Experience and explanation: Using videogames to prepare students for formal instruction in statistics

Journal of Science Education and Technology

Volumn 23, Issue 4, 2014, Pages 538-548

  Arena, Dylan A ^a   Schwartz, Daniel L ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Assessment; Computer games; Interactive learning environments; Statistics instruction

Indexed keywords

EID: 84888786894     PISSN: 10590145     EISSN: 15731839     Source Type: Journal    
DOI: 10.1007/s10956-013-9483-3     Document Type: Article

References (23)

1. Anderson D, Lucas KB, Ginns IS, Dierking LD (2000) Development of knowledge about electricity and magnetism during a visit to a science museum and related post-visit activities. Sci Educ 84(5):658–679
2. Arena DA (2012) Commercial video games as preparation for future learning. Unpublished doctoral dissertation. Stanford University, Palo Alto, CA
3. Arena D, Schwartz DL (2010) Stats Invaders! Learning about statistics by playing a classic video game. In: Proceedings of the fifth international conference on foundations of digital games, ACM, New York, pp 248–249
4. Bandura A, Ross D, Ross SA (1961) Transmission of aggression through imitation of aggressive models. J Abnorm Soc Psychol 63(3):575–582
5. Barron B, Wise S, Martin CK (2012) Creating within and across life spaces: the role of a computer clubhouse in a child’s learning ecology. In: Bevan B, Bell P, Stevens R, Razfar A (eds) LOST opportunities: learning in out-of-school-time. Kluwer, Netherlands, pp 99–118
6. Bransford JD, Schwartz DL (1999) Rethinking transfer: a simple proposal with multiple implications. Rev Res Educ 24:61–101
7. Edwards W (1968) Conservatism in human information processing. In: Kleinmuntz B (ed) Formal representation of human judgment. Wiley, New York, pp 17–52
8. Faul F, Erdfelder E, Buchner A, Lang A-G (2009) Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 41:1149–1160
9. Feuerstein R (1979) The dynamic assessment of retarded performers: the learning potential assessment device, theory, instruments, and techniques. University Park Press, Baltimore, MD
10. Fox J, Weisberg S (2011) An R companion to applied regression, 2nd edn. Sage, Thousand Oaks, CA
11. Himmelberger K, Schwartz DL (2007) It’s a homerun! Using mathematical discourse to support the learning of statistics. Math Teach 101(4):250–256
12. Ito M, Gutiérrez K, Livingstone S, Penuel W, Rhodes J, Salen K et al (2012) Connected learning: an agenda for research and design. The MacArthur Foundation, Chicago
13. Konold C (1989) Informal conceptions of probability. Cogn Instr 6:59–98
14. Konold C (2007) Designing a data tool for learners. In: Lovett M, Shah P (eds) Thinking with data. Taylor & Francis, New York, pp 267–291
15. L’Ecuyer P, Meliani L, Vaucher J (2002) SSJ: A framework for stochastic simulation in Java. In: Proceedings of the 34th conference on winter simulation: exploring new frontiers, IEEE Press, pp 234–242
16. Lehrer R, Kim M-J, Ayers E, Wilson M (2013) Toward establishing a learning progression to support the development of statistical reasoning. In: Confrey J, Maloney A (eds) Learning over time: learning trajectories in mathematics education. Information Age, Charlotte, NC
17. National Research Council (2011) Learning science through computer games and simulations. In: Committee on Science Learning: Computer Games, Simulations and Education, Honey MA, Hilton ML (eds), Board on Science Education, Division of Behavioral and Social Sciences and Education. The National Academies Press, Washington, DC
18. Nisbett RE, Krantz D, Jepson C, Kunda Z (1983) The use of statistical heuristics in everyday inductive reasoning. Psychol Rev 90:339–363
19. Petrich M, Wilkinson K, Bevan B (2013) It looks like fun, but are they learning? In: Honey M, Kanter D (eds) Design, make, play: growing the next generation of STEM innovators. Routledge, New York
20. Schwartz DL, Bransford JD (1998) A time for telling. Cogn Instr 16(4):475-5223. doi:10.1207/s1532690xci1604_4
21. Schwartz DL, Martin T (2004) Inventing to prepare for learning: the hidden efficiency of original student production in statistics instruction. Cogn Instr 22:129–184
22. Skinner BF (1986) Programmed instruction revisited. Phi Delta Kappan 68(2):103–110
23. Tversky A, Kahneman D (1974) Judgment under uncertainty: heuristics and biases. Science 185:1124–1131