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Pendampingan Pengembangan Modul Ajar Matematika Berbasis Deep Learning untuk Meningkatkan Kemampuan Berpikir Kreatif Siswa SMPN 1 Narmada Pujilestari, Pujilestari; Muzaki, Ahmad; Sukarma, I Ketut; Sabrun, Sabrun; In, Hurul; Anggraini, Astiadika; Lestari, Putu Eka Perthiwi
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 4 (2025): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/cv1dwk28

Abstract

Dalam menghadapi tuntutan kompetensi abad ke-21, terutama kemampuan berpikir kreatif, proyek pengabdian ini bertujuan mengembangkan dan mendampingi penerapan modul pembelajaran matematika berbasis prinsip deep learning bagi guru di SMPN 1 Narmada. Intervensi dilakukan melalui dua fase: pelatihan tatap muka (in-service) dan pendampingan jarak jauh (on-service). Pada fase in-service, 60 guru diperkenalkan pada teori dan praktik deep learning serta strategi pengembangan berpikir kreatif, sekaligus diarahkan merancang modul ajar matematika. Pada fase on-service, guru mendapatkan mentoring digital saat menyempurnakan modul mereka. Berbeda dari pendekatan pelatihan guru konvensional, kegiatan ini menggabungkan fase pelatihan tatap muka dan pendampingan daring berbasis prinsip deep learning yang kontekstual. Meskipun berbagai pelatihan guru telah dilakukan sebelumnya, belum tersedia model pengabdian yang secara terpadu mengombinasikan deep learning, kreativitas matematis, dan skema pendampingan berkelanjutan, sehingga pendekatan ini menawarkan kontribusi baru dalam penguatan kapasitas guru. Hasil menunjukkan bahwa 85% guru berhasil mengintegrasikan prinsip deep learning dan indikator berpikir kreatif (tugas multi-solusi, konteks budaya, refleksi siswa) dalam modul pembelajaran. Temuan ini menegaskan bahwa dukungan berkelanjutan, desain kontekstual, dan bimbingan bertahap sangat penting dalam mewujudkan inovasi pedagogis di sekolah. Proyek ini berkontribusi pada pengabdian masyarakat dengan memberdayakan kapasitas guru dalam merancang pembelajaran kreatif berbasis deep learning. Untuk pengembangan selanjutnya, direkomendasikan evaluasi dampak langsung terhadap siswa serta perluasan model ke konteks sekolah lain.Kata Kunci: Pengabdian Inovatif; Deep Learning Pedagogi; Berpikir Kreatif; Desain Instruksional Matematika; Pengembangan Kapasitas Guru. Assistance in Developing Deep Learning–Based Mathematics Teaching Modules to Enhance the Creative Thinking Skills of Students at SMPN 1 Narmada Abstract In response to the demands of 21st-century competencies, particularly creative thinking, this community service project aimed to develop and mentor the implementation of mathematics instructional modules based on deep learning principles for teachers at SMPN 1 Narmada. The intervention was carried out in two phases: face-to-face training (in-service) and remote mentoring (on-service). During the in-service phase, 60 teachers were introduced to the theory and practice of deep learning and creative thinking, and were guided in designing mathematics learning modules. In the on-service phase, teachers received digital mentoring as they refined their modules. Distinct from conventional teacher-training approaches, this program integrates face-to-face instruction with online mentoring grounded in contextual deep-learning principles. Although various professional development initiatives have been implemented in Indonesia, there remains a lack of community-service models that simultaneously combine deep-learning pedagogy, mathematical creativity development, and sustained mentoring—representing a key gap that this project uniquely addresses. The results indicate that 85% of participants successfully integrated deep-learning principles and creative-thinking indicators (multiple-solution tasks, cultural contextualization, student reflection) into their modules. These findings highlight the importance of continuous support, contextualized design, and scaffolded guidance in enabling pedagogical innovation. This project contributes to community-service scholarship by empowering teachers to design creative mathematics learning grounded in deep-learning practices. Future work should include direct evaluation of student outcomes and broader implementation across diverse school contexts.
Mathematical Communication of Vocational High School Students in Solving Papuan Ethnomathematics-Based Problems Tyas, Dewi Kristika Findia Ning; Ruamba, Marthinus Y.; Agustin, Ririn Dwi; Pujilestari, Pujilestari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 1: January 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i1.17783

Abstract

This study examines how Indonesian vocational high school (SMK) students communicate mathematically while solving systems of three-variable linear equations (SPLTV) embedded in Papuan ethnomathematical contexts. Using a qualitative descriptive design, the study involved ten Grade 10 students representing ten vocational departments. Data were collected through students’ written solutions to ethnomathematics-based SPLTV tasks (e.g., contexts involving culturally familiar objects such as noken and local economic practices) and follow-up semi-structured interviews intended to clarify students’ reasoning, procedural choices, and interpretation of results. Analysis employed a rubric-guided coding scheme comprising three observable indicators of mathematical communication: (1) mathematical expression/modeling (translating contextual information into variables and SPLTV equations), (2) identifying relevant information and coherently explaining solution procedures, and (3) drawing contextual conclusions that interpret solutions in relation to the problem situation. To ensure consistent reporting, each indicator was evaluated by evidence source written work (W), interview evidence (I), or both (W+I) allowing the study to distinguish between students who understood an element but did not document it in writing. Findings indicate that all participants were able to construct an SPLTV model from the cultural context, and most were able to explain elimination–substitution procedures, although several omitted key communication components (e.g., “given/asked” statements or an explicit concluding sentence) in their written work. Overall, eight of ten students produced a valid contextual conclusion when evidence from written work and/or interviews was considered, whereas two students struggled with core procedural steps and therefore could not reach a meaningful conclusion. These results suggest that Papuan cultural contexts can support meaning-making and initial modeling, but explicit support for procedural fluency and written communication norms remains necessary to produce complete, accountable solutions.