Yupana Inka Tawa Pukllay arithmetic eye tracking analysis: novices
Main Article Content
Abstract
The concept of number emerges from the interaction of psychological, behavioral, and material elements of numerical cognition, collapsing the distinction between "abstract" and "concrete." This dual nature is evident in the Inca numerical system, where tools like the yupana integrate abstract numerical concepts with concrete materials. The Yupana Inka Tawa Pukllay (YITP), a Peruvian arithmetic method, enhances mathematical and visual-spatial skills through tile-based board games. While effective with children, its impact on university students is unexplored. This research used eye tracking to study gaze and attention during YITP operations, comparing novices and experts. Eight university students and two experts participated, with eye-tracking data and scatter plot (dispersion plot) analyses collected using Tobii Pro Glasses. The study introduced the Variation Ratio Tokens (VRT) metric to assess visual attention efficiency, showing significant improvements in VRT dispersion and attention during the arithmetic learning process. These findings suggest YITP's potential in higher education for improving cognitive processes and arithmetic performance, laying a foundation for future research and innovative educational practices. This work establishes a foundation for cross-cultural cognitive studies and innovative STEM education approaches leveraging ancestral knowledge systems.
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References
Ansari, D. (2008). Effects of development and enculturation on number representation in the brain. Nature reviews neuroscience, 9(4), 278-291. https://doi.org/10.1038/nrn2334
Arsalidou, M., & Pascual-Leone, J. (2016). Constructivist developmental theory is needed in developmental neuroscience. npj Science Learning, 1, 16016. https://doi.org/10.1038/npjscilearn.2016.16
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view.(2nd ed.). Holt, Rinehart and Winston.
Bhattacharyya, R. K. (2011). Brahmagupta: The ancient Indian mathematician. In B. Yadav & M. Mohan (Eds.), Ancient Indian leaps into mathematics (pp. 185–192). Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4695-0_12
Blascheck, T., Kurzhals, K., Raschke, M., Burch, M., Weiskopf, D., & Ertl, T. (2017). Visualization of eye tracking data: A taxonomy and survey. Computer Graphics Forum, 36(1), 260–284. https://doi.org/10.1111/cgf.13079
Borji, A., Cheng, M., Hou, Q., Jiang, H., & Li, J. (2019). Salient object detection: A survey. Computational Visual Media, 5(2), 117–150. https://doi.org/10.1007/s41095-019-0149-9
Bruner, J. (1974). Toward a theory of instruction. Harvard University Press.
Chang, T. T., Chen, N. F., & Fan, Y. T. (2022). Uncovering sex/gender differences of arithmetic in the human brain: Insights from fMRI studies. Brain and Behavior, 12(10), e2775. https://doi.org/10.1002/brb3.2775
Cooper, P. A. (1993). Paradigm shifts in designed instruction: From behaviorism to cognitivism to constructivism. Educational Technology, 33(5), 12-19.
Cui, Z., Hu, Y., Wang, X., Li, C., Liu, Z., Cui, Z., & Zhou, X. (2024). Form perception is a cognitive correlate of the relation between subitizing ability and math performance. Cognitive Processing, 1-11. https://doi.org/10.1007/s10339-024-01175-3
Dehaene, S. (2011). The number sense: How the mind creates mathematics. Oxford University Press.
Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2005). Three parietal circuits for number processing. In J. I. D. Campbell (Ed.), Handbook of mathematical cognition (pp. 433–453). Psychology Press.
Dehaene, S., Molko, N., Cohen, L., & Wilson, A. J. (2004). Arithmetic and the brain. Current Opinion in Neurobiology, 14(2), 218-224. https://doi.org/10.1016/j.conb.2004.03.008
Dehaene, S. (1997). The Number Sense: How the Mind Creates Mathematics. New York, NY: Oxford University Press.
Dogusoy-Taylan, B., & Cagiltay, K. (2014). Cognitive analysis of experts’ and novices’ concept mapping processes: An eye tracking study. Computers in Human Behavior, 36, 82-93.https://doi.org/10.1016/j.chb.2014.03.036
Duchowski, A. T., Medlin, E., Cournia, N., Gramopadhye, A., Melloy, B., & Nair, S. (2002). 3D eye movement analysis for VR visual inspection training. In Proceedings of the 2002 Symposium on Eye Tracking Research & Applications (pp. 103–110). Association for Computing Machinery. https://doi.org/10.1145/507072.507094
Escotto-Cordova, A., & Sanchez Ruiz, J. G. (2018). Recursos semióticos en la enseñanza de las matemáticas. Universidad Nacional Autónoma de México, Facultad de Estudios Superiores Zaragoza.
Gagnier, K. M., Holochwost, S. J., & Fisher, K. R. (2022). Spatial thinking in science, technology, engineering, and mathematics: Elementary teachers' beliefs, perceptions, and self‐efficacy. Journal of Research in Science Teaching, 59(1), 95-126. https://doi.org/10.1002/tea.21722
Gegenfurtner, A., Lehtinen, E., & Säljö, R. (2011). Expertise differences in the comprehension of visualizations: A meta-analysis of eye-tracking research in professional domains. Educational Psychology Review, 23, 523-552.https://doi.org/10.1007/s10648-011-9174-7
Gu, Y., & Paracha, S. (2023, November). When Eyes tell a story… An Eye-tracking Approach towards creating a fit-for-purpose Learning Management System for Higher Education. In 2023 IEEE International Conference on Development and Learning (ICDL) (pp. 306-311). IEEE.https://doi.org/10.1109/ICDL55364.2023.10364450
Guzman-Jimenez, R., Dhavit-Prem, Saldívar, A., & Escotto-Córdova, A. (2023). Semiotic alternations with the Yupana Inca Tawa Pukllay in the gamified learning of numbers at a rural Peruvian school. Educational Technology & Society, 26(1), 79–94.
Hartmann, M., Mast, F. W., & Fischer, M. H. (2016). Counting is a spatial process: Evidence from eye movements. Psychological Research, 80(3), 399-409. https://doi.org/10.1007/s00426-015-0722
Hayes, P. J. (1978). Cognitivism as a paradigm. Behavioral and Brain Sciences, 1(2), 238–239.https://doi.org/10.1017/S0140525X00074231
Kaczkurkin, A., Raznahan, A., & Satterthwaite, T. (2019). Diferencias sexuales en el cerebro en desarrollo: Conocimientos de la neuroimagen multimodal. Neuropsychopharmacology, 44(1), 71–85. https://doi.org/10.1038/s41386-018-0111-z
Kowalski, R. (1979). Algorithm = logic + control. Communications of the ACM, 22(7), 424–436.https://doi.org/10.1145/359131.359136
Kerkhoff, Y., Wedepohl, S., Nie, C., Ahmadi, V., Haag, R., & Behrends, S. (2022). A fast open-source Fiji-macro to quantify virus infection and transfection on single-cell level by fluorescence microscopy. MethodsX, 9, 101834. https://doi.org/10.1016/j.mex.2022.101834
Kunz, A. K., Zlatkin-Troitschanskaia, O., Schmidt, S., Nagel, M. T., & Brückner, S. (2024). Investigation of students' use of online information in higher education using eye tracking. Smart Learning Environments, 11(1), 44.https://doi.org/10.1186/s40561-024-00300-3
Lo, S., & Andrews, S. (2022). The effects of mental abacus expertise on working memory, mental representations, and calculation strategies used for two-digit Hindu-Arabic numbers. Journal of Numerical Cognition, 8(1), 89–122. https://doi.org/10.5964/jnc.8073
Marlina, Y., & Yunas, M. F. (2024). Evaluation of Digital-English Project Based Learning (PJBL) Model through Eye Tracking Analysis in Higher Education. EDUTEC: Journal of Education And Technology, 7(3), 401–411.
Mix, K. S., & Cheng, Y. L. (2012). The relation between space and math: Developmental and educational implications. In Advances in Child Development and Behavior, 42, 197–243. https://doi.org/10.1016/B978-0-12-394388-0.00006-X
Nickerson, R. S. (1988). Counting, computing, and the representation of numbers. Human Factors: The Journal of the Human Factors and Ergonomics Society, 30(2), 181–199. https://doi.org/10.1177/001872088803000206
Ooms, K., De Maeyer, P., & Fack, V. (2014). Study of the attentive behavior of novice and expert map users using eye tracking. Cartography and Geographic Information Science, 41(1), 37–54.https://doi.org/10.1080/15230406.2013.860255
Ott, N., Brünken, R., Vogel, M., & Malone, S. (2018). Multiple symbolic representations: The combination of formula and text supports problem solving in the mathematical field of propositional logic. Learning and Instruction, 58, 88–105. https://doi.org/10.1016/j.learninstruc.2018.04.010
Piaget, J. (1970). Piaget’s theory. In P. H. Mussen (Ed.), Carmichael’s manual of child psychology (Vol. 1, pp. 703–732). Wiley.
Prem, D. (2016). Yupana Inka - Decodificando la matemática Inka: Método Tawa Pukllay. Asociación Yupanki.
Prem, D. (2018). Hatun Yupana Qellqa: Método Tawa Pukllay. Asociación Yupanki.
Prem, D., Guzman-Jimenez, R., Sotomayor, F., & Saldivar, A. (2022). Tawa Pukllay proof: New method for solving arithmetic operations with the Inca Yupana using pattern recognition and parallelism. In 2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML) (pp. 209–218). https://doi.org/10.1109/FAIML57028.2022.00048
Ram, S. S., & Ramakalyani, V. (Eds.). (2022). History and development of mathematics in India: Proceedings of the Annual Conference on History and Development of Mathematics, 2018. National Mission for Manuscripts.
Richeson, A. W. (1933). The number system of the Mayas. The American Mathematical Monthly, 40(9), 542–546. https://doi.org/10.1080/00029890.1933.11987486
Ribeiro da Silva Junior, L., Henrique Goncalves Cesar, F., Theoto Rocha, F., & Eduardo Thomaz, C. (2018). A combined eye-tracking and EEG analysis on chess moves. IEEE Latin America Transactions, 16(5), 1288–1297. https://doi.org/10.1109/TLA.2018.8407099
Sheridan, H., & Reingold, E. M. (2014). Expert vs. novice differences in the detection of relevant information during a chess game: Evidence from eye movements. Frontiers in Psychology, 5, Article 941. https://doi.org/10.3389/fpsyg.2014.00941
Silva, A., Afonso, J., Sampaio, A., Pimenta, N., Lima, R., Castro, H., & Murawska-Ciałowicz, E. (2022). Differences in visual search behavior between expert and novice team sports athletes: A systematic review with meta-analysis. International Journal of Environmental Research and Public Health, 19(12), 7172. https://doi.org/10.3389/fpsyg.2022.1001066
Šola, H. M., Qureshi, F. H., & Khawaja, S. (2024). AI Eye-Tracking Technology: A new era in managing cognitive loads for online learners. Education Sciences, 14(9), 933. https://doi.org/10.3390/educsci14090933
Srinivasan, M., Wagner, K., Frank, M. C., & Barner, D. (2018). The role of design and training in artifact expertise: The case of the abacus and visual attention. Cognitive Science, 42(Suppl 3), 757–782. https://doi.org/10.1111/cogs.12611
Sundstedt, V., & Garro, V. (2022). A systematic review of visualization techniques and analysis tools for eye-tracking in 3D environments. Frontiers in Neuroergonomics, 3, 910019. https://doi.org/10.3389/fnrgo.2022.910019
Thayaseelan, K., Zhai, Y., Li, S., & Liu, X. (2024). Revalidating a measurement instrument of spatial thinking ability for junior and high school students. Disciplinary and Interdisciplinary Science Education Research, 6(1), 3. https://doi.org/10.1186/s43031-024-00095-8
Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352. https://doi.org/10.1037/a0028446
van der Weijden, F. A., Kamphorst, E., Willemsen, R. H., Kroesbergen, E. H., & van Hoogmoed, A. H. (2018). Strategy use on bounded and unbounded number lines in typically developing adults and adults with dyscalculia: An eye-tracking study. Journal of Numerical Cognition, 4(2), 337–359. https://doi.org/10.5964/jnc.v4i2.115
Wang, C. (2020). A review of the effects of abacus training on cognitive functions and neural systems in humans. Frontiers in Neuroscience, 14, 913. https://doi.org/10.3389/fnins.2020.00913
Yang, C. C., Totzek, J. F., Lepage, M., & Lavigne, K. M. (2022). Normative sex differences in cognition and morphometric brain connectivity: Evidence from 30,000+ UK Biobank participants. bioRxiv. https://doi.org/10.1101/2022.10.12.511938
Yuan, L., Kong, F., Luo, Y., Zeng, S., Lan, J., & You, X. (2019). Gender differences in large-scale and small-scale spatial ability: A systematic review based on behavioral and neuroimaging research. Frontiers in Behavioral Neuroscience, 13, 128. https://doi.org/10.3389/fnbeh.2019.00128