Abstract
Interest influences adults’ and young learners’ learning in formal and informal contexts. Although interest and interest development frameworks have been used in research on student-learning, they are not used in teacher-focused research, especially as “outcomes” of teacher professional development (PD) activities. In this study, we used interest development as the outcome of PD in computer science (CS) and investigated the factors that influenced teachers’ (n = 5) interest development toward CS using various data sources and analysis methods. We found that interest development is (a) varied, (b) influenced by self-relation, knowledge, and affect, (c) associated with reengagement with PD activities, and (d) it can be captured using computational text analysis methods and online log data.
Original language | English |
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Article number | 188 |
Journal | Education Sciences |
Volume | 13 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2023 |
Scopus Subject Areas
- Computer Science (miscellaneous)
- Education
- Physical Therapy, Sports Therapy and Rehabilitation
- Developmental and Educational Psychology
- Public Administration
- Computer Science Applications
Keywords
- computational text analysis
- interest
- interest development
- teacher professional development