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PERFLECT
- Source :
- TechTrends, 63(4), 420-427. Springer, TechTrends, 63(4), 420-427. Springer New York, Beckers, J, Dolmans, D & Van Merriënboer, J 2019, ' PERFLECT: Design and Evaluation of an Electronic Development Portfolio Aimed at Supporting Self-Directed Learning ', TechTrends, vol. 63, no. 4, pp. 420-427 . https://doi.org/10.1007/s11528-018-0354-x
- Publication Year :
- 2019
- Publisher :
- Springer, 2019.
-
Abstract
- This design case describes the blueprints of an electronic development portfolio (PERFLECT) aimed at supporting the development of self-directed learning skills, including self-assessment of performance on learning tasks, formulation of points for improvement and future learning task selection. The design is described both in terms of theoretical foundation and practical characteristics. As part of the design process a small-scale evaluation study with 22 students of senior vocational education was conducted. Students hold positive perceptions about PERFLECT's ability to help them self-assess their performance on learning tasks and formulate points for improvement. Furthermore, they were also satisfied with PERFLECTs usability and user-friendliness. However, students request a simplification of language use and need more support and guidance with the selection of criteria for performance assessment. Suggestions for improvement will be incorporated in the next iteration of the design. PERFLECT is a promising, user-friendly tool to support students' development of SDL skills.
- Subjects :
- Computer science
050801 communication & media studies
STUDENTS
Task (project management)
0508 media and communications
Independent study
business.industry
05 social sciences
Second-order scaffolding
Educational technology
050301 education
Usability
EDUCATION
Self-directed learning
PERFORMANCE
Electronic development portfolio
Computer Science Applications
Engineering management
Vocational education
Autodidacticism
Portfolio
Engineering design process
business
0503 education
Subjects
Details
- Language :
- English
- ISSN :
- 87563894
- Volume :
- 63
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- TechTrends
- Accession number :
- edsair.doi.dedup.....5efef49d5827a6d32ed178f8ce713ef0