LabCompass

Rachael H. Kenney

Social Sciences · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2004
Mathematics Education and Teaching TechniquesCognitive and developmental aspects of mathematical skillsInnovative Teaching and Learning MethodsStatistics Education and MethodologiesEducational Assessment and Improvement

Publications

31

Citations

291

Est. group size

~1

Recurring co-author estimate

Active years

22

Publishing since 2004

Research summary
AI-generated

Rachael H. Kenney's work focuses on mathematics education, particularly how students—including English Language Learners—understand and work with mathematical language, symbols, and word problems. Her research examines common errors and difficulties students encounter in translating between everyday language and mathematical notation, especially in engineering and secondary school contexts. This work aims to inform teaching approaches that better integrate language and content instruction.

Mathematics educationLanguage and symbol sense in math problemsEnglish Language Learners in STEM educationWord problem comprehension and errorsContent-language integration in teaching

Publication activity has been modest and fairly steady over the last decade, with a notable cluster of outputs in 2019 followed by a slower, consistent pace of about one publication per year in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
17182019: 4 publications419202021: 1 publication212022: 1 publication222023: 2 publications232024: 1 publication242025: 1 publication2526
Recent publications
Publishes in
  • English language education×2
  • Educational Research Review×1
  • Computers in Human Behavior×1
  • Journal for Research in Mathematics Education×1
  • The Journal of Mathematical Behavior×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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