Introductory statistics courses require instructors to convey mathematical and analytical concepts clearly, engagingly, and incrementally. Traditionally, -generated slides are widely used due to their precision and readability, yet these presentations often struggle to maintain student attention and replicate the natural cognitive pacing provided by handwritten blackboard explanations. To bridge this pedagogical gap, we propose a rule based method to animate statistical lecture slides by closely emulating the incremental writing sequence found in traditional handwriting.

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Decision Rules for Replicating the Visual Learning of the Blackboard in Digital Presentations

  • Alejandro Torres-García,
  • Susana Díaz-Vázquez,
  • Emilio Torres-Manzanera,
  • Susana Montes

摘要

Introductory statistics courses require instructors to convey mathematical and analytical concepts clearly, engagingly, and incrementally. Traditionally, -generated slides are widely used due to their precision and readability, yet these presentations often struggle to maintain student attention and replicate the natural cognitive pacing provided by handwritten blackboard explanations. To bridge this pedagogical gap, we propose a rule based method to animate statistical lecture slides by closely emulating the incremental writing sequence found in traditional handwriting.