Autogeneration of Explanatory Math Animation

Tzung Sheng Yang; Wei Chia Huang; I. Wei Lai

doi:10.1109/TALE54877.2022.00128

Autogeneration of Explanatory Math Animation

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

^*Corresponding author for this work

National Taiwan Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	727-728
Number of pages	2
ISBN (Electronic)	9781665491174
DOIs	https://doi.org/10.1109/TALE54877.2022.00128
State	Published - 2022
Externally published	Yes
Event	11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022 - Virtual, Online, Hong Kong Duration: 04 12 2022 → 07 12 2022

Publication series

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

Conference

Conference	11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022
Country/Territory	Hong Kong
City	Virtual, Online
Period	04/12/22 → 07/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

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

Access to Document

10.1109/TALE54877.2022.00128

Cite this

Yang, T. S., Huang, W. C., & Lai, I. W. (2022). Autogeneration of Explanatory Math Animation. In Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022 (pp. 727-728). (Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE54877.2022.00128

Yang, Tzung Sheng ; Huang, Wei Chia ; Lai, I. Wei. / Autogeneration of Explanatory Math Animation. Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 727-728 (Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022).

@inproceedings{b1edddc5c1b041d4844bda1f8cabbe74,

title = "Autogeneration of Explanatory Math Animation",

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.",

keywords = "digital learning, explanatory math animation, multimedia learning, video generating, web-based learning tool",

author = "Yang, \{Tzung Sheng\} and Huang, \{Wei Chia\} and Lai, \{I. Wei\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022 ; Conference date: 04-12-2022 Through 07-12-2022",

year = "2022",

doi = "10.1109/TALE54877.2022.00128",

language = "英语",

series = "Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "727--728",

booktitle = "Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022",

address = "美国",

}

Yang, TS, Huang, WC & Lai, IW 2022, Autogeneration of Explanatory Math Animation. in Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022. Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 727-728, 11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022, Virtual, Online, Hong Kong, 04/12/22. https://doi.org/10.1109/TALE54877.2022.00128

Autogeneration of Explanatory Math Animation. / Yang, Tzung Sheng; Huang, Wei Chia; Lai, I. Wei.
Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 727-728 (Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lai, I. Wei

PY - 2022

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N2 - 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.

AB - 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.

KW - digital learning

KW - explanatory math animation

KW - multimedia learning

KW - video generating

KW - web-based learning tool

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U2 - 10.1109/TALE54877.2022.00128

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M3 - 会议稿件

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022

Y2 - 4 December 2022 through 7 December 2022

ER -

Yang TS, Huang WC, Lai IW. Autogeneration of Explanatory Math Animation. In Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 727-728. (Proceedings - 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022). doi: 10.1109/TALE54877.2022.00128

Autogeneration of Explanatory Math Animation

Abstract

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Bibliographical note

Keywords

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