REFERENCES
Adams, D.M., Mayer, R.E., MacNamara, A., Koenig, A., & Wainess, R. (2012). Narrative games for learning: Testing the discovery and narrative hypotheses. Journal of Educational Psychology, 104, 235–249.
Albanese, M.A. (2010). Problem-based learning. In W.B. Jeffries & K.N. Huggett (Eds.), An introduction to medical teaching. New York: Springer.
Alfieri, L., Brooks, P.J., Aldrich, N.J., & Tenenbaum, H.R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103, 1–18.
Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J., & Wittrock, M.C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Longman.
Ayres, P., Marcus, N., Chan, C., & Qian, N. (2009). Learning hand manipulative tasks: When instructional animations are superior to equivalent static representation. Computers in Human Behavior, 25, 348–353.
Basarab, D.J. (1991). Evaluation of sales training on the bottom line. Performance & Instruction, pp. 35–40.
Clark, R.C. (2010). Evidence-based training methods. Alexandria, VA: ASTD Press.
Clark, R.C., & Lyons, C. (2011). Graphics for learning. San Francisco: Pfeiffer.
Clark, R.C. & Mayer, R.E. (2011). e-Learning and the science of instruction (3rd ed.). San Francisco: Pfeiffer.
Crandall, B., Klein, G., & Hoffman, R.R. (2006). Working minds. Cambridge, MA: MIT Press.
Cross, J., & Dublin, L. (2002). Implementing e-learning, Alexandria, VA: ASTD Press.
Lazonder, A.W., Hagemans, J.G., & de Jong. T. (2010). Offering and discovering domain information in simulation-based inquiry learning. Learning and Instruction, 20(6), 511–520.
de Jong, T. (2011). Instruction based on computer simulations. In R.E. Mayer & P.A. Alexander (Eds.), Handbook of research on learning and instruction. New York: Routledge.
Ericsson, K.A. (2006). The influence of experience and deliberate practice on the development of superior expert performance. In K.A. Ericsson, N. Charness, P.J. Feltovich, & R.R. Hoffman (Eds.), The Cambridge handbook of expertise and expert performance. New York: Cambridge University Press.
Ericsson, K.A. (2009). Enhancing the development of professional performance: Implications from the study of deliberate practice. In K.A. Ericsson (Ed.), Development of professional expertise. New York: Cambridge University Press.
Fiorella, L., & Mayer, R.E. (2012, April 9). Paper-based aids for learning with a computer game. Journal of Educational Psychology.
Gadgil, S., Nokes-Malach, T.J., & Chi, M.T.H. (2012). Effectiveness of holistic mental model confrontation in driving conceptual change. Learning and Instruction, 22, 47–61.
Gerjets, P., ImHof, B., Kuhl, T., Pfeiffer, V., Scheiter, K., & Gemballa, S. (2010). Using static and dynamic visualizations to support the comprehension of complex dynamic phenomena in the nature sciences. In L. Verschaffel, E. De Corte, T. de Jong, & J. Elen (Eds.), Use of representations in reasoning and problem solving. New York: Routledge.
Goldstone, R.L., & Son, J.Y. (2005). The transfer of scientific principles using concrete and idealized simulations. Journal of the Learning Sciences, 14, 69–110.
Green, M.C., Strange, J.J., & Brock, T.C. (2002). Narrative impact: Social and cognitive foundations. Mahwah, NJ: Lawrence Erlbaum Associates.
Hartley, D.E. (2001). Selling e-learning. Alexandria, VA: ASTD Press.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York: Routledge.
Hattie, J., & Gan, M. (2011). Instruction based on feedback. In R.E. Mayer & P.A. Alexander (Eds.), Handbook of research on learning and instruction. New York: Routledge.
Holzinger, A., Kickmeier-Rust, M., Wassentheurer, S., & Hessinger, M. (2009). Learning performance with interactive simulations in medical education: Lessons learned from results of learning complex physiological models with the Haemodynamics Simulator. Computers & Education, 52, 292–301.
Horton, W. (2006). e-Learning by design. San Francisco: Pfeiffer.
Hung, W. (2011). Theory to reality: A few issues in implementing problem-based learning. Educational Technology Research and Development, 59, 529–552.
Jonassen, D.H. (2004). Learning to solve problems. San Francisco: Pfeiffer.
Kalyuga, S., Rikers, R., & Paas, F. (2012). Educational implications of the expertise reversal effects in learning and performance of complex cognitive and sensorimotor skills. Educational Psychology Review, 24, 313–337.
Kapp, K.M., & O’Driscoll, T. (2010). Learning in 3D. San Francisco: Pfeiffer.
Kapur, M. (2012). Productive failure in learning the concept of variance. Instructional Science, 40, 651–672.
Kapur, M., & Rummel, N. (2012). Productive failure in learning from generation and invention activities. Instructional Science, 40, 645–650.
Kirschner, F., Paas, F., Kirschner, P.A., & Janssen, J. (2011). Differential effects of problem-solving demands on individual and collaborative learning outcomes. Learning and Instruction, 21, 587–599.
Kluger, A.N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254–284.
Kumta., S.M., Tsang, P.L., Hung, L.K., & Cheng, J.C.Y. (2003). Fostering critical thinking skills through a web-based tutorial programme for final-year medical students: A randomized controlled study. Journal of Educational Multimedia and Hypermedia, 12, 267–73.
Lazonder, A.W., Hagemans, M.G., & de Jong, T. (2010). Offering and discovering domain information in simulation-based inquiry learning. Learning and Instruction, 20, 511–520.
Lee, H., Plass, J.L., & Homer, B.C. (2006). Optimizing cognitive load for learning from computer-based science simulations. Journal of Educational Psychology, 98, 902–913.
Leighton, J.P. (2011). A cognitive model for the assessment of higher order thinking in students. In G. Shaw & D.R. Robinson (Eds.), Assessment of higher order thinking skills. Charlotte, NC: Information Age Publishing.
Lesgold, A. Eggan, G., Katz, S., & Rao, G. (1993). Possibilities for assessment using computer-based apprenticeship environments. In M. Rabinowitz (Ed.), Cognitive science foundations of instruction. Mahwah, NJ: Lawrence Erlbaum Associates.
Lesgold, A., Lajoie, S., Bunzo, M., & Eggan, G. (1992). SHERLOCK: A coached practice environment for an electronic troubleshooting job. In J.H. Larkin & R.W. Chabay (Eds.), Computer-assisted instruction and intelligent tutoring systems: Shared goals and complementary approaches (pp. 201–239). Mahwah, NJ: Lawrence Erlbaum Associates.
Lim, J., Reiser, R.E., & Olina, Z. (2009). The effects of part-task and whole-task instructional approaches on acquisition and transfer of a complex cognitive skill. Educational Technology Research & Development, 57, 61–77.
Loyens, S.M.M., & Rikers, R.J.J.P. (2011). Instruction based on inquiry. In R.E. Mayer & P.A. Alexander (Eds.), Handbook of research on learning and instruction. New York: Routledge.
Mayer, R.E. (2004). Should there be a three-strikes rule against pure discovery learning: The case for guided methods of instruction. American Psychologist, 59, 14–19.
Mayer, R.E. (2011). Multimedia learning and games. In S. Tobias & D. Fletcher (Eds.), Computer games and instruction (pp. 281–305). Greenwich, CT: Information Age Publishers.
Mayer, R.E., & Alexander, P.A. (Eds.). (2011). Handbook of research on learning and instruction. New York: Routledge.
Mayer, R.E., Hegarty, M., Mayer, S., & Campbell, J. (2005). When static media promote active learning: Annotated illustrations versus narrated animations in multimedia instruction. Journal of Experimental Psychology: Applied, 11, 256–265.
Mayer, R.E., & Johnson, C.I. (2010). Adding instructional features that promote learning in a game-like environment. Journal of Educational Psychology: Applied, 8, 147–154.
Merrill, M.D. (2012). First principles of instruction. San Francisco: Pfeiffer.
Moreno, R., & Mayer, R.E. (2005). Role of guidance, reflection, and interactivity in an agent-based multimedia game. Journal of Educational Psychology, 97, 117–128.
Moreno, R., & Ortegano-Layne, L. (2008). Using cases as thinking tools in teacher education: The role of representation format. Educational Technology Research and Development, 56, 449–465.
Moreno, R., Ozogul, G., & Reisslein, M. (2011). Teaching with concrete and abstract visual representations: Effects on students’ problem solving, problem representations, and learning perceptions. Journal of Educational Psychology, 103, 33–47.
Phillips, J.J. (2007). Measuring the ROI of a coaching intervention, part 2. Performance Improvement, 46, 10–23.
Phillips, J.J., & Phillips, P.P. (2007). The value of learning: How organizations capture value and ROI and translate it into support, improvement, and funds. San Francisco: Pfeiffer.
Renkl, A. (2011). Instruction based on examples. In R.E. Mayer & P.A. Alexander (Eds.), Handbook of research on learning and instruction. New York: Routledge.
Schoenfeld, A.H. (1987). What’s all the fuss about metacognition? In A. Schoenfeld (Ed.), Cognitive science and mathematics education. Mahwah, NJ: Lawrence Erlbaum Associates.
Schank, R.C., & German, T.R. (2002). The pervasive role of stories in knowledge and action. In M.C. Green, J.J. Strange, & T.C. Brock (Eds.), Narrative impact: Social and cognitive foundations. Mahwah, NJ: Lawrence Erlbaum Associates.
Schraw, G., & Robinson, D.R. (Eds.). (2011). Assessment of higher order thinking skills. Charlotte, NC: Information Age Publishing.
Shrock, S.A., & Coscarelli, W.C. (2007). Criterion-referenced test development (3rd ed.). San Francisco: Pfeiffer.
Shute, V.J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.
Shute, V.J., & Glaser, R. (1990). A large-scale evaluation of an intelligent discovery world: Smithtown. Interactive Learning Environments, 1, 51–77.
Sitzmann, T., Brown, K.G., Casper, W.J., Ely, K., & Zimmerman, R.D. (2008). A review and meta-analysis of the nomological network of trainee reactions. Journal of Applied Psychology, 93, 280–295.
Stark, R., Kopp, V., & Fischer, M.R. (2011). Case-based learning with worked examples in complex domains: Two experimental studies in undergraduate medical education. Learning and Instruction, 21, 22–33.
U.S. Department of Education, Office of Planning, Evaluation, and Policy Development. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: Author.
Van Gog, T., Paas, F., van Merrienboer, J.J.G., & Witte, P. (2005). Uncovering the problem-solving process: Cued retrospective reporting versus concurrent and retrospective reporting. Journal of Experimental Psychology: Applied, 11, 237–244
Van Gog, T., Sluijsmans, D.M.A., Joosten-ten Brinke, D., & Prins, F.J. (2010). Formative assessment in an online learning environment to support flexible on-the job learning in complex professional domains. Educational Technology Research and Development, 58, 311–324.
Van der Meij, J., & de Jong, T. (2011). The effects of directive self-explanation prompts to support active processing of multiple representations in a simulation-based learning environment. Journal of Computer Assisted Learning, 27, 411–423.
Van Merrienboer, J.J.G., & Kirschner, P.A. (2007). Ten steps to complex learning. New York: Routledge.
Wiedmann, M., Leach, R.C., Rummel, N., & Wiley, J. (2012). Does group composition affect learning by invention? Instructional Science, 40, 711–730.
Wong, A., Marcus, N., Ayers, P., Smith, L., Cooper, G.A., Paas, F.G.W.C., & Sweller, J. (2009). Instructional animations can be superior to statics when learning human motor skills. Computer in Human Behavior, 25, 339–347.
Zacharia, Z.C., & Olympiou, G. (2011). Physical versus virtual manipulative experimentation in physics learning. Learning and Instruction, 21, 317–331.
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