Alkhateeb, M., Hayashi, Y., Rajab, T., Hirashima, T. (2015). Comparison between kit-build and scratch-build concept mapping methods in supporting efl reading comprehension. Information and Systems in Education, 14(1), 13–27.
Alkhateeb, M., Rajab, T., Hayashi, Y., Hirashima, T. (2016). Experimental use of kit-build concept map system to support reading comprehension of efl in comparing with selective underlining strategy. International Journal of Advanced Computer Science and Applications, 7(4), 80–87. https://doi.org/10.14569/IJACSA.2016.070410.
Andoko, B.S., Hayashi, Y., Hirashima, T., Asri, A.N. (2020). Improving english reading for efl readers with reviewing kit-build concept map. Research and Practice in Technology Enhanced Learning, 15(7), 1–19.
Angeli, G., Premkumar, M.J.J., Manning, C.D. (2015). Leveraging linguistic structure for open domain information extraction. In Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, vol. 1. Association for Computational Linguistics, Beijing, (pp. 344–354).
Atapattu, T., Falkner, K., Falkner, N. (2017). A comprehensive text analysis of lecture slides to generate concept maps. Computers & Education, 115, 96–113. https://doi.org/10.1016/j.compedu.2017.08.001.
Cañas, A., Reiska, P., Möllits, A. (2017). Developing higher-order thinking skills with concept mapping: A case of pedagogic frailty. Knowledge Management and E-Learning, 9, 348–365.
Carr-Lopez, S.M., Galal, S.M., Vyas, D., Patel, R.A., H.Gnesa, E. (2014). The utility of concept maps to facilitate higher-level learning in a large classroom setting. American Journal of Pharmaceutical Education, 78, 170. https://doi.org/10.5688/ajpe789170.
Chiou, C.C. (2008). The effect of concept mapping on students’ learning achievements and interests. Innovations in Education and Teaching International, 45(4), 375–387.
Chularut, P., & DeBacker, T.K. (2004). The influence of concept mapping on achievement, self-regulation, and self-efficacy in students of English as a second language. Contemporary Educational Psychology, 29(3), 248–263. https://doi.org/10.1016/j.cedpsych.2003.09.001.
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P. (2011). Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12, 2493–2537.
Daley, B.J., Cañas, A.J., Stark-Schweitzer, T. (2007). Cmaptools: Integrating teaching, learning and evaluation in online courses. New Directions for Adult and Continuing Education, 2007, 113, 37–47. https://doi.org/10.1002/ace.245.
ESL Fast (2018). 365 Essays for english learners. https://www.eslfast.com/eslread. Accessed 13 Apr 2019.
Fader, A., Soderland, S., Etzioni, O. (2011). Identifying relations foropen information extraction. In Proceedings of the 2011 conference on empirical methods in natural language processing (EMNLP11). Association for Computational Linguistics, Edinburgh, (pp. 1535–1545).
Harrison, S., & Gibbons, C. (2013). Nursing student perceptions of concept maps: From theory to practice. Nursing Education Perspectives (Perspectives), 34(6), 395–399. https://doi.org/10.5480/10-465.
Hay, D.B. (2007). Using concept mapping to measure deep, surface and non-learning outcomes. Studies in Higher Education, 32(1), 39–57. https://doi.org/10.1080/03075070601099432.
Hayama, T., & Sato, S. (2020). Supporting online video e-learning with semi-automatic concept-map generation. In Learning and collaboration technologies. Designing, developing and deploying learning experiences part I, vol. 1. https://doi.org/10.1007/978-3-030-50513-4_5. Springer, Cham, (pp. 64–76).
Hearst, M.A. (1999). Untangling text data mining. In ACL ’99: Proceedings of the 37th annual meeting of the association for computational linguistics on computational linguistics. https://doi.org/10.3115/1034678.1034679. Association for Computational Linguistics, USA, (pp. 3–10).
Hirashima, T., Yamasaki, K., Fukuda, H., Funaoi, H. (2015). Framework of kit-build concept map for automatic diagnosis and its preliminary use. Research and Practice in Technology Enhanced Learning, 10(117), 1–21. https://doi.org/10.1186/s41039-015-0018-9.
Joshi, U., & Vyas, S. (2018). Assessment of perception and effectiveness of concept mapping in learning epidemiology. Indian Journal of Community Medicine, 43(1), 37–39. https://doi.org/10.4103/ijcm.IJCM_375_16.
Koh, J.H.L., Herring, S.C., Hew, K.F. (2010). Project–based learning and student knowledge construction during asynchronous online discussion. The Internet and Higher Education, 13(4), 284–291.
Latif, R.A., Mohamed, R., Dahlan, A., Nor, M.Z.M. (2016). Concept mapping as a teaching tool on critical thinking skills and academic performance of diploma nursing students. Education in Medicine Journal, 8(1), 67–74. https://doi.org/10.5959/eimj.v8i1.406.
Levitan, B., Yee, C.L., Russo, L., Bayney, R., Thomas, A.P., Klincewicz, S.L. (2008). A model for decision support in signal triage. Drug Safety, 31(9), 727–735. https://doi.org/10.2165/00002018-200831090-00001.
Machado, C.T., & Carvalho, A.A. (2020). Concept mapping: Benefits and challenges in higher education. The Journal of Continuing Higher Education, 1–16, 38–53. https://doi.org/10.1080/07377363.2020.1712579.
Manning, C.D., & Schutze, H. (1999). Foundations of statistical natural language processing. Cambridge, MA: MIT Press.
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D. (2014). The stanford corenlp natural language processing toolkit. In Proceedings of the 52nd annual meeting of the association for computational linguistics: System demonstrations. Association for Computational Linguistics, Baltimore, (pp. 55–60).
Mueller, J. (2017). Concept map rubric. http://jfmueller.faculty.noctrl.edu/240/conceptmaprubric.htm. Accessed 19 Oct 2019.
Nugumanova, A., Mansurova, M., Alimzhanov, E., Zyryanov, D., Apayev, K. (2015). Automatic generation of concept maps based on collection of teaching materials. In Proceedings of 4th International conference on data management technologies and applications. SCITEPRESS - Science and Technology Publications, Lda, Setubal, (pp. 248–254).
Pailai, J., Wunnasri, W., Yoshida, K., Hayashi, Y., Hirashima, T. (2017). The practical use of kit-build concept map on formative assessment. Research and Practice in Technology Enhanced Learning, 12(20), 1–23. https://doi.org/10.1186/s41039-017-0060-x.
Patel, R., Yang, Y., Marshall, I., Nenkova, A., Wallace, B.C. (2018). Syntactic patterns improve information extraction for medical search. In Proceedings of the 2018 conference of the north american chapter of the association for computational linguistics: Human language technologies, vol. 2. https://doi.org/10.18653/v1/N18-2060. Association for Computational Linguistics, New Orleans, (pp. 371–377).
Pinandito, A., Az-zahra, H.M., Hirashima, T., Hayashi, Y. (2019). User experience evaluation on computer-supported concept map authoring tool of kit-build concept map framework. In 2019 International conference on sustainable information engineering and technology (SIET). https://doi.org/10.1109/SIET48054.2019.8986005. IEEE, USA, (pp. 289–294).
Prasetya, D.D., Hirashima, T., Hayashi, Y. (2020). International Journal of Advanced Computer Science and Applications (IJACSA), 11(4), 144–153.
Presch, C. (2020). Semi-automatic creation of concept maps. Master’s thesis, Research Unit of Computer Graphics, Institute of Visual Computing and Human-Centered Technology, Faculty of Informatics, TU Wien, Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria. https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/.
Qasim, I., Jeong, J.W., Heu, J.U., Lee, D.H. (2013). Concept map construction from text documents using affinity propagation. Journal of Information Science, 39(6), 1–18. https://doi.org/10.1177/0165551513494645.
Rose, S., Engel, D., Cramer, N., Cowley, W. (2010). Automatic keyword extraction from individual documents. In Text mining applications and theory. https://doi.org/10.1002/9780470689646. John Wiley & Sons, US, (pp. 4–20).
Sadita, L., Furtado, P.G.F., Hirashima, T., Hayashi, Y. (2020a). Analysis of the similarity of individual knowledge and the comprehension of partner’s representation during collaborative concept mapping with reciprocal kit build approach. IEICE Transactions on Information and Systems, E103.D(7), 1722–1731. https://doi.org/10.1587/transinf.2019EDP7305.
Sadita, L., Hirashima, T., Hayashi, Y., Wunnasri, W., Pailai, J., Junus, K., Santoso, H.B. (2020b). Collaborative concept mapping with reciprocal kit-build: a practical use in linear algebra course. Research and Practice in Technology Enhanced Learning, 15(1), 1–22. https://doi.org/10.1186/s41039-020-00136-6.
Saeidifard, F., Heidari, K., Foroughi, M., Soltani, A. (2014). Concept mapping as a method to teach an evidence-based educated medical topic: A comparative study in medical students. Journal of Diabetes and Metabolic Disorders, 13(1), 86–90. https://doi.org/10.1186/s40200-014-0086-1.
Shian-Shyong, T., Pei-Chi, S., Jun-Ming, S., Jui-Feng, W., Wen-Nung, T. (2007). A new approach for constructing the concept map. Computers & Education, 49(3), 691–707. https://doi.org/10.1016/j.compedu.2005.11.020.
Stoica, I., Moraru, S., Miron, C. (2011). Concept maps, a must for the modern teaching-learning process. Romanian Reports in Physics, 63, 567–576.
Sugihara, K., Osada, T., Nakata, S., Funaoi, H., Hirashima, T. (2012). Experimental evaluation of kit-build concept map for science classes in an elementary school. In Proc. of ICCE 2012. Asia-Pacific Society for Computers in Education, Singapore, (pp. 17–24).
Taie, E.S. (2014). Concept mapping as an innovative teaching strategy to enhance cognitive learning in nursing administration course. International Journal for Innovation Education and Research, 2(7), 11–25.
Torre, D.M., Daley, B., Stark-Schweitzer, T., Siddartha, S., Petkova, J., Ziebert, M. (2007). A qualitative evaluation of medical student learning with concept maps. Medicine Teacher, 29(9), 949–955. https://doi.org/10.1080/01421590701689506.
Tseng, S. (2020). Using concept mapping activities to enhance students’ critical thinking skills at a high school in taiwan. Asia-Pacific Education Researcher, 29, 249–256. https://doi.org/10.1007/s40299-019-00474-0.
Vanhear, J. (2012). The use of concept mapping and vee heuristics in higher education to promote critical reflection and meaningful learning. Journal for Educators Teachers and Trainers, 4(1), 181–194.
Veronese, C., Richards, J., Pernar, L., Sullivan, A., Schwartzstein, R. (2013). A randomized pilot study of the use of concept maps to enhance problem-based learning among first-year medical students. Medical Teacher, 35(9), 1478–1484. https://doi.org/10.3109/0142159X.2013.785628.
Villalon, J.J., & Calvo, R.A. (2008). Concept map mining: A definition and a framework for its evaluation. In IEEE/WIC/ACM International conference on web intelligence and intelligent agent technology, vol. 3. IEEE, USA, (pp. 357–360).
Wafula, B.N. (2016). Automatic construction of concept maps. PhD thesis. http://urn.fi/urn:nbn:fi:uef-20160829.
Wu, S.Y., Chen, S.Y., Hou, H.T. (2016). Exploring the interactive patterns of concept map-based online discussion: A sequential analysis of users’ operations, cognitive processing and knowledge construction. Interactive Learning Environments,24(8), 1778–1794. https://doi.org/10.1080/10494820.2015.1057740.
Wunnasri, W., Pailai, J., Hayashi, Y., Hirashima, T. (2018). Reciprocal kit-build concept map: An approach for encouraging pair discussion to share each other’s understanding. IEICE Transactions on Information and Systems, E101D(9), 2356–2367. https://doi.org/10.1587/transinf.2017EDP7420.
Zubrinic, K., Kalpic, D., Milicevic, M. (2012). The automatic creation of concept maps from documents written using morphologically rich languages. Expert Systems with Applications, 39(16), 12709–12718. https://doi.org/10.1016/j.eswa.2012.04.065.