E. L. Aschim

Journal of Research in Science Teaching · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom E. L. Aschim trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Graham R. Gibbs (in Artificial Intelligence)

Papers from E. L. Aschim's perspective

Ordered by how strongly the researchers E. L. Aschim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Socioscientific issues: Theory and practice
  2. Re-examining pedagogical content knowledge in science education
  3. What Do Students Gain by Engaging in Socioscientific Inquiry?
  4. Curriculum Materials as a Professional Development Tool: How a Mathematics Textbook Affected Two Teachers' Learning (The Elementary school journal)
  5. A general inductive approach for qualitative data analysis
  6. Verification Strategies for Establishing Reliability and Validity in Qualitative Research
  7. Thematic Coding and Categorizing
  8. NGSS and the Next Generation of Science Teachers
  9. Analysing Qualitative Data: More Than 'Identifying Themes'
  10. From Professional Knowledge to Professional Performance: The Impact of CK and PCK on Teaching Quality in Explaining Situations.

Their papers