Yu-Ping Chang
Education · 2021
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Education — 21 citations into it
- Experimental and Cognitive Psychology — 12 citations into it
- Developmental and Educational Psychology — 10 citations into it
- Social Psychology — 7 citations into it
- Statistics and Probability — 7 citations into it
Whom Yu-Ping Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Werner Blum
- S. Schukajlow
- Laura M. Stapleton
- Gabriele Kaiser
- Johanna Rellensmann
- Wolfgang Schnotz
- Judith M. Harackiewicz
- David H. Palmer
- Maximilian Knogler
- Suzanne Hidi
Papers from Yu-Ping Chang's perspective
Ordered by how strongly the researchers Yu-Ping Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- A global survey of international perspectives on modelling in mathematics education
- Can Modelling Be Taught and Learnt? Some Answers from Empirical Research
- Modelling Competencies: Past Development and Further Perspectives
- Empirical research on teaching and learning of mathematical modelling: a survey on the current state-of-the-art
- The Four-Phase Model of Interest Development
- Supporting interest of middle school students in mathematics through context personalization and example choice
- How situational is situational interest? Investigating the longitudinal structure of situational interest
- Student interest generated during an inquiry skills lesson
- Interest Matters: The Importance of Promoting Interest in Education (Policy Insights from the Behavioral and Brain Sciences)
- Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations