Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditional and virtual classroom higher education settings
ARTICLE
Alfred P. Rovai, Mervyn J. Wighting, Jason D. Baker, Linda D. Grooms
Internet and Higher Education Volume 12, Number 1, ISSN 1096-7516 Publisher: Elsevier Ltd
Abstract
The purpose of this study was to develop and validate a self-report instrument that can be used to measure learning in the cognitive, affective, and psychomotor domains. The study underwent three phases, each with its own data collection and analysis. Phase I featured the development, testing, and factor analysis of an 80-item instrument that addressed cognitive, affective, and psychomotor learning that was administered to a sample of 142 online and face-to-face learners. Based on the results, the instrument was reduced to 21 items for Phase II and tested with a new sample of 171 online and face-to-face students. The results of confirmatory factor analysis suggested a better data fit with an even smaller 9-item instrument, which was then administered to a new sample of 221 online and face-to-face students in Phase III. The results of this final phase are presented along with the resulting CAP Perceived Learning Scale, a 9-item self-report measure of perceived cognitive, affective, and psychomotor learning. Implications and usage of the CAP Perceived Learning Scale for research and practice are also discussed.
Citation
Rovai, A.P., Wighting, M.J., Baker, J.D. & Grooms, L.D. (2009). Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditional and virtual classroom higher education settings. Internet and Higher Education, 12(1), 7-13. Elsevier Ltd. Retrieved August 15, 2024 from https://www.learntechlib.org/p/105505/.
This record was imported from
Internet and Higher Education
on January 29, 2019.
Internet and Higher Education is a publication of Elsevier.
Keywords
- affective learning
- Cognitive learning
- College Instruction
- Computer Assisted Instruction
- distance education
- educational technology
- electronic learning
- Factor Analysis
- Factor Structure
- higher education
- Instructional Effectiveness
- internet
- Measurement Techniques
- Measures (Individuals)
- online courses
- Outcomes of Education
- perceived learning
- Psychometrics
- Psychomotor learning
- Self Evaluation (Individuals)
- Test Construction
- Test Validity
- Virtual Classrooms
- Web Based Instruction
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