Student learning motivations in the field of management with (and without) gamification
DOI:
https://doi.org/10.35564/jmbe.2020.0005Keywords:
motivation, gamification, accounting, marketing, studentsAbstract
This study applied the Academic Motivation Scale (AMS) by Vallerand et al. (1992), adapted for the Accounting and Marketing Academic Motivation Scale (AMAMS) in order to analyse who is the motivation level of Portuguese undergraduate students who were attending the Curricular Units (CUs) of Accounting and Marketing, in the beginning, and in the end of 2017/2018 academic year. This longitudinal empirical study reports motivation evolution level of students who studied Accounting and Marketing knowledge areas at two different temporal moments, with and without gamified teaching resource, during the classes. The final goal of this study is to analyse the motivation evolution with and without application of the gamified resources in the teaching process.The study included a total sample of 1923 students divided into two groups: the Gamified Group (GG) and the Control Group (CG) and with their motivations subject to evaluation prior to the beginning of classes (Moment 1 – M1) and at the end of the scheduled classes (Moment 2 – M2). The results enable the verification that the GG students experienced an increase in their Motivation to Learn (IMTK) between M1 and M2 greater than the CG students.
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Alivernini, F., & Lucidi, F. (2011). Relationship between social context, self-efficacy, motivation, academic achievement, and intention to drop out of high school: A longitudinal study. The Journal of Educational Research, 104(4), 241–252.
https://doi.org/10.1080/00220671003728062
Baker, R. K., & White, K. M. (2010). Predicting adolescents’ use of social networking sites from an extended theory of planned behaviour perspective. Computers in Human Behavior, 26(6), 1591–1597.
https://doi.org/10.1016/j.chb.2010.06.006
Barkoukis, V., Tsorbatzoudis, H., Grouios, G., & Sideridis, G. (2008). The assessment of intrinsic and extrinsic motivation and amotivation: Validity and reliability of the Greek version of the Academic Motivation Scale. Assessment in Education: Principles, Policy & Practice, 15(1), 39–55.
https://doi.org/10.1080/09695940701876128
Black, A. E., & Deci, E. L. (2000). The effects of instructors’ autonomy support and students’ autonomous motivation on learning organic chemistry: A self-determination theory perspective. Science Education, 84(6), 740–756.
https://doi.org/10.1002/1098-237x(200011)84:6<740::aid-sce4>3.0.co;2-3
Boekaerts, M. (2002). Educatioanl Practice Series-10: Motivation to Learn. Chicago: IAE Educational Practices Series University of Illinois.
Boyle, E. A., Hainey, T., Connolly, T. M., Gray, G., Earp, J., Ott, M., … Pereira, J. (2016). An update to the systematic literature review of empirical evidence of the impacts and outcomes of computer games and serious games. Computers and Education, 94, 178–192.
https://doi.org/10.1016/j.compedu.2015.11.003
Boyle, E. A., MacArthur, E. W., Connolly, T. M., Hainey, T., Manea, M., Kärki, A., & Van Rosmalen, P. (2014). A narrative literature review of games, animations and simulations to teach research methods and statistics. Computers & Education, 74, 1–14.
https://doi.org/10.1016/j.compedu.2014.01.004
Brophy, J. (1983). Conceptualizing student motivation. Educational Psychologist, 18(3), 200–215.
https://doi.org/10.1080/00461528309529274
Brophy, J. E. (2013). Motivating students to learn. Routledge.
Buckley, P., & Doyle, E. (2014). Gamification and student motivation. (June 2015), 37–41.
https://doi.org/10.1080/10494820.2014.964263
Buckley, P., & Doyle, E. (2016). Gamification and student motivation. Interactive Learning Environments, 24(6), 1162–1175.
https://doi.org/10.1080/10494820.2014.964263
Colquitt, J. A., & Simmering, M. J. (1998). Conscientiousness, goal orientation, and motivation to learn during the learning process: A longitudinal study. Journal of Applied Psychology, 83(4), 654.
https://doi.org/10.1037/0021-9010.83.4.654
Csikszentmihalyi, M. (1990). The domain of creativity.
Deci, E. L., Koestner, R., & Ryan, R. M. (2001). Extrinsic rewards and intrinsic motivation in education: Reconsidered once again. Review of Educational Research, 71(1), 1–27.
https://doi.org/10.3102/00346543071001001
Deci, E. L., & Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/Psychologie Canadienne, 49(1), 14.
https://doi.org/10.1037/0708-5591.49.3.262
Deci, E. L., & Ryan, R. M. (2012). Motivation, personality, and development within embedded social contexts: An overview of self-determination theory. The Oxford Handbook of Human Motivation, 85–107.
https://doi.org/10.1093/oxfordhb/9780195399820.013.0006
Diviani, N., & Meppelink, C. S. (2017). The impact of recommendations and warnings on the quality evaluation of health websites: An online experiment. Computers in human behavior, 71, 122–129.
https://doi.org/10.1016/j.chb.2017.01.057
Faiella, F., & Ricciardi, M. (2015). Gamification and learning: A review of issues and research. Journal of E-Learning and Knowledge Society, Vol. 11.
https://doi.org/10.20368/je-lks.v11i3.1072
Falout, J., Elwood, J., & Hood, M. (2009). Demotivation: Affective states and learning outcomes. System, 37(3), 403–417.
https://doi.org/10.1016/j.system.2009.03.004
Frith, C. (1997). Motivation to learn. University of Saskatchewan. Educational Communications and Technology.
Garrido, I. (1990). Motivacion, emocion y accion educativa. Âmbitos de Aplicacion de La Psicologia Motivacional, 284–343.
Gee, J. P. (2007). Good video games+ good learning. New York: Peter Lang.
Guay, F., Morin, A. J. S., Litalien, D., Valois, P., & Vallerand, R. J. (2015). Application of exploratory structural equation modeling to evaluate the academic motivation scale. The Journal of Experimental Education, 83(1), 51–82.
https://doi.org/10.1080/00220973.2013.876231
Hagger, M. S., Sultan, S., Hardcastle, S. J., & Chatzisarantis, N. L. D. (2015). Perceived autonomy support and autonomous motivation toward mathematics activities in educational and out-of-school contexts is related to mathematics homework behavior and attainment. Contemporary Educational Psychology, 41, 111–123.
https://doi.org/10.1016/j.cedpsych.2014.12.002
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. (2010). L.(2010). Multivariate data analysis. Pearson.
Hallam, S. (2009). Motivation to learn. The Oxford Handbook of Music Psychology, 285–294.
Hamari, J., & Eranti, V. (2011). Framework for designing and evaluating game achievements. Proc. DiGRA 2011: Think Design Play, 115(115), 122–134.
Hamari, J., & Koivisto, J. (2013). Social Motivations To Use Gamification: An Empirical Study Of Gamifying Exercise. ECIS, 105.
Hamari, J., Shernoff, D. J., Rowe, E., Coller, B., Asbell-Clarke, J., & Edwards, T. (2016). Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning. Computers in Human Behavior, 54, 170–179. 5
https://doi.org/10.1016/j.chb.2015.07.045
Harlen, W., & Deakin-Crick, R. (2010). Testing, Motivation And Learning. Readings for Learning to Teach in the Secondary School: A Companion to M Level Study, 276.
Huett, J. B., Kalinowski, K. E., Moller, L., & Huett, K. C. (2008). Improving the motivation and retention of online students through the use of ARCS-based e-mails. The Amer. Jrnl. of Distance Education, 22(3), 159–176.
https://doi.org/10.1080/08923640802224451
Joly, M. C. R. A., & Prates, E. A. R. (2011). Avaliação da escala de motivação acadêmica em estudantes paulistas: propriedades psicométricas. Psico-USF, 16(2), 175–184.
https://doi.org/10.1590/s1413-82712011000200006
Kafai, Y. B., & Burke, Q. (2015). Constructionist Gaming: Understanding the Benefits of Making Games for Learning. Educational Psychologist, 50(4), 313–334.
https://doi.org/10.1080/00461520.2015.1124022
Kiemer, K., Gröschner, A., Pehmer, A.-K., & Seidel, T. (2015). Effects of a classroom discourse intervention on teachers’ practice and students’ motivation to learn mathematics and science. Learning and Instruction, 35, 94–103.
https://doi.org/10.1016/j.learninstruc.2014.10.003
Landers. (2014). Developing a Theory of Gamified Learning: Linking Serious Games and Gamification of Learning. Simulation and Gaming, 45(6), 752–768.
https://doi.org/10.1177/1046878114563660
Lim, S. Y., & Chapman, E. (2015). Adapting the academic motivation scale for use in pre-tertiary mathematics classrooms. Mathematics Education Research Journal, 27(3), 331–357.
https://doi.org/10.1007/s13394-014-0140-9
Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.
https://doi.org/10.1016/j.chb.2010.12.009
Manero, B., Torrente, J., Serrano, Á., Martínez-Ortiz, I., & Fernández-Manjón, B. (2015). Can educational video games increase high school students’ interest in theatre? Computers & Education, 87, 182–191.
https://doi.org/10.1016/j.compedu.2015.06.006
Marôco, J. (2014). Análise estatística com o SPSS Statistics.
Marôco, João. (2010). Structural equation analysis: Theoretical fundamentals, software & applications. ReportNumber, Lda.
Meece, J. L. (1991). The classroom context and students’ motivational goals. Advances in Motivation and Achievement, 7, 261–285.
Pestana, M. H., & Gageiro, J. N. (2014). análise de dados para ciências sociais a complementaridade do spss 6 a edição Revista, Atualizada e Aumentada Maria Helena Pestana João Nunes Gageiro. (September), 1–2.
https://doi.org/10.13140/2.1.2491.7284
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. Handbook of Self-Regulation, 451, 451–502.
https://doi.org/10.1016/b978-012109890-2/50043-3
Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667.
https://doi.org/10.1037/0022-0663.95.4.667
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33.
https://doi.org/10.1037/0022-0663.82.1.33
Qian, M., & Clark, K. R. (2016). Game-based Learning and 21st century skills: A review of recent research. Computers in Human Behavior, 63, 50–58.
https://doi.org/10.1016/j.chb.2016.05.023
Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604–612.
https://doi.org/10.1016/j.chb.2016.05.084
Ratelle, C. F., Guay, F., Vallerand, R. J., Larose, S., & Senécal, C. (2007). Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis. Journal of Educational Psychology, 99(4), 734.
https://doi.org/10.1037/0022-0663.99.4.734
Reese, D. D. (2015). Affect during instructional video game learning. Emotions, Technology, and Games. New York, NY: Elsevier. Http://Www. Elsevier. Com/Books/Emotions-Technology-and-Digital-Games/Tettegah/978-0-12-801738-8.
https://doi.org/10.1016/b978-0-12-801738-8.00009-9
Ryan, R. M., & Deci, E. L. (2000a). Intrinsic and Extrinsic Motivations : Classic Definitions and New Directions. 67, 54–67.
https://doi.org/10.1006/ceps.1999.1020
Ryan, R. M., & Deci, E. L. (2000b). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68.
https://doi.org/10.1037/0003-066x.55.1.68
Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26(3–4), 207–231.
https://doi.org/10.1207/s15326985ep2603&4_2
Shernoff, D. J. (2013). Optimal learning environments to promote student engagement.
Smith, K. J., Davy, J. A., & Rosenberg, D. L. (2010). An examination of the validity of the Academic Motivation Scale with a United States business student sample. Psychological Reports, 106(2), 323–341.
https://doi.org/10.2466/pr0.106.2.323-341
Spittle, M., Jackson, K., & Casey, M. (2009). Applying self-determination theory to understand the motivation for becoming a physical education teacher. Teaching and Teacher Education, 25(1), 190–197.
https://doi.org/10.1016/j.tate.2008.07.005
Squire, K. (2011). Video Games and Learning: Teaching and Participatory Culture in the Digital Age. Technology, Education--Connections (the TEC Series). ERIC.
Stipek, D. J. (2002). Motivation to learn: Integrating theory and practice. Allyn & Bacon.
Stover, J. B., de la Iglesia, G., Boubeta, A. R., & Liporace, M. F. (2012). Academic Motivation Scale: adaptation and psychometric analyses for high school and college students. Psychology Research and Behavior Management, 5, 71.
https://doi.org/10.2147/prbm.s33188
Su, C.-H. (2016). The effects of students’ motivation, cognitive load and learning anxiety in gamification software engineering education: a structural equation modeling study. MULTIMEDIA TOOLS AND APPLICATIONS, 75(16), 10013–10036.
https://doi.org/10.1007/s11042-015-2799-7
Taylor, G., Jungert, T., Mageau, G. A., Schattke, K., Dedic, H., Rosenfield, S., & Koestner, R. (2014). A self-determination theory approach to predicting school achievement over time: The unique role of intrinsic motivation. Contemporary Educational Psychology, 39(4), 342–358.
https://doi.org/10.1016/j.cedpsych.2014.08.002
Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1–19.
https://doi.org/10.2190/4ynu-4tmb-22dj-an4w
Tóth-Király, I., Orosz, G., Dombi, E., Jagodics, B., Farkas, D., & Amoura, C. (2017). Cross-cultural comparative examination of the Academic Motivation Scale using exploratory structural equation modeling. Personality and Individual Differences, 106, 130–135.
https://doi.org/10.1016/j.paid.2016.10.048
Vaino, K., Holbrook, J., & Rannikmäe, M. (2012). Stimulating students’ intrinsic motivation for learning chemistry through the use of context-based learning modules. Chemistry Education Research and Practice, 13(4), 410–419.
https://doi.org/10.1039/c2rp20045g
Vallerand, R. J., Blais, M. R., Brière, N. M., & Pelletier, L. G. (1989). Construction et validation de l’échelle de motivation en éducation (EME). Canadian Journal of Behavioural Science/Revue Canadienne Des Sciences Du Comportement, 21(3), 323.
https://doi.org/10.1037/h0079855
Vallerand, R. J., & Blssonnette, R. (1992). Intrinsic, extrinsic, and amotivational styles as predictors of behavior: A prospective study. Journal of Personality, 60(3), 599–620.
https://doi.org/10.1111/j.1467-6494.1992.tb00922.x
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017.
https://doi.org/10.1177/0013164492052004025
Vecchione, M., Alessandri, G., & Marsicano, G. (2014). Academic motivation predicts educational attainment: Does gender make a difference? Learning and Individual Differences, 32, 124–131.
https://doi.org/10.1016/j.lindif.2014.01.003
Vogel, J. J., Vogel, D. S., Cannon-Bowers, J., Bowers, C. A., Muse, K., & Wright, M. (2006). Computer gaming and interactive simulations for learning: A meta-analysis. Journal of Educational Computing Research, 34(3), 229–243.
https://doi.org/10.2190/flhv-k4wa-wpvq-h0ym
Wang, J. C. K., Hagger, M., & Liu, W. C. (2009). A cross-cultural validation of perceived locus of causality scale in physical education context. Research Quarterly for Exercise and Sport, 80(2), 313–325.
https://doi.org/10.1080/02701367.2009.10599566
Wlodkowski, R. J., & Ginsberg, M. B. (2017). Enhancing adult motivation to learn: A comprehensive guide for teaching all adults. John Wiley & Sons.
https://doi.org/10.37074/jalt.2019.2.2.18
Wu, W.-H., Wu, Y.-C. J., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817–827.
https://doi.org/10.1016/j.compedu.2012.03.016
Yen, H.-C., Tuan, H.-L., & Liao, C.-H. (2011). Investigating the influence of motivation on students’ conceptual learning outcomes in web-based vs. classroom-based science teaching contexts. Research in Science Education, 41(2), 211–224.
https://doi.org/10.1007/s11165-009-9161-x
Young, M.-L. (2012). An exploratory study of the cultural habits change process triggered by the use of IT: A faculty student knowledge-sharing platform case study. Educational Technology and Society, 15(4), 332–343.
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