Effects of Gamification on Behavioral and Cognitive Engagement of Students in the Online Learning Environment

References

• Affouneh, S., Salha, S., & Khlaif, Z. N. (2020). Designing quality e-learning environments for emergency remote teaching in coronavirus crisis. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(2), 135–137. https://doi.org/10.30476/ijvlms.2020.86120.1033
   Google Scholar
• Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16–25. https://doi.org/10.5539/hes.v10n3p16
   Google Scholar
• Altınpulluk, H. (2020). Oyunlaştırma. In M. Kesim & T. V. Yüzer (Eds.), Açık ve Uzaktan Öğrenmenin Teknoloji Boyutu (1st ed., pp. 111–130). Pegem Akademi. https://doi.org/10.14527/9786257052016
   Google Scholar
• Altmeyer, M., Lessel, P., Jantwal, S., Muller, L., Daiber, F., & Krüger, A. (2021). Potential and effects of personalizing gameful fitness applications using behavior change intentions and Hexad user types. User Modeling and User-Adapted Interaction, 31(4), 675–638. https://doi.org/10.1007/s11257-021-09288-6
   Web of Science ®Google Scholar
• Antonaci, A., Klemke, R., & Specht, M. (2019). The effects of gamification in online learning environments: A systematic literature review. Informatics, 6(3), 32. https://doi.org/10.3390/informatics6030032
   Web of Science ®Google Scholar
• Barata, G., Gama, S., Jorge, J., & Gonçalves, D. (2017). Studying student differentiation in gamified education: A long-term study. Computers in Human Behavior, 71, 550–585. https://doi.org/10.1016/j.chb.2016.08.049
   Web of Science ®Google Scholar
• Bates, A. W. (2019). Teaching in a digital age: Guidelines for designing teaching and learning (2nd ed.). Tony Bates Associates Ltd.
   Google Scholar
• Bolliger, D. U., & Halupa, C. (2018). Online student perceptions of engagement, transactional distance, and outcomes. Distance Education, 39(3), 299–316. https://doi.org/10.1080/01587919.2018.1476845
   Web of Science ®Google Scholar
• Carvalho, A., Areal, N., & Silva, J. (2011). Students’ perceptions of Blackboard and Moodle in a Portuguese university. British Journal of Educational Technology, 42(5), 824–841. https://doi.org/10.1111/j.1467-8535.2010.01097.x
   Web of Science ®Google Scholar
• Castro, K. A. C., Sibo, Í. P. H., & Ting, I.-H. (2018). Assessing gamification effects on e-learning platforms: An experimental case. In L. D. Uden & J. Ristvej (Ed.), Learning technology for education challenges (Vol. 870, pp. 3–14). Springer. https://doi.org/10.1007/978-3-319-95522-3_1
   Google Scholar
• Chen, Y., Wang, Y., & Chen, N.-S. (2014). Is FLIP enough? Or should we use the FLIPPED model instead? Computers & Education, 79, 16–27. https://doi.org/10.1016/j.compedu.2014.07.004
   Web of Science ®Google Scholar
• Cho, M.-H., & Cho, Y. (2014). Instructor scaffolding for interaction and students' academic engagement in online learning: Mediating role of perceived online class goal structures. The Internet and Higher Education, 21, 25–30. https://doi.org/10.1016/j.iheduc.2013.10.008
   Web of Science ®Google Scholar
• Chou, S. W., & Liu, C. H. (2005). Learning effectiveness in a web‐based virtual learning environment: A learner control perspective. Journal of Computer Assisted Learning, 21(1), 65–76. https://doi.org/10.1111/j.1365-2729.2005.00114.x
   Web of Science ®Google Scholar
• Cömert, Z., & Samur, Y. (2021). A comprehensive player types model: Player head. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2021.1914113
   Web of Science ®Google Scholar
• Crisp, G. T. (2014). Assessment in next generation learning space. In K. Fraser (Ed.), The future of learning and teaching in next generation learning spaces (Vol. 12, pp. 85–100). Emerald Group Publishing Limited. https://doi.org/10.1108/S1479-362820140000012009
   Google Scholar
• Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience: Steps toward enhancing the quality of life. HarperPerennial.
   Google Scholar
• Czerkawski, B. C., & Lyman, E. W. (2016). An instructional design framework for fostering student engagement in online learning environments. TechTrends, 60(6), 532–539. https://doi.org/10.1007/s11528-016-0110-z
   Web of Science ®Google Scholar
• Darejeh, A., & Salim, S. S. (2016). Gamification solutions to enhance software user engagement–A systematic review. International Journal of Human-Computer Interaction, 32(8), 613–642. https://doi.org/10.1080/10447318.2016.1183330
   Web of Science ®Google Scholar
• Dehghanzadeh, H., Fardanesh, H., Hatami, J., Talaee, E., & Noroozi, O. (2021). Using gamification to support learning English as a second language: A systematic review. Computer Assisted Language Learning, 34(7), 934–924. https://doi.org/10.1080/09588221.2019.1648298
   Web of Science ®Google Scholar
• De-Marcos, L., Domínguez, A., Saenz-de-Navarrete, J., & Pagés, C. (2014). An empirical study comparing gamification and social networking on e-learning. Computers & Education, 75, 82–91. https://doi.org/10.1016/j.compedu.2014.01.012
   Web of Science ®Google Scholar
• Deng, L., & Tavares, N. J. (2013). From Moodle to Facebook: Exploring students’ motivation and experiences in online communities. Computers & Education, 68, 167–176. https://doi.org/10.1016/j.compedu.2013.04.028
   Web of Science ®Google Scholar
• Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification.” In A. Lugmayr, H. Franssila, C. Safran & I. Hammouda (Eds.), Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9–15). Association for Computing Machinery (ACM). https://doi.org/10.1145/2181037.2181040
   Google Scholar
• Dias, J. (2017). Teaching operations research to undergraduate management students: The role of gamification. The International Journal of Management Education, 15(1), 98–111. https://doi.org/10.1016/j.ijme.2017.01.002
   Web of Science ®Google Scholar
• Dichev, C., & Dicheva, D. (2017). Gamifying education: What is known, what is believed and what remains uncertain: A critical review. International Journal of Education Technology in Higher Education, 14(1), 9. https://doi.org/10.1186/s41239-017-0042-5
   Web of Science ®Google Scholar
• Dixson, M. D. (2015). Measuring student engagement in the online course: The Online Student Engagement scale (OSE). Online Learning, 19(4), n4. https://doi.org/10.24059/olj.v19i4.561
   Web of Science ®Google Scholar
• Domínguez, A., Saenz-De-Navarrete, J., De-Marcos, L., FernáNdez-Sanz, L., PagéS, C., & MartíNez-HerráIz, J.-J. (2013). Gamifying learning experiences: Practical implications and outcomes. Computers & Education, 63, 380–392. https://doi.org/10.1016/j.compedu.2012.12.020
   Web of Science ®Google Scholar
• Eyal, N., & Hoover, R. (2014). Hooked: How to build habit-forming products. Penguin Group.
   Google Scholar
• Fleming, M. L. (1993). Instructional message design: Principles from the behavioral and cognitive sciences (2nd ed.). Educational Technology Publications Englewood Cliffs.
   Google Scholar
• Fogg, B. J. (2009). A behavior model for persuasive design. In S. Chatterjee & P. Dev (Eds.), Proceedings of the 4th International Conference on Persuasive Technology (Article No. 40, pp. 1–7). Association for Computing Machinery (ACM). https://doi.org/10.1145/1541948.1541999
   Google Scholar
• Fraenkel, J., Wallen, N., & Hyun, H. (2018). How to design and evaluate research in education (10th ed.). McGraw-Hill Education.
   Google Scholar
• Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
   Web of Science ®Google Scholar
• Gaughan, J. E. (2014). The flipped classroom in world history. The History Teacher, 47(2), 221–244. https://www.jstor.org/stable/43264225
   Google Scholar
• Golladay, R. M., Prybutok, V. R., & Huff, R. A. (2000). Critical success factors for the online learner. Journal of Computer Information Systems, 40(4), 69–71. https://doi.org/10.1080/08874417.2000.11647468
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis: Global edition (7th ed.). Pearson.
   Google Scholar
• Hanus, M. D., & Fox, J. (2015). Assessing the effects of gamification in the classroom: A longitudinal study on intrinsic motivation, social comparison, satisfaction, effort, and academic performance. Computers & Education, 80, 152–161. https://doi.org/10.1016/j.compedu.2014.08.019
   Web of Science ®Google Scholar
• Hew, K. F., Huang, B., Chu, K. W. S., & Chiu, D. K. (2016). Engaging Asian students through game mechanics: Findings from two experiment studies. Computers & Education, 92-93, 221–236. https://doi.org/10.1016/j.compedu.2015.10.010
   Web of Science ®Google Scholar
• Ho, R. (2006). Handbook of univariate and multivariate data analysis and interpretation with SPSS. Chapman & Hall/CRC Press.
   Google Scholar
• Holley, D., & Oliver, M. (2010). Student engagement and blended learning: Portraits of risk. Computers & Education, 54(3), 693–700. https://doi.org/10.1016/j.compedu.2009.08.035
   Web of Science ®Google Scholar
• Huang, B., Hew, K. F., & Lo, C. K. (2019). Investigating the effects of gamification-enhanced flipped learning on undergraduate students’ behavioral and cognitive engagement. Interactive Learning Environments, 27(8), 1106–1126. https://doi.org/10.1080/10494820.2018.1495653
   Web of Science ®Google Scholar
• Huang, W. H. Y., & Soman, D. (2013). A practitioner’s guide to gamification of education. Rotman School of Management, University of Toronto. https://inside.rotman.utoronto.ca/behaviouraleconomicsinaction/files/2013/09/GuideGamificationEducationDec2013.pdf
   Google Scholar
• Ibáñez, M.-B., Di-Serio, A., & Delgado-Kloos, C. (2014). Gamification for engaging computer science students in learning activities: A case study. IEEE Transactions on Learning Technologies, 7(3), 291–301. https://doi.org/10.1109/TLT.2014.2329293
   Web of Science ®Google Scholar
• Iris, R., & Vikas, A. (2011). E-Learning technologies: A key to dynamic capabilities. Computers in Human Behavior, 27(5), 1868–1874. https://doi.org/10.1016/j.chb.2011.04.010
   Web of Science ®Google Scholar
• Islam, A. K. M. N. (2013). Investigating e-learning system usage outcomes in the university context. Computers & Education, 69, 387–399. https://doi.org/10.1016/j.compedu.2013.07.037
   Web of Science ®Google Scholar
• Keller, J., & Suzuki, K. (2004). Learner motivation and e-learning design: A multinationally validated process. Journal of Educational Media, 29(3), 229–239. https://doi.org/10.1080/1358165042000283084
   Google Scholar
• Kim, A. J. (2014). The player’s journey. http://amyjokim.com/blog/2014/04/08/the-players-journey/
   Google Scholar
• Kim, H. J., Hong, A. J., & Song, H.-D. (2019). The roles of academic engagement and digital readiness in students’ achievements in university e-learning environments. International Journal of Educational Technology in Higher Education, 16(1), 21. https://doi.org/10.1186/s41239-019-0152-3
   Google Scholar
• Kim, T.-D., Yang, M.-Y., Bae, J., Min, B.-A., Lee, I., & Kim, J. (2017). Escape from infinite freedom: Effects of constraining user freedom on the prevention of dropout in an online learning context. Computers in Human Behavior, 66, 217–231. https://doi.org/10.1016/j.chb.2016.09.019
   Web of Science ®Google Scholar
• Kokoç, M., & Altun, A. (2019). Building a learning experience: What do learners’ online interaction data imply?. In D. G. Sampson, D. Ifenthaler, J. M. Spector, P. Isaias, & S. Sergis (Eds.), Learning technologies for transforming teaching, learning and assessment at large scale (pp. 55–70). Springer.
   Google Scholar
• Kuh, G. D. (2009). What student affairs professionals need to know about student engagement. Journal of College Student Development, 50(6), 683–706. https://doi.org/10.1353/csd.0.0099
   Web of Science ®Google Scholar
• Lewis, A. D., Huebner, E. S., Malone, P. S., & Valois, R. F. (2011). Life satisfaction and student engagement in adolescents. Journal of Youth and Adolescence, 40(3), 249–262. https://doi.org/10.1007/s10964-010-9517-6
   PubMed Web of Science ®Google Scholar
• Lo, C. K., & Hew, K. F. (2020). A comparison of flipped learning with gamification, traditional learning, and online independent study: The effects on students’ mathematics achievement and cognitive engagement. Interactive Learning Environments, 28(4), 464–481. https://doi.org/10.1080/10494820.2018.1541910
   Web of Science ®Google Scholar
• Looyestyn, J., Kernot, J., Boshoff, K., Ryan, J., Edney, S., & Maher, C. (2017). Does gamification increase engagement with online programs? A systematic review. PLoS One, 12(3), e0173403. https://doi.org/10.1371/journal.pone.0173403
   PubMed Web of Science ®Google Scholar
• Marczewski, A. (2015). Even Ninja monkeys like to play: Gamification, game thinking and motivational design (1st ed.). CreateSpace Independent Publishing Platform.
   Google Scholar
• Marczewski, A. (2016). Marczewski’s user type reverse analysis tool. https://gamified.uk/UserTypeAnalysis/analysis.php
   Google Scholar
• Marczewski, A. (2017). A revised gamification design framework. https://www.gamified.uk/2017/04/06/revised-gamification-design-framework/
   Google Scholar
• Mayer, R. E. (2003). The promise of multimedia learning: Using the same instructional design methods across different media. Learning and Instruction, 13(2), 125–139. https://doi.org/10.1016/S0959-4752(02)00016-6
   Web of Science ®Google Scholar
• Mekler, E. D., Brühlmann, F., Tuch, A. N., & Opwis, K. (2017). Towards understanding the effects of individual gamification elements on intrinsic motivation and performance. Computers in Human Behavior, 71, 525–534. https://doi.org/10.1016/j.chb.2015.08.048
   Web of Science ®Google Scholar
• Moore, C., Shulock, N. (2009). Student progress toward degree completion: Lessons from the research literature. California State University, Sacramento, Institute for Higher Education Leadership & Policy. https://www.csuchico.edu/gradinitiative/_assets/documents/ihelp-student-progress-toward-degree-completion.pdf
   Google Scholar
• Moore, M. G. (1993). Theory of transactional distance. In D. Keegan (Ed.), Theoretical principles of distance education (pp. 22–38). Routledge. https://doi.org/10.4324/9780203983065
   Google Scholar
• Murray, J. (2018). Student-led action for sustainability in higher education: A literature review. International Journal of Sustainability in Higher Education, 19(6), 1095–1110. https://doi.org/10.1108/IJSHE-09-2017-0164
   Web of Science ®Google Scholar
• O’Flaherty, J., & Phillips, C. (2015). The use of flipped classrooms in higher education: A scoping review. The Internet and Higher Education, 25, 85–95. https://doi.org/10.1016/j.iheduc.2015.02.002
   Web of Science ®Google Scholar
• Pink, D. H. (2009). Drive: The surprising truth about what motivates us. Penguin Group, Inc.
   Google Scholar
• Raitskaya, L., & Tikhonova, E. (2019). Gamification as a field landmark in educational research. Journal of Language & Education, 5(3), 4–10. https://doi.org/10.17323/jle.2019.10688
   Web of Science ®Google Scholar
• Rakic, S., Softic, S., Vilkas, M., Lalic, B., & Marjanovic, U. (2018). Key indicators for student performance at the e-Learning platform: An SNA approach. In F. Jakab (Ed.), 2018 16th international conference on emerging eLearning technologies and applications (pp. 463–468). IEEE Xplore. https://doi.org/10.1109/ICETA.2018.8572236
   Google Scholar
• Redmond, P., Abawi, L.-A., Brown, A., Henderson, R., & Heffernan, A. (2018). An online engagement framework for higher education. Online Learning, 22(1), 183–204. https://doi.org/10.24059/olj.v22i1.1175
   Web of Science ®Google Scholar
• Reich, J. (2014). MOOC completion and retention in the context of student intent. EDUCAUSE Review Online. https://er.educause.edu/articles/2014/12/mooc-completion-and-retention-in-the-context-of-student-intent
   Google Scholar
• Reich, J., & Ruipérez-Valiente, J. A. (2019). The MOOC pivot. Science, 363(6423), 130–131. https://doi.org/10.1126/science.aav7958
   PubMed Web of Science ®Google Scholar
• Rigby, S., & Ryan, R. M. (2011). Glued to games: How video games draw us in and hold us spellbound: How video games draw us in and hold us spellbound. Greenwood Publishing.
   Google Scholar
• Rubin, B., Fernandes, R., Avgerinou, M. D., & Moore, J. (2010). The effect of learning management systems on student and faculty outcomes. The Internet and Higher Education, 13(1-2), 82–83. https://doi.org/10.1016/j.iheduc.2009.10.008
   Web of Science ®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. https://doi.org/10.1006/ceps.1999.1020
   PubMed Web of Science ®Google Scholar
• Santos, A. C. G., Oliveira, W., Hamari, J., Rodrigues, L., Toda, A. M., Palomino, P. T., & Isotani, S. (2021). The relationship between user types and gamification designs. User Modeling and User-Adapted Interaction, 31(5), 907–934. https://doi.org/10.1007/s11257-021-09300-z
   Google Scholar
• Seaborn, K., & Fels, D. I. (2015). Gamification in theory and action: A survey. International Journal of Human-Computer Studies, 74, 14–31. https://doi.org/10.1016/j.ijhcs.2014.09.006
   Web of Science ®Google Scholar
• Sezgin, S. (2020). Digital player typologies in gamification and game-based learning approaches: A meta-synthesis. Bartin University Journal of Faculty of Education, 9(1), 49–68. https://doi.org/10.14686/buefad.610524
   Google Scholar
• Sezgin, S., Bozkurt, A., Yılmaz, E. A., & van der Linden, N. (2018). Gamification, education and theoretical approaches: Motivation, engagement and sustainability in learning processes. Mehmet Akif Ersoy University Journal of Education Faculty, 45, 169–189. https://doi.org/10.1590/1807-7692bar2019180103
   Google Scholar
• Silva, R. J. R. d., Rodrigues, R. G., & Leal, C. T. P. (2019). Gamification in management education: A systematic literature Review. BAR-Brazilian Administration Review, 16(2), e180103. https://doi.org/10.1177/003172170909000905
   Google Scholar
• Stansbury, J. A., & Earnest, D. R. (2017). Meaningful gamification in an industrial/organizational psychology course. Teaching of Psychology, 44(1), 38–45. https://doi.org/10.1177/0098628316677645
   Web of Science ®Google Scholar
• Sweller, J. (2005). Implications of cognitive load theory for multimedia learning. In R. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 19–30). Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.003
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Pearson.
   Google Scholar
• Taşkın, N., & Erzurumlu, K. (2021). Investigation into online learning readiness of higher education students during COVID-19 pandemic. Malaysian Online Journal of Educational Technology, 9(3), 24–39. https://doi.org/10.52380/mojet.2021.9.3.257
   Google Scholar
• Taşkın, N., & Kiliç Çakmak, E. (2020). Adaptation of modified gamification user types scale into Turkish. Contemporary Educational Technology, 12(2), ep268. https://doi.org/10.30935/cedtech/7942
   Google Scholar
• Tondello, G. F., Mora, A., Marczewski, A., & Nacke, L. E. (2019). Empirical validation of the gamification user types hexad scale in English and Spanish. International Journal of Human-Computer Studies, 127, 95–111. https://doi.org/10.1016/j.ijhcs.2018.10.002
   Web of Science ®Google Scholar
• Tsay, C. H.-H., Kofinas, A., & Luo, J. (2018). Enhancing student learning experience with technology-mediated gamification: An empirical study. Computers & Education, 121, 1–17. https://doi.org/10.1016/j.compedu.2018.01.009
   Web of Science ®Google Scholar
• Tyler-Smith, K. (2006). Early attrition among first time eLearners: A review of factors that contribute to drop-out, withdrawal and non-completion rates of adult learners undertaking eLearning programmes. Journal of Online Learning and Teaching, 2(2), 73–85. https://jolt.merlot.org/Vol2_No2.htm
   Google Scholar
• Vrasidas, C. (2000). Constructivism versus objectivism: Implications for interaction, course design, and evaluation in distance education. International Journal of Educational Telecommunications, 6(4), 339–362. https://www.vrasidas.com/wp-content/uploads/2007/07/continuum.pdf
   Google Scholar
• Werbach, K., & Hunter, D. (2012). For the win: How game thinking can revolutionize your business. Wharton Digital Press.
   Google Scholar
• Winn, W. (1990). Some implications of cognitive theory for instructional design. Instructional Science, 19(1), 53–69. https://doi.org/10.1007/BF00377985
   Web of Science ®Google Scholar
• Yuen, K., Lee, S., & Tsang, E. Y. (2011). Reasons for dropping out in distance learning. International Journal of Continuing Education and Lifelong Learning, 3(2), 25–41. http://hdl.voced.edu.au/10707/175767
   Google Scholar
• Zhu, H., Kock, A., Wentker, M., & Leker, J. (2019). How does online interaction affect idea quality? The effect of feedback in firm‐internal idea competitions. Journal of Product Innovation Management, 36(1), 24–40. https://doi.org/10.1111/jpim.12442
   Web of Science ®Google Scholar