The evaluation on the usability of digital storytelling teaching system in teaching

Pei Fen Wu, Hui Jiun Hu, Feng Chu Wu, Kuang Yi Fan

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

Abstract

In the conception of stories, most beginners create stories at their will, which would result in a poor architecture. At present, few digital storytelling systems have been developed to lead beginners to stories featuring a complete structure. With emphasis on story structure, this study aims to develop a digital storytelling system, Digital Storytelling Teaching System-University (DSTS-U). With the system, learners will be able to quickly create stories with a structural architecture and enhance the variation of the contents of stories through different story structures. Moreover, this study probes into the usability of the system from three dimensions, namely, teaching environment assessment, system features evaluation, and self-story assessment. The subjects of this study were 40 college students who were all beginners, including 21 males and 19 females. The experiment lasted for four weeks. According to the research findings, the experts made positive comments on the teaching environment the DSTS-U system provided for learners. This indicates that learners can create a structural story and acquire more knowledge of story concept with the DSTS-U system. Additionally, positive comments were also made on user’s system function features evaluation as well as on self-story satisfaction. For users, the DSTS-U system is an efficient tool to develop stories in a profound way. Therefore, this study has come to the conclusion that the story structure-led teaching model is necessary. By acquiring the knowledge of the structural story concept, learners can generate a structural story from a basic structural architecture with the help of different variation-oriented structures, so as to enrich the contents of stories.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies
Subtitle of host publicationTechnology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou
PublisherSpringer Verlag
Pages473-487
Number of pages15
ISBN (Print)9783319585147
DOIs
Publication statusPublished - 2017 Jan 1
Event4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada
Duration: 2017 Jul 92017 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10296 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
CountryCanada
CityVancouver
Period17-07-0917-07-14

Fingerprint

Storytelling
Usability
Teaching
Evaluation
Narrative
Lead
Students

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wu, P. F., Hu, H. J., Wu, F. C., & Fan, K. Y. (2017). The evaluation on the usability of digital storytelling teaching system in teaching. In P. Zaphiris, & A. Ioannou (Eds.), Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings (pp. 473-487). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10296 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58515-4_36
Wu, Pei Fen ; Hu, Hui Jiun ; Wu, Feng Chu ; Fan, Kuang Yi. / The evaluation on the usability of digital storytelling teaching system in teaching. Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings. editor / Panayiotis Zaphiris ; Andri Ioannou. Springer Verlag, 2017. pp. 473-487 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Wu, PF, Hu, HJ, Wu, FC & Fan, KY 2017, The evaluation on the usability of digital storytelling teaching system in teaching. in P Zaphiris & A Ioannou (eds), Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10296 LNCS, Springer Verlag, pp. 473-487, 4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017, Vancouver, Canada, 17-07-09. https://doi.org/10.1007/978-3-319-58515-4_36

The evaluation on the usability of digital storytelling teaching system in teaching. / Wu, Pei Fen; Hu, Hui Jiun; Wu, Feng Chu; Fan, Kuang Yi.

Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings. ed. / Panayiotis Zaphiris; Andri Ioannou. Springer Verlag, 2017. p. 473-487 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10296 LNCS).

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

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Wu PF, Hu HJ, Wu FC, Fan KY. The evaluation on the usability of digital storytelling teaching system in teaching. In Zaphiris P, Ioannou A, editors, Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings. Springer Verlag. 2017. p. 473-487. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-58515-4_36