Efficient Explanatory Math Animation Generating with the Integration of the Step-by-step Solver

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

*Corresponding author for this work

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

Abstract

Due to the development of digital learning, instructional videos become a popular method for self-study. To reduce the time cost of producing instructional videos, a system for generating instructional videos automatically has been proposed. However, the types of explanatory math animation (EMA) generated from the system are limited, and the animation template design is also time-consuming. In this paper, we propose the technology for generating EMA by using the solution steps analyzed from the step-by-step solver. This framework can greatly reduce the time cost of the animation template design and can generate more various EMAs.

Original languageEnglish
Title of host publication2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages785-786
Number of pages2
ISBN (Electronic)9798350324174
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
Duration: 2023 Jul 172023 Jul 19

Publication series

Name2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/TerritoryTaiwan
CityPingtung
Period2023/07/172023/07/19

Keywords

  • digital learning
  • explanatory math animation
  • multimedia learning
  • step-by-step solver
  • video generating

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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