Interactive Instruction in Bayesian Inference

REFERENCES

• Ayal, S., & Beyth-Marom, R.. (2014). The effects of mental steps and compatibility on Bayesian reasoning. Judgment and Decision Making, 9(3), 226–242. Retrieved from http://journal.sjdm.org/12/12714/jdm12714.html
   Google Scholar
• Brase, G. L.. (2008). Frequency interpretation of ambiguous statistical information facilitates Bayesian reasoning. Psychonomic Bulletin & Review, 15(2), 284–289. doi:10.3758/PBR.15.2.284
   PubMed Web of Science ®Google Scholar
• Breslav, S., Khan, A., & Hornbæk, K. (2014). Mimic: Visual analytics of online micro-interactions. Proceedings of the AVI 2014 International Working Conference on Advanced Visual Interfaces. New York, NY: ACM Press. doi:10.1145/2598153.2598168
   Google Scholar
• Calvillo, D., DeLeeuw, K., & Revlin, R.. (2006). Deduction with Euler circles: Diagrams that hurt. Diagrams ( pp. 199–203). Berlin, Germany: Springer. doi:10.1007/11783183_27
   Google Scholar
• Casscells, W., Schoenberger, A., & Graboys, T. B.. (1978). Interpretation by physicians of clinical laboratory results. The New England Journal of Medicine, 299(18), 999–1001. doi:10.1056/NEJM197811022991808
   PubMed Web of Science ®Google Scholar
• Cole, W. G. (1989). Understanding Bayesian reasoning via graphical displays. Proceedings of the CHI 1989 Conference on Human Factors in Computer Systems. New York, NY: ACM Press. doi:10.1145/67449.67522
   Google Scholar
• Dix, A., & Ellis, G. (1998). Starting simple: Adding value to static visualisation through simple interaction. Proceedings of the AVI 1998 Working Conference on Advanced Visual Interfaces. New York, NY: ACM Press.
   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. doi:10.1016/j.chb.2010.03.003
   Web of Science ®Google Scholar
• Downs, J. S., Holbrook, M. B., Sheng, S., & Cranor, L. F. (2010). Are your participants gaming the system? Proceedings of the CHI 2010 International Conference on Human Factors in Computer Systems. New York, NY: ACM Press. doi:10.1145/1753326.1753688
   Google Scholar
• Eddy, D. (1982). Probabilistic reasoning in clinical medicine: Problems and opportunities. Judgment Under Uncertainty: Heuristics and Biases (pp. 249–267). Cambridge, UK: Cambridge University Press.
   Google Scholar
• Evans, C., & Gibbons, N. J.. (2007). The interactivity effect in multimedia learning. Computers & Education, 49(4), 1147–1160. doi:10.1016/j.compedu.2006.01.008
   Web of Science ®Google Scholar
• Evans, J. S., Handley, S. J., Perham, N., Over, D. E., & Thompson, V. A.. (2000). Frequency versus probability formats in statistical word problems. Cognition, 77(3), 197–213. doi:10.1016/S0010-0277(00)00098-6
   PubMed Web of Science ®Google Scholar
• Gigerenzer, G., & Hoffrage, U.. (1995). How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review, 102(4), 684–704. doi:10.1037/0033-295X.102.4.684
   Web of Science ®Google Scholar
• Girotto, V., & Gonzalez, M.. (2001). Solving probabilistic and statistical problems: A matter of information structure and question form. Cognition, 78, 247–276. doi:10.1016/S0010-0277(00)00133-5
   PubMed Web of Science ®Google Scholar
• Khan, A., Breslav, S., Glueck, M., & Hornbæk, K.. (2015). Benefits of visualization in the Mammography Problem. International Journal of Human-Computer Studies, 83, 94–113. doi:10.1016/j.ijhcs.2015.07.001
   Web of Science ®Google Scholar
• Khan, A., Matejka, J., Fitzmaurice, G., & Kurtenbach, G. (2005). Spotlight: Directing users’ attention on large displays. Proceedings of the CHI 2005 Conference on Human Factors in Computer Systems. New York, NY: ACM. doi:10.1145/1054972.1055082
   Google Scholar
• Mandel, D. R.. (2014). The psychology of Bayesian reasoning. Frontiers in Psychology, 5, 1144. Retrieved from http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4191302&tool=pmcentrez&rendertype=abstract
   Google Scholar
• Mayer, R. E.. (2005). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 31–48). New York, NY: Cambridge University Press. Retrieved from http://etec.ctlt.ubc.ca/510wiki/Cognitive_Theory_of_Multimedia_Learning
   Google Scholar
• Mayer, R. E.. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. The American Psychologist, 63(8), 760–769. doi:10.1037/0003-066X.63.8.760
   PubMed Web of Science ®Google Scholar
• Mayer, R. E., Heiser, J., & Lonn, S.. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93(1), 187–198. doi:10.1037/0022-0663.93.1.187
   Web of Science ®Google Scholar
• Micallef, L., Dragicevic, P., & Fekete, J.-D.. (2012). Assessing the effect of visualizations on Bayesian reasoning through crowdsourcing. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2536–2545. doi:10.1109/TVCG.2012.199
   PubMed Web of Science ®Google Scholar
• Ottley, A., Metevier, B., Han, P., & Chang, R. (2012). Visually Communicating Bayesian Statistics to Laypersons, 1–11. Retrieved from http://www.cs.tufts.edu/tech_reports/reports/2012-02/report.pdf
   Google Scholar
• Ottley, A., Peck, E. M., Harrison, L. T., Afergan, D., Ziemkiewicz, C., Taylor, H. A., & Chang, R.. (2016). Improving Bayesian reasoning: The effects of phrasing, visualization, and spatial ability. IEEE Transactions on Visualization and Computer Graphics, 22(1), 529–538. doi:10.1109/TVCG.2015.2467758
   PubMed Web of Science ®Google Scholar
• Paas, F., Van Gerven, P. W. M., & Wouters, P.. (2007). Instructional efficiency of animation: Effects of interactivity through mental reconstruction of static key frames. Applied Cognitive Psychology, 21(6), 783–793. doi:10.1002/acp.1349
   Web of Science ®Google Scholar
• Reed, S. K.. (2006). Cognitive architectures for multimedia learning. Educational Psychologist, 41(2), 87–98. doi:10.1207/s15326985ep4102_2
   Web of Science ®Google Scholar
• Tsai, J., Miller, S., & Kirlik, A.. (2011). Interactive visualizations to improve Bayesian reasoning. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), 385–389. doi:10.1177/1071181311551079
   Google Scholar
• Tversky, A., & Kahneman, D.. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. Retrieved from http://www.sciencemag.org/content/211/4481/453.short
   Google Scholar
• Wang, P.-Y., Vaughn, B. K., & Liu, M.. (2011). The impact of animation interactivity on novices’ learning of introductory statistics. Computers & Education, 56(1), 300–311. Retrieved from http://www.sciencedirect.com/science/article/pii/S0360131510002034 doi:10.1016/j.compedu.2010.07.011
   Google Scholar
• Wylie, R., & Chi, M.. (2005). The Self-explanation principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning ( pp. 413–432). New York, NY: Cambridge University Press.
   Google Scholar
• Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J.. (2007). Toward a deeper understanding of the role of interaction in information visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1224–1231. doi:10.1109/TVCG.2007.70515
   PubMed Web of Science ®Google Scholar