Abstract
Based on a previously proposed data structure, Understanding Tree, this paper introduces two data structures: Understanding Graph and Understanding Map, and explores their potential applications. Understanding Graph and Understanding Map are special cases of semantic network. They are constructed according to concept definitions. Potential applications of them include quantitatively measuring a concept’s complexity degree, measuring a concept’s importance degree in a domain, and computing an optimized learning sequence for comprehending a concept etc.
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References
Ausubel, D.P.: The Acquisition and Retention of Knowledge: A Cognitive View. Springer Science & Business Media, Berlin, Heidelberg (2012). https://doi.org/10.1007/978-94-015-9454-7
Buzan, T., Buzan, B.: How to mind map. Thorsons, London (2002)
Dhindsa, H.S., Roger Anderson, O., et al.: Constructivist-visual mind map teaching approach and the quality of students’ cognitive structures. J. Sci. Educ. Technol. 20(2), 186–200 (2011)
Doerfel, M.L., Barnett, G.A.: A semantic network analysis of the international communication association. Hum. Commun. Res. 25(4), 589–603 (1999)
Drieger, P.: Semantic network analysis as a method for visual text analytics. Procedia Soc. Behav. Sci. 79, 4–17 (2013)
Fellbaum, C.: A semantic network of English verbs. WordNet Electron. Lex. Database 3, 153–178 (1998)
Hager, P.J., Scheiber, H.J., Corbin, N.C.: Designing & Delivering: Scientific, Technical, and Managerial Presentations. John Wiley & Sons, Hoboken (1997)
Howse, J., Stapleton, G., Taylor, J.: Spider diagrams. LMS J. Comput. Math. 8, 145–194 (2005)
Liu, G.: Understanding tree: a tool to estimate one’s understanding of knowledge. arXiv preprint arXiv:1612.07714 (2016)
Liu, G.: Topic model supervised by understanding map. arXiv preprint arXiv:2110.06043 (2021)
Liu, G.: ICKEM: a tool for estimating one’s understanding of conceptual knowledge. In: Memmi, G., Yang, B., Kong, L., Zhang, T., Qiu, M. (eds.) Knowledge Science, Engineering and Management. KSEM 2022. LNCS, vol. 13368, pp. 44–57. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-10983-6_4
Markham, K.M., Mintzes, J.J., Jones, M.G.: The concept map as a research and evaluation tool: further evidence of validity. J. Res. Sci. Teach. 31(1), 91–101 (1994)
McClure, J.R., Sonak, B., Suen, H.K.: Concept map assessment of classroom learning: reliability, validity, and logistical practicality. J. Res. Sci. Teach. Off. J. Natl. Assoc. Res. Sci. Teach. 36(4), 475–492 (1999)
Novak, J.D.: Meaningful learning: the essential factor for conceptual change in limited or inappropriate propositional hierarchies leading to empowerment of learners. Sci. Educ. 86(4), 548–571 (2002)
Novak, J.D., Cañas, A.J.: The theory underlying concept maps and how to construct and use them (2008)
Sowa, J.F.: Semantic networks (1987)
Stapleton, G., Howse, J., Taylor, J., Thompson, S.: The expressiveness of spider diagrams. J. Log. Comput. 14(6), 857–880 (2004)
Tseng, S.S., Sue, P.C., Su, J.M., Weng, J.F., Tsai, W.N.: A new approach for constructing the concept map. Comput. Educ. 49(3), 691–707 (2007)
Zubaidah, S., Fuad, N.M., Mahanal, S., Suarsini, E.: Improving creative thinking skills of students through differentiated science inquiry integrated with mind map. J. Turkish Sci. Educ. 14(4), 77–91 (2017)
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Liu, G. (2023). Understanding Graph and Understanding Map and Their Potential Applications. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Lecture Notes in Computer Science, vol 13625. Springer, Cham. https://doi.org/10.1007/978-3-031-30111-7_32
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DOI: https://doi.org/10.1007/978-3-031-30111-7_32
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