Abstract
In designing learning technology, it is critical that the technology supports both learning and engagement of students. However, achieving both aspects in a single technology design is challenging. We report on the design and evaluation of Gwynnette, intelligent tutoring software for early algebra. Gwynnette was deliberately designed to enhance students’ algebra learning and engagement, integrating several playful interaction and gamification features such as drag-and-drop interactions, an alien character, and sound effects. A virtual classroom experiment with 60 students showed that the system significantly enhanced both engagement and conceptual learning in early algebra, compared to the older version of the same software. Log data analyses gave insights into how the design might have affected the outcomes. This study demonstrates that a deliberate design of learning technology can help students learn and engage well in an unpopular subject such as algebra, a challenging dual goal in designing learning technologies.
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References
Nguyen, H., Harpstead, E., Wang, Y., McLaren, B.M.: Student agency and game-based learning: a study comparing low and high agency. In: Penstein Rosé, C., et al. (eds.) AIED 2018. LNCS (LNAI), vol. 10947, pp. 338–351. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93843-1_25
Spielhagen, F.R.: Closing the achievement gap in math: the long-term effects of eighth-grade algebra. J. Adv. Acad. 18, 34–59 (2006)
Rittle-Johnson, B., Siegler, R.S.: The relation between conceptual and procedural knowledge in learning mathematics: a review. Dev. Math. Skills 338, 75–110 (1998)
Crooks, N.M., Alibali, M.W.: Defining and measuring conceptual knowledge in mathematics. Dev. Rev. 34, 344–377 (2014)
McNeil, N.M., Alibali, M.W.: Why won’t you change your mind? Knowledge of operational patterns hinders learning and performance on equations. Child Dev. 76, 883–899 (2005)
Norton, S., Irvin, J.: Developing positive attitudes towards algebra. In: Proceedings of the 30th Annual Conference of the Mathematics Education Research Group of Australasia, pp. 561–570 (2007)
Long, Y., Aleven, V.: Educational game and intelligent tutoring system: a classroom study and comparative design analysis. ACM Trans. Comput.-Hum. Interact. 24, 1–27 (2017)
Pane, J.F., Griffin, B.A., McCaffrey, D.F., Karam, R.: Effectiveness of cognitive tutor algebra I at scale. Educ. Eval. Policy Anal. 36, 127–144 (2014)
Nagashima, T., Bartel, A., Silla, E., Vest, N., Alibali, M.W., Aleven, V.: Enhancing conceptual knowledge in early algebra through scaffolding diagrammatic self-explanation. In: Gresalfi, M., Horn, I.S. (eds.) Proceedings of the 14th International Conference of the Learning Sciences, pp. 35–43. International Society of the Learning Sciences (2020)
Jackson, G.T., McNamara, D.S.: Motivation and performance in a game-based intelligent tutoring system. J. Educ. Psychol. 105, 1036–1049 (2013)
Siew, N.M., Geofrey, J., Lee, B.N.: Students’ algebraic thinking and attitudes towards algebra: the effects of game-based learning using Dragonbox 12+ App. Res. J. Math. Technol. 5, 66–79 (2016)
Chan, J.Y.-C., Lee, J.-E., Mason, C.A., Sawrey, K., Ottmar, E.: From Here to There! A dynamic algebraic notation system improves understanding of equivalence in middle-school students. J. Educ. Psychol. 114, 56–71 (2021)
Ottmar, E., Landy, D., Goldstone, R.: Teaching the perceptual structure of algebraic expressions: preliminary findings from the pushing symbols intervention. In: Proceedings of the Annual Meeting of the Cognitive Science Society (2012)
Hulse, T., Daigle, M., Manzo, D., Braith, L., Harrison, A., Ottmar, E.: From Here to There! Elementary: a game-based approach to developing number sense and early algebraic understanding. Educ. Technol. Res. Dev. 67, 423–441 (2019)
Schneider, B., Jermann, P., Zufferey, G., Dillenbourg, P.: Benefits of a tangible interface for collaborative learning and interaction. IEEE Trans. Learn. Technol. 4, 222–232 (2011)
Ruan, S., et al.: Supporting children’s math learning with feedback-augmented narrative technology. In: Proceedings of the Interaction Design and Children Conference, pp. 567–580. ACM, New York (2020)
Xi, N., Hamari, J.: Does gamification satisfy needs? A study on the relationship between gamification features and intrinsic need satisfaction. Int. J. Inf. Manag. 46, 210–221 (2019)
Kim, J.T., Lee, W.-H.: Dynamical model for gamification of learning (DMGL). Multimed. Tools Appl. 74(19), 8483–8493 (2013). https://doi.org/10.1007/s11042-013-1612-8
Nagashima, T., Yadav, G., Aleven, V.: A framework to guide educational technology studies in the evolving classroom research environment. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds.) EC-TEL 2021. LNCS, vol. 12884, pp. 207–220. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86436-1_16
McAuley, E., Duncan, T., Tammen, V.V.: Psychometric properties of the intrinsic motivation inventory in a competitive sport setting: a confirmatory factor analysis. Res. Q. Exerc. Sport. 60, 48–58 (1989)
Marwan, S., Price, T.W., Chi, M., Barnes, T.: Immediate data-driven positive feedback increases engagement on programming homework for novices. In: CSEDM@EDM (2020)
Chu, J., Rittle‐Johnson, B., Fyfe, E.R.: Diagrams benefit symbolic problem‐solving. Br. J. Educ. Psychol. 87(2), 273–287 (2017). https://bpspsychub.onlinelibrary.wiley.com/doi/full/10.1111/bjep.12149?casa_token=iTS6Ofbs5n0AAAAA%3AZbCl5bJe2zKN6zI8RmcsOa60AKPV88Gq6q4UkS85-Mo_nncux2dKNjVr2pXUQNqdTwnCDzOLLiO1f9ot
Baker, R., Walonoski, J., Heffernan, N., Roll, I., Corbett, A., Koedinger, K.: Why students engage in “gaming the system” behavior in interactive learning environments. J. Interact. Learn. Res. 19, 185–224 (2008)
Long, Y., Holstein, K., Aleven, V.: What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge, pp. 399–408. ACM, Sydney (2018)
Stelitano, L., Doan, S., Woo, A., Diliberti, M., Kaufman, J.H., Henry, D.: The digital divide and COVID-19: teachers’ perceptions of inequities in students’ internet access and participation in remote learning. Data note: Insights from the American Educator Panels. Research Report. RAND Corporation (2020)
Acknowledgements
This research was supported by NSF Award #1760922. We thank Martha W. Alibali, Max Benson, Jenny Yun-Chen Chan, Octav Popescu, Jonathan Sewall, and all the participating teachers and students.
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Nagashima, T. et al. (2022). Designing Playful Intelligent Tutoring Software to Support Engaging and Effective Algebra Learning. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_19
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