Abstract
Massive Open Online Courses (MOOC) have become a strong support for building a ubiquitous learning environment typically during Covid19 pandemic. Although more and more Internet users are willing to try MOOC, the problems corresponding to users’ free and autonomous learning are a poor learning experience, low long-term attractiveness to users, and low completion rate of courses. The fundamental reason is that online learning behaviour cannot be well motivated and maintained. A key design concept related to the MOOC is gamification design - the application of game design elements to non-gamification scenarios. Some MOOC has integrated different gamification method to attract users. However, the academic community’s attitude towards gamification still inconsistent, and even some studies believe that the level of user motivation in the gamified design condition will decrease. From the perspective of user information behaviour, this paper follows the logical route of “motivation-behaviour” and analyse the perceptual challenge and perceptual attention, learning results and cognitive user participation. From the MOOC context, this paper discusses the technical application factors that affect user behaviour and enriches the research direction in the field of information behaviour. Lastly, this study puts forward some development suggestions to MOOC operators to comprehensively improve the perception challenge and attention of MOOC users and enhance their learning effect.
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References
Yang, R.: China’s higher education during the COVID-19 pandemic: some preliminary observations, pp. 1–5. Higher Education Research & Development (2020)
Goopio, J., Cheung, C.: The MOOC dropout phenomenon and retention strategies. J. Teach. Travel Tour. 1–21 (2020)
Zhang, M., Yin, S., Luo, M., Yan, W.: Learner control, user characteristics, platform difference, and their role in adoption intention for MOOC learning in China. Australas. J. Educ. Technol. 33(1) (2017)
Van Roy, R., Zaman, B.: Need-supporting gamification in education: an assessment of motivational effects over time. Comput. Educ. 127, 283–297 (2018)
Kulkarni, T.D., Narasimhan, K., Saeedi, A., Tenenbaum, J.: Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation. In: Advances in Neural Information Processing Systems, pp. 3675–3683 (2016)
Corona Martínez, D., Real García, J.J.: Using Malone’s theoretical model on gamification for designing educational rubrics. In: Informatics, vol. 6, no. 1, p. 9. Multidisciplinary Digital Publishing Institute (2019)
Alsawaier, R.S.: The effect of gamification on motivation and engagement. Int. J. Inf. Learn. Technol. 35(1), 56–79 (2018)
Svendsen, B., Burner, T., Røkenes, F.M.: Intrinsically motivating instruction—Thomas Malone. In: Akpan, B., Kennedy, T.J. (eds.) Science Education in Theory and Practice. Springer Texts in Education, pp. 45–53. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43620-9_4
Malone, T.W.: What makes things fun to learn? A study of intrinsically motivating computer games (1981)
Compeau, D., Gravill, J., Haggerty, N., Kelley, H.: Computer self-efficacy. In: Human-Computer Interaction and Management Information Systems: Foundations, pp. 225–261 (2006)
Golman, R., Loewenstein, G.: Curiosity, information gaps, and the utility of knowledge. Inf. Gaps Utility Knowl., 96–135 (2015)
Paivio, A., Clark, J.M.: Dual coding theory and education. Pathways to literacy achievement for high poverty children, pp. 1–20 (2006)
Gachkova, M., Somova, E.: Plug-in for creation of gamified courses in the e-learning environment moodle. In: IOP Conference Series: Materials Science and Engineering, vol. 618, no. 1, p. 012079. IOP Publishing (2019)
Cordova, D.I., Lepper, M.R.: Intrinsic motivation and the process of learning: beneficial effects of contextualization, personalization, and choice. J. Educ. Psychol. 88(4), 715 (1996)
Park, J., Liu, D., Mun, Y.Y., Santhanam, R.: GAMESIT: a gamified system for information technology training. Comput. Educ. 142, 103643 (2019)
Simsek, A.: Interview with John M. Keller on motivational design of instruction. Contemp. Educ. Technol. 5(1), 90–95 (2014)
Li, K., Moore, D.R.: Motivating students in massive open online courses (MOOCs) using the attention, relevance, confidence, satisfaction (ARCS) model. J. Formative Des. Learn. 2(2), 102–113 (2018)
Li, K., Keller, J.M.: Use of the ARCS model in education: a literature review. Comput. Educ. 122, 54–62 (2018)
Nakamura, J., Csikszentmihalyi, M.: The concept of flow. In: Nakamura, J., Csikszentmihalyi, M. (eds.) Flow and the Foundations of Positive Psychology, pp. 239–263. Springer, Dordrecht (2014). https://doi.org/10.1007/978-94-017-9088-8_16
Jackson, S.A., Marsh, H.W.: Development and validation of a scale to measure optimal experience: the flow state scale. J. Sport Exerc. Psychol. 18(1), 17–35 (1996)
Tsao, Y.C., Shu, C.C., Lan, T.S.: Development of a reminiscence therapy system for the elderly using the integration of virtual reality and augmented reality. Sustainability 11(17), 4792 (2019)
Van Schaik, P., Martin, S., Vallance, M.: Measuring flow experience in an immersive virtual environment for collaborative learning. J. Comput. Assist. Learn. 28(4), 350–365 (2012)
Zhang, Y., Chen, J., Miao, D.: Zhang, C (2018) Design and analysis of an interactive MOOC teaching system based on virtual reality. Int. J. Emerg. Technol. Learn. (iJET) 13(07), 111–123 (2012)
Rheinberg, F., Vollmeyer, R.: Flow experience in a computer game under experimentally controlled conditions. Zeitschrift fur Psychologie 211(4), 161–170 (2003)
Reich, J., Ruipérez-Valiente, J.A.: The MOOC pivot. Science 363(6423), 130–131 (2019)
Steffens, K.: Competences, learning theories and MOOC s: recent developments in lifelong learning. Eur. J. Educ. 50(1), 41–59 (2015)
Ping, W.: The latest development and application of massive open online course: from cMOOC to xMOOC. Mod. Distance Educ. Res. 3(005) (2013)
Siemens, G., Downes, S.: Connectivism & connective knowledge. Universidad de Manitoba (2008)
O’Brien, K., Forte, M., Mackey, T., Jacobson, T.: Metaliteracy as pedagogical framework for learner-centered design in three MOOC platforms: Connectivist. Open Praxis 9(3), 267–286 (2017)
Anyatasia, F.N., Santoso, H.B., Junus, K.: An evaluation of the Udacity MOOC based on instructional and interface design principles. In: Journal of Physics: Conference Series, vol. 1566, no. 1, p. 012053. IOP Publishing (2020)
Gimeno-Sanz, A., Navarro-Laboulais, C., Despujol-Zabala, I.: Additional functionalities to convert an xMOOC into an xLMOOC. In: Delgado Kloos, C., Jermann, P., Pérez-Sanagustín, M., Seaton, D., White, S. (eds.) EMOOCs 2017. LNCS, vol. 10254, pp. 48–57. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59044-8_6
Lopatiev, A., Ivashchenko, O., Khudoliy, O., Pjanylo, Y., Chernenko., Yermakova, T.: Systemic approach and mathematical modeling in physical education and sports (2017)
Zou, M., Chen, R., Su, M.: How to make traditional advanced mathematics classrooms walks out of MOOC storm. In: 2018 International Conference on Social Science and Education Reform (ICSSER 2018). Atlantis Press (2018)
Wang, Z., Anderson, T., Chen, L.: How learners participate in connectivist learning: an analysis of the interaction traces from a cMOOC. Int. Rev. Res. Open Distrib. Learn. 19(1) (2018)
Bozkurt, A., Honeychurch, S., Caines, A., Bali, M., Koutropoulos, A., Cormier, D.: Community tracking in a cMOOC and nomadic learner behaviour identification on a connectivist rhizomatic learning network. Turkish Online J. Distance Educ. 17(4), 4–30 (2016)
Foroughi, A.: MOOCs: the enduring importance of “teacher presence.” J. High. Educ. Theory Pract. 16(6), 76 (2016)
Downes, S.: Applications, algorithms and data: open educational resources and the next generation of virtual learning (2017)
Joksimović, S., et al.: Exploring development of social capital in a CMOOC through language and discourse. Internet High. Educ. 36, 54–64 (2018)
Mahmod, M.A., Ali, A.M., Shah, A.: Massive open online courses as an augmentation of e-learning: a review. Int. J. Perceptive Cognit. Comput. 4(2), 1–4 (2018)
Dai, H.M., Teo, T., Rappa, N.: A understanding continuance intention among MOOC participants: the role of habit and MOOC performance. Comput. Hum. Behav. 112, 106455 (2020)
Newfield, C.: Aftermath of the MOOC wars: can commercial vendors support creative higher education? Learn. Teach. 9(2), 12–41 (2016)
Kaplan, A.M., Haenlein, M.: Higher education and the digital revolution: about MOOCs, SPOCs, social media, and the Cookie Monster. Bus. Horiz. 59(4), 441–450 (2016)
Renz, J., Schwerer, F., Meinel, C.: openSAP: Evaluating xMOOC usage and challenges for scalable and open enterprise education. Int. J. Adv. Corpo. Learn. (iJAC) 9(2), 34–39 (2016)
Ramírez-Montoya, M.S., Mena, J., Rodríguez-Arroyo, J.A.: In-service teachers’ self-perceptions of digital competence and OER use as determined by a xMOOC training course. Comput. Hum. Behav. 77, 356–364 (2017)
Chou, Y.K.: Actionable Gamification: Beyond Points, Badges, and Leaderboards. Packt Publishing Ltd., Birmingham (2019)
Rigóczki, C., Damsa, A., Györgyi-Ambró, K.: Gamification on the edge of educational sciences and pedagogical methodologies. J. Appl. Techn. Educ. Sci. 7(4), 79–88 (2017)
Morschheuser, B., Hassan, L., Werder, K., Hamari, J.: How to design gamification? A method for engineering gamified software. Inf. Softw. Technol. 95, 219–237 (2018)
Deterding, S., Dixon, D., Khaled, R., Nacke, L.: From game design elements to gamefulness: defining “gamification”. In: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, pp. 9–15 (2011)
Mavromihales, M., Holmes, V., Racasan, R.: Game-based learning in mechanical engineering education: case study of games-based learning application in computer aided design assembly. Int. J. Mech. Eng. Educ. 47(2), 156–179 (2019)
Glover, I.: Play as you learn: gamification as a technique for motivating learners. In: Edmedia+ innovate learning, pp. 1999–2008. Association for the Advancement of Computing in Education (AACE) (2013)
Nor, N.N., Sunar, M.S., Kapi, A.Y.: User experience of gamified virtual reality (VR) in sport: a review. In: Santos, H., Pereira, G., Budde, M., Lopes, S., Nikolic, P. (eds.) SmartCity 360 2019. LNICST, vol. 323, pp. 440–449. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-51005-3_36
Gorbunovs, A., Kapenieks, A., Cakula, S.: Self-discipline as a key indicator to improve learning outcomes in e-learning environment. Procedia Soc. Behav. Sci. 231, 256–262 (2016)
Kormos, J., Csizer, K.: The interaction of motivation, self-regulatory strategies, and autonomous learning behavior in different learner groups. TESOL Q. 48(2), 275–299 (2014)
Prasetya, D.D., Wibawa, A.P., Ahmar, A.S.: Design of web-based lightweight interactive multimedia for distance learning. In: Journal of Physics: Conference Series, vol. 1028, no. 1 (2018)
Reinhold, S., Gegenfurtner, A., Lewalter, D.: Social support and motivation to transfer as predictors of training transfer: testing full and partial mediation using meta-analytic structural equation modelling. Int. J. Train. Dev. 22(1), 1–14 (2018)
Rivard, R.: Measuring the MOOC dropout rate. Inside High. Educ. 8 (2013)
Ricart, S., Villar-Navascués, R.A., Gil-Guirado, S., Hernández, M., Rico-Amorós, A.M., Olcina-Cantos, J.: Could MOOC-takers’ behaviour discuss the meaning of success-dropout rate? Players, auditors, and spectators in a geographical analysis course about natural risks. Sustainability 12(12), 4878 (2020)
Cheek, D.W.: A panoramic view of the future of learning and the role of design(ers) in such experiences. In: Hokanson, B., Clinton, G., Tracey, M. (eds.) The Design of Learning Experience. ECTII, pp. 5–37. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16504-2_2
Adham, R., Parslow, P., Dimitriadi, Y., Lundqvist, K.Ø.: The use of avatars in gender segregated online learning within MOOCs in Saudi Arabia-A Rwaq case study. Int. Rev. Res. Open Distrib. Learn. 19(1) (2018)
Staubitz, T., Petrick, D., Bauer, M., Renz, J., Meinel, C.: Improving the peer assessment experience on MOOC platforms. In: Proceedings of the Third ACM Conference on Learning@ Scale, pp. 389–398 (2016)
Martínez-Núñez, M., Fidalgo-Blanco, Á., Borrás-Gené, O.: New challenges for the motivation and learning in engineering education using gamification in MOOC (2015)
Gené, O.B., Núñez, M.M., Blanco, Á.F.: Gamification in MOOC: challenges, opportunities and proposals for advancing MOOC model. In: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality (2014)
Klemke, R., Antonaci, A., Limbu, B.: Gamifire - a scalable, platform-independent infrastructure for meaningful gamification of MOOCs. In: Liapis, A., Yannakakis, G., Gentile, M., Ninaus, M. (eds.) GALA 2019. LNCS, vol. 11899, pp. 256–265. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-34350-7_25
Hew, K.F., Huang, B., Chu, K.W.S., Chiu, D.K.: Engaging Asian students through game mechanics: findings from two experiment studies. Comput. Educ. 92, 221–236 (2016)
Hanus, M.D., Fox, J.: Assessing the effects of gamification in the classroom: a longitudinal study on intrinsic motivation, social comparison, satisfaction, effort, and academic performance. Comput. Educ. 80, 152–161 (2015)
De-Marcos, L., Garcia-Lopez, E., Garcia-Cabot, A.: On the effectiveness of game-like and social approaches in learning: comparing educational gaming, gamification & social networking. Comput. Educ. 95, 99–113 (2016)
Fan, J., Wang, Z.: The impact of gamified interaction on mobile learning APP users’ learning performance: the moderating effect of users’ learning style. Behav. Inf. Technol., 1–14 (2020)
Liu, D., Santhanam, R., Webster, J.: Toward meaningful engagement: A framework for design and research of gamified information systems. MIS Q. 41(4) (2017)
Maller, J.B.: Cooperation and competition: an experimental study in motivation. Teach. Coll. Contrib. Educ. (1929)
Tauer, J.M., Harackiewicz, J.M.: The effects of cooperation and competition on intrinsic motivation and performance. J. Pers. Soc. Psychol. 86(6), 849 (2004)
Tran, V.D.: Does cooperative learning increase students’ motivation in learning? Int. J. High. Educ. 8(5), 12–20 (2019)
Liao, C.W., Chen, C.H., Shih, S.J.: The interactivity of video and collaboration for learning achievement, intrinsic motivation, cognitive load, and behaviour patterns in a digital game-based learning environment. Comput. Educ. 133, 43–55 (2019)
Miquel, E., Duran, D.: Peer learning network: implementing and sustaining cooperative learning by teacher collaboration. J. Educ. Teach. 43(3), 349–360 (2017)
Panadero, E., Jonsson, A., Botella, J.: Effects of self-assessment on self-regulated learning and self-efficacy: four meta-analyses. Educ. Res. Rev. 22, 74–98 (2017)
Martelli, E.: International student perceptual challenges and coping within higher education (2020)
Bharathi, A.K.B.G., Singh, A., Tucker, C.S., Nembhard, H.B.: Knowledge discovery of game design features by mining user-generated feedback. Comput. Hum. Behav. 60, 361–371 (2016)
Vansteenkiste, M., Deci, E.L.: Competitively contingent rewards and intrinsic motivation: can losers remain motivated? Motiv. Emot. 27(4), 273–299 (2003)
Reeves, N., West, P., Simperl, E.: A game without competition is hardly a game: the impact of competitions on player activity in a human computation game. In: AAAI (2018)
Huang, S.C., Etkin, J., Jin, L.: How winning changes motivation in multiphase competitions. J. Pers. Soc. Psychol. 112(6), 813 (2017)
Acknowledgement
This research was partially supported by Ministry of Higher Education and Media and Game Innovation Centre of Excellence, Institute of Human Centered Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia through Malaysia Research University Network research grant (R.J130000.7809.4L870).
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Tan, W.K., Sunar, M.S., Goh, E.S. (2022). Review of Gamified MOOC’s Impact Toward Learner’s Motivation in Learning Effectiveness Context. In: Lv, Z., Song, H. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-030-99188-3_12
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