Lili Tri Yulianti
Universitas PGRI Silampari

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Improving students' mathematics HOTS ability through the integration of deep learning and SOLO taxonomy Khathibul Umam Zaid Nugroho; Ahmad Marsehan; Lili Tri Yulianti; Nurtiara Nurtiara
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 11 No 2 (2025): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v11i2.27111

Abstract

Education in the 21st century requires students to have high-level thinking skills (HOTS), but the low HOTS of students' mathematics is still a significant challenge, as reflected in the results of international evaluations. This study aims to investigate the effectiveness of the integration of deep learning and SOLO Taxonomy in optimizing students' mathematics HOTS. Using a quasi-experimental design, the study involved 60 of students in grade VIII who were divided into an experimental group (n = 30) and a control group (n = 30). The experimental group received a learning intervention based on deep learning principles with the guidance of the SOLO Taxonomy, while the control group received conventional learning. Data were collected through a math HOTS pre-test and post-test and analyzed using ANCOVA to control students' initial scores. The results showed a significant increase in students' math HOTS in both groups, but the increase in the experimental group was much higher (p<0.01). The qualitative analysis of the students' responses also shows a clear development at the level of SOLO Taxonomy, from Unistructural/Multistructural to Relational and Extended Abstract. These findings indicate that the integration of deep learning and SOLO Taxonomy creates an effective synergistic effect in facilitating deep thinking. This research contributes to the educational literature by providing a measurable and practical learning model to improve HOTS, as well as providing important implications for teacher practice and curriculum development in the future.
Eksplorasi Etnomatematika Kuliner Sumatera Selatan melalui Literasi Digital Poster Berbantuan Artificial Intelligence Lili Tri yulianti; Khatibul Umam Zaid Nugroho
Journal of Mathematics Science and Education. Vol 9 No 1 (2026): Penelitian dan Karya kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to explore the concept of ethnomathematics in local culinary culture of South Sumatra, particularly tempoyak, and to present the findings through an Artificial Intelligence (AI)-assisted digital poster. The study employed a qualitative descriptive approach, with data collected through an online questionnaire and interviews. The questionnaire was administered to 18 respondents to determine their use of social media and their knowledge of the culture and local culinary traditions of South Sumatra. An interview was conducted with Mrs. Sariyani, a tempoyak maker in Lubuklinggau Barat I, to obtain information regarding the ingredients, measurements, preparation process, and fermentation. The results showed that 88.9% of respondents were familiar with tempoyak, but 38.9% were not yet aware of its ingredients and preparation stages. Meanwhile, 88.9% expressed interest in information presented through a digital poster. The interview results indicated a measurement of 1 kg of durian and 2 tablespoons of salt, demonstrating the concept of ratio 1,000 : 36 = 250 : 9.