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MemReflex: adaptive flashcards for mobile microlearning

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Published:21 September 2012Publication History

ABSTRACT

Flashcard systems typically help students learn facts (e.g., definitions, names, and dates), relying on intense initial memoriztion with subsequent tests delayed up to days later. This approach does not exploit the short, sparse, and mobile opportunities for microlearning throughout the day, nor does it support learners who need the motivation that comes from successful study sessions. In contrast, our MemReflex system of adaptive flashcards gives fast-feedback by retesting new items in quick succession, dynamically scheduling future tests according to a model of the learner's memory. We evaluate MemReflex across three user studies. In the first two studies, we demonstrate its effectiveness for both audio and text modalities, even while walking and distracted. In the third study of second-language vocabulary learning, we show how MemReflex enhanced learner accuracy, confidence, and perceptions of control and success. Overall, the work suggests new directions for mobile microlearning and "micro activities" in general.

References

  1. Anki Spaced Repetition System. http://ankisrs.net/Google ScholarGoogle Scholar
  2. Bateson, G. (1972). Steps to an ecology of mind. New York: Ballantine Books.Google ScholarGoogle Scholar
  3. Benyon, D. & Murray, D. (1993). Developing adaptive systems to fit individual aptitudes. IUI'93, 115--121. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bergstrom-Lehtovirta, J., Oulasvirta, A. & Brewster, S. (2011). The effects of walking speed on target acquisition on a touchscreen interface. MobileHCI '11, 143--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bing Dictionary Desktop. http://dict.bing.msn.cn/Google ScholarGoogle Scholar
  6. Carpenter, S. K., Pashler, H. & Vul, E. (2006). What types of learning are enhanced by a cued recall test? Psychonomic Bulletin & Review, 13(5), 826--830.Google ScholarGoogle ScholarCross RefCross Ref
  7. Carpenter, S. K., Pashler, H., Wixted, J. T. & Vul, E. (1998). The effects of tests on learning and forgetting. Memory & Cognition, 36(2), 438--448.Google ScholarGoogle ScholarCross RefCross Ref
  8. Cepeda, N. J., Pashler, H., Vul, E. & Wixted, J. T. (2006). Distributed Practice in Verbal Recall Tasks: A Review and Quantitative Synthesis. Psychological Bulletin, 132(5).Google ScholarGoogle Scholar
  9. Chomsky, N. (1965). Aspects of the Theory of Syntax. MIT.Google ScholarGoogle Scholar
  10. Csíkszentmihályi, M. (1990). Flow: The Psychology of Optimal Experience, New York: Harper and Row.Google ScholarGoogle Scholar
  11. Ebbinghaus, H. (1964). Memory: A contribution to experimental psychology. Dover Publications (original 1885).Google ScholarGoogle Scholar
  12. Edge, D., Searle, E., Chiu, K., Zhao, J. & Landay, J. (2011). MicroMandarin: Mobile Language Learning in Context. CHI 2011, 3169--3178. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Gassler, G., Hug, T. & Glahn, C. (2004). Integrated Micro Learning - An outline of the basic method and first results. Interactive Computer Aided Learning '04.Google ScholarGoogle Scholar
  14. Gradint. http://people.pwf.cam.ac.uk/ssb22/gradint/Google ScholarGoogle Scholar
  15. Leitner System. http://en.wikipedia.org/wiki/Leitner_SystemGoogle ScholarGoogle Scholar
  16. Nakamura, J, & Csikszentmihayli, M. (2002). The Concept of Flow. The Handbook of Positive Psychology: Oxford University Press, 89--92.Google ScholarGoogle Scholar
  17. Pavlik, P. I. Jr. & Anderson, J. R. (2003). An ACT-R Model of the Spacing Effect. ICCM-5, 177--182.Google ScholarGoogle Scholar
  18. Pavlik, P. I. Jr., Presson, N., Dozzi, G., Wu, S.-M., MacWhinney, B. & Koedinger, K. (2007). The FaCT (fact and concept) system: A new tool linking cognitive science with educators. 29th Conf. of the Cog. Sci. Soc., Nashville, TN.Google ScholarGoogle Scholar
  19. Pimsleur, P. (1967). A memory schedule. The Modern Language Journal, 51(2), 73--75.Google ScholarGoogle ScholarCross RefCross Ref
  20. Rohrer, D., Taylor, K., Pashler, H., Wixted, J. T. & Cepeda, N. J. (2005). The Effect of Overlearning on Long-Term Retention. Applied Cognitive Psychology, 19, 361--374.Google ScholarGoogle ScholarCross RefCross Ref
  21. Schildbach, B. & Rukzio, E. (2010). Investigating selection and reading performance on a mobile phone while walking. MobileHCI'11, 93--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Sharples, M. (2000). The Design of Personal Mobile Technologies for Lifelong Learning. Computers and Education, 34, 177--193. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Wilson, G., Brewster, S., Halvey, M., Crossan, A. & Stewart, C. (2011). The effects of walking, feedback and control method on pressure-based interaction. MobileHCI'11 147--156. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Wozniak, P. A. & Gorzelanczyk, E. J. (1994). Optimization of repetition spacing in the practice of learning. Acta Neurobiologiae Experimentalis, 54.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
      September 2012
      468 pages
      ISBN:9781450311052
      DOI:10.1145/2371574

      Copyright © 2012 ACM

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      Publication History

      • Published: 21 September 2012

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