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Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach

Authors:

Paula Palomino,

Luiz Rodrigues,

Lei ShiAuthors Info & Claims

CHI PLAY '19 Extended Abstracts: Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts

Pages 581 - 588

https://doi.org/10.1145/3341215.3356311

Published: 17 October 2019 Publication History

Abstract

Flow is a state of deep engagement that is highly related to the learning experiences. One of the biggest challenges in this field is to provide automatic and implicit students' flow experience identification in educational systems, contributing to the educational systems design and evaluation improvement. In this paper, we propose a theory-driven based conceptual model, associating student's interaction data logs with each of the flow experience dimensions, towards the automatic flow identification. The main result indicates that eight different kinds of data logs can be associated with the nine original flow experience dimensions and provide the automatic students' flow experience identification. As a future study, we aim to design an educational system capable of obtaining student's data logs conducting a data-driven based study to validate our theoretical study.

References

[1]

Geiser C Challco, Fernando RH Andrade, Simone S Borges, Ig I Bittencourt, and Seiji Isotani. 2016. Toward A Unified Modeling of Learner's Growth Process and Flow Theory. Journal of Educational Technology & Society 19, 2 (2016).

[2]

Mihaly Csikszentmihalyi. 1997a. Finding flow: The psychology of engagement with everyday life. Basic Books.

[3]

Mihaly Csikszentmihalyi. 1997b. Flow and education. NAMTA journal 22, 2 (1997), 2--35.

[4]

Mihaly Csikszentmihalyi. 2000. Beyond boredom and anxiety. Jossey-Bass.

[5]

Mihaly Csikszentmihalyi. 2014. Toward a psychology of optimal experience. In Flow and the foundations of positive psychology. Springer, 209--226.

[6]

Mihaly Csikszentmihalyi and Isabella Csikszentmihalyi. 1975. Beyond boredom and anxiety. Vol. 721. Jossey-Bass San Francisco.

[7]

Mihaly Csikszentmihalyi and Isabella Selega Csikszentmihalyi. 1992. Optimal experience: Psychological studies of flow in consciousness. Cambridge university press.

[8]

F.G. De Kock. 2014. The Neuropsychological Measure (EEG) of Flow Under Conditions of Peak Performance. https: //books.google.com.br/books?id=qKDFrQEACAAJ

[9]

Séverine Erhel and Eric Jamet. 2019. Improving instructions in educational computer games: Exploring the relations between goal specificity, flow experience and learning outcomes. Computers in Human Behavior 91 (2019), 106--114.

[10]

Anthony Faiola, Christine Newlon, Mark Pfaff, and Olga Smyslova. 2013. Correlating the effects of flow and telepresence in virtual worlds: Enhancing our understanding of user behavior in game-based learning. Computers in Human Behavior 29, 3 (2013), 1113--1121.

Digital Library

[11]

Juho Hamari and Jonna Koivisto. 2014. Measuring flow in gamification: Dispositional flow scale-2. Computers in Human Behavior 40 (2014), 133--143.

Digital Library

[12]

Juho Hamari, David J Shernoff, Elizabeth Rowe, Brianno Coller, Jodi Asbell-Clarke, and Teon Edwards. 2016. Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning. Computers in human behavior 54 (2016), 170--179.

[13]

Jiawei Han, Jian Pei, and Micheline Kamber. 2011. Data mining: concepts and techniques. Elsevier.

Digital Library

[14]

Jean Heutte, Fabien Fenouillet, Ilona Boniwell, Charles Martin-Krumm, and Mihaly Csikszentmihalyi. 2013. EduFlow: Proposal for a new measure of flow in education. Manuscript sumbitted for publication/Manuscrit soumis pour publication (2013), 38--p.

[15]

Jean Heutte, Fabien Fenouillet, Charles Martin-Krumm, Ilona Boniwell, and Mihaly Csikszentmihalyi. 2016. Proposal for a conceptual evolution of the flow in education (EduFlow) model. In 8th European Conference on Positive Psychology (ECPP 2016).

[16]

Li-An Ho and Tsung-Hsien Kuo. 2010. How can one amplify the effect of e-learning? An examination of high-tech employees' computer attitude and flow experience. Computers in Human Behavior 26, 1 (2010), 23--31.

Digital Library

[17]

David C Hoaglin, Frederick Mosteller, and John W Tukey. 2000. Understanding robust and exploratory data analysis. Number Sirsi) i9780471384915.

[18]

Donna L Hoffman and Thomas P Novak. 1996. Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing (1996), 50--68.

[19]

Kasper Hornbæk and Morten Hertzum. 2017. Technology acceptance and user experience: A review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction (TOCHI) 24, 5 (2017), 33.

Digital Library

[20]

Cheng-Yu Hung, Jerry Chih-Yuan Sun, and Pao-Ta Yu. 2015. The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning. Interactive Learning Environments 23, 2 (2015), 172--190.

[21]

S Jackson, B Eklund, and A Martin. 2011. The FLOW Manual The Manual for the Flow Scales Manual. Sampler Set. Mind (2011), 1--85.

[22]

Susan A Jackson and Robert C Eklund. 2002. Assessing flow in physical activity: The flow state scale--2 and dispositional flow scale--2. Journal of Sport and Exercise Psychology 24, 2 (2002), 133--150.

[23]

Susan A Jackson and Herbert W Marsh. 1996. Development and validation of a scale to measure optimal experience: The Flow State Scale. Journal of sport and exercise psychology 18, 1 (1996), 17--35.

[24]

Kristian Kiili, Sara De Freitas, Sylvester Arnab, and Timo Lainema. 2012. The design principles for flow experience in educational games. Procedia Computer Science 15 (2012), 78--91.

[25]

Po-Ming Lee, Sin-Yu Jheng, and Tzu-Chien Hsiao. 2014. Towards automatically detecting whether student is in flow. In International Conference on Intelligent Tutoring Systems. Springer, 11--18.

Digital Library

[26]

Wilk Oliveira, Ig Ibert Bittencourt, Seiji Isotani, Diego Dermeval, Leonardo Brandão Marques, and Ismar Frango Silveira. 2018. Flow Theory to Promote Learning in Educational Systems: Is it Really Relevant? Brazilian Journal of Computers in Education 26, 02 (2018), 29.

[27]

Wilk Oliveira, Ig Ibert Bittencourt, Seiji Isotani, Ismar Frango Silveira, and Leonardo Marques. 2015. Challenges of Flow Theory Applied to Computers in Education. In IV Workshop of Challenges of Computer in Education. Brazil.[GS Search].

[28]

Jungho Park, David Parsons, and Hokyoung Ryu. 2010. To flow and not to freeze: Applying flow experience to mobile learning. IEEE transactions on Learning Technologies 3, 1 (2010), 56--67.

[29]

Arttu Perttula, Kristian Kiili, Antero Lindstedt, and Pauliina Tuomi. 2017. Flow experience in game based learning--a systematic literature review. International Journal of Serious Games 4, 1 (2017), 57--72.

[30]

Namin Shin. 2006. Online learner's 'flow'experience: an empirical study. British Journal of Educational Technology 37, 5 (2006), 705--720.

[31]

Wouter Vanderplasschen and Jessica De Maeyer. 2014. Theory-Driven Interventions. Springer Netherlands, Dordrecht, 6629--6632. //dx.doi.org/10.1007/978--94-007-0753--5_3008

Cited By

Oliveira WHamari JIsotani S(2023)The Relationship between Users’ Behavior and Their Flow Experience in Gamified SystemsProceedings of the ACM on Human-Computer Interaction10.1145/36110327:CHI PLAY(319-341)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3611032
Oliveira WHamari JFerreira WPastushenko OToda AToledo Palomino PIsotani S(2023)Uncovering associations between users' behaviour and their flow experienceBehaviour & Information Technology10.1080/0144929X.2023.227682243:14(3416-3435)Online publication date: 6-Nov-2023
https://doi.org/10.1080/0144929X.2023.2276822
Oliveira WHamari JJoaquim SToda APalomino PVassileva JIsotani S(2022)The effects of personalized gamification on students’ flow experience, motivation, and enjoymentSmart Learning Environments10.1186/s40561-022-00194-x9:1Online publication date: 29-Mar-2022
https://doi.org/10.1186/s40561-022-00194-x
Show More Cited By

Index Terms

Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
    2. HCI theory, concepts and models

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Information & Contributors

Information

Published In

cover image ACM Conferences

CHI PLAY '19 Extended Abstracts: Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts

October 2019

859 pages

ISBN:9781450368711

DOI:10.1145/3341215

General Chairs:
Joan Arnedo
Universitat Oberta de Catalunya, Barcelona, Spain
,
Lennart E. Nacke
University of Waterloo, Waterloo, Canada
,
Program Chairs:
Vero Vanden Abeele
KU Leuven, Leuven, Belgium
,
Phoebe O. Toups Dugas
New Mexico State University, New Mexico, USA

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2019

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Work in progress

Funding Sources

Fundação de Amparo à Pesquisa do Estado de São Paulo
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conference

CHI PLAY '19

Sponsor:

SIGCHI

CHI PLAY '19: The Annual Symposium on Computer-Human Interaction in Play

October 22 - 25, 2019

Barcelona, Spain

Acceptance Rates

CHI PLAY '19 Extended Abstracts Paper Acceptance Rate 51 of 181 submissions, 28%;

Overall Acceptance Rate 421 of 1,386 submissions, 30%

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Cited By

Oliveira WHamari JIsotani S(2023)The Relationship between Users’ Behavior and Their Flow Experience in Gamified SystemsProceedings of the ACM on Human-Computer Interaction10.1145/36110327:CHI PLAY(319-341)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3611032
Oliveira WHamari JFerreira WPastushenko OToda AToledo Palomino PIsotani S(2023)Uncovering associations between users' behaviour and their flow experienceBehaviour & Information Technology10.1080/0144929X.2023.227682243:14(3416-3435)Online publication date: 6-Nov-2023
https://doi.org/10.1080/0144929X.2023.2276822
Oliveira WHamari JJoaquim SToda APalomino PVassileva JIsotani S(2022)The effects of personalized gamification on students’ flow experience, motivation, and enjoymentSmart Learning Environments10.1186/s40561-022-00194-x9:1Online publication date: 29-Mar-2022
https://doi.org/10.1186/s40561-022-00194-x
Higashi TMaiden NSas C(2022)Improve User Experience by Adjusting Draft Design through Retouching System for Paper-cutting ProductionProceedings of the 14th Conference on Creativity and Cognition10.1145/3527927.3535210(536-540)Online publication date: 20-Jun-2022
https://dl.acm.org/doi/10.1145/3527927.3535210
Ford CBryan-Kinns NMaiden NSas C(2022)Identifying Engagement in Children’s Interaction whilst Composing Digital Music at HomeProceedings of the 14th Conference on Creativity and Cognition10.1145/3527927.3532794(443-456)Online publication date: 20-Jun-2022
https://dl.acm.org/doi/10.1145/3527927.3532794
Oliveira WHamari JFerreira WToda APalomino PVassileva JIsotani S(2022)The effects of gender stereotype-based interfaces on users’ flow experience and performanceJournal of Computers in Education10.1007/s40692-022-00249-511:1(95-120)Online publication date: 14-Dec-2022
https://doi.org/10.1007/s40692-022-00249-5
Higashi T(2022)Retouching System to Ease Difficulty of Craft Design for Paper-CuttingCulture and Computing10.1007/978-3-031-05434-1_13(205-216)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05434-1_13
Aleksić VRistić O(2021)Identification of the flow experience in gamified educational environmentZbornik radova Pedagoskog fakulteta Uzice10.5937/ZRPFU2123167A(167-176)Online publication date: 2021
https://doi.org/10.5937/ZRPFU2123167A
Oliveira WTenório KHamari JPastushenko OIsotani S(2021)Predicting students’ flow experience through behavior data in gamified educational systemsSmart Learning Environments10.1186/s40561-021-00175-68:1Online publication date: 11-Nov-2021
https://doi.org/10.1186/s40561-021-00175-6
Oliveira WIsotani SPastushenko OHruska THamari J(2021)Modeling students’ flow experience through data logs in gamified educational systems2021 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT52272.2021.00037(97-101)Online publication date: Jul-2021
https://doi.org/10.1109/ICALT52272.2021.00037
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