Abstract
Mobile language learning has attracted much attention in recent years. Previous research has demonstrated a relationship between perceived usefulness and continuance intention to use technology. This study used a cross-section design to further investigate the possible association between perceived usefulness and continuance intention in the context of language learning and the mediating effects of integrative motivation and flow. A total of 500 college students who were learning English through mobile applications (apps) completed the Perceived Usefulness Scale, Integrative Motivation Scale, Flow Scale, and Continuance Intention Scale. Correlation analysis showed that perceived usefulness, continuance intention, integrative motivation, and flow were significantly positively correlated with each other. Results of regression analysis showed that integrative motivation and flow played multiple mediation roles in the relationship between perceived usefulness and continuance intention. That is, (1) perceived usefulness was positively related to continuance intention toward language learning apps, (2) both integrative motivation and flow played partial and parallel mediating roles between perceived usefulness and intention to use language learning apps, and (3) integrative motivation and flow mediated the relationship between perceived usefulness and continuance intention toward language learning apps sequentially. These results indicated that intention to use language learning apps among language learners can be promoted by way of the increasement of perceived usefulness of these apps, the enhancement of integrative motivation, and the improvement of flow experience. This creates the foundation for apps designers to focus more on inspiring learners to use the social connection functions of the apps, which helps them stay engaged in interactive language learning.
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References
Abduljalil, K. M., & Zainuddin, Y. (2015). Integrating technology acceptance model and motivational model towards intention to adopt accounting information system. International Journal of Management, Accounting and Economics, 2(5), 346–359
Berns, A., Isla-Montes, J. L., Palomo-Duarte, M., & Dodero, J. M. (2016). Motivation, students' needs and learning outcomes: A hybrid game-based app for enhanced language learning. SpringerPlus, 5(1), 1305. https://doi.org/10.1186/s40064-016-2971-1
Boo, Z., Dörnyei, Z., & Ryan, S. (2015). L2 motivation research 2005–2014: Understanding a publication surge and a changing landscape. System, 55, 145–157. https://doi.org/10.1016/j.system.2015.10.006
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning: A combination of theory of reasoned action and technology acceptance model. Journal of Research in Innovative Teaching & Learning, 11(4), 178–191. https://doi.org/10.1108/JRIT-03-2017-0004
Buil, I., Catalán, S., & Martínez, E. (2019). The influence of flow on learning outcomes: An empirical study on the use of clickers. British Journal of Educational Technology, 50(1), 428–439. https://doi.org/10.1111/bjet.12561
Chan, M. M., de la Roca, M., Alario-Hoyos, C., Plata, R. B., Medina, J. A., & Rizzardini, R. H. (2017). Perceived usefulness and motivation students towards the use of a cloud-based tool to support the learning process in a Java MOOC. In Proceedings of the International Conference MOOC-MAKER (pp. 73-82).
Chang, C. C., Liang, C., Yan, C. F., & Tseng, J. S. (2013). The impact of college students’ intrinsic and extrinsic motivation on continuance intention to use English mobile learning systems. The Asia-Pacific Education Researcher, 22(2), 181–192. https://doi.org/10.1007/s40299-012-0011-7
Chen, C. M., & Chung, C. J. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Computers & Education, 51(2), 624–645. https://doi.org/10.1016/j.compedu.2007.06.011
Chen, Y. M., Hsu, T. H., & Lu, Y. J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41, 281–287. https://doi.org/10.1016/j.jretconser.2017.04.004
Chen, X., Vallerand, R. J., & Padilla, A. M. (2021). On the role of passion in second language learning and flourishing. Journal of Happiness Studies, 22(6), 2761–2779. https://doi.org/10.1007/s10902-020-00339-0
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working papers on Information Systems, 9(37), 9–37.
Csikszentmihalyi, M. (2000). Beyond boredom and anxiety. Jossey-Bass.
Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815–822. https://doi.org/10.1037/0022-3514.56.5.815
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dang, Y. M., Zhang, Y. G., Brown, S. A., & Chen, H. (2020). Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system. Information Systems Frontiers, 22(3), 697–718. https://doi.org/10.1007/s10796-018-9879-y
Duan, F., Zhai, S., Chi, M., Han, G., & Zhang, C. (2017). Empirical research of the user stickiness of mobile game: The integration theory of flow and TAM. Library and Information Service, 61(3), 21–28. https://doi.org/10.13266/j.issn.0252-3116.2017.03.003
Gardner, R. C. (2010). Motivation and second language acquisition: The socio-educational model. Peter Lang.
Gardner, R. C., Lalonde, R. N., & Moorcroft, R. (1985). The role of attitudes and motivation in second language learning: Correlational and experimental considerations. Language Learning, 35(2), 207–227. https://doi.org/10.1111/j.1467-1770.1985.tb01025.x
Gardner, R. C., & Lambert, W. E. (1972). Attitudes and motivation in second language learning. Newbury House.
Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human—Computer interaction. The Journal of Psychology, 128(4), 381–391. https://doi.org/10.1080/00223980.1994.9712742
Guo, Z., Xiao, L., Van Toorn, C., Lai, Y., & Seo, C. (2016). Promoting online learners’ continuance intention: An integrated flow framework. Information & Management, 53(2), 279–295. https://doi.org/10.1016/j.im.2015.10.010
Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis. Journal of Educational Measurement, 51(3), 335–337. https://doi.org/10.1111/jedm.12050
Hernández, T. (2006). Integrative motivation as a predictor of success in the intermediate foreign language classroom. Foreign Language Annals, 39(4), 605–617. https://doi.org/10.1111/j.1944-9720.2006.tb02279.x
Hoyle, R. H. (Ed.) (2012). Handbook of structural equation modeling. Guilford.
Hsiao, C. H., Tang, K. Y., & Lin, C. H. (2015). Exploring college students’ intention to adopt e-textbooks: A modified technology acceptance model. Libri, 65(2), 119–128. https://doi.org/10.1515/libri-2014-0155
Hsu, C. L., Wu, C. C., & Chen, M. C. (2013). An empirical analysis of the antecedents of e-satisfaction and e-loyalty: Focusing on the role of flow and its antecedents. Information Systems and e-Business Management, 11(2), 287–311. https://doi.org/10.1007/s10257-012-0194-8
Hsu, L. (2017). EFL learners’ acceptance of technology in a computer-assisted language learning (CALL) context: The role of intrinsic-extrinsic motivation in English learning. International Journal of Information and Education Technology, 7(9), 679–685. https://doi.org/10.18178/ijiet.2017.7.9.953
Huang, R. T., Hsiao, C. H., Tang, T. W., & Lien, T. C. (2014). Exploring the moderating role of perceived flexibility advantages in mobile learning continuance intention (MLCI). International Review of Research in Open and Distributed Learning, 15(3), 140–157. https://doi.org/10.19173/irrodl.v15i3.1722
Hurd, S. (2006). Towards a better understanding of the dynamic role of the distance language learner: Learner perceptions of personality, motivation, roles, and approaches. Distance Education, 27(3), 303–329. https://doi.org/10.1080/01587910600940406
Hussein, Z. (2017). Leading to intention: The role of attitude in relation to technology acceptance model in e-learning. Procedia Computer Science, 105, 159–164. https://doi.org/10.1016/j.procs.2017.01.196
Ibrahim, Z. (2020). Sustained flow: Affective obsession in second language learning. Frontiers in Psychology, 10, 2963. https://doi.org/10.3389/fpsyg.2019.02963
Ikhsan, K., & Sunaryo, D. (2020). Technology acceptance model, social influence and perceived risk in using mobile applications: Empirical evidence in online transportation in Indonesia. Jurnal Dinamika Manajemen, 11(2), 127–138. https://doi.org/10.15294/jdm.v11i2.23309
Khorsheed, R. (2021). Youth culture and EFL students’ development of integrative motivation. Theory and practice in language Studies, 11(4), 377-389. https://doi.org/10.17507/tpls.1104.07
Kim, B., & Kim, D. (2020). Exploring the key antecedents influencing consumer's continuance intention toward bike-sharing services: Focus on China. International Journal of Environmental Research and Public Health, 17(12), 4556. https://doi.org/10.3390/ijerph17124556
Kim, S. H., & Shin, H. W. (2021). Second language learners’ self-efficacy and English achievement: The mediating role of integrative motivation. English Teaching & Learning, 45(3), 325–338. https://doi.org/10.1007/s42321-021-00083-5
Kohnke, L. (2020). Exploring learner perception, experience and motivation of using a mobile app in L2 vocabulary acquisition. International Journal of Computer-Assisted Language Learning and Teaching, 10(1), 15–26. https://doi.org/10.4018/IJCALLT.2020010102
Kong, S., & Wang, Y. (2021). The influence of parental support and perceived usefulness on students' learning motivation and flow experience in visual programming: Investigation from a parent perspective. British Journal of Educational Technology, 52(4), 1749–1770. https://doi.org/10.1111/bjet.13071
Koo, C., Chung, N., & Nam, K. (2015). Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives. International Journal of Information Management, 35(1), 64–79. https://doi.org/10.1016/j.ijinfomgt.2014.10.001
Lamb, M. (2012). A self system perspective on young adolescents’ motivation to learn English in urban and rural settings. Language Learning, 62(4), 997–1023. https://doi.org/10.1111/j.1467-9922.2012.00719.x
Lasagabaster, D. (2011). English achievement and student motivation in CLIL and EFL settings. Innovation in Language Learning and Teaching, 5(1), 3–18. https://doi.org/10.1080/17501229.2010.519030
Lee, E. (2005). The relationship of motivation and flow experience to academic procrastination in university students. The Journal of Genetic Psychology, 166(1), 5–14. https://doi.org/10.3200/GNTP.166.1.5-15
Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095–1104. https://doi.org/10.1016/j.im.2003.10.007
Lee, S., & Kim, B. G. (2021). User, system, and social related factors affecting perceived usefulness for continuance usage intention of mobile apps. International Journal of Mobile Communications, 19(2), 190–217. https://doi.org/10.1504/IJMC.2021.10030713
Li, C. Y., & Fang, Y. H. (2019). Predicting continuance intention toward mobile branded apps through satisfaction and attachment. Telematics and Informatics, 43, 101248. https://doi.org/10.1016/j.tele.2019.101248
Li, Q. (2014). Differences in the motivation of Chinese learners of English in a foreign and second language context. System, 42, 451–461. https://doi.org/10.1016/j.system.2014.01.011
Liébana-Cabanillas, F., Singh, N., Kalinic, Z., & Carvajal-Trujillo, E. (2021). Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: A multi-analytical approach. Information Technology and Management, 22, 133–161. https://doi.org/10.1007/s10799-021-00328-6
Ljubin-Golub, T., Rijavec, M., & Olčar, D. (2020). Student flow and burnout: The role of teacher autonomy support and student autonomous motivation. Psychological Studies, 65(2), 145–156. https://doi.org/10.1007/s12646-019-00539-6
Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1
Nasidi, Q. Y., Ahmad, M. F. B., & Hassan, I. (2020). Mediating role of social media in the relationship between reliability, rerceived usefulness on online shopping behaviour: Building a conceptual framework. International Journal of Academic Research in Business and Social Sciences, 11(2), 385–393. https://doi.org/10.6007/IJARBSS/v11-i2/8834
Ngai, E. W., Law, C. C., & Wat, F. K. (2008). Examining the critical success factors in the adoption of enterprise resource planning. Computers in Industry, 59(6), 548–564. https://doi.org/10.1016/j.compind.2007.12.001
Nurcholis, L., & Miftaqulkismay, S. (2021). The concept of flow as mediating variables on the relationships between perceived usefulness with repurchase intention. Jurnal Aplikasi Manajemen, 19(1), 187-197. https://doi.org/10.21776/ub.jam.2021.019.01.17.
Panisoara, I. O., Lazar, I., Panisoara, G., Chirca, R., & Ursu, A. S. (2020). Motivation and continuance intention towards online instruction among teachers during the COVID-19 pandemic: The mediating effect of burnout and technostress. International Journal of Environmental Research and Public Health, 17(21), 8002. https://doi.org/10.3390/ijerph17218002
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
Rheinberg, F., & Engeser, S. (2018). Intrinsic motivation and flow. In Motivation and action (pp. 579–622). Springer. https://doi.org/10.1007/978-3-319-65094-4_14
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. The American Psychologist, 55(1), 68–78. https://doi.org/10.1037//0003-066x.55.1.68
Syafrizal, S. (2019). The impacts of integrative and instrumental motivation for Indonesian learners. Lingua Pedagogia, 1(2), 64–76. https://doi.org/10.21831/lingped.v1i2.18541
Ter, T. C., Peng, C. F., Hutagalung, F., & Hamid, Z. (2019). Integrative and instrumental motivation among the Chinese language pre-service teachers. International Journal of Academic Research in Business and Social Sciences, 9(6), 1216–1227. https://doi.org/10.6007/IJARBSS/v9-i6/6083
Thornton, P., & Houser, C. (2005). Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, 21(3), 217–228. https://doi.org/10.1111/j.1365-2729.2005.00129.x
Thompson, R. (1998). Extending the technology acceptance model with motivation and social factors. AMCIS 1998 Proceedings, 254.
Tsai, C. C., Cheng, Y. M., Tsai, Y. S., & Lou, S. J. (2021). Impacts of AIOT implementation course on the learning outcomes of senior high school students. Education Sciences, 11(2), 82. https://doi.org/10.3390/educsci11020082
Wu, Q. (2015). Pulling mobile assisted language learning (MALL) into the mainstream: MALL in broad practice. PLoS One, 10(5), e0128762. https://doi.org/10.1371/journal.pone.0128762
Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (2021). Mobile apps for healthy living: Factors influencing continuance intention for health apps. Technological Forecasting and Social Change, 166(3), 120644. https://doi.org/10.1016/j.techfore.2021.120644
Yang, S., Zhou, S., & Cheng, X. (2019). Why do college students continue to use mobile learning? Learning involvement and self-determination theory. British Journal of Educational Technology, 50(2), 626–637. https://doi.org/10.1111/bjet.12634
Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic motivation perspective. Tsinghua Science and Technology, 13(3), 312–317. https://doi.org/10.1016/S1007-0214(08)70050-6
Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1–17. https://doi.org/10.1016/j.compedu.2015.11.001
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This work was supported by the Foundation for Outstanding Young Scholars in Guangzhou (No.18QNXR11), the Key Laboratory for Social Sciences of Guangdong Province (No.2015WSY009), and The 13th Five-Year Research Plan Project of Guangdong Province in 2020 (Moral Education Special Project, No. 2020JKDY018).
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Wang, X., Lu, A., Lin, T. et al. Perceived usefulness predicts second language learners’ continuance intention toward language learning applications: a serial multiple mediation model of integrative motivation and flow. Educ Inf Technol 27, 5033–5049 (2022). https://doi.org/10.1007/s10639-021-10822-7
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DOI: https://doi.org/10.1007/s10639-021-10822-7