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Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses

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Collaboration Technologies and Social Computing (CollabTech 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13632))

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Abstract

The perception of e-learning and online courses by students can provide valuable insights into course design and user experience. The online landscape is changing and students experience a growing variety of digital educational materials. One of the experiences are expectations (ex-ante perception) and consumption experience (ex-post perception). They can be evaluated individually as well as in relation to each other. Educational data is typically multivariate and of high dimensionality. The implementation of online courses is often costly, the experimental setup is complex, and management needs technical expertise. For this research, an undergraduate-level online course was set up, which was taken and assessed by students. Using ex-ante and ex-post questionnaire evaluations, a shift in perception of several online course features could be observed. The data was analyzed using the Kano method to measure student satisfaction. Attitudes towards 12 features, including ease of use, multimedia inclusion, account settings, and other specific features were gathered before and after taking the online course. The results of the macro shift (expectations vs. consumption experience) and micro shift (individual student’s shift within a requirement) were compared. Findings are discussed and implications for online course preparation and design are presented.

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Notes

  1. 1.

    The website framework and plugins can be found at the following URLs: https://wordpress.org, https://www.learndash.com, and https://memberpress.com.

  2. 2.

    From several questions written by this student in the open-ended question section, the authors could infer an English comprehension of basic rather than none.

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Acknowledgements

This research was supported by JSPS KAKENHI Grant Number 22K02874.

Author information

Authors and Affiliations

  1. Ritsumeikan University, College of Global Liberal Arts, 2-150 Iwakura-cho, Osaka, Ibaraki, 567-8570, Japan

    Daniel Moritz Marutschke

  2. Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian Province, China

    Daniel Moritz Marutschke

  3. Ritsumeikan University, 2-150 Iwakura-cho, Osaka, Ibaraki, 567-8570, Japan

    Yugo Hayashi

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  1. Daniel Moritz Marutschke
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Correspondence to Daniel Moritz Marutschke .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Lung-Hsiang Wong

  2. Ritsumeikan University, Osaka, Japan

    Yugo Hayashi

  3. Universidad del Cauca, Popayán, Colombia

    Cesar A. Collazos

  4. Universidad de Los Andes, Santiago, Chile

    Claudio Alvarez

  5. University of Chile, Santiago, Chile

    Gustavo Zurita

  6. University of Chile, Santiago, Chile

    Nelson Baloian

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Marutschke, D.M., Hayashi, Y. (2022). Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses. In: Wong, LH., Hayashi, Y., Collazos, C.A., Alvarez, C., Zurita, G., Baloian, N. (eds) Collaboration Technologies and Social Computing. CollabTech 2022. Lecture Notes in Computer Science, vol 13632. Springer, Cham. https://doi.org/10.1007/978-3-031-20218-6_8

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  • DOI: https://doi.org/10.1007/978-3-031-20218-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20217-9

  • Online ISBN: 978-3-031-20218-6

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