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A Bibliometric Analysis of Problem-Solving Skill and STEM Integration in Education (Scopus Database 2004-2024) Reny Afifah; Heru Kuswanto; Ayu Mar’ati BN
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.9432

Abstract

Problem solving and STEM integration in education are important in many countries around the world. Problem solving and STEM integration in education can also be applied at various levels. This study aims to describe the development trends of research in the topic, as well as to identify the most relevant and widely cited countries, sources and topics in the related literature. Previous studies have shown that problem solving and STEM integration are mostly applied in secondary schools. In this study, we extracted from the Scopus database to analyze and evaluate the results of scientific publications related to problem solving and STEM integration in education during 2004-2024. The number of publication data that has been filtered is 106 publications, all of which are taken from the Scopus database. The results of the quantitative analysis show that research on problem solving and STEM integration in education has grown rapidly in the last 5 years. The most relevant and most cited country is the USA. Meanwhile, the most relevant source is CBE Life Sciences Education. The research topics are also quite diverse, focusing on several issues: engineering, education, humanism, professional aspect, etc. This research has limitations, because the publication data we analyzed was only data from Scopus and the analysis we used used VOSviewer and biblioshiny.
Pengembangan Tes Diagnostik Kognitif Berbasis Distraktor (DB-CDT) pada Materi Termodinamika untuk Mendeteksi Keterampilan Literasi Data Siswa SMA Supahar; Ayu Mar’ati Barokatun Ni’mah; Reny Afifah; Putri Edryna Larasati
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.13899

Abstract

This study addresses the lack of specialized diagnostic instruments capable of pinpointing specific cognitive failures in physics data literacy, particularly within Thermodynamics. To bridge this gap, a Distractor-Based Cognitive Diagnostic Test (DB-CDT) was developed and validated for eleventh-grade high school students in Yogyakarta. Utilizing a Research and Development (R&D) approach with the ADDIE framework, the instrument was built upon the DINA (Deterministic Input, Noisy-AND Gate) cognitive diagnostic model. Expert validation by three specialists yielded an excellent average V-Aiken value of 1.00. Empirical testing on a sample of 540 students across high, medium, and low-tier schools confirmed high psychometric quality: an average INFIT MNSQ of 1.00 (within the 0.77–1.30 range), item difficulty between -2 and +2, and high reliability (0.92). DB-CDT distinguishes itself by using a Q-Matrix to link specific distractors to cognitive errors, such as failures in sign conversion or process interpretation. Analysis of student profiles revealed that the experimental group—utilizing targeted diagnostic feedback—achieved superior mastery in analyzing (96.6%) and interpreting data (90%), whereas the control group, receiving conventional assessment, struggled significantly with inference and synthesis. Theoretically, this research advances the application of Cognitive Diagnostic Models in physics education. Practically, it provides educators with a sensitive tool to profile individual student weaknesses, allowing for more focused instructional interventions in complex scientific topics.