Abstract
Improving the quality of the concept map affects the activation of Higher-Order Thinking. Various methods for manually evaluating the quality of concept maps have been developed. However, these methods can consume a substantial amount of time and burden teachers with a heavy workload. The Kit-Build concept map is a framework for learning that enables the automatic evaluation of concept maps. The prior study has proven that raising the concept map quality using the Kit-Build concept map affects learning achievement. However, the effect has yet to be investigated on Higher-Order Thinking activation. This study aimed to investigate the influence of the enhancement of concept map quality on Higher-Order Thinking stimulation in the Kit-Build concept map. The Higher-Order Thinking activation was measured from the student’s performance in solving the Higher-Order Thinking questions. This study also evaluated the validity of the concept map automated assessment in the Kit-Build concept map by comparing the assessment results of the method with the assessment results of the manual method. This study’s results suggested that improving the quality of concept maps by using the Kit-Build concept map could activate Higher-Order Thinking. The findings also showed that the automated assessment in the Kit-Build concept map was a promising tool that could be utilized to assess the quality of concept maps.
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References
Adler, R.F., Benbunan-Fich, R.: The effects of task difficulty and multitasking on performance. Interact. Comput. 27(4), 430–439 (2014). https://doi.org/10.1093/iwc/iwu005
Alfayoumi, I.: The impact of combining concept-based learning and concept-mapping pedagogies on nursing students’ clinical reasoning abilities. Nurse Educ. Today 72, 40–46 (2019). https://doi.org/10.1016/j.nedt.2018.10.009
Alkhateeb, M., Hayashi, Y., Rajab, T., Hirashima, T.: Comparison between kit-build and scratch-build concept mapping methods in supporting EFL reading comprehension. J. Inf. Syst. Educ. 14(1), 13–27 (2015)
Anderson, L.W., Karthwohl, D.R., Cruikshank, P.W., Mayer, R.E., Pintrich, P.R., Wittrock, M.C.: A Taxonomy of Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Longman, New York (2001)
Areesophonpichet, S.: A development of analytical thinking skill of graduate students by using concept mapping. In: The Asian Conference on Education 2013 - Official Conference Proceedings (2014). https://doi.org/10.22492/2186-5892.20130381
Ausubel, D.P.: Assimilation theory in meaningful learning and retention processes. In: Ausubel, D.P. (ed.) The Acquisition and Retention of Knowledge: A Cognitive View, pp. 101–145. Springer, Dordrecht (2000). https://doi.org/10.1007/978-94-015-9454-7_5
Bilik, O., Kankaya, E.A., Deveci, Z.: Effects of web-based concept mapping education on students’ concept mapping and critical thinking skills: a double blind, randomized, controlled study. Nurse Educ. Today 86, 104312 (2020). https://doi.org/10.1016/j.nedt.2019.104312
Brookhart, S.: How to assess higher-order thinking skills in your classroom. ASCD, 1703 North Beauregard Street, Alexandria, VA 22311-1714 (2010)
Cañas, A.J., Reiska, P., Möllits, A.: Developing higher-order thinking skills with concept mapping: a case of pedagogic frailty. Knowl. Manag. E-Learn. 9(3), 348–365 (2017)
Chen, M.R.A., Hwang, G.J.: Effects of a concept mapping-based flipped learning approach on EFL students’ english speaking performance, critical thinking awareness and speaking anxiety. Br. J. Edu. Technol. 51(3), 817–834 (2020). https://doi.org/10.1111/bjet.12887
Erdimez, O., Tan, S., Zimmerman, R.: The use of concept maps as a tool to measure higher level thinking skills in elementary school science classes. J. Educ. Gifted Young Sci. 5(2), 1–20 (2017)
Furtado, P.G.F., Hirashima, T., Khudur, N., Pinandito, A., Hayashi, Y.: Influence of access to reading material during concept map recomposition in reading comprehension and retention. IEICE Trans. Inf. Syst. E104.D(11), 1941–1950 (2021). https://doi.org/10.1587/transinf.2021EDP7069
Hirashima, T., Yamasaki, K., Fukuda, H., Funaoi, H.: Framework of kit-build concept map for automatic diagnosis and its preliminary use. Res. Pract. Technol. Enhanc. Learn. 10(1), 1–21 (2015). https://doi.org/10.1186/s41039-015-0018-9
Hirashima, T.: Reconstructional concept map: automatic assessment and reciprocal reconstruction. Int. J. Innov. Creativity Change (IJICC) 5(5), 669–682 (2019)
Hirashima, T.: Design of learning by logical empathic understanding in technology enhanced learning. In: Yamamoto, S., Mori, H. (eds.) HCII 2021. LNCS, vol. 12766, pp. 38–49. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78361-7_4
Hung, C.H., Lin, C.Y.: Using concept mapping to evaluate knowledge structure in problem-based learning. BMC Med. Educ. 15(212) (2015). https://doi.org/10.1186/s12909-015-0496-x
Imbulpitiya, A., Whalley, J., Senapathi, M.: Examining the exams: bloom and database modelling and design. In: Australasian Computing Education Conference, ACE 2021, pp. 21–29. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3441636.3442301
Machado, C.T., Carvalho, A.A.: Concept mapping: benefits and challenges in higher education. J. Contin. High. Educ. 68(1), 38–53 (2020). https://doi.org/10.1080/07377363.2020.1712579
Mayer, R.E., Wittrock, M.C.: Problem-Solving Transfer. Prentice Hall International, Hoboken (1996)
McClure, J.R., Bell, P.E.: Effects of an environmental education-related STS approach instruction on cognitive structures of preservice science teachers (1990)
Mueller, J.: Concept map rubric (2017). http://jfmueller.faculty.noctrl.edu/240/conceptmaprubric.htm. Accessed 16 Jun 2021
Novak, J.D., Cañas, A.J.: the theory underlying concept maps and how to construct and use them. Technical report IHMC CmapTools 2006-01 Rev 01-2008, Florida Institute for Human and Machine Cognition (2008)
Novak, J.D., Gowin, D.B., Kahle, J.B.: Learning how to learn. Cambridge University Press, Cambridge (1984). https://doi.org/10.1017/CBO9781139173469
Pinandito, A., Prasetya, D.D., Hayashi, Y., Hirashima, T.: Design and development of semi-automatic concept map authoring support tool. Res. Pract. Technol. Enhanc. Learn. 16(1), 1–19 (2021). https://doi.org/10.1186/s41039-021-00155-x
Wunnasri, W., Pailai, J., Hayashi, Y., Hirashima, T.: Validity of kit-build method for assessment of learner-build map by comparing with manual methods. IEICE Trans. Inf. Syst. E101.D(4), 1141–1150 (2018). https://doi.org/10.1587/transinf.2017EDP7177
Yamasaki, K., Fukuda, H., Hirashima, T., Funaoi, H.: Kit-build concept map and its preliminary evaluation. In: Proceedings of 18th International Conference on Computers in Education, pp. 290–294 (2010)
Zvacek, S.M., Restivo, M.T., Chouzal, M.F.: Concept mapping for higher order thinking. Int. J. Eng. Pedagogy (iJEP) 3(S1), 6–10 (2013). https://doi.org/10.3991/ijep.v3iS1.2401
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This work was partially supported by JSPS KAKENHI Grant Number 21H03565 and 19KK0052.
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Nurmaya, Pinandito, A., Hayashi, Y., Hirashima, T. (2023). Investigation of the Relationship Between Map Quality and Higher-Order Thinking in Kit-Build Concept Map. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_27
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