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Revealing Students’ Computational Thinking Error Patterns in Solving Two-Variable Linear Inequality Systems Israil Sitepu; Delvi Kristiani Jaluhu; Sinta Dameria Simanjuntak; Ribka Kariani br Sembiring
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 12, No. 1, May 2026
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v12i1.30386

Abstract

This study aims to identify and describe patterns of students’ computational thinking errors in solving systems of linear inequalities in two variables. Specifically, it examines errors occurring at each stage of computational thinking, such as problem decomposition, pattern recognition, abstraction, and algorithm construction, as well as the underlying factors contributing to these errors. A qualitative descriptive approach was employed. The participants consisted of 36 tenth-grade students. Data were collected through written tests, observation, and semi-structured interviews to explore students’ cognitive processes in depth. The data were analyzed through data reduction, data display, and conclusion drawing. The findings indicate that students experienced errors at all stages of computational thinking. Students encountered difficulties identifying relevant information during problem decomposition, recognizing conceptual relationships during pattern recognition, transforming problems into appropriate mathematical representations during abstraction, and constructing systematic solution procedures during algorithm construction. These errors were primarily attributed to insufficient conceptual understanding, difficulties in interpreting problem statements, and limitations in formulating effective problem-solution strategies. These findings provide valuable insights into students’ learning difficulties and may serve as a foundation for designing more effective instructional strategies to enhance students’ computational thinking skills.
Integrasi Realistic Mathematics Education, Culturally Responsive Teaching, dan Artificial Intelligence untuk Keterampilan 4C Abad 21: Sebuah Tinjauan Sistematis Sondang Noverica; Sinta Dameria Simanjuntak
Indiktika : Jurnal Inovasi Pendidikan Matematika Vol. 8 No. 2 (2026): Indiktika : Jurnal Inovasi Pendidikan Matematika
Publisher : FKIP Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/indiktika.v8i2.21423

Abstract

This study aims to systematically review the literature on Realistic Mathematics Education (RME), Culturally Responsive Teaching (CRT), Artificial Intelligence (AI), and 21st-century skills (4C) to identify and bridge research gaps in mathematics education. The research employed a Systematic Literature Review (SLR) combined with bibliometric analysis using the PRISMA protocol and supported by VOSviewer and Biblioshiny software. From the Scopus database, 79 articles met the inclusion criteria and were analyzed based on publication trends, author collaboration networks, citation structures, and qualitative synthesis. The findings indicate a significant increase in research on RME and AI over the past decade, while the integration of CRT remains limited despite its philosophical alignment with RME. This study identifies five major research gaps—namely theoretical, empirical, methodological, population, and evidential. The integration of RME, CRT, and AI has strong potential to form an adaptive, contextual, and culturally responsive mathematics learning model that strengthens 21st-century competencies. These findings provide new directions for developing inclusive and technology-based mathematics education.
Profiling 4C Skills Through PISA-Based Mathematics Tasks: A Contextual Analysis of Junior High School Students Sinta Dameria Simanjuntak; Sahat Saragih; Israil Sitepu; Sondang Noverica
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 13 No. 2: April 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i2.15294

Abstract

The 4C skills—Critical Thinking, Creativity, Communication, and Collaboration—are essential for preparing students to navigate 21st-century challenges. However, results from PISA 2022 and Indonesia's Education Report 2024 reveal that foundational competencies remain low, particularly in rural contexts. This study aims to explore the manifestation of 4C skills among ninth-grade students at SMP Budhi Dharma Balige, North Sumatra, through performance on PISA-based mathematics questions. Employing a qualitative descriptive design, data were collected from 31 students using two PISA tasks and an unstructured teacher interview. Responses were assessed using a rubric-informed framework, and analysis followed the Miles and Huberman model. Results show that while students demonstrate strong communication and procedural reasoning (96.77% correct in Q1 Part 2), performance in critical thinking and argumentation remains limited (only 35% success in Q2 Part 3). The main barrier is the lack of integrated instructional strategies that promote higher-order and collaborative learning. The study concludes that while 4C skills are beginning to develop, their progression is fragmented and requires targeted pedagogical reforms. Recommendations include the use of project-based learning, culturally responsive instruction, and formative assessments to ensure equitable 4C development in under-resourced schools.
Pelatihan SPSS pada Guru-Guru di Sekolah Dasar Negeri 173529 Tampahan Sinta Dameria Simanjuntak; Ari Usman
Jurnal Pemberdayaan Masyarakat Vol 5 No 2 (2020): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v5i2.3652

Abstract

The teachers at SD 173529 are teachers with the status of Civil Servants (PNS). Teachers with the status of civil servants must write scientific papers when going up to a position or class. The problem is writing scientific papers and data processing. The solution offered to overcome this problem is SPSS training include processing research data and how to read the SPSS output to be narrated in the research results. The method used consisted of group discussions, deliberations, in-house training and workshops. The results from this activity are the teacher gives a positive response to the training activities include 100% of teachers liked the training material, the modules used, the way of learning, the way the instructor taught. The other results are the teachers stated that the training material is new (71.42%), the modules used are new (85.71%), the learning method implemented is new (85.71%), the method of teaching is a new way of teaching (85,71%), the teacher expressed interest in using SPSS in processing research data and in training activities (100%).
Profiling Prospective Mathematics Teachers’ 4C Skills through Case-Based Assessment in a Statistics Methods Course Israil Sitepu; Sinta Dameria Simanjuntak; Ribka Kariani Sembiring
Riemann: Research of Mathematics and Mathematics Education Vol. 8 No. 2 (2026): EDISI AGUSTUS
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/riemann.v8i2.216

Abstract

The integration of 21st-century competencies, particularly critical thinking, communication, creativity, and collaborative awareness, has become an important focus in higher education, including statistics education for prospective mathematics teachers. However, assessment practices in statistics courses continue to emphasize procedural calculations rather than evaluating students’ reasoning, interpretation, and communication of statistical findings in authentic contexts. Furthermore, few studies have explored students’ competency profiles through case-based assessment in statistics education using an analytic rubric. This study aimed to explore students’ competency profiles across the four 4C dimensions through a case-based assessment in the Statistics Methods course. A descriptive exploratory approach was employed involving 24 third-semester undergraduate students enrolled in the Mathematics Education Program at Universitas Katolik Santo Thomas. The assessment consisted of four contextual case-based questions, each designed to represent one of the four dimensions: critical thinking, communication, creativity, and collaborative awareness. Students’ written responses were analyzed using a four-level analytic rubric developed as a preliminary assessment instrument. The findings indicate that communication (M = 3.63) and critical thinking (M = 3.45) demonstrated the highest performance, whereas creativity (M = 2.95) and collaborative awareness (M = 2.95) showed comparatively lower performance. Overall, the assessment provided diagnostic information for identifying students’ strengths and areas requiring further instructional support across the four competency dimensions. These findings highlight the value of case-based assessment as an approach for mapping students’ competency profiles and informing the development of more balanced assessment practices in statistics education for prospective mathematics teachers.