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Development of an integrated ability assessment instrument in reaction rate material Wan Zahara Zaitu Hania; Hari Sutrisno
Jurnal Kependidikan Penelitian Inovasi Pembelajaran Vol 6, No 1 (2022)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jk.v6i1.38390

Abstract

This research aimed to develop a valid and reliable integrated ability assessment instrument (IAAI) to measure the multiple representations and chemical literacy of senior high school students related to the reaction rates. The framework developed in this research was implemented based on a 4-D model (defining, designing, developing, and disseminating). The integrated assessment consisted of five items of essay questions. The preliminary version of the IAAI was initially piloted on reviews by experts, and the paper-pencil test was given to a group of students. The obtained data were analyzed using Item Response Theory (IRT). In addition, Generalized Partial Credit Model (GPCM) model was conducted to examine the parameter quality, which estimated the test items. The content validity, construct validity, and quality of the items suggest that the integrated assessment ability instrument has a high score in validity and reliability. The analysis results of the instrument trial data indicate that the integrated abilities of students are in the medium category.
Validation of Instrument Multiple Representations for Analyzing the Multiple Representations Capability of Students in Hydrocarbon Materials Antonia Fransiska Laka; Hari Sutrisno
Formatif: Jurnal Ilmiah Pendidikan MIPA Vol 11, No 2 (2021): Formatif: Jurnal Ilmiah Pendidikan MIPA
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/formatif.v11i2.5922

Abstract

This study aims to validate multiple representational instruments to analyze the ability of multiple representations of students on hydrocarbon material. This research uses a descriptive quantitative method with a non-experimental approach. This research uses the stratified purposive sampling method with 123 students who will respond to 35 items of multiple-choice questions covering macroscopic, microscopic, symbolic, and mathematical aspects. The data analysis technique used in the research is qualitative data analysis and quantitative data analysis. The Rasch model in this research analyzed instruments such as unidimensionality, item fit, test reliability, and difficulty level of the item. The data analysis shows that the average Aiken index is 0.961 on the substance aspect, 0.93 on the construction aspect, and 0.950 on the language aspect for the theoretical validation results. The highest Aiken index is 1.000, and the lowest is 0.896. Unidimensionality was 32.4%, the result of the item fit analysis obtained 1 item that was not fit, namely item number 29, and for the reliability test results: the person reliability value was 0.65, and the item reliability was 0.97. The analysis results of the difficulty level of the items on the instrument of measuring the cognitive abilities of students with multiple representations types were nine items in the easy category, 14 items in the medium category, and 11 items in the difficult category. Therefore, based on the resulting validity and reliability categories, the compiled test instrument can be used as a tool to measure students’ multiple representation abilities.
Pengujian Validitas dan Reliabilitas Instrumen Konsepsi Pembelajaran Kimia pada Masa Pandemi COVID-19 Menggunakan Pemodelan Rasch Alusti Cundo Manik; Hari Sutrisno; Ifan Rivaldo
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 3 (2022): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i3.1486

Abstract

This study aims to determine the validity and reliability of students' conception of chemistry learning instruments during the Covid-19 pandemic using Rasch modeling. The developed instrument consists of 24 items tested on 150 students from 3 selected schools classes X, XI, and XII MIPA State Senior High School in Tuban Regency for the 2021/2022 academic year. Two experts tested the content validity of the instrument while the construct validity and item reliability used the Rasch model with Winsteps Rasch software version 3.73. The analysis of the Rasch model used is in the form of item and person separation and reliability, correlation and point measure, Item fit, item rating scale functionality and unidimensionality. The results obtained indicate that the conceptual instrument for chemistry learning that has been developed is valid and reliable. However, the COLS4, COLS6, and COLS11 items are invalid and should be revised or removed
Development of A Learning Module Supported by Augmented Reality on Chemical Bonding Material to Improve Interest and Motivation of Students Learning for Senior High School Achmad Saiful Whatoni; Hari Sutrisno
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 4 (2022): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i4.2057

Abstract

The chemical bonding material is a concept that requires visualization. For students to comprehend chemical bonding concepts better, molecular forms must be depicted in the materials. Consequently, a learning module that can show 3D things made from molecular structures is necessary. This study aims to create and evaluate an augmented reality-based learning module on chemical bonds while examining the similarities and differences between students' interests and learning motivation before and after utilizing the augmented reality-based learning modules. The product is designed utilizing a 4-D model, and this study uses a research and development model. A quasi-experimental method and one group pretest and posttest design were used to evaluate the module involving 53 students chosen randomly. A sample of Hotelling's T2 test was used to analyze the student responses to the questionnaire about interest and motivation for learning. Descriptive quantitative analysis was used to analyze the data from the product quality assessment. The results showed that the developed augmented reality-supported chemical bonding learning module was very suited for chemistry learning and that there were variations between pre- and post-usage in student interest and motivation to study simultaneously or separately