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16 - Digital Games as Tools for Embedded Assessment

from Part III - Contexts and Sources of Feedback

Published online by Cambridge University Press:  02 November 2018

By
Bruce D. Homer ,
Teresa M. Ober  and
Jan L. Plass
Edited by
Anastasiya A. Lipnevich  and
Jeffrey K. Smith
Anastasiya A. Lipnevich
Affiliation:
Queens College and the Graduate Center, City University of New York
Jeffrey K. Smith
Affiliation:
University of Otago, New Zealand
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The Cambridge Handbook of Instructional Feedback , pp. 357 - 375
Publisher: Cambridge University Press
Print publication year: 2018

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References

All, A., Castellar, E. P. N., & Van Looy, J. (2016). Assessing the effectiveness of digital game-based learning: Best practices. Computers & Education, 92 –93, 90–103.Google Scholar
Anderson, J. R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51(4), 355–365.Google Scholar
Anderson, J. R., & Bower, G. H. (1974). A propositional theory of recognition memory. Memory & Cognition, 2(3), 406–412.Google Scholar
Anderson, J. R., Boyle, C. F., Corbett, A. T., & Lewis, M. W. (1990). Cognitive modeling and intelligent tutoring. Artificial intelligence, 42(1), 7–49.Google Scholar
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned.  Journal of the Learning Sciences, 4(2), 167–207.Google Scholar
Azevedo, R., Cromley, J. G., Moos, D. C., Greene, J. A., & Winters, F. I. (2011). Adaptive content and process scaffolding: A key to facilitating students’ self-regulated learning with hypermedia. Psychological Testing and Assessment Modeling, 53(1), 106–140.Google Scholar
Baker, R. S., Clarke-Midura, J., & Ocumpaugh, J. (2016). Towards general models of effective science inquiry in virtual performance assessments. Journal of Computer Assisted Learning, 32, 267–280.CrossRefGoogle Scholar
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74.Google Scholar
Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability (formerly Journal of Personnel Evaluation in Education), 21(1), 5.Google Scholar
Buelow, M. T., Okdie, B. M., & Cooper, A. B. (2015). The influence of video games on executive functions in college students. Computers in Human Behavior, 45, 228–234.Google Scholar
Chen, C. M., & Wang, H. P. (2011). Using emotion recognition technology to assess the effects of different multimedia materials on learning emotion and performance. Library & Information Science Research, 33(3), 244–255.CrossRefGoogle Scholar
Corbett, A. T., Anderson, J. R., & O’Brien, A. T. (1995). Student modeling in the ACT programming tutor. Cognitively Diagnostic Assessment, 19–41.Google Scholar
Csapó, B., Lörincz, A., & Molnár, G. (2012). Innovative assessment technologies in educational games designed for young students. In Assessment in game-based learning (pp. 235–254). New York: Springer.Google Scholar
De Lisi, R., & Wolford, J. L. (2002). Improving children’s mental rotation accuracy with computer game playing. Journal of Genetic Psychology, 163(3), 272–282.Google Scholar
de Klerk, S., Veldkamp, B. P., & Eggen, T. J. H. M. (2015). Psychometric analysis of the performance data of simulation-based assessment: A systematic review and a Bayesian network example. Computers & Education, 85, 23–34.CrossRefGoogle Scholar
de Klerk, S., Veldkamp, B. P., & Eggen, T. J. H. M. (2016). A methodology for applying students’ interactive task performance scores from a multimedia-based performance assessment in Bayesian network. Computers in Human Behavior, 60, 264–279.Google Scholar
DeLoache, J. S. (1987). Rapid change in the symbolic functioning of very young children. Science, 238, 1556–1557.Google Scholar
Domagk, S., Schwartz, R. N., & Plass, J. L. (2010). Interactivity in multimedia learning: An integrated model. Computers in Human Behavior, 26(5), 1024–1033.Google Scholar
Fraser, K., Ma, I., Teteris, E., Baxter, H., Wright, B., & McLaughlin, K. (2012). Emotion, cognitive load and learning outcomes during simulation training. Medical Education, 46(11), 1055–1062.CrossRefGoogle ScholarPubMed
Erez, A., & Isen, A. M. (2002). The influence of positive affect on the components of expectancy motivation. Journal of Applied Psychology, 87(6), 1055.CrossRefGoogle ScholarPubMed
Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Macmillan.Google Scholar
Gee, J. P., & Shaffer, D. W. (2010). Looking where the light is bad: Video games and the future of assessment. Phi Delta Kappa International EDge, 6(1), 3–19.Google Scholar
Hao, J., Smith, L., Mislevy, R., von Davier, A., & Bauer, M. (2016). Taming log files from game/simulation‐based assessments: Data models and data analysis tools. Research Report ETS RR-16-10. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/ets2.12096/epdf.Google Scholar
Homer, B. D., Plass, J. L., Raffaele, C., Ober, T. M., & Ali, A. (2018). Improving high school students’ executive functions through digital game play. Computers & Education, 117, 50–58.Google Scholar
Hoffman, B., & Nadelson, L. (2010). Motivational engagement and video gaming: A mixed methods study. Educational Technology Research and Development, 58(3), 245–270.Google Scholar
Hunicke, R., LeBlanc, M., & Zubek, R. (2004, July). MDA: A formal approach to game design and game research. In Proceedings of the AAAI Workshop on Challenges in Game AI (vol. 4, no. 1, pp. 1–5). San Jose, CA: AAAI Press.Google Scholar
Kiili, K. (2007). Foundation for problem‐based gaming. British Journal of Educational Technology, 38(3), 394–404.Google Scholar
Kim, B. (2015). Game mechanics, dynamics, and aesthetics. Library Technology Reports, 51(2), 17.Google Scholar
Kim, Y. J., & Shute, V. J. (2015). The interplay of game elements with psychometric qualities, learning, and enjoyment in game-based assessment. Computers & Education, 87, 340–356.Google Scholar
Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997). Intelligent tutoring goes to school in the big city. In Proceedings of the 7th World Conference on Artificial Intelligence in Education. Charlottesville, VA: Association for the Advancement of Computing in Education.Google Scholar
Kyle, F., Kujala, J., Richardson, U., Lyytinen, H., & Goswami, U. (2013). Assessing the effectiveness of two theoretically motivated computer‐assisted reading interventions in the United Kingdom: GG Rime and GG Phoneme. Reading Research Quarterly, 48(1), 61–76.Google Scholar
Leighton, J. P., & Chu, M. W. (2016). First among equals: Hybridization of cognitive diagnostic assessment and evidence-centered game design. International Journal of Testing, 16(2), 164–180.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.Google Scholar
Mayer, R. E. (2015). On the need for research evidence to guide the design of computer games for learning. Educational Psychologist, 50(4), 349–353.Google Scholar
McGrew, K. S., & Woodcock, R. W. (2001). Technical manual: Woodcock–Johnson III. Itasca, IL: Riverside.Google Scholar
Meyer, B., & Sørensen, B. H. (2009). Designing serious games for computer assisted language learning: A framework for development and analysis. In Kankaanranta, M. & Neittaanmäki, P. (Eds.), Design and use of serious games (pp. 69–82). Dordrecht: Springer.Google Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81.Google Scholar
Mislevy, R. J., Behrens, J. T., Dicerbo, K. E., Frezzo, D. C., & West, P. (2012). Three things game designers need to know about assessment. In Assessment in game-based learning (pp. 59–81). New York: Springer.Google Scholar
Mislevy, R. J., & Haertel, G. D. (2006). Implications of evidence‐centered design for educational testing. Educational Measurement: Issues and Practice, 25(4), 6–20.Google Scholar
Mislevy, R. J., Orange, A., Bauer, M. I., von Davier, A., Hao, J., Corrigan, S., … & John, M. (2014). Psychometric considerations in game-based assessment. White paper. Retrieved from www.ets.org/research/policy_research_reports/publications/white_paper/2014/jrrx.Google Scholar
Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (2002). Design and analysis in task-based language assessment. Language Testing, 19(4), 477–496.Google Scholar
Novak, E., & Johnson, T. E. (2012). Assessment of student’s emotions in game-based learning. In Assessment in game-based learning (pp. 379–399). New York: Springer.Google Scholar
Parong, J., Mayer, R. E., Fiorella, L., MacNamara, A., Homer, B. D., & Plass, J. L. (2017). Learning executive function skills by playing focused video games. Contemporary Educational Psychology, 51, 141–151.Google Scholar
Piaget, J. (1962). Play, dreams and imitation in childhood. New York: W. W. Norton.Google Scholar
Picard, R. W. (1997). Affective computing. Cambridge: MIT Press.Google Scholar
Plass, J. L., Chun, D. M., Mayer, R. E., & Leutner, D. (1998). Supporting visual and verbal learning preferences in a second-language multimedia learning environment. Journal of Educational Psychology, 90(1), 25.Google Scholar
Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of game-based learning. Educational Psychologist, 50, 258–283.Google Scholar
Plass, J. L., Homer, B. D., Kinzer, C. K., Chang, Y. K., Frye, J., Kaczetow, W., … & Perlin, K. (2013). Metrics in simulations and games for learning. In Seif El-Nasr, M., Drachen, A., & Canossa, A. (Eds.), Game analytics (pp. 697–729). London: Springer.Google Scholar
Plass, J. L., Homer, B. D., Kinzer, C. K., Frye, J., & Perlin, K. (2011). Learning mechanics and assessment mechanics for games for learning. G4LI White Paper, 1.Google Scholar
Plass, J. L., & Kaplan, U. (2016). Emotional design in digital media for learning. In Emotions, technology, design, and learning (pp. 131–161).Google Scholar
Plass, J. L., O’Keefe, P. A., Homer, B. D., Case, J., Hayward, E. O., Stein, M., & Perlin, K. (2013). The impact of individual, competitive, and collaborative mathematics game play on learning, performance, and motivation. Journal of Educational Psychology, 105(4), 1050–1066.Google Scholar
Raven, J. (2000). The Raven’s progressive matrices: Change and stability over culture and time. Cognitive Psychology, 41, 1–48.Google Scholar
Raven, J. C. (1941). Standardization of progressive matrices, 1938. British Journal of Medical Psychology, 19(1), 137–150.CrossRefGoogle Scholar
Ravitch, D. (2016). The death and life of the great American school system: How testing and choice are undermining education. Basic Books.Google Scholar
Reese, D. D., Seward, R. J., Tabachnick, B. G., Hitt, B. A., Harrison, A., & Mcfarland, L. (2012). Timed report measures learning: Game-based embedded assessment. In Assessment in game-based learning (pp. 145–172). New York: Springer.Google Scholar
Rizzo, A. A., Buckwalter, J. G., Bowerly, T., Van Der Zaag, C., Humphrey, L., Neumann, U., … & Sisemore, D. (2000). The virtual classroom: A virtual reality environment for the assessment and rehabilitation of attention deficits. CyberPsychology & Behavior, 3(3), 483–499.Google Scholar
Servan-Schreiber, E. (1991). The competitive chunking theory: Models of perception, learning, and memory. Doctoral dissertation, Carnegie-Mellon University.Google Scholar
Shute, V., & Sun, C. (in press). Game-based assessment: What it is and does it work? In Plass, J., Mayer, R., & Homer, B. D. (Eds.), Handbook of game-based learning. MIT Press.Google Scholar
Shute, V., & Ventura, M. (2013). Stealth assessment: Measuring and supporting learning in video games. Cambridge, MA: MIT Press.Google Scholar
Shute, V. J. (2011). Stealth assessment in computer-based games to support learning. Computer Games and Instruction, 55(2), 503–524.Google Scholar
Shute, V. J., Moore, G. R., & Wang, L. (2015). Measuring problem solving skills in Plants vs. Zombies 2. International Educational Data Mining Society: Proceedings of the 8th International Conference on Educational Data Mining (pp. 428–431). Madrid, Spain.Google Scholar
Shute, V. J., Ventura, M., & Ke, F. (2015). The power of play: The effects of Portal 2 and Lumosity on cognitive and noncognitive skills. Computers & Education, 80, 58–67.Google Scholar
Shute, V. J., Ventura, M., & Kim, Y. J. (2013). Assessment and learning of qualitative physics in Newton’s Playground.  Journal of Educational Research, 106(6), 423–430.Google Scholar
Shute, V. J., Wang, L., Greiff, S., Zhao, W., & Moore, G. (2016). Measuring problem solving skills via stealth assessment in an engaging video game. Computers in Human Behavior, 63, 106–117.Google Scholar
Thelwall, M. (2000). Computer-based assessment: A versatile educational tool. Computers & Education, 34(1), 37–49.Google Scholar
US Department of Education (2017). Reimagining the role of technology in education: 2017 National Education Technology Plan Update. Retrieved from https://tech.ed.gov/files/2017/01/NETP17.pdf.Google Scholar
Wilson, A. J., Revkin, S. K., Cohen, D., Cohen, L., & Dehaene, S. (2006). An open trial assessment of “The Number Race,” an adaptive computer game for remediation of dyscalculia. Behavioral and Brain Functions, 2(1), 20.Google Scholar
Wüstenberg, S., Greiff, S., & Funke, J. (2012). Complex problem solving more than reasoning? Intelligence, 40, 1–14.Google Scholar

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