Jurnal Penelitian Pendidikan IPA (JPPIPA)
Vol 12 No 10 (2026)

Development of a Deep Learning Based Mathematics Module for Statistics Learning to Enhance Conceptual Understanding and Support SDG 4: Quality Education for Grade 10 Students

Erviani Fajri (Universitas Negeri Padang)
Jasrial (Universitas Negeri Padang)
Fetri Yeni J (Universitas Negeri Padang)
Mutiara Felicita Amsal (Universitas Negeri Padang)
Rayendra (Universitas Negeri Padang)



Article Info

Publish Date
15 Oct 2026

Abstract

Improving students’ conceptual understanding of mathematics remains a challenge in Indonesian secondary education, particularly in statistics. This study aimed to develop and evaluate a printed mathematics module that applies Indonesia’s pedagogical Deep Learning approach—mindful, meaningful, and joyful learning—to statistics for Grade 10 students. The study used Research and Development with the Four-D model: Define, Design, Develop, and Disseminate. The module was reviewed by material, media, and language experts and then tried out with six students and implemented with one mathematics teacher and 30 Grade 10 students at SMAN 2 Koto Baru. Data were collected using validation and practicality questionnaires, observations, interviews, and pretest–posttest tests. Expert assessment used a five-point scale and produced mean scores of 4.50 for content, 4.60 for media, and 4.25 for language, all categorized as very valid. Teacher and student practicality means were 4.76 and 4.71, respectively, both categorized as very practical. The mean pretest and posttest scores were 56.40 and 82.75, producing an N-Gain of 0.61 (moderate). The module therefore demonstrated high content and media validity, high practicality, and moderate learning improvement. Its contribution lies in embedding the three Deep Learning principles across explanation, contextual activities, reflection, practice, and assessment.

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Journal Info

Abbrev

jppipa

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

Description

Science Educational Research Journal is international open access, published by Science Master Program of Science Education Graduate Program University of Mataram, contains scientific articles both in the form of research results and literature review that includes science, technology and teaching ...