Improving Student^s Collaboration and Communication Skills through Project-Based Learning Model and a Deep Learning Approach in Phase F Statistics Material Isna Fauziyah (a*), Elah Nurlaelah (a), Toyib Febri Kisdiono (b)
(a) Universitas Pendidikan Indonesia, Bandung, Indonesia
(b) SMAN 1 Panggarangan, Banten, Indonesia
Abstract
Collaboration and communication skills are part of the eight dimensions outlined in the graduate profile of the Merdeka Curriculum. The deep learning approach emphasizes three core principles: mindful, meaningful, and joyful learning. When integrated into project-based learning, this approach is expected to enhance student^s collaboration and communication abilities. The aim of this study is to analyze the effectiveness of implementing project-based learning with a deep learning approach in the Phase F statistics material on student^s collaboration and communication skills. The statistical topics covered in this study include scatter plots, linear regression equations, and correlation analysis, with the aid of Microsoft Excel. This research uses a qualitative descriptive method. The instruments used consisted of observation sheets to assess collaboration and communication skills, as well as student response questionnaires. The findings indicate that after the implementation of project-based learning with a deep learning approach, student^s collaboration skills reached 77.25%, categorized as good, while communication skills reached 65.75%, categorized as enough. Meanwhile, student responses to the implementation of this approach in Phase F statistics material were very good. Based on the findings, it can be concluded that implementing project-based learning with a deep learning approach in Phase F statistics material can influence student^s collaboration and communication skills.
Keywords: Project Based Learning, Deep Learning, Statistic
