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Journal : Assyfa Learning Journal

Machine Learning Analysis of Junior High Students' Math Representation in HOTS Problems Utomo, Dwi Priyo
Assyfa Learning Journal Vol. 2 No. 2 (2024): Assyfa Learning Journal
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/alj.v2i2.75

Abstract

This study investigates the mathematical representation processes of junior high school students in Indonesia when solving higher-order thinking Skills (HOTS) problems, using machine learning-based analysis Given the increasing volume of mathematics education research (PER) literature, traditional thematic analysis methods are inadequate for tracking developments and identifying future research directions. To address this, we applied the latent Dirichlet allocation (LDA) algorithm, a natural language processing (NLP) technique, to automate thematic analysis of Indonesian PER literature. Our sample comprised six junior high school students, categorized by mathematical ability into high (2 students), medium (2 students), and low (2 students). Data preprocessing included tokenization, stop-word removal, and stemming to prepare the text corpus for LDA modeling. HOTS problems, which require critical thinking and problem-solving skills, were used to assess students' abilities. The findings highlight three primary aspects of mathematical representation: visual, symbolic, and verbal. High-ability students demonstrated a propensity for using and transforming visual representations innovatively, while medium-ability students predominantly employed symbolic representations. In contrast, low-ability students exhibited limited or no changes in their representations. These results underscore the varying approaches to mathematical problem-solving based on ability levels. This study illustrates the effectiveness of NLP methods in thematic analysis, presenting an automated, comprehensive approach to understanding thematic developments in students' mathematical representation processes. By identifying research gaps and suggesting future research directions, our findings can inform scholars and educators aiming to enhance the quality of mathematics education. However, the small sample size limits the generalizability of the results, and future research with larger samples is recommended to validate and expand upon these findings.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Kadir Aci Maria Jehaut Putri Adi Slamet Kusumawardana Agung Deddiliawan Ismail Agustin Fatmawati Akbar Sutawidjaja Akbar Sutawidjaja, Akbar Alfi Rachma Nisfi Laila Alfiani Athma Putri Rosyadi Alvionita Widayanti Alvionita Widayanti, Alvionita Amaliyah, Tuti Zahrotul Anastasya Bella Putri Tambunan Anis Farida Jamil Arif Hidayatul Khusna Ayu Amelia Sari Azizah Lubis, Jalilah Baiduri Baiduri Banowati Amalia Putri Choirudin, Choirudin Dhakal, Amrit Dimiati Tari Utari djunaidi, arif Erentrudis Junirestu Erik Eriyanto Eriyanto, Erik Gilang A. Sandy handayani, tri rahayu Hanida Emilia Dewi Pratiwi Himaya Agustin Inggit Kentjonowaty Irawati, Nurul Kamil, Tika R Kamilia Rahmah Kustantini Farah Yogi M. Ruskhan Fauza Masdelima Azizah Sormin Mayang Dintarini Mayasari, Eny Minatun Nadlifah Mokhammad Dedi penta Putra Novianti, Vina Novita Anggraini Nur Khosiah Nurul Humaidah Phong Thanh Nguyen Putri, Octavina Rizky Utami Rahmatia Rahmatia Rani Darmayanti Retno Trisniwati Ridina Sekaryanti Riska Nur Rohmah Riski Baroroh Riza Yuliana Rizal Dian Azmi Rizal Dian Azmi Rohmah Nila Farida Rohmah, Riska Nur Roro Eko Susetyarini Rr. Eko Susetyarini Saniyatul Wardah Saputro, Wibowo Juli Sari, Ayu Amelia Silvana, Ari Wahyu Siti Inganah Siti Khoiruli Ummah Siti Nur Hasanah, Siti Nur Sofyan Samosir, Benny Sukriah, Yani Sulfiah, Sitti Karimah Teguh Santoso Teguh Santoso Trisniwati, Retno Usmiyatun Usmiyatun Vina Novianti Yuliana, Riza Yuni Pantiwati Zuhkrufurrohmah Zukhrufurrohmah, Zukhrufurrohmah Zukhrufururrohmah Zukhrufururrohmah Zukhrufururrohmah, Zukhrufururrohmah