LabCompass

Ana Bell

Computer Science · The Ohio State University

Established · publishing since 1985

Publications

15

Citations

56

Est. group size

Recurring co-author estimate

Active years

40

Publishing since 1985

Research summary
AI-generated

Ana Bell studies how students learn computer science and programming in large online courses (MOOCs), using data such as forum discussions, code submissions, and demographic information to understand learner behavior. Her work examines topics like problem-solving patterns, engagement, prior knowledge, and the effects of external factors such as COVID-19 on learning outcomes. This research combines education research with computational methods like natural language processing to analyze student data at scale.

Online learning and MOOCsComputer science educationLearning analytics and natural language processingStudent problem-solving and engagementImpact of external factors (e.g., COVID-19) on learning

Publication output has been modest and fairly steady over the past five years, averaging about one paper per year, following a small peak of three to four papers around 2019-2020.

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: 3 publications192020: 4 publications4202021: 1 publication212022: 2 publications222023: 2 publications232024: 1 publication242526
Publishes in
  • Frontiers in Education×1
  • Cancer Epidemiology Biomarkers & Prevention×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 19, 2026.

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