Journal of Deep Learning
Vol. 2, No. 1, June 2026

Implementation of Deep Learning Strategies for Developing Empathy and Collaboration Students

Retno Megawati (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Harun Joko Prayitano (Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta)
Fajar Riza Ul Haq (Faculty of Social Sciences, Universitas Muhammadiyah Sukabumi
Deputy Minister of Primary and Secondary Education, Ministry of Primary and Secondary Education of the Republic of Indonesia)

Oman Suryaman (Faculty of Teacher Training and Education, Universitas Muhamamdiyah Kuningan)



Article Info

Publish Date
08 Dec 2025

Abstract

The aims of this study is to explore how the implementation of deep learning strategies to foster empathy and collaboration among second-grade elementary school students. Anchored in Vygotsky's Sociocultural Theory and the Social Emotional Learning (SEL) framework, the research focuses on how project-based and inquiry-based learning approaches contribute to the development of students’ social-emotional skills. The primary objective is to examine how these pedagogical strategies create meaningful learning experiences that nurture students’ ability to understand others’ perspectives and work cooperatively with peers. The study also explores the teacher’s role in facilitating deep learning through guided interaction within the Zone of Proximal Development (ZPD), where support is tailored to students’ developmental readiness. Data were collected through classroom observations, semi-structured interviews, and analysis of student-created learning artifacts. Thematic analysis revealed that deep learning strategies provide authentic contexts for social interaction, enabling students to engage in perspective-taking and constructive collaboration. As a result, students exhibited notable growth in their ability to empathize and collaborate, indicating that well-structured, emotionally responsive instruction can enhance both cognitive and interpersonal development in early primary education.

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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 ...