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Educational Psychology Review3(3) (Sep 1991)

3 Pith papers cite this work, alongside 2,052 external citations. Polarity classification is still indexing.

3 Pith papers citing it
2,052 external citations · OpenAlex

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2026 3

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representative citing papers

ANVIL: Analogies and Videos for Lecturers

cs.CY · 2026-04-15 · unverdicted · novelty 6.0

ANVIL automates analogy-based instructional animations for computer science by chaining LLM analogy generation, screenplay structuring, manim code production with repair, and mixed human-automated evaluations.

Sketch Bug: Using Sketch-Based Input for Interactive Code Debugging

cs.HC · 2026-05-22 · unverdicted · novelty 4.0

A controlled user study with 24 programmers shows sketch-based pen input can handle breakpoint setting, step execution, and state inspection in debugging, though precision, recognition, and recall remain challenges.

AI-Generated Slides: Are They Good? Can Students Tell?

cs.AI · 2026-05-13 · accept · novelty 4.0

Coding-assistant AI tools generate slides that educators judge accurate and pedagogically sound, students rate them equal to instructor slides, and cannot reliably identify them as AI-generated.

citing papers explorer

Showing 3 of 3 citing papers.

  • ANVIL: Analogies and Videos for Lecturers cs.CY · 2026-04-15 · unverdicted · none · ref 8

    ANVIL automates analogy-based instructional animations for computer science by chaining LLM analogy generation, screenplay structuring, manim code production with repair, and mixed human-automated evaluations.

  • Sketch Bug: Using Sketch-Based Input for Interactive Code Debugging cs.HC · 2026-05-22 · unverdicted · none · ref 8

    A controlled user study with 24 programmers shows sketch-based pen input can handle breakpoint setting, step execution, and state inspection in debugging, though precision, recognition, and recall remain challenges.

  • AI-Generated Slides: Are They Good? Can Students Tell? cs.AI · 2026-05-13 · accept · none · ref 2

    Coding-assistant AI tools generate slides that educators judge accurate and pedagogically sound, students rate them equal to instructor slides, and cannot reliably identify them as AI-generated.