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This study aims to examine the use of Macaulay2 software in improving students' computational thinking skills in mathematics learning, especially in abstract algebra material. Macaulay2 as an open-source Computer Algebra Sistem (CAS) provides a symbolic and algorithmic environment that encourages logical and systematic exploration of mathematical concepts. Literature reviews show that the use of Macaulay2 can strengthen conceptual understanding, train computational thinking, and introduce mathematical programming to students. However, technical challenges, limited Indonesian language teaching materials, and limited educational infrastructure are obstacles that need to be overcome through collaboration between educational stakeholders.

This study is a mini literature review aimed at exploring the use of the Math Master software in enhancing students’ computational thinking skills. Computational thinking is a crucial 21st-century skill, particularly in technology-based mathematics learning. This article reviews several relevant studies that discuss the use of educational software, specifically Math Master, in helping students solve mathematical problems systematically, logically, and efficiently. The review findings indicate that Math Master can serve as an interactive tool that supports conceptual understanding and encourages algorithmic thinking among students.

This study aims to examine the role of Math Editor software in developing students' computational thinking skills in mathematics learning. Computational thinking is an important skill that involves the process of solving problems logically, systematically, and efficiently. This study adopts a literature review approach by analyzing literature related to the use of Math Editor as a supporting medium for the mathematical thinking process. The results of the study indicate that the use of Math Editor not only makes it easier to compile mathematical expressions, but also strengthens analytical thinking skills, increases accuracy, and encourages students' independent reflection. In addition, the integration of Math Editor into a digital learning platform expands opportunities for the development of interactive and collaborative learning. Thus, this software has great potential in supporting technology-based mathematics learning.

Computational thinking skills are now one of the main skills in 21st century education. Not only does it support mastery of technology, this ability is also very important in understanding and solving problems systematically. This study aims to review in depth the potential for utilizing Triangulos software as an innovative learning medium to improve students' computational thinking skills, especially in mathematical geometry material. The study used a literature review approach by tracing primary and secondary sources from 2020–2024. The results of the analysis show that the use of Triangulos can encourage students to develop algorithmic thinking patterns, spatial visualization, and problem-solving skills. In addition, this application also supports independent and collaborative learning, and has the potential to increase student motivation and activeness in class. These findings recommend the integration of Triangulos in mathematics learning as one of the efforts to innovate education in the digital era. Further empirical research is highly recommended to test the effectiveness of this application at various levels of education.    

Computational thinking skills are one of the important competencies in the world of education in the 21st century, especially in the fields of science, technology, engineering, and mathematics (STEM). GNU Octave as an open source software similar to MATLAB offers a numeric programming environment that can be used to train and develop students' computational thinking skills. Researchers use a literature study method that aims to see the extent to which GNU Octave can be used in learning to improve students' computational thinking skills. The literature sources used come from national and international journal articles, conference proceedings, and other trusted sources over the past 10 years. The results of the review show that GNU Octave is effective as a learning tool for numeric programming, problem solving, and mathematical modeling, and has a positive contribution to honing students' algorithmic and analytical thinking skills.

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.

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.

Computational thinking is the ability to solve problems and design systems using concepts and techniques generally associated with computers and computer programming. The aim of this research is to conduct a literature review, namely to determine the application of computational thinking in mathematics learning. The technique used is the Systematic Literature Review (SLR) strategy. SLR is a research method that aims to identify, study and interpret data in journals systematically with specified stages. The conclusion obtained from the research results is that the application of computational thinking in mathematics learning can be done using four foundations of computational thinking, namely: (1) Decomposition, namely the problem is divided into small parts, (2) Pattern recognition, namely the process of identifying patterns or sequences of problems, (3) Abstraction, namely consideration of the important parts of a problem, and (4) Algorithm, namely a series of instructions for solving the problem. Examples of its application include the use of interactive mathematics software, mathematical simulations, problem-based learning with technology, adaptive learning and the use of educational games.  

In the 21st century, technological development is increasingly rapid and tends towards digitalization, when compared to a few decades ago. So, if it is not utilized, it will be something in vain. Using technology-based learning media will facilitate the learning process, so that it can improve the quality of learning and can improve students' mathematical representation skills. One of the technology-based mathematics learning media that can help students in representing mathematical models/problems is GeoGebra Software. The purpose of this research activity is to find out whether the use of GeoGebra software  media can improve students' computational thinking skills in mathematics learning. Improving students' understanding of how to show a model or mathematical problem in graph form or vice versa is one of the benefits of research. The method used in this study is Systematic Literature Review (SLR). This research method is carried out by reviewing journals in a structured manner with predetermined steps. The result of this research activity is that GeoGebra can help students understand the concept of straight line graphs in more detail with a varied and attractive appearance. In addition, for teachers themselves, GeoGebra can be used as a mathematics learning tool to create interactive learning that allows students to explore various abstract mathematical concepts.  

In the modern age, technological advancements are undeniably progressing at a rapid pace. Throughout its rapid progress, technology has had an impact on various aspects of life, and education is one of the fields affected by it. In the context of technological advancement, both teachers and students acquire important skills known as computational thinking. Computational thinking refers to the ability to systematically solve problems using logical reasoning and step-by-step decision-making for problem-solving. Computational thinking has a direct relationship with students' mathematical learning, especially in the process of tackling mathematical problems. The purpose of this research is to investigate the influence of computational thinking on mathematics learning, with a specific focus on algorithm analysis in programming. The research methodology involves a comprehensive analysis of related literature to delve into the research topic, using a literature review method. The results of this research indicate that computational thinking can be measured using specific indicators that play a crucial role in mathematics learning. Students' ability to apply computational thinking techniques to solve mathematical problems can be determined based on indicators such as decomposition, pattern recognition, abstraction, algorithmic thinking, and generalization.