IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i11p2089-d449326.html
   My bibliography  Save this article

An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence

Author

Listed:
  • Ching Sing Chai

    (Department of Curriculum and Instruction, The Chinese University of Hong Kong, Hong Kong, China)

  • Xingwei Wang

    (College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China)

  • Chang Xu

    (Faculty of Education, Beijing Normal University, Beijing 100875, China)

Abstract

Artificial Intelligence (AI) is currently changing how people live and work. Its importance has prompted educators to begin teaching AI in secondary schools. This study examined how Chinese secondary school students’ intention to learn AI were associated with eight other relevant psychological factors. Five hundred and forty-five secondary school students who have completed at least one cycle of AI course were recruited to participate in this study. Based on the theory of planned behavior, the students’ AI literacy, subjective norms, and anxiety were identified as background factors. These background factors were hypothesized to influence the students’ attitudes towards AI, their perceived behavioral control, and their intention to learn AI. To provide more nuanced understanding, the students’ attitude towards AI was further delineated as constituted by their perception of the usefulness of AI, the potential of AI technology to promote social good, and their attitude towards using AI technology. Similarly, the perceived behavioral control was operationalized as students’ confidence towards learning AI knowledge and optimistic outlook of an AI infused world. Relationships between the factors were theoretically illustrated as a model that depicts how students’ intention to learn AI was constituted. Two research questions were then formulated. Confirmatory factor analysis was employed to validate that multi-factor survey, followed by structural equational modelling to ascertain the significant associations between the factors. The confirmatory factor analysis supports the construct validity of the questionnaire. Twenty-five out of the thirty-three hypotheses were supported through structural equation modelling. The model helps researchers and educators to understand the factors that shape students’ intention to learn AI. These factors should be considered for the design of AI curriculum.

Suggested Citation

  • Ching Sing Chai & Xingwei Wang & Chang Xu, 2020. "An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:2089-:d:449326
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/11/2089/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/11/2089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Yun Dai & Ching-Sing Chai & Pei-Yi Lin & Morris Siu-Yung Jong & Yanmei Guo & Jianjun Qin, 2020. "Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xin Li & Michael Yi-chao Jiang & Morris Siu-yung Jong & Xinping Zhang & Ching-sing Chai, 2022. "Understanding Medical Students’ Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    2. Xiao-Fan Lin & Lu Chen & Kan Kan Chan & Shiqing Peng & Xifan Chen & Siqi Xie & Jiachun Liu & Qintai Hu, 2022. "Teachers’ Perceptions of Teaching Sustainable Artificial Intelligence: A Design Frame Perspective," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    3. Ching Sing Chai & Thomas K. F. Chiu & Xingwei Wang & Feng Jiang & Xiao-Fan Lin, 2022. "Modeling Chinese Secondary School Students’ Behavioral Intentions to Learn Artificial Intelligence with the Theory of Planned Behavior and Self-Determination Theory," Sustainability, MDPI, vol. 15(1), pages 1-16, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria Andersson & Ola Eriksson & Chris Von Borgstede, 2012. "The Effects of Environmental Management Systems on Source Separation in the Work and Home Settings," Sustainability, MDPI, vol. 4(6), pages 1-17, June.
    2. Tran Huy Phuong & Thanh Trung Hieu, 2015. "Predictors of Entrepreneurial Intentions of Undergraduate Students in Vietnam: An Empirical Study," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 46-55, August.
    3. Clara Cardone-Riportella & María José Casasola-Martinez & Isabel Feito-Ruiz, 2014. "Do Entrepreneurs Come From Venus Or Mars? Impact Of Postgraduate Studies: Gender And Family Business Background," Working Papers 14.04, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration), revised Sep 2014.
    4. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    5. Ruijie Zhu & Guojing Zhao & Zehai Long & Yangjie Huang & Zhaoxin Huang, 2022. "Entrepreneurship or Employment? A Survey of College Students’ Sustainable Entrepreneurial Intentions," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    6. Alsalem, Amani & Fry, Marie-Louise & Thaichon, Park, 2020. "To donate or to waste it: Understanding posthumous organ donation attitude," Australasian marketing journal, Elsevier, vol. 28(3), pages 87-97.
    7. Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    8. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    9. Jacqueline Ruth & Steffen Willwacher & Oliver Korn, 2022. "Acceptance of Digital Sports: A Study Showing the Rising Acceptance of Digital Health Activities Due to the SARS-CoV-19 Pandemic," IJERPH, MDPI, vol. 19(1), pages 1-16, January.
    10. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, David & Sengupta, Raja & Walker, Joan L., 2012. "The Quantified Traveler: Changing transport behavior with personalized travel data feedback," University of California Transportation Center, Working Papers qt3047k0dw, University of California Transportation Center.
    11. Brown, Philip & Roper, Simon, 2017. "Innovation and networks in New Zealand farming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), July.
    12. Teodora Roman, 2009. "Study regarding entrepreneurial intentions among students," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 18, pages 87-94.
    13. Messele Kumilachew Aga, 2023. "The mediating role of perceived behavioral control in the relationship between entrepreneurship education and entrepreneurial intentions of university students in Ethiopia," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-18, December.
    14. Kristin Thomas & Evalill Nilsson & Karin Festin & Pontus Henriksson & Mats Lowén & Marie Löf & Margareta Kristenson, 2020. "Associations of Psychosocial Factors with Multiple Health Behaviors: A Population-Based Study of Middle-Aged Men and Women," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    15. Andreas Falke & Nadine Schröder & Claudia Hofmann, 2022. "The influence of values in sustainable consumption among millennials," Journal of Business Economics, Springer, vol. 92(6), pages 899-928, August.
    16. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    17. Ficko, Andrej & Boncina, Andrej, 2013. "Probabilistic typology of management decision making in private forest properties," Forest Policy and Economics, Elsevier, vol. 27(C), pages 34-43.
    18. Muhammad Shahid Qureshi & Saadat Saeed & Syed Waleed Mehmood Wasti, 2016. "The impact of various entrepreneurial interventions during the business plan competition on the entrepreneur identity aspirations of participants," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 6(1), pages 1-18, December.
    19. Julie Bayle-Cordier & Loïc Berger & Rayan Elatmani & Massimo Tavoni, 2023. "Breath, Love, Walk? The Impact of Mindfulness Interventions on Climate Policy Support and Environmental Attitudes," Sustainability, MDPI, vol. 15(13), pages 1-29, July.
    20. Radha Jagannathan & Michael J. Camasso & Bagavan Das & Jale Tosun & Sadagopan Iyengar, 2017. "Family, society and the individual: determinants of entrepreneurial attitudes among youth in Chennai, South India," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:2089-:d:449326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.