EĞİTSEL OYUNLARDA ÜSTBİLİŞ STRATEJİLERİ: BİR LİTERATÜR ARAŞTIRMASI

Year 2021, Issue: 86, 527 - 556, 24.05.2021

Serdar Engin Koç

Abstract

Eğitsel oyunlarla öğrenme ve öğretim etkinlikleri eğitimsel senaryolarda pek çok engelle karşılaşsa da, eğitsel oyunların eğitimi kısıtlı bir sürede bir adım daha ileriye götürmesi potansiyeli gözardı edilemez. Bugünkü eğitsel oyunlar yansıma ve gerekli becerilerin geliştirilebilmesi için yeterli fırsatı vermemekte ve düşük düzeyde öğrenme çıktıları ile değerlendirilmektedir. Bu yüzden üstbiliş eğitimi ya da eğitsel oyunlarda üstbiliş kullanımı için oyun-temelli araştırmalara gereksinim duyulduğu gözlemlenmiştir. Bilgisayar-temelli üstbiliş stratejilerini içeren araştırma çalışmalarının azlığı ve bu çalışmalarda kesin genellemeden çok bireysel durum çalışmaları şeklinde gerçekleştirildiği için bu alanda genel bir incelemenin gerekli olduğu kanısına varılmıştır. Bu araştırmanın amacı üstbiliş stratejilerinin eğitsel oyunlarda nasıl kullanıldığını ve oyun mekaniklerinin bu stratejileri oyunlara nasıl yerleştirdiğini anlamaktır. Araştırma modeli olarak literatür taramasına göre daha çok güncel konulara odaklı ve belli bir amaca hizmet edecek bir model olan literatür araştırması örnek alınmıştır. Bu modele dayanarak, eğitsel oyunlarda üstbiliş stratejilerinin kullanımını, bu kullanımın kavramsal kökenleri ve bunların öğrenme ve oyun mekaniklerinin tasarımına olan etkilerini irdeleyen bir araştırma yapılmıştır. İncelenen araştırmalar üstbiliş strateji kullanımına göre analiz edildiğinde modelleme, hatırlatma, yansıma ve izleme kategorileri ortaya çıkmıştır. En çok kullanılan üstbiliş stratejileri, yanlış düzeltme, güven geliştirme, yansıma ve problemleştirmedir. Bu bulgulara göre, oyun mekanikleri kullanılarak üstbiliş stratejilerinin nasıl kolaylaştırılacağına ilişkin öneriler ile gelecek araştırmalar için yönlendirmeler geliştirilmiştir.

Keywords

Üst Biliş Stratejileri, Eğitsel Oyunlar, Oyun Mekanikleri, Yansıma, Izleme, Modelleme.

References

• Anderson, N. J. (2002). The role of metacognition in second language teaching and learning. Report no. EDO-FL-01-10. Washington DC, WA: Clearinghouse on Information Resources (ERIC Document Reproduction Service No. ED 463 659).
• Arroyo, I., Woolf, B. P., Burelson, W., Muldner, K., Rai, D., & Tai, M. (2014). A multimedia adaptive tutoring system for mathematics that addresses cognition, metacognition and affect. International Journal of Artificial Intelligence in Education, 24, 387–426.
• Azevedo, R. (2005). Using Hypermedia as a Metacognitive Tool for Enhancing Student Learning? The Role of Self-Regulated Learning. Educational Psychologist, 40(4), 199-209, DOI: 10.1207/s15326985ep4004_2.
• Azevedo, R., Bouchet, F., Harley, J. M., Feyzi-Behnagh, R., Trevors, G., Duffy, M., Taub, M., Pacampara, N., Agnew, L., Griscom, S., Mudrick, N., Stead, V., Yang, W. (2011). MetaTutor: An intelligent multi-agent tutoring system designed to detect, track, model, and foster self-regulated learning. Proceedings of the Fourth Workshop on Self-Regulated Learning in Educational Technologies. In conjunction with the 15th International Conference on Artificial Intelligence on Education (AIED 2011).
• Azevedo, R., Witherspoon, A., Chauncey, A., Burkett, C., Fike, A. (2009). MetaTutor: A MetaCognitive tool for enhancing self-regulated learning.AAAI Fall Symposium - Technical Report. 14-19.
• Backlund, P., & Hendrix, M. (2013). Educational games-are they worth the effort? A literature survey of the effectiveness of serious games. Paper presented at Games and virtual worlds for serious applications (VS-GAMES), 2013 5th International conference on (pp. 1-8). IEEE.
• Barzilai, S, Blau, I. (2013). Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences. Computers and Education, 70(2014), 65-79.
• Bellotti, F., Bera, R., De Gloria, A., D’ursi, A., & Valentina, F. (2013). A serious game model for cultural heritage. Journal on Computing and Cultural Heritage 5(4), 1-27.
• Biswas, G., Leelawong, K., Schwartz, D., Vye, N. & The Teachable Agents Group at Vanderbilt. (2005). Learning by teaching: A new agent paradigm for educational software. Applied Artificial Intelligence, 19, 363–392.
• 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 & Education, 94, 178–192.
• Braad, E. (2018). Learn-to-Learn: Game-based learning for metacognition. Paper presented at the doctoral consortium of the Foundations of Digital Games conference (FDG’18). ACM, Malmö, Sweden.
• Braad, E., Degens, N., & Ijsselsteijn, W. (2019). Meco: A digital card game to enhance metacognitive awareness. In L. Elbaek, G. Majgaard, A. Valente, & S. Khalid (Eds.), Proceedings of the 13th International Conference on Game Based Learning, ECGBL 2019 (pp. 92-100). Dechema e.V. https://doi.org/10.34190/ GBL.19.066.
• Braad, E., Degens, N., & IJsselsteijn, W. A. (2020). Designing for metacognition in game- based learning: A qualitative review. Translational Issues in Psychological Science, 6(1), 53–69. https://doi.org/10.1037/tps0000217.
• Castronovo, F., van Meter, P., N., & Messner, J. I. (2018). Leveraging metacognitive prompts in construction educational games for higher educational gains. International Journal of Construction Management, DOI: 10.1080/15623599. 2018.1492760.
• Charles, D., Hanna, C., Paul, R., & Charles, T. (2012). Rapid development of games inspired metacognitive learning experiences using Moodle and Gamemaker. Paper presented at Proceedings of the 6th European Conference on Games Based Learning (pp 93–101).
• Clark, D. B., Tanner-Smith, E. E. & Killingsworth, S. S. (2016). Digital games, design, and learning: A systematic review and meta-analysis. Review of Educational Research, 86, 79–122.
• Clark, D., B., Virk, S., S., Barnes, J., & Adams, D., M. (2016). Self-explanation and digital games: adaptively increasing abstraction. Computers & Education, 103, 28-43.
• Cleary, T., Zimmerman, B. & Keating, T. (2006). Training physical education students to self-regulate during basketball free throw practice. Research Quarterly for Exercise and Sport, 77, 251-62. 10.1080/02701367.2006.10599358.
• Coucerio, R., M., Papastergiou, M., Kordaki M., Veloso, & A., I. (2013). Design and evaluation of a computer game forthe learning ofinformation and communication technologies concepts by physical education and sport science students. Educational Information Technology, 18, 531-554.
• de Smale, S., Overmans, T.,Jeuring,J., & van de Grint, L. (2015). The effect of simulations and games on learning objectives in tertiary education: A systematic review. Presented at Games and Learning Alliance 4th International Conference, GALA 2015 Rome. DOI: 10.1207/s15326985ep4004_8.
• Eckhardt, M., Urhahne, D., Conrad, O., & Harms, U. (2013). How effective isinstructional support for learning with computer simulations? Instructional Science, 41(1), 205–124.
• Erhel, S., & Jamet, E. (2013). Digital game-based learning: Impact of instructions and feedback on motivation and learning effectiveness. Computer Education, 67, 156-167.
• Fiorella, L. & Mayer, R. E. (2012). Paper-based aids for learning with a computer-based game. Journal of Educational Psychology, 104, 1074–1082.
• Flavell, J. H. (1976). Metacognitive aspects of problem solving. In L. B. Resnick (Ed.), The nature of intelligence (pp. 231–235). Hillsdale, NJ: Lawrence Erlbaum Associates.
• Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive- developmental inquiry. American Psychologist, 34, 906–911.
• Flavell, J. H. (1987). Speculations about the nature and development of metacognition. In F. E. Weinert and R. H. Kluwe (Eds), Metacognition, Motivation, and Understanding (pp. 21-29). Hillsdale, NJ: Lawrence Erlbaum.
• Fonseca, B., & Chi, M. T. H. (2011). Instruction based on self-explanation. In R. E. Mayer, & P. A. Alexander (Eds.), Educational psychology handbook: Handbook of research on learning and instruction (pp. 296-321). London, UK: Routledge Press.
• Games, A. (2010). Bug or Feature: the role of Gamestar Mechanic’s material dialog on the metacognitive game design strategies of players. E–Learning and Digital Media, 7(1).
• Garcia, I., Pacheocoa, C., Leona, A., Valco-Manaznob, J., A. (2020). A serious game for teaching the fundamentals of ISO/IEC/IEEE 29148 systems and software engineering – lifecycle processes – requirements engineering at undergraduate level. Computer Standards & Interfaces 67 (2020) 103377.
• Gebhard, P., Schneeberger ,T., Andre, E., Baur,T., Damian, I., Mehlmann, G., Konig, C., & Langer, M. (2019). Serious games for training social skills in job interviews. IEEE Transaction on Games, 11(4), 340-351.
• Georghiades, P. & Parla-Petrou, E. (2001). Diverse use of concept mapping across two domains: The cases of primary food and science education. Paper presented at the British Educational Research Association Annual Conference, University of Leeds, 13–15 September.
• Graesser, A. C., D’Mello, S. K. & Strain, A. C. (2014). Emotions in advanced learning technologies. In R. Pekrun, & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 473–493). New York, NY: Routledge.
• Greene,J.A. &Azevedo, R. (2010).The measurement of learners’self-regulated cognitive and metacognitive processes while using computer-based learning environments. Educational Psychologist, 45(4), 203–209.
• Halpern, D., F., Millis, K., Graesser, A., C., Butler, H., Forsyth, C., & Cai, Z. (2012). Operation ARA: a computerized learning game that teaches critical thinking and scientific reasoning. Thinking Skills and Creativity, 7 ,93-100.
• Hämäläinen, R. (2011). Using a game environment to foster collaborative learning: a design-based study. Technology, Pedagogy and Education, 20(1), 61- 78, DOI: 10.1080/1475939X.2011.554010.
• Jackson, G. T., & McNamara, D. S. (2013). Motivation and performance in a game- based intelligent tutoring system. Journal of Educational Psychology, 105, 1036–1049.
• Johnson, C. I. & Mayer, R. E. (2010). Adding the self-explanation principle to multimedia learning in a computer-based game-like environment. Computers in Human Behavior, 26, 1246–1252.
• Ke, F. (2016). Designing and integrating purposeful learning in game play: A systematic review. Educational Technology Research and Development, 64(2), 219-244.
• Kim, J. H. & Pedersen, S. (2011). Advancing young adolescents’ hypothesisdevelopment performance in a computer-supported and problem-based learning environment. Computers & Education, 57, 1780–1789.
• Konstantara, K., & Xinogalos S. (2018). Cells of war: A serious game for familiarizing players with the immune system. Simulation & Gaming, 49(5), 567–589.
• Lameras, P.,Arnab, S., Dunwell, I., Stewart, C., Clarke, S., & Petridis, P. (2016). Essential features of serious games design in higher education: Linking learning attributes to game mechanics. British Journal of Educational Technology, 48(4),972-994. doi:10.1111/bjet.12467.
• Lane, C. H. (2009). Promoting Metacognition in Immersive Cultural Learning Environments. In Jacko, J. A. (Eds), Human-Computer Interaction. Novel Interaction Methods and Techniques. 13th International Conference, HCI International 2009, San Diego, CA, USA, July 19-24, 2009, Proceedings, Part II.
• Law, V. & Chen, C. (2020). Promoting science learning in game-based learning with question prompts and feedback. Computers & Education, 103, 134-143.
• Lin, X. (2001). Designing metacognitive activities. Educational Technology Research and Development, 49(2), 23–40.
• Lin, Y. L., & Tu, Y. Z. (2012). The values of college students in business simulation game: A means-end chain approach. Computers & Education, 58(4), 1160–1170.
• Liu, S. & Liu, M. (2020). The impact of learner metacognition and goal orientation on problem solving in a serious game environment. Computers in Human Behavior 102, 151-165.
• Mayer, R. E., & Johnson, C. I. (2010). Adding instructional features that promote learning in a game-like environment. Journal of Educational Computing Research, 42, 241–265.
• McKeachie, W.J. (2000). Helping students learn how to learn. (ERIC Document Reproduction Service No. ED 450 864).
• Molenaar, I., van Boxtel, C. A. M. & Sleegers, P. J. C. (2011). Metacognitive scaffolding in an innovative learning arrangement. Instructional Science, 39(6), 785–803.
• Morris, B. J., Croker, S., Zimmerman, C., Gill, D. & Romig, C. (2013). Gaming science: The Gamification ofscientific thinking. Frontiers in Psychology, 4. doi: 10.3389/ fpsyg.2013.00607 PMID:24058354.
• Moser, S., Zumbach, J. & Deibl, I. (2017). The Effect of Metacognitive Training and Prompting on Learning Success in Simulation-based Physics Learning. Science Education, 101, 944–967.
• Nelson, T. O. & Narens, L. (1990). Metamemory: A theoretical framework and some new findings. In G. H. Bower (Ed.), The psychology of learning and motivation (pp. 125–173). New York: Academic Press.
• Neulight, N., Kafai, Y. B., Kao, L., Foley, B., & Galas, C. (2007). Children’s participation in a virtual epidemic in the science classroom: Making connections to natural infectious diseases. Journal of Science Education and Technology, 16, 47–58.
• Nietfeld, J. L. (2018). The role of self-regulated learning in digital games. In Schunk & Greene (Eds.), Educational psychology handbook series. Handbook of self- regulation of learning and performance (p. 271–284). Routledge/Taylor & Francis Group.
• O’Neil, H. F., Baker, E. L., Perez, R. S. (2016). Using games and simulations for teaching and assessment key issues. Routledge. New York and London.
• O’Neil, H. F., Chung, G. K. W. K., Kerr, D., Vendlinski, T. P., Buschang, R. E. & Mayer, R. E. (2014). Adding self-explanation prompts to an educational computer game. Computers in Human Behavior, 30, 23–28.
• Orvis, K. A., Horn, D. B., & Belanich, J. (2009). An examination of the role of individual differences play in videogame-based learning. Military Psychology, 21, 461– 481.
• Piksööt, Ö. J. & Sarapuu, T. (2015). Supporting students’ knowledge transfer in modeling activities. Journal of Educational Computing, 50(2), 213–229.
• Pressley, M. (1990). Cognitive strategy instruction that really improves children’s academic performance. Cambridge, MA: Brookline Books.
• Rajan, P., Raju, P., & Sankar, C.S. (2013). Serious Games to Improve Student Learning in Engineering Classes. Paper presented at 120thASEE Annual Conference & Exposition, 23-26 June, 2013, Atlanta, Georgia. https://peer.asee.org/22448 Accessed 2 Oct 2016.
• Reimer, V., Schrader, C. (2016). Impacts of behavioral engagement and self-monitoring on the development of mental models through serious games: Inferences from in-game measures. Computers in Human Behavior, 64, 264-273.
• Riemer, V. & Schrader C. (2016). Impacts of behavioral engagement and self-monitoring on the development of mental models through serious games: Inferences from in-game measures. Computers in Human Behavior, 64, 264–273. 10.1016/ j.chb.2016.06.057.
• Sabourin,J.L.,Mott,B.,&Lester,J.(2013). Discovering behavior patterns of selfregulated learners in an inquiry-based learning environment. Presented at Proceedings of 16th international Artificial intelligence in education conference (AIED 2013): LNCS 7926 (pp. 209-218). http://dx.doi.org/10.1007/978-3-642-39112-5_22.
• Salen, K. & Zimmerman, E. (2004). Rules of Play: Game Design Fundamentals. Massachusetts Institute of Technology.
• Sandberg, J. A. C., Wielinga, B. J., & Christoph, L. H. (2012). The role of prescriptive models in learning. Computers & Education, 59, 839–854.
• Silva, F. G. M. (2020). Practical methodology for the design of educationalserious games. Information 2020(11), 1-14.
• Sitzmann, T. (2011). A meta-analytic examination of the instructional effectiveness of computer-based simulation games. Personnel Psychology, 64(2), 489–528.
• Swanson, H. L. (1990). Influence of metacognitive knowledge and aptitude on problem solving. Journal of Educational Psychology, 82(2), 306–314.
• Thillmann, H., Künsting, J., Wirth, J. & Leutner, D. (2009). Is it merely a question of “what” to prompt or also “when” to prompt? Zeitschrift für Pädagogische Psychologie [German Journal of Educational Psychology], 23, 105–115.
• Tsekleves, E., Cosmas, J. & Aggoun, A. (2014). Benefits, barriers and guideline recommendations for the implementation of serious games in education for stakeholders and policymakers. British Journal of Educational Technology, 47(1), 164–183. doi:10.1111/bjet. 12223.
• Usart, M., Romera, M., Almirall, E. (2011). Impact of the feeling of knowledge explicitness in the learners’ participation and performance in a collaborative game-based learning activity. Presented at International Conference on Serious Games Development and Applications, Lisbon, 19-20 September.
• van der Meij, H., Veldkamp, S., Leemkuil, H. (2019). Effects of scripting on dialogues, motivation and learning outcomesin serious games. British Journal of Education, 51(2), 459-472.
• van der Meij, J., & de Jong, T. (2011). The effects of directive self-explanation prompts to support active processing in a simulation-based learning environment. Journal of Computer Assisted Instruction, 27, 411–423.
• van der Spek, E., Wouters, P., & van Oostendorp, H. (2011). Code red: Triage or cognition- based design rules enhancing decision-making training in a game environment. British Journal of Educational Technology, 42(3), 441-455.
• van Meter, P., N., Cameron,C., Waters, J. R. (2017). Effects of response prompts and diagram comprehension ability on text and diagram learning in a college biology course. Learning and Instruction, 49,(2017), 188-198. https://doi.org/10.1016/j.learninstruc.2017.01.003.
• Verpoorten, D., Castaigne, J. L., Westera, W., & Specht, M. (2012). A quest for meta-learning gains in a physics serious game. Education and Information Technologies, 19(2), pp 361–374.
• Wouters,P.&vanOostendorp,H.(2013).Ameta-analytic reviewofthe role ofinstructional support in game-based learning. Computers & Education, 60(1), 412–425.
• Wouters, P., van der Spek, E., and van Oostendorp, H. (2011). Measuring learning in serious games: a case study with structural assessment. Educational Technology Research and Development. 59, 741–763. doi: 10.1007/s11423-010- 9183-0.
• Wouters, P., van Nimwegen, C., Oostendorp, H., van der Spek, E. D. (2013). A meta- analysis of the cognitive and motivational effects of serious games. Journal of Educational Psychology, 105, 249–265.
• Young, M. F., Slota, S., Cutter,A. B.,Jalette, G., Mullin, G., Lai, B., Simeoni, Z., Tran, M., Yukhymenko, M. (2012). Our princess is in another castle a review of trends in serious gaming for education. Review of Educational Research, 82(1), 61–89.
• Zeglen, E. & Rosendale, J. A. (2018). Increasing online information retention: Analysing the effects of visual hints and feedback in educational games. Journal of Open, Flexible and Distance Learning, 22(1), 23-33.
• Zheng, B., Warschauer, M., Lin, C.-H., & Chang, C. (2016). Learning in one-to-one laptop environments: A meta-analysis and research synthesis. Review of Educational Research, 86, 1052–1084. doi: 10.3102/0034654316628645.
• Zhonggen, Y. (2019). A meta-analysis of use of serious games in education over a decade. International Journal of Computer Games Technology 2019, 1-9.
• Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-37). San Diego, CA: Academic Press. doi:10.1016/B978-012109890- 2/50031-7.
• Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135-147. DOI: 10.1080/0046152 0.2013.794676.
• Zumbach, J., Rammerstorfer, L., Deibl, I. (2020). Cognitive and metacognitive support in learning with a serious game about demographic change. Computers in Human Behavior, 103 (2020), 120-129.