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Pendampingan Desain Perangkat Pembelajaran Deep Learning di MA NW Sukamulia Fatmawati, Baiq; Muliawan, Wawan; Asri, Indra Himayatul
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v11i1.4204

Abstract

Program Pengabdian ini bertujuan memberikan pendampingan desain pembelajaran mendalam (deep learning) bagi guru-guru di MA NW Sukamulia. Masalah utama yang dihadapi mitra adalah kurangnya pemahaman praktis tentang penerapan deep learning dalam pembelajaran. Program ini menggunakan pendekatan Participatory Rural Appraisal (PRA), yang meliputi sosialisasi teori deep learning dan pendampingan dalam penyusunan perangkat pembelajaran berbasis deep learning sesuai dengan mata pelajaran yang diampu. Hasil tes pengetahuan yang dilakukan melalui platform Quizizz menunjukkan bahwa mayoritas guru memahami konsep dasar deep learning, terutama dalam kategori Kerangka Pembelajaran Mendalam (94,2% jawaban benar) dan Prinsip Pembelajaran Mendalam (87,3% jawaban benar). Namun, terdapat tantangan pada kategori Pengalaman Belajar Mendalam, dengan 21,5% jawaban salah, yang mengindikasikan kesulitan dalam penerapan konsep tersebut di kelas. Kontribusi pengabdian ini adalah untuk memperkuat pemahaman praktis guru dalam menerapkan deep learning, dengan fokus pada peningkatan keterampilan dalam merancang pengalaman belajar mendalam. Diharapkan, pendampingan ini dapat meningkatkan kualitas pembelajaran dan mempersiapkan siswa untuk tantangan pendidikan abad ke-21, dengan menekankan pemahaman yang mendalam, berpikir kritis, dan keterampilan pemecahan masalah. Deep Learning Device Design Assistance at MA NW Sukamulia Abstract This Community Service Program aims to provide deep learning design assistance to teachers at MA NW Sukamulia. The main problem faced by partners is a lack of practical understanding of the application of deep learning in teaching. This program uses a Participatory Rural Appraisal (PRA) approach, which includes socialization of deep learning theory and assistance in developing deep learning-based learning tools according to the subjects taught. The results of the knowledge test conducted through the Quizizz platform indicate that the majority of teachers understand the basic concepts of deep learning, especially in the categories of Deep Learning Framework (94.2% correct answers) and Deep Learning Principles (87.3% correct answers). However, there are challenges in the Deep Learning Experience category, with 21.5% incorrect answers, indicating difficulties in implementing these concepts in the classroom. The contribution of this community service is to strengthen teachers' practical understanding in implementing deep learning, with a focus on improving skills in designing deep learning experiences. It is hoped that this assistance will improve the quality of learning and prepare students for the challenges of 21st-century education, by emphasizing deep understanding, critical thinking, and problem-solving skills.
Enhancing Students’ Creative Thinking Through Creative Problem Solving-Based Learning: Design and Implementation Baiq Fatmawati; Aulia Ida Zulfitri
Journal of Educational Studies Vol. 4 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/jes.v4i1.2440

Abstract

This study aimed to develop a Creative Problem Solving-based teaching module and to evaluate its effectiveness in enhancing students’ creative thinking on the topic of viruses in senior high school biology. The study employed a development research design using the 4D model consisting of Define, Design, Develop, and Disseminate stages, followed by a quasi-experimental evaluation in classroom implementation. The participants were tenth-grade students of Madrasah Aliyah Muallimin NWDI Pancor, Indonesia. The experimental group consisted of 33 students, while the control group consisted of 37 students. Data were collected through expert validation sheets, questionnaires, and pretest-posttest assessments. The data were analyzed using descriptive statistics, independent samples t-test, normalized gain analysis, and Cohen’s d effect size analysis. The findings showed that the experimental group achieved greater improvement than the control group. The posttest results indicated a significant difference between the two groups (t = -5.11, p < 0.001), with a large effect size (Cohen’s d = 1.24). These findings suggest that the Creative Problem Solving-based teaching module has promising potential to support students’ creative thinking in biology learning. However, the results should be interpreted within the context of the study setting and research design