Topic Modelling using Latent Dirichlet Allocation (LDA) to Investigate the Latent Topics of Mathematical Creative Thinking Research in Indonesia

Della Maulidiya(1*)


(1) Universitas Bengkulu
(*) Corresponding Author

Abstract


In mathematics education, there is increasing interest in Mathematical Creative Thinking (MCT), and numerous scientific documents on this topic have been published in Indonesia. The availability of publication databases has made it easier to access these documents and collect large amounts of data related to MCT. This data has the potential to uncover latent topics within MCT research articles published in Indonesian journals. This study analyzed a dataset of 102 articles obtained from Garuda (Digital Reference Garda) published between 2010 and 2022 in six proceedings and 49 journals. The study applied text processing techniques and used topic modeling with Latent Dirichlet Allocation (LDA) and variational expectation maximization algorithm (VEM) to produce 23 topics. Each topic consisted of general and special words from the beta probability value. The study found 30 unique words from topic modeling, including learning, abilities, problems, skills, mathematics, tests, levels, answers, approaches, assessments, basics, classes, developing, values, ideas, instruments, materials, mathematics, moderate, models, motivation, open-ended, processes, questions, reasons, solving, styles, subjects, teaching, and worksheets. The study also used LDA to classify documents into discovered themes and found that the five MCT research focuses were learning approaches, student competencies, teacher competencies, assessments, and learning resources. The study's findings revealed a research gap, specifically, the need for more MCT studies that concentrate on enhancing teacher competency.

Keywords


Topic Modelling; Latent Dirichlet Allocation; Mathematical Creative Thinking; Latent Topic; Text Processing

Full Text:

PDF

References


Ali, D., Zubaidah Amir, M. Z., & Vebrianto, R. (2021). Literature Review: Mathematical Creative Thinking Ability, and Students' Self Regulated Learning to Use an Open Ended Approach. Malikussaleh Journal of Mathematics Learning, 4(1), 52-61. http://doi.org/10.29103/mjml.v4i1.3095

Arifuddin, A., Wahyudin, W., Prabawanto, S., Yasin, M., & Elizanti, D. (2022). The Effectiveness of Augmented Reality-Assisted Scientific Approach to Improve Mathematical Creative Thinking Ability of Elementary School Students. Al Ibtida: Jurnal Pendidikan Guru MI, 9(2), 444-455. http://dx.doi.org/10.24235/al.ibtida.snj.v9i2.11647

Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. http://doi.acm.org/10.1145/2133806.2133826

Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/10.1016/j.compedu.2020.103855

Daiana, P., Surahmat, S., & Fathani, A.H. (2021). Profile of Students’ Mathematical Creative Thinking Ability in Solving Mathematical Problem. Formatif: Jurnal Ilmiah Pendidikan MIPA, 11(1), 49-62. http://dx.doi.org/10.30998/formatif.v11i1.7810

Debortoli, S., Müller, O., Junglas, I., & Vom Brocke, J. (2016). Text mining for information systems researchers: An annotated topic modeling tutorial. Communications of the Association for Information Systems, 39(1), 7. https://doi.org/10.17705/1CAIS.03907

Denny, M. J., & Spirling, A. (2018). Text preprocessing for unsupervised learning: Why it matters, when it misleads, and what to do about it. Political Analysis, 26(2), 168-189. https://doi.org/10.1017/pan.2017.44

de Vink, I. C., Willemsen, R. H., Lazonder, A. W., & Kroesbergen, E. H. (2022). Creativity in mathematics performance: The role of divergent and convergent thinking. British Journal of Educational Psychology, 92(2), e12459 . https://doi.org/10.1111/bjep.12459

Fatah, A., Suryadi, D., & Sabandar, J. (2016). Open-Ended Approach: An Effort in Cultivating Students' Mathematical Creative Thinking Ability and Self-Esteem in Mathematics. Journal on Mathematics Education, 7(1), 11-20. https://doi.org/10.22342/jme.7.1.2813.9-18

Gürcan, F. (2018, September). Major research topics in big data: A literature analysis from 2013 to 2017 using probabilistic topic models. In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) (pp. 1-4). IEEE. https://doi.org/10.1109/IDAP.2018.8620815.

Hadar, L. L., & Tirosh, M. (2019). Creative thinking in mathematics curriculum: An analytic framework. Thinking Skills and Creativity, 33, 100585. https://doi.org/10.1016/j.tsc.2019.100585

Hornik, K., & Grün, B. (2011). topicmodels: An R package for fitting topic models. Journal of statistical software, 40(13), 1-30. https://doi.org/10.18637/jss.v040.i13

Hwang, S., & Cho, E. (2021). Exploring Latent Topics and Research Trends in Mathematics Teachers’ Knowledge Using Topic Modeling: A Systematic Review. Mathematics, 9(22), 2956. https://doi.org/10.3390/math9222956

Mahmudin, C., Sumarmo, U., & Kustiana, A. (2020). The Effect of Inductive-Deductive Approach on Students’ Mathematical Creative Thinking Ability and Self-Efficacy. Journal of Innovative Mathematics Learning (JIML), 3(4), 215-226. http://dx.doi.org/10.22460/jiml.v3i4.p215-226

Newton, D., Wang, Y., & Newton, L. (2022). ‘Allowing them to dream’: fostering creativity in mathematics undergraduates. Journal of Further and Higher Education, 1-13 . https://doi.org/10.1080/0309877X.2022.2075719

Nufus, H., & Duskri, M. (2018). Mathematical Creative Thinking and Student Self-Confidence in the Challenge-Based Learning Approach. Journal of Research and Advances in Mathematics Education, 3(2), 57-68. https://doi.org/10.23917/jramathedu.v3i2.6367

OECD. (2019). Draft framework for the assessment of creative thinking in Pisa 2021. Paris: OECD Publisher.

Purwosetiyono, F. X. D., Sa’dijah, C., Hidayanto, E., Chandra, T. D., As’ari, A. R., & Irawan, E. B. (2018). Prospective teachers' conception of mathematical creative thinking. International Journal of Insights for Mathematics Teaching (IJOIMT), 1(2), 106-114. ISSN 2087-8885.

Sari, D. N. K., & Masrukan, M. (2022). Application of Socrative-Based Assessment to Measure Mathematical Creative Thinking Ability with Problem Based Learning Model Viewed from Curiosity. Unnes Journal of Mathematics Education, 11(2), 137-147. https://doi.org/10.15294/ujme.v11i2.59901

Sievert, C., & Shirley, K. (2014, June). LDAvis: A method for visualizing and interpreting topics. In Proceedings of the workshop on interactive language learning, visualization, and interfaces (pp. 63-70). http://dx.doi.org/10.3115/v1/W14-3110

Siswono, T. Y. E. (2010). Leveling students' creative thinking in solving and posing mathematical problem. Journal on Mathematics Education, 1(1), 17-40. https://doi.org/10.22342/jme.1.1.794.17-40

Suherman, S., & Vidákovich, T. (2022). Assessment of Mathematical Creative Thinking: A Systematic Review. Thinking Skills and Creativity, 101019. https://doi.org/10.1016/j.tsc.2022.101019

Susiaty, U. D., Prihatin, I., & Hartono, H. (2021). Developing and Playing Geometric Puzzle Game to Enhance the Ability of Mathematical Creative Thinking. Kreano, Jurnal Matematika Kreatif-Inovatif, 12(1), 39-50. https://doi.org/10.15294/kreano.v12i1.26613

Syaputri, A. W., Irwandi, E., & Mustakim, M. (2020). Naïve Bayes Algorithm for Classification of Student Major’s Specialization. Journal of Intelligent Computing and Health Informatics (JICHI), 1(1), 15-19. https://doi.org/10.26714/jichi.v1i1.5570

Taufiq, T., Budiarto, M. T., & Siswono, T. Y. E. (2018, December). The creative thinking process of teachers in designing mathematical tasks. In International Conference on Mathematics and Science Education of Universitas Pendidikan Indonesia (Vol. 3, pp. 634-638). P-ISSN 2655-2361, E-ISSN 2655-3252.

Tohir, M., & Muhasshanah, M. (2021). Mathematical issues in two-dimensional arithmetic for analyze students' metacognition and creative thinking skills. Alifmatika: Jurnal Pendidikan Dan Pembelajaran Matematika, 3(2), 170-183. https://doi.org/10.35316/alifmatika.2021.v3i2.170-183

Wiraprana, S., & Surya, E. (2022). The Development of Mathematics Learning Devices Based on Realistic Approaches to Improve Creative Thinking and Mathematical Communication Skills for 8th Grade Junior High School Students. Jurnal Cendekia: Jurnal Pendidikan Matematika, 6(2), 2011-2024. https://doi.org/10.31004/cendekia.v6i2.1443

Yang, D., Kleissl, J., Gueymard, C. A., Pedro, H. T., & Coimbra, C. F. (2018). History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining. Solar Energy, 168, 60-101 . https://doi.org/10.1016/j.solener.2017.11.023


Article Metrics

Abstract view : 424 times
PDF - 76 times

DOI: https://doi.org/10.26714/jichi.v3i2.11428

Refbacks

  • There are currently no refbacks.


____________________________________________________________________________
Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

W : https://jurnal.unimus.ac.id/index.php/ICHI
E : [email protected], [email protected]

View My Stats