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Continuance Intention to Use Mobile Learning in Terms of Motivation and Technology Acceptance

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Abstract

Mobile learning is a fast-growing area in the field of education. Previous research has highlighted the importance of the continuance intention to use information technology as a post-adoption behaviour. However, while research exists for the behavioural intention to use mobile learning, not many studies exist that have investigated the continuance intention towards using mobile learning. The current study explores factors that influence the continuance intention towards using mobile learning in the context of secondary science education. The study proposes and evaluates a model to explain and predict continuance intention to use mobile learning, using constructs from both the Technology Acceptance Model and the Self-Determination Theory of Motivation. Forty-eight students from a European secondary school participated in outdoors mobile learning activities during a science class and filled out a survey questionnaire about their attitudes. Structured equation modelling was used for analysing the data. The analysis confirmed the proposed model, explaining and predicting students’ continuance intention to use mobile learning in terms of satisfaction, perceived ease of use and autonomy. The study can guide education professionals towards the design and development of more motivating mobile learning activities that promote student satisfaction and their continuance intention to use mobile learning.

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References

  • Agrebi, S., & Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16–23.

    Article  Google Scholar 

  • Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness, perceived ease of use and trust. Emerald Insight (Nankai Business Review International), 5(3), 258–274.

    Google Scholar 

  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.

    Article  Google Scholar 

  • Bhattacherjee, A., & Barfar, A. (2011). Information technology continuance research: Current state and future directions. Asia Pacific Journal of Information Systems, 21(2), 1–18.

    Google Scholar 

  • Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Mendez, J. A., & Garcia-Penalvo, F. J. (2016). Learning with mobile technologies e students’ behavior. Computers in Human Behavior, 72, 612–620.

    Article  Google Scholar 

  • Chang, C., Liang, C., Yan, C., et al. (2013). The impact of college students’ intrinsic and extrinsic motivation on continuance intention to use English Mobile learning systems. Asia-Pacific Education Researcher, 22, 181–192.

    Article  Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern business research methods (pp. 295–336). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Cho, Y., Park, J., Han, S. H., & Kang, S. (2011). Development of a web-based survey system for evaluating affective satisfaction. International Journal of Industrial Ergonomics, 41(3), 247–254.

    Article  Google Scholar 

  • Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of mobile learning (pp. 3–14). Florence: Routledge.

    Google Scholar 

  • Dabolkar, P. A., Shepard, C. D., & Thorpe, D. I. (2000). A comprehensive framework for service quality: An investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing., 76(2), 139–173.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quartely, 13(3), 319–340.

    Article  Google Scholar 

  • Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester: University of Rochester Press.

    Google Scholar 

  • Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems, 19(1), 60–75.

    Article  Google Scholar 

  • Dysvik, A., & Kuvaas, B. (2008). The relationship between perceived training opportunities, work motivation and employee outcomes. International Journal of Training and Development, 12(3), 138–157.

    Google Scholar 

  • Gagne, M., & Deci, E. (2005). Self-determination theory and work motivation. Journal of Organizational Behavior, 26, 331–362.

    Article  Google Scholar 

  • Gillet, N., Gagné, M., Sauvagère, S., & Fouquereau, E. (2013). The role of supervisor autonomy support, organizational support, and autonomous and controlled motivation in predicting employees’ satisfaction and turnover intentions. European Journal of Work and Organizational Psychology, 22(4), 450–460.

    Article  Google Scholar 

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage.

    Google Scholar 

  • Hartnett, M. K. (2015). Influences that undermine learners’ perceptions of autonomy competence and relatedness in an online context. Australasian Journal of Educational Technology, 31(1), 86–99.

    Article  Google Scholar 

  • Hwang, G.-J., & Wu, P.-H. (2014). Applications, impacts and trends of mobile technology-enhanced learning: A review of 2008–2012 publications in selected SSCI journals. International Journal of Mobile Learning and Organisation, 8(2), 83–95.

    Article  Google Scholar 

  • Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 higher education edition. Austin: The New Media Consortium.

    Google Scholar 

  • Joo, Y. J., Park, S., & Shin, E. K. (2017). Students’ expectation, satisfaction, and continuance intention to use digital textbooks. Computers in Human Behavior, 69, 83–90.

    Article  Google Scholar 

  • Lam, C. F., & Gurland, S. T. (2008). Self-determined work motivation predicts job outcomes, but what predicts self-determined work motivation? Journal of Research in Personality, 42(4), 1109–1115.

    Google Scholar 

  • Lee, M. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506–516.

    Article  Google Scholar 

  • Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrated perceived playfulness into expectation–confirmation model for web portal context. Information Management., 42(5), 683–693.

    Article  Google Scholar 

  • Mac Callum, K., Jeffrey, L., & Kinshuk. (2014). Comparing the role of ICT literacy and anxiety in the adoption of mobile learning. Computers in Human Behavior, 39, 8–19.

    Article  Google Scholar 

  • Nabavi, A., Taghavi-Fard, M. T., Hanafizadeh, P., & Taghva, M. R. (2016). Information technology continuance intention: A systematic literature review. International Journal of E-Business Research, 12(1), 58–95.

    Article  Google Scholar 

  • Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: Applying self-determination theory to educational practice. Theory and Research in Education, 7, 133–144.

    Article  Google Scholar 

  • Nikou, S.A., & Economides, A.A. (2014a). Acceptance of mobile-based assessment from the perspective of self-determination theory of motivation. International Conference of Advanced Learning Technologies, IEEE ICALT 2014, Athens, Greece.

    Google Scholar 

  • Nikou, S.A., & Economides, A.A. (2014b). A model for mobile-based assessment adoption based on self-determination theory of motivation. International Conference on Interactive Mobile Communications and Learning, IEEE IMCL 2014, Thessaloniki, Greece.

    Google Scholar 

  • Nikou, S. A., & Economides, A. A. (2017a). Mobile-based assessment: Integrating acceptance and motivational factors into a combined model of self-determination theory and technology acceptance. Computers in Human Behavior, 68, 83–95.

    Article  Google Scholar 

  • Nikou, S. A., & Economides, A. A. (2017b). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56–73.

    Article  Google Scholar 

  • Nikou, S. A., & Economides, A. A. (2018). Factors that influence behavioral intention to use Mobile-based assessment: A STEM teachers’ perspective. British Journal of Educational Technology, 50(20), 587–600.

    Google Scholar 

  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.

    Article  Google Scholar 

  • Ooi, K.-B., Hew, J.-J., & Lee, V. H. (2018). Could the mobile and social perspectives of mobile social learning platforms motivate learners to learn continuously? Computers & Education, 127–145.

    Google Scholar 

  • Pedrotti, M., & Nistor, N. (2016). In K. Verbert, et al. (Eds.), User motivation and technology acceptance in online learning environments (pp. 472–477). EC-TEL 2016, LNCS 9891.

    Google Scholar 

  • Rahman, M. N. A., Syed Zamri, S. N. A., & Eu, L. K. (2017). A meta-analysis study of satisfaction and continuance intention to use educational technology. International Journal of Academic Research in Business and Social Sciences., 7(4), 1059–1072.

    Article  Google Scholar 

  • Reeve, J., & Halusic, M. (2009). How K-12 teachers can put self-determination theory principles into practice. Theory and Research in Education, 7(2), 145–154.

    Article  Google Scholar 

  • Richer, S. F., Blanchard, C., & Vallerand, R. J. (2002). A motivational model of work turnover. Journal of Applied Social Psychology., 32, 2089–2113.

    Article  Google Scholar 

  • Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (beta), [computer software]. Retrieved from http://www.smartpls.de.

    Google Scholar 

  • Roca, J. C. M., & Gagn, E. M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585–1604.

    Article  Google Scholar 

  • Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683–696.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusions of innovations. New York: Free Press.

    Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.

    Article  Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self- determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology. Available online from doi:https://doi.org/10.1016/j.cedpsych.2020.101860.

  • Ryan, R. M., Rigby, C. S., & Przybylski, A. K. (2006). The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 30, 347–363.

    Google Scholar 

  • Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self determination theory in explaining teachers’ motivation to continue to use elearning technology. Computers & Education, 53(4), 1177–1187.

    Article  Google Scholar 

  • Standage M., Duda J. L., & Ntoumanis N. (2006). Students’ motivational processes and their relationship to teacher ratings in school physical education: A self-determination theory approach. Res. Q. Exerc. Sport. 77, 100–110.

    Google Scholar 

  • Sumak, B., Hericko, M., & Pusnik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27, 2067–2077.

    Article  Google Scholar 

  • Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275.

    Article  Google Scholar 

  • Terzis, V., Moridis, C. N., & Economides, A. A. (2013). Continuance acceptance of computer based assessment through the integration of user’s expectations and perceptions. Computers & Education, 62, 50–61.

    Article  Google Scholar 

  • van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–702.

    Article  Google Scholar 

  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

    Article  Google Scholar 

  • Wang, J. C. K, Ng, B.L.L., Liu, W.C., & Ryan, R.M. (2015). Can being autonomy-supportive in teaching improve students’ self-regulation and performance? In Building Autonomous Learners. Perspectives from Research and Practice using Self-Determination Theory (pp. 227–243). Springer.

    Google Scholar 

  • West, M., & Vosloo, S. E. (2013). UNESCO policy guidelines for mobile learning. Paris: UNESCO.

    Google Scholar 

  • Zhou, M. (2016). Chinese university students’ acceptance of MOOCs: A self-determination perspective. Computers & Education, 92-93, 194–203.

    Article  Google Scholar 

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Correspondence to Stavros A. Nikou .

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Appendix

Appendix

1.1 The Questionnaire Used in the Study

Constructs

Items

Questions

Sources

Autonomy

AUT1

I experienced a lot of freedom with the system (mobile learning)

Ryan et al. (2006)

AUT2

I can find something interesting to do in this system

AUT3

The system provides me with interesting options and choices

Perceived ease of use

PEOU1

My interaction with the system is clear and understandable

Davis (1989)

PEOU2

It is easy for me to become skilful at using the system

PEOU3

I find the system easy to use

Satisfaction

SAT1

I was satisfied with the activity

Lin et al. (2005)

SAT2

I was pleased with the activity

SAT3

My decision to participate in the activity was a wise one

Continuance intention to use

CIU1

I intend to continue using the system rather than discontinue its use

Bhattacherjee (2001)

CIU2

My intentions are to continue using the system than use any alternative means (traditional learning)

CIU3

If I could, I would like to discontinue my use of the system

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Nikou, S.A., Economides, A.A. (2021). Continuance Intention to Use Mobile Learning in Terms of Motivation and Technology Acceptance. In: Tsiatsos, T., Demetriadis, S., Mikropoulos, A., Dagdilelis, V. (eds) Research on E-Learning and ICT in Education. Springer, Cham. https://doi.org/10.1007/978-3-030-64363-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-64363-8_1

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