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Nazira Ananda; Yahfizham Yahfizham

Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam 2025 International Forum of Researchers and Lecturers

The development of information and communication technology (ICT) has opened up great opportunities in increasing the effectiveness of mathematics learning, especially in supporting students' computational thinking skills. This article presents a mini-literature review related to the use of Tibi's Mathematics Suite (TMS) as interactive software in mathematics learning. Using a descriptive qualitative approach and desk research method, this study analyzes various scientific sources to evaluate the contribution of TMS to the development of computational thinking, which includes decomposition, pattern recognition, abstraction, and algorithms. The results of the study show that TMS is able to increase students' interest in learning, independence, and metacognitive awareness, although its implementation still faces challenges such as limited infrastructure and teacher training. This review recommends the need for further empirical studies and education policy support so that the integration of TMS can be more optimal in the context of the Independent Curriculum and the strengthening of the Pancasila Student Profile.

Renda Pandu Winata; M. Syahran Jailani

Jurnal Bintang Pendidikan Indonesia 2025 Pusat Riset dan Inovasi Nasional

This study is based on the importance of Mathematics Learning based on Computational Thinking in Asy-Syifa Islamic Schools, Jambi City, because some students at Asy-Syifa Islamic Schools, Jambi City have difficulty understanding the concept of learning mathematics, lack of practice, and even motivation factors. Therefore, the purpose of this study is to determine the planning, implementation and evaluation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in class IV of Asy-Syifa Islamic School, Jambi City. To achieve these goals, the researcher used qualitative research with the method used Phenomenology. The data collection techniques used in this study were observation, interviews and documentation. The data source selected was snowball sampling using respondents from the principal, class IVA mathematics study teachers and class IV students. The data analysis techniques used in this study were data reduction, data presentation and data conclusions. The results of this study are 1) Planning of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Introduction to Computational Thinking, Determining learning objectives, Mathematics learning design based on Computational Thinking, Development of media or learning tools, Learning activities, Learning assessment and improvement. 2) Implementation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Decomposition (Problem Deconstruction), Implementation of technology, Collaboration and Discussion and evaluation and reflection. 3) Evaluation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Understanding the basic concept of Computational Thinking, Implementation in learning, Assessment of Computational Thinking skills, Learning outcomes and feedback from students and teachers.

Putri Anggraini Purba; Ainun Palihah; Nurmila Hidayana; Rosliana Siregar

Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa 2024 Asosiasi Riset Ilmu Matematika dan Sains Indonesia

This study aims to explain the implementation of computational thinking-based mathematics learning  at SMA Negeri 2 Medan. This research is classified as qualitative descriptive research. Data sources used in this study include the learning process, informants from Mathematics teachers of SMA Negeri 2 Medan, teaching modules, and field notes about the learning process based on computational thinking. Data collection techniques include observation, interviews, and document analysis. The results of this study show that computational thinking-based mathematics learning  is able to increase teacher creativity in teaching, increase students' thinking to be open to the surrounding environment which is actually closely related to mathematics, and be able to solve problems structurally and computational thinking-based learning  gets a good response by students