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Validitas Modul Asam Basa Berbasis Inkuiri Terbimbing dilengkapi Soal (HOTS) untuk Melatih Keterampilan Berpikir Tingkat Tinggi Siswa Kelas XI SMA/MA Tika Yolanda; Iryani
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 3 No. 1 (2020): Ranah Research : Journal Of Multidisciplinary Research and Development (Novembe
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.636 KB) | DOI: 10.38035/rrj.v3i1.333

Abstract

Penelitian ini bertujuan untuk mengetahui kategori validitas modul berbasis inkuiri terbimbing pada materi asam basa yang dilengkapi dengan soal tipe HOTS untuk melatih kemampuan berpikir tingkat tinggi pada siswa kelas XI SMA/MA. Model pengembangan yang diterapkan dalam penelitian ini adalah model Plomp yang terdiri dari 3 tahapan yaitu penelitian awal, tahap pengembangan prototype, dan tahap penilaian. Data yang diperoleh kemudian dianalisis menggunakan skala V Aiken. Modul yang dikembangkan dinilai oleh 5 orang validator yang terdiri dari 3 orang guru kimia dan 2 orang guru kimia yang berpengalaman dan ahli di bidangnya. Berdasarkan penelitian yang telah dilakukan, diperoleh hasil bahwa modul yang dikembangkan memiliki kategori valid dengan skala V Aiken sebesar 0,89.
Pengembangan Pengembangan Instrumen Penilaian Penerapan Deep Learning dalam Pembelajaran Kimia: Analisis Model Rasch Yerimadesi; Iryani; Faizah Qurrata Aini; Fauzana Gazali; Nofri Yuhelman; Rivo Juita Sudirman; Diva Salsabila; Zaqiya Zahwa Alifa; Mentari Az Zahra
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14841

Abstract

This study aims to develop a valid and reliable assessment instrument for the application of deep learning in high school chemistry instruction. The development of the instrument is based on Wilson’s Four Building Blocks approach (2005), which includes construct maps, items, item scores, and measures. The study was conducted with 271 twelfth-grade students from three public high schools in West Sumatra, selected through purposive sampling. Data were collected using a student perception questionnaire designed based on the four pillars of deep learning implementation: graduate profile dimensions, learning principles, learning experiences, and learning frameworks. Content validity was analyzed using Aiken’s V, while empirical validity and reliability were tested using the Rasch Model. The results showed an average Aiken’s V value of 0.90, indicating excellent content validity. Rasch analysis yielded a respondent reliability of 0.97 and an item reliability of 0.95, with fit statistics within the ideal range and supporting construct unidimensionality. From the initial 116 items, the final instrument consists of 46 items that passed through a rigorous empirical selection process to ensure high measurement quality. Thus, this instrument is suitable for evaluating the level of deep learning implementation at the elementary to intermediate levels in high school chemistry education.