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MEASURING TEACHERS’ PEDAGOGICAL CONTENT KNOWLEDGE USING MANY-FACET RASCH MODEL Maryati Maryati; Zuhdan Kun Prasetyo; Insih Wilujeng; Bambang Sumintono
Jurnal Cakrawala Pendidikan CAKRAWALA PENDIDIKAN, VOL. 38, NO. 3, OCTOBER 2019
Publisher : LPMPP Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (99.592 KB) | DOI: 10.21831/cp.v38i3.26598

Abstract

In the context of teacher professional development and teacher certification, an objective measurement of teachers’ Pedagogical Content Knowledge (PCK) is requried. This research is a case study to measure teachers’ PCK within prospective middle school science teachers participating in an Indonesian teacher professional development program. The study used quantitative approach which involved multirater assessment analysed by Many-Facet Rasch Model (MFRM) to assess teachers’ PCK in teaching a specific topic, i.e. “The Particulate Nature of Matter” (PNM). Researchers developed a rubric for items to measure teachers’ enactment PCK for teaching that specific topic. The MFRM analysis of the data revealed item reliability, item validity, separation and unidimensionality fall within good category. The findings show prospective teachers need to improve their PCK specifically in terms of “knowledge of instructional strategies and representations for teaching science” dimension. However, for knowledge of science curriculum and knowledge of students’ understanding in science dimension, the findings show that the participants were competent.
STEM Effect In Problem Solving: A Meta Analysis Arina Novia Dewi; Maryati Maryati; Sabar Nurohman; Suyanta Suyanta; Sri Rejeki Dwi Astuti
Jurnal Penelitian Pendidikan IPA Vol 9 No 7 (2023): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i7.4044

Abstract

The STEM approach to learning helps prepare students with the skills needed for the future. Concrete and real-world problems can be solved by training students in STEM education. This research aims to analyze the influence of STEM on problem-solving abilities in education. The research method used is meta-analysis. The research process begins with determining the topic, data criteria, article search, data classification, analysis, and conclusion. The topic used is STEM and problem-solving, and the data criteria used are effect sizes. Articles used in the analysis are published in Scopus-indexed journals, ERIC, DOAJ, and SINTA-accredited journals. The articles analyzed are from the years 2018-2023. The result of the study shows that the use of STEM has a significant impact, with an average effect size of 1,709. STEM education has a very large influence on problem-solving abilitie.