Autogeneration of Explanatory Math Animation

Tzung Sheng Yang*, Wei Chia Huang, I. Wei Lai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to the advancement of communication technologies and digital devices, online learning has become pervasive nowadays. Everyone can easily learn by themselves with the aid of explanatory videos and animations. However, the conventional man-made production of such videos/animations is time-consuming and the quality highly depends on the production cost. In this work-in-progress paper, we propose a prototype of the technology that automatically generates explanatory math animation (EMA) for K-12 education. Such framework can greatly reduce the production cost and provide high-quality explanatory animations.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages727-728
Number of pages2
ISBN (Electronic)9781665491174
DOIs
Publication statusPublished - 2022
Event11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022 - Virtual, Online, Hong Kong
Duration: 2022 Dec 42022 Dec 7

Publication series

NameProceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022

Conference

Conference11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
Country/TerritoryHong Kong
CityVirtual, Online
Period2022/12/042022/12/07

Keywords

  • digital learning
  • explanatory math animation
  • multimedia learning
  • video generating
  • web-based learning tool

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Networks and Communications
  • Engineering (miscellaneous)
  • Education
  • Communication

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