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Articles

Motivational support from digital game-based learning environments (DGBLEs) for scientific topics designed by novice end users

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References

  • Ames, C., & Archer, J. (1988). Achievement goals in the classroom: Students’ learning strategies and motivation processes. Journal of Educational Psychology, 80, 260–267.
  • Amory, A. (2007). Game object model version II: A theoretical framework for educational game development. Educational Technology Research and Development, 55(1), 51–77.
  • Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. The Journal of the Learning Sciences, 13(1), 15–42.
  • del Blanco, Á., Torrente, J., Marchiori, E. J., Martínez-Ortiz, I., Moreno-Ger, P., & Fernández-Manjón, B. (2012). A framework for simplifying educator tasks related to the integration of games in the learning flow. Educational Technology & Society, 15(4), 305–318.
  • Dickey, M. D. (2005). Engaging by design: How engagement strategies in popular computer and video games can inform instructional design. Educational Technology Research and Development, 53(2), 67–83.
  • Ertmer, P. A., & Newby, T. J. (2013). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 26, 43–71.
  • Eseryel, D., Law, V., Ifenthaler, D., Ge, X., & Miller, R. (2014). An investigation of the interrelationships between motivation, engagement, and complex problem solving in game-based learning. Educational Technology & Society, 17(1), 42–53.
  • Fang, J., & Strobel, J. (2011). How ID models help with game-based learning: An examination of the gentry model in a participatory design project. Educational Media International, 48(4), 287–306.
  • Fischer, G. (2013). End-user development: From creating technologies to transforming cultures. In Y. Dittrich, M.M. Burnett, A.I. Morch, & D.F. Redmiles (Eds.) Proceedings from End-User Development: 4th International Symposium, IS-EUD 2013, Copenhagen, Denmark (pp. 217-222). Berlin/Heidelberg, Germany: Springer..
  • Gagné, R. M., & Briggs, L. J. (1974). Principles of instructional design. Oxford, England: Holt, Rinehart & Winstons.
  • Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation, and learning: A research and practice model. Simulation & Gaming, 33(4), 441–467.
  • Hirumi, A., Appelman, B., Rieber, L., & Van Eck, R. (2010a). Preparing instructional designers for game-based learning: Part 1. TechTrends, 54(3), 27–37.
  • Hirumi, A., Appelman, B., Rieber, L., & Van Eck, R. (2010b). Preparing instructional designers for game-based learning: Part 2. TechTrends, 54(4), 19–27.
  • Hmelo-Silver, C. E., & Pfeffer, M. G. (2004). Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science, 28(1), 127–138.
  • Huang, W, Johnson, T.E, & Han, S.H. (2013). Impact of online instructional game features on college students’ perceived motivational support and cognitive investment: a structural equation modeling study. The Internet and Higher Education, 17, 58 – 68.
  • Huang, W.H., Huang, W.Y., & Tschopp, J.A. (2010). Sustaining iterative game playing processes in dgbl: the relationship between motivational processing and outcome processing. Computers & Education, 55, 789 – 797.
  • Hwang, G. J., & Wu, P. H. (2012). Advancements and trends in digital game‐based learning research: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 43(1), E6–E10.
  • Kali, Y., McKenney, S., & Sagy, O. (2015). Teachers as designers of technology enhanced learning. Instructional Science, 43(2), 173–179.
  • Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38(1), 23–31.
  • Ke, F. (2016). Designing and integrating purposeful learning in game play: A systematic review. Educational Technology Research and Development, 64(2), 219–244.
  • Keller, J. M. (1983). Motivational design of instruction. In C. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status (Vol. I, pp. 383–434). London, UK: Routledge.
  • Keller, J. M. (1987a). Strategies for stimulating the motivation to learn. Performance and Instruction, 26, 1–7.
  • Keller, J. M. (1987b). The systematic process of motivational design. Performance and Instruction, 26, 1–8.
  • Keller, J. M. (2008). First principles of motivation to learn and e3‐learning. Distance Education, 29(2), 175–185.
  • Keller, J. M. (2010). Motivational design for learning and performance. New York: Springer.
  • Kim, C., & Pekrun, R. (2014). Emotions and motivation in learning and performance. In J. Spector, M. Merrill, J. Elen, & M. Bishop (Eds.), Handbook of research on educational communications and technology (pp. 65–75). New York, NY: Springer.
  • Kinzie, M. B., & Joseph, D. R. (2008). Gender differences in game activity preferences of middle school children: Implications for educational game design. Educational Technology Research and Development, 56(5–6), 643–663.
  • Koehler, M. J., & Mishra, P. (2005). What happens when teachers design educational technology? The development of technological pedagogical content knowledge. Journal of Educational Computing Research, 32(2), 131–152.
  • Kujala, S. (2003). User involvement: A review of the benefits and challenges. Behaviour & Information Technology, 22(1), 1–16.
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.
  • Li, M. C., & Tsai, C. C. (2013). Game-based learning in science education: A review of relevant research. Journal of Science Education and Technology, 22(6), 877–898.
  • Lin, C. H., Huang, S. H., Shih, J. L., Covaci, A., & Ghinea, G. (2017, July). Game-based learning effectiveness and motivation study between competitive and cooperative Modes. In Kinshuk, D.G. Sampson, R. Vasiu, M. Chang, N.-S. Chen & R. Huang (Eds.) Proceedings from Advanced Learning Technologies (ICALT), 2017 IEEE 17th International Conference (pp. 123-127). Piscataway, NJ: IEEE..
  • Perrotta, C., Featherstone, G., Aston, H., & Houghton, E. (2013). Game-Based Learning: Latest Evidence and Future Directions. Slough: National Foundation for Educational Research. Retrieved from https://www.nfer.ac.uk/game-based-learning-latest-evidence-and-future-directions
  • Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of game-based learning. Educational Psychologist, 50, 258–283.
  • Proske, A., Roscoe, R. D., & McNamara, D. S. (2014). Game-based practice versus traditional practice in computer-based writing strategy training: Effects on motivation and achievement. Educational Technology Research and Development, 62, 481–505.
  • Rey, G. D., & Buchwald, F. (2011). The expertise reversal effect: Cognitive load and motivational explanations. Journal of Experimental Psychology: Applied, 17, 33–48.
  • Ryan, R. M., & Deci, E. L. (2000a). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78.
  • Ryan, R. M., & Deci, E. L. (2000b). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.
  • Salen, K., & Zimmerman, E. (2005). Game design and meaningful play. In J. Raessens & J. H. Goldstein (Eds.), Handbook of computer game studies. Cambridge, MA: MIT.
  • Salen, K., & Zimmerman, E. (2004). Rules of play. Cambridge, MA: MIT.
  • Schiefele, U. (1991). Interest, learning, and motivation. Educational Psychologist, 26, 299–323.
  • Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26, 207–231.
  • Small, R. (2000). Motivation in instructional design. Teacher Librarian, 27, 29–31.
  • Song, S. H., & Keller, J. M. (2001). Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation. Educational Technology Research and Development, 49, 5–22.
  • Su, C. H., & Cheng, C. H. (2015). A mobile gamification learning system for improving the learning motivation and achievements. Journal of Computer Assisted Learning, 31(3), 268–286.
  • Sweller, J. (2016). Cognitive load theory, evolutionary educational psychology, and instructional design. In D.C. Geary & D.B. Berch (Eds.) Evolutionary Perspectives on Child Development and Education (pp. 291-306). Switzerland: Springer International Publishing.
  • Van Eck, R. (2006). Digital game-based learning: It’s not just the digital natives who are restless. EDUCAUSE Review, 41(2), 16–30.
  • Weiner, B. (2012). An attributional theory of motivation and emotion. Berlin, Heidelberg, Germany: Springer Science & Business Media.
  • Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.
  • Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior, 9(6), 772–775.

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