The Role of Deep Learning in Promoting Collaborative Learning and Critical Thinking in Future Educational Systems

Abstract

Advances in artificial intelligence (AI) technology have brought significant changes in the education system, especially in collaborative learning and critical thinking. One of the rapidly growing AI approaches is deep learning, which has great potential in improving the effectiveness of the teaching and learning process. Deep learning-based systems allow for personalized learning, real-time data analysis, and the provision of more adaptive feedback for learners. In the context of collaborative learning, this technology can accelerate academic interaction, increase student involvement in group discussions, and provide data-driven recommendations to optimize cooperation between students. This study aims to analyze the role of deep learning in encouraging collaborative learning and the development of critical thinking skills in the future education system. The method used in this study is a literature study with content analysis techniques against various relevant previous studies. Data were collected from scientific journals, conference proceedings, and research reports related to the use of deep learning in education. The results of the study show that the application of deep learning in collaborative learning can increase the effectiveness of cooperation between students by adjusting the material based on individual abilities. In addition, this technology also plays a role in the development of critical thinking by providing data-driven challenges and analytical feedback on students' thinking patterns. Despite having many benefits, the implementation of deep learning still faces various challenges, such as the readiness of technological infrastructure, training of educators, and the need for regulations that support the application of AI in education. Therefore, a more adaptive strategy is needed to ensure optimal integration of this technology in the learning system in the future.