Journal of Deep Learning
Vol. 1, No. 2, December 2025

Designing Mathematics Teaching through Deep Learning Pedagogy: Toward Meaningful, Mindful, and Joyful Learning

Torang Siregar (Mathematics Education, UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan)
Ahmad Fauzan (Mathematics Education, Universitas Negeri Padang)
Yerizon Yerizon (Mathematics Education, Universitas Negeri Padang)
Syafriandi Syafriandi (Mathematics Education, Universitas Negeri Padang)



Article Info

Publish Date
31 Oct 2025

Abstract

Mathematics education in the 21st century requires an approach that focuses not only on procedural mastery but also on deep conceptual understanding, critical thinking skills, and the ability to transfer knowledge across various life contexts. This article discusses the design of mathematics learning based on a deep learning approach not in the context of artificial intelligence, but as a pedagogical approach integrating three core principles: meaningful, mindful, and joyful. Meaningful learning is built through contextual activities and open-ended problems that connect mathematical concepts to real-world situations. Reflective and process-aware learning is facilitated through discussion, metacognitive reflection, and evaluation. Meanwhile, a joyful learning environment is created through active participation, open exploration, and recognition of diverse student thinking styles. The theoretical framework includes constructivism, transfer theory, metacognition, and process-based assessment. The implementation of this approach requires a transformation of the teacher's role into a facilitator, a flexible and meaning-oriented curriculum, and a supportive, collaborative learning environment. It is concluded that the deep learning approach, through the principles of meaningful, mindful, and joyful learning, can enhance student engagement, deepen understanding, and foster a positive attitude toward mathematics.

Copyrights © 2025






Journal Info

Abbrev

jdl

Publisher

Subject

Education Languange, Linguistic, Communication & Media Social Sciences

Description

The Journal of Deep Learning is dedicated to advancing research on deep learning as a methodological approach in education and AI-based technological development. We emphasize deep learning integrated with artificial intelligent (AI) that fosters meaningful, joyful, and mindful education—rooted in ...