.
ISSN:	1055-3096 2574-3872 1055-3104
DOI:	10.62273/KJKC8408
Fuente:	ABI/INFORM Global