Analysis of Deep Learning to Improve the Competency of Educators in Managing Inclusive Classrooms in Gorontalo Regency

DOI

10.2991/978-2-38476-489-1_11How to use a DOI?

Keywords

Culture; Character; Literacy; Elementary Teacher Education Introduction

Abstract

The effective deep learning approach is still at the conceptual level to improve educators’ competencies, and its use is not yet fully implemented in managing inclusive classrooms. Therefore, in overcoming learning problems, it can improve educators’ abilities in managing inclusive classrooms through the deep learning model. The urgency of this research is to analyze the development of a deep learning model to improve educators’ competency in managing inclusive classrooms, which is very important in improving the quality of education in Gorontalo Regency, especially in facing the challenges of inclusive education. The purpose of this study is to describe an analysis of effective deep learning and analyze the factors that influence educators’ competence in managing inclusive classrooms in Gorontalo Regency. The research method used is research and development (R&D) using the First Stage of Analysis, through Observation Data, Interviews, and Questionnaires/tests. Research Results: 1) Initial Data: through data on educator characteristics and student potential; 2) Research Process Data: shows that: a) deep learning can improve educators’ competency in managing inclusive classrooms by 85% b) Educators who participated in deep learning training showed a 90% improvement in their ability to manage inclusive classrooms c) Students who learned using the deep learning approach showed an 80% improvement in learning outcomes; 3) Final Data; the research shows that the developed deep learning is effective in improving educators’ competency in managing inclusive classrooms in Gorontalo Regency.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Novianty Djafri
AU  - Arifin Arifin
AU  - Isnanto Isnanto
AU  - Arwildayanto Arwildayanto
AU  - Syamsu Qamar Badu
AU  - Nina Lamatenggo
AU  - Nadjhan Saleh
AU  - Prastiawati Ismail
AU  - Afriyanti Laudji
AU  - Miranda Daur
PY  - 2025
DA  - 2025/11/24
TI  - Analysis of Deep Learning to Improve the Competency of Educators in Managing Inclusive Classrooms in Gorontalo Regency
BT  - Proceedings of the International Conference on Educational Science and Teacher Education (ICESTE 2025)
PB  - Atlantis Press
SP  - 123
EP  - 136
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-489-1_11
DO  - 10.2991/978-2-38476-489-1_11
ID  - Djafri2025
ER  -