Jane Blunt

Cognitive Neuroscience · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jane Blunt trusts overall

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

  1. Jeffrey D. Karpicke
  2. Geoff Cumming
  3. Joseph D. Novak
  4. Franklin Zaromb
  5. P. Lachenbruch
  6. Ken Kelley

Who trusts Jane Blunt overall

  1. Aloysius Jia Lun Koh
  2. Michelle L. Rivers
  3. Sze Chi Lee
  4. Noah L. Schroeder
  5. Stephen Wee Hun Lim

Papers from Jane Blunt's perspective

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

  1. Retrieval-Based Learning: A Perspective for Enhancing Meaningful Learning
  2. Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis
  3. Retrieval Mode Distinguishes the Testing Effect from the Generation Effect.
  4. Elements Of Episodic Memory
  5. Test-Enhanced Learning in a Middle School Science Classroom: The Effects of Quiz Frequency and Placement.
  6. The effect of testing versus restudy on retention: a meta-analytic review of the testing effect. (Psychological bulletin)
  7. The Exam-A-Day Procedure Improves Performance in Psychology Classes
  8. Learning considered within a cultural context. Confucian and Socratic approaches. (American Psychologist)
  9. Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
  10. Retrieving Essential Material at the End of Lectures Improves Performance on Statistics Exams

Their papers