School Management in Utilizing Deep Learning Methods and Supporting Technology-Based Learning in the Classroom

Abstract

This study explores the critical role of school management in adopting deep learning methods and supporting technology-based learning in classrooms. Rapid advancements in artificial intelligence have significantly impacted educational efficiency and quality, yet challenges such as infrastructure limitations and the need for continuous teacher training hinder widespread implementation . The qualitative research approach was employed, involving interviews and document analysis with seven teachers and the principal of a high school in Depok, conducted from January to March 2023. Data were analyzed through thematic analysis with triangulation to ensure validity. The findings highlight key factors necessary for successful integration, including adequate technological infrastructure, high-quality data, teacher capacity building, supportive policies, strong leadership, and fostering a collaborative digital culture. The study emphasizes that strategic resource management and ongoing evaluation are vital to overcoming challenges and ensuring the sustainability of deep learning initiatives. Effective school management must align policies, resources, and stakeholder collaboration to enhance pedagogical skills and create an innovative, inclusive learning environment. Recommendations include increasing infrastructural support, conducting regular teacher training, developing clear policy frameworks, and maintaining continuous monitoring and evaluation to optimize technology adoption. Overall, the research underscores that strategic management is essential to harness the full potential of deep learning, fostering educational innovations that can improve student motivation, understanding, and overall learning outcomes. Schools that prioritize these components will be better equipped to face future educational challenges and promote sustainable digital transformation in education