10 MENIT PAHAM DEEP LEARNING. SEGERA DITERAPKAN

Summary

This video discusses the implementation of Deep Learning (Pembelajaran Mendalam) in Indonesia’s education system, focusing on its adaptation to the national curriculum. It compares the Deep Learning framework, based on Michael Fullan’s work, with Indonesia’s Profil Pelajar Pancasila, highlighting eight dimensions of graduate profiles, including faith, critical thinking, creativity, and health. The framework emphasizes pedagogical practices, learning environments, digital tools, and learning partnerships, aiming to foster holistic student development. It also incorporates values from the Indonesian National Education System, presenting an integrated approach to shaping students’ character and skills for the future.

Takeaways

• 😀 Deep Learning, or 'Pembelajaran Mendalam,' is set to be applied in Indonesia's national curriculum, based on extensive research by experts.
• 😀 The framework of Deep Learning consists of four layers: pedagogical practices, learning environment, digital utilization, and learning partnerships.
• 😀 Deep Learning's experience layers include understanding, applying, and reflecting, which align with higher-order cognitive skills like analyzing, evaluating, and creating (Bloom's taxonomy).
• 😀 The principles of Deep Learning emphasize three key concepts: mindful, meaningful, and joyful learning, which are central to the teaching approach.
• 😀 The graduate profile in Deep Learning consists of eight dimensions: faith, critical thinking, creativity, communication, collaboration, independence, health, and global citizenship.
• 😀 Key differences between the graduate profile of Deep Learning and Indonesia's Profile of Pancasila students include the presence of 'health' and 'faith' in the Deep Learning model, which are drawn from Indonesia's national education law.
• 😀 Indonesia's Profile of Pancasila also includes values like mutual cooperation ('gotong-royong') and independence, which correspond to similar concepts in Deep Learning, such as collaboration and independence.
• 😀 The graduate profile dimensions of Deep Learning were derived from Michael Fullan’s book on Deep Learning, but were modified to include values from Indonesia’s national education system.
• 😀 While the Deep Learning graduate profile emphasizes academic and cognitive skills, the Indonesian model also stresses moral and cultural values such as faith and community engagement.
• 😀 The educational system's philosophy, structure, and values in Indonesia align with the core principles of Deep Learning, but they also reflect local traditions and national legislation.

Q & A

What is the main focus of the video script?

The main focus of the video is on the concept of 'Deep Learning' (Pembelajaran Mendalam) in the Indonesian educational context, comparing it to Michael Fullan's framework and the Profil Pelajar Pancasila.

What are the core components of the Deep Learning framework introduced in the video?

The Deep Learning framework consists of four core components: Pedagogical Practices, Learning Environment, Digital Utilization, and Learning Partnerships.

How are the 'Graduate Profile Dimensions' related to the national education system?

The Graduate Profile Dimensions are directly related to the Indonesian national education system, as they are derived from the national education law (Undang-Undang 20 Tahun 2023), which emphasizes the development of faith, critical thinking, creativity, collaboration, and health.

What are the key differences between the Deep Learning framework and the Profil Pelajar Pancasila?

The main differences include the addition of 'health', 'independence', and 'faith' in the Deep Learning framework, which are not present in the Profil Pelajar Pancasila. However, both share similarities in values such as critical thinking, creativity, collaboration, and communication.

How does the video explain the concept of 'Deep Learning'?

The video explains 'Deep Learning' as an approach that goes beyond traditional methods. It is structured as a framework consisting of multiple layers, including learning experiences like understanding, applying, and reflecting, and principles such as mindfulness, meaningfulness, and joyfulness.

What is the significance of the term 'Kerangka Kerja' in the context of Deep Learning?

'Kerangka Kerja' refers to the framework or structure of Deep Learning. It is not just a method but a comprehensive approach that integrates different components such as pedagogy, environment, digital tools, and partnerships.

How does the video compare the Indonesian Deep Learning framework to Michael Fullan's version?

The Indonesian Deep Learning framework is adapted from Michael Fullan's version, with additional layers added, such as the 'learning experience' and 'learning principles' layers. Fullan’s version is described as having only two layers, while the Indonesian model has four.

What does the term '3Full' (mindful, meaningful, joyful) represent in the Deep Learning framework?

The '3Full' refers to three key principles in the Deep Learning framework: Mindful (awareness), Meaningful (relevance), and Joyful (enjoyable). These principles are meant to enhance the learning experience.

How does the video describe the role of technology in the Deep Learning framework?

Technology plays a crucial role in the Deep Learning framework through 'Digital Utilization,' which refers to the integration of digital tools and resources to enhance the learning environment and improve student engagement.

How does the Indonesian Deep Learning framework align with the national education law (Undang-Undang 20 Tahun 2023)?

The Indonesian Deep Learning framework aligns with the national education law by incorporating key values from the law, such as faith, critical thinking, creativity, and health, into the graduate profile dimensions. The framework supports the law’s goal of developing students into well-rounded individuals.