Abstract
We study the impact of question difficulty on learners’ engagement and learning using an experiment with an open online educational system for adaptive practice of geography. The experiment shows that easy questions are better for short term engagement, whereas difficult questions are better for long term engagement and learning. These results stress the necessity of careful formalization of goals and optimization criteria of open online education systems. We also present disaggregation of overall results into specific contexts of practice.
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References
Abuhamdeh, S., Csikszentmihalyi, M.: The importance of challenge for the enjoyment of intrinsically motivated, goal-directed activities. Pers. Soc. Psychol. Bull. 38(3), 317–330 (2012)
Jansen, B.R.J., Louwerse, J., Straatemeier, M., Van der Ven, S.H.G., Klinkenberg, S., Van der Maas, H.L.J.: The influence of experiencing success in math on math anxiety, perceived math competence, and math performance. Learn. Individ. Differ. 24, 190–197 (2013)
Khajah, M.M., Roads, B.D., Lindsey, R.V., Liu, Y.-E., Mozer, M.C.: Designing engaging games using bayesian optimization. In: Computer-Human, Interaction (2016)
Liu, Y.-E., Mandel, T., Brunskill, E., Popović, Z.: Towards automatic experimentation of educational knowledge. In: Human Factors in Computing Systems, pp. 3349–3358. ACM (2014)
Liu, Y.-E., Mandel, T., Brunskill, E., Popovic, Z.: Trading off scientific knowledge and user learning with multi-armed bandits. In: Educational Data Mining, pp. 161–168 (2014)
Lomas, D., Patel, K., Forlizzi, J.L., Koedinger, K.R.: Optimizing challenge in an educational game using large-scale design experiments. In: SIGCHI Conference on Human Factors in Computing Systems, pp. 89–98. ACM (2013)
Martin, B., Mitrovic, A., Kenneth, K.R., Mathan, S.: Evaluating and improving adaptive educational systems with learning curves. User Model. User Adap. Inter. 21(3), 249–283 (2011)
Papoušek, J., Pelánek, R.: Impact of adaptive educational system behaviour on student motivation. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M.F. (eds.) AIED 2015. LNCS, vol. 9112, pp. 348–357. Springer, Heidelberg (2015)
Papoušek, J., Pelánek, R., Stanislav, V.: Adaptive practice of facts in domains with varied prior knowledge. In: Educational Data Mining, pp. 6–13 (2014)
Papoušek, J., Stanislav, V., Pelánek, R.: Evaluation of an adaptive practice system for learning geography facts. In: Learning Analytics and Knowledge (2016, to appear)
Papoušek, J., Stanislav, V., Pelánek, R.: Evaluation of the impact of question difficulty on engagement and learning. Technical Report FIMU-RS-2016-02, Masaryk University (2016)
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Papoušek, J., Stanislav, V., Pelánek, R. (2016). Impact of Question Difficulty on Engagement and Learning. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_28
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DOI: https://doi.org/10.1007/978-3-319-39583-8_28
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