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All Journal Indonesian Journal of Primary Education PEDADIDAKTIKA: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar Indonesian Journal of Primary Education
Ade Yulianto
UPI Kampus Tasikmalaya
Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Instrumen Penilaian Kinerja pada Pembelajaran Tematik Berbasis Outdoor Learning di Sekolah Dasar Ade Yulianto; Hodidjah Hodidjah; Ghullam Hamdu
PEDADIDAKTIKA: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar Vol 5, No 2 (2018): PEDADIDAKTIKA
Publisher : Program Studi PGSD UPI Kampus Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.351 KB) | DOI: 10.17509/pedadidaktika.v5i2.7203

Abstract

Penelitian ini merupakan penelitian pengembangan instrumen penilaian kinerja pada pembelajaran tematik berbasis outdoor learning disekolah dasar. Penelitian ini bertujuan untuk 1) mengembangkan instrumen penilaian berupa rubrik penilaian kinerja pada pembelajaran tematik berbasis outdoor learning di sekolah dasar sesuai dengan prosedur penialian pada kurikulum 2013; 2) memvalidasi instrumen penilaian yang dilakukan melalui validasi ahli; 3) menguji coba rubrik penilian kinerja pada pembelajaran tematik berbasis outdoor learning di sekolah dasar. Tahapan penelitan ini menggunakan metode Design Based Research. Pengembangan metode ini terdiri dari 4 tahap yaitu 1) identifikasi dan analisis masalah oleh peneliti dan praktisi secara kolaboratif; 2) mengembangkan solusi yang didasarkan pada patokan teori, design principle yang ada dan inovasi teknologi; 3) melakukan proses berulang untuk menguji dan memperbaiki solusi secara praktis; 4) refleksi untuk menghasilkan design principle serta meningkatkan implementasi dari solusi secara praktis. Hasil pada penelitian ini berupa 1) instrumen penialian berupa rubrik penilaian kinerja pada pembelajaran tematik berbasis outdoor learning di sekolah dasar; 3) rubrik penialian kinerja pada pembelajaran tematik berbasis outdoor learning di sekolah dasar terdiri dari rubrik penilaian kinerja untuk individu dan rubrik penilaian kinerja untuk kelompok untuk 2 pembelajaran; 2) instrumen penilaian (rubrik penilaian kinerja) ini, berdasatrkan validasi oleh para ahli dinyatakan layak digunakan sebagai bentuk penilaian; 3) berdasarkan uji coba tahap satu dan tahap dua, rubrik penialian kinerja ini memiliki tingkat kesamaan diatas 80% pada penskoran yang dilakukan oleh para observer. Hasil yang diperoleh dari keseluruhan dalam penelitian pengembangan ini bahwa instrumen penialian kinerja berupa rubrik dikatakan valid dan reliabel (ajeg) sebagai bentuk penilaian.Kata kunci : penilaian kinerja, rubrik, outdoor learning.
Disclosure of Difficulty Distribution of HOTS-Based Test Questions through Rasch Modeling Ade Yulianto; Ari Widodo
Indonesian Journal of Primary Education Vol 4, No 2 (2020): Indonesian Journal of Primary Education: December 2020
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijpe.v4i2.29318

Abstract

Many researchers or teachers need more and more complete information about the evaluation of the implementation of learning or the ability measurement tools used to find out how much learning outcomes are shown by their students. In this article, it is shown how to analyze questions based on the level of difficulty and suitability of test item items; especially on HOTS (Higher-Order Thinking Skill) based test questions which were developed based on a cognitive hierarchy adopted from Bloom's taxonomy (C4, C5, C6). The analysis process was carried out based on Sumintono's (2015) explanation of the combination of standard deviation (SD) values and logit average values (Mean). Then perform the criteria for the outfit mean square (MNSQ) value, the Z-standard outfit value (ZSTD) and the point measure correlation value (Pt. Measure Corr) (Boone et al., 2014). The analysis technique was carried out through Rasch modeling assisted by the Winsteps 3.75 application. As for the grouping of difficulty levels according to Sumintono (2015), namely 1) difficult question category (logit value is greater + 1SD); 2) difficult question category (value 0.0 logit +1 SD); 3) easy question category (value 0.0 logit -1 SD); and 4) the category of questions is very easy (value less than -SD), as well as for the criteria used to measure the suitability of item items using, 1) the value of 0.5 MNSQ 1.5; 2) value -2.0 ZSTD +2.0; and 3) the value of 0.4 PT-Measure Corr 0.85, (Boone et al., 2014). The results of the analysis show that there are variations in the level of difficulty and suitability of HOTS-based test items. The item analyzed had an acceptable level of suitability and was feasible to maintain because all items met these three criteria. Thus, the collection of HOTS-based test questions is in a good category because it can identify students' various abilities in higher-order thinking with varying levels of difficulty.
Disclosure of Difficulty Distribution of HOTS-Based Test Questions through Rasch Modeling Ade Yulianto; Ari Widodo
Indonesian Journal of Primary Education Vol 4, No 2 (2020): Indonesian Journal of Primary Education: December 2020
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijpe.v4i2.29318

Abstract

Many researchers or teachers need more and more complete information about the evaluation of the implementation of learning or the ability measurement tools used to find out how much learning outcomes are shown by their students. In this article, it is shown how to analyze questions based on the level of difficulty and suitability of test item items; especially on HOTS (Higher-Order Thinking Skill) based test questions which were developed based on a cognitive hierarchy adopted from Bloom's taxonomy (C4, C5, C6). The analysis process was carried out based on Sumintono's (2015) explanation of the combination of standard deviation (SD) values and logit average values (Mean). Then perform the criteria for the outfit mean square (MNSQ) value, the Z-standard outfit value (ZSTD) and the point measure correlation value (Pt. Measure Corr) (Boone et al., 2014). The analysis technique was carried out through Rasch modeling assisted by the Winsteps 3.75 application. As for the grouping of difficulty levels according to Sumintono (2015), namely 1) difficult question category (logit value is greater + 1SD); 2) difficult question category (value 0.0 logit +1 SD); 3) easy question category (value 0.0 logit -1 SD); and 4) the category of questions is very easy (value less than -SD), as well as for the criteria used to measure the suitability of item items using, 1) the value of 0.5 MNSQ 1.5; 2) value -2.0 ZSTD +2.0; and 3) the value of 0.4 PT-Measure Corr 0.85, (Boone et al., 2014). The results of the analysis show that there are variations in the level of difficulty and suitability of HOTS-based test items. The item analyzed had an acceptable level of suitability and was feasible to maintain because all items met these three criteria. Thus, the collection of HOTS-based test questions is in a good category because it can identify students' various abilities in higher-order thinking with varying levels of difficulty.
Co-Authors Ari Widodo Ghullam Hamdu Hodidjah Hodidjah