Copertina

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

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Pubblicato in:Journal of Information Systems Education vol. 36, no. 4 (Fall 2025), p. 400-417
Autore principale: Mahatanankoon, Pruthikrai
Altri autori: Wolf, James R
Pubblicazione:
EDSIG
Soggetti:
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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Abstract: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
Fonte:ABI/INFORM Global