Summary of "CONTOH PENERAPAN DEEP LEARNING (PEMBELAJARAN MENDALAM) DI SEKOLAH / MADRASAH"

Summary of Video:

"CONTOH PENERAPAN Deep Learning (PEMBELAJARAN MENDALAM) DI SEKOLAH / MADRASAH"

Main Ideas and Concepts:

  1. Introduction to Deep Learning in Education
    • Explanation of why Deep Learning is needed in schools/madrasahs.
    • Overview of Deep Learning components, frameworks, planning, implementation, challenges, and practical examples.
    • Mention of new subjects like Coding and AI starting from grade 4 as elective or extracurricular, highlighting opportunities and challenges.
  2. Why Do We Need Deep Learning?
    • Involvement: Learning should actively involve teachers, students, and parents for meaningful experiences.
    • Awareness: Teachers should cultivate students’ intrinsic motivation and active learning mindset.
    • Glorifying Potential: Respect and appreciate each student's unique talents and intelligence, avoiding discrimination or comparison.
    • Learning Culture: Foster creativity, innovation, and collaboration between teachers and students, inside and outside the classroom.
    • Digital Technology Utilization: Use digital tools to increase efficiency and effectiveness in planning, implementation, and evaluation.
    • Interdisciplinary Learning: Apply multidisciplinary approaches to deepen understanding by studying topics from multiple perspectives (e.g., natural disasters from health, religious, social aspects).
  3. Definition and Components of Deep Learning
    • Deep Learning means studying fewer topics but in greater depth, focusing on qualitative understanding rather than quantity or rote memorization.
    • It is not a curriculum but a learning approach emphasizing:
      • Mindful Learning: Conscious, intrinsic motivation-based learning.
      • Meaningful Learning: Learning that connects with real-life experiences and prior knowledge.
      • Joyful Learning: Fun and engaging learning from the students’ perspective.
  4. Deep Learning Framework
    • Graduate Profile Dimensions (8):
      1. Faith and piety
      2. Citizenship and nationalism
      3. Critical reasoning
      4. Creativity and innovation
      5. Collaboration
      6. Independence
      7. Health (physical and mental)
      8. Communication skills
    • Learning Principles: Mindful, meaningful, joyful learning.
    • Learning Experience: Condensed into three phases:
      • Understanding (deep conceptual knowledge)
      • Applying (using knowledge in real-life contexts)
      • Reflecting (evaluating and improving learning and actions)
    • Learning Environment Components:
      • Pedagogical practices (strategies, methods, evaluations)
      • Learning partnerships (collaboration among teachers, parents, community, industry)
      • Learning environments (physical, virtual, digital spaces)
      • Digital utilization (tools to enhance interaction, collaboration, contextual learning)
  5. Taxonomy Comparison
    • Deep Learning’s understanding aligns with lower-order thinking (remembering, understanding).
    • Applying and reflecting align with higher-order thinking (analyzing, evaluating, creating).
    • Emphasis on integrating cognitive, emotional (heart), aesthetic (feeling), and physical (kinesthetic) domains to develop whole-person education.
  6. Shift in Education Ecosystem
    • Traditional top-down model reversed: teachers are now central developers and motivators of learning, while government acts as overseer.
    • Teachers must be creative in media, strategy, materials, and assessments.
  7. Example of Deep Learning Planning
    • Identify student readiness (prior knowledge, interests, learning styles).
    • Analyze subject matter (type, relevance, difficulty, integration with character values).
    • Map content to graduate profile dimensions.
    • Define learning outcomes aligned with curriculum but interdisciplinary.
    • Plan pedagogical practices, partnerships, learning environment, and digital tools.
    • Learning steps:
      • Initial (apperception, joyful activities)
      • Core (understanding, applying, reflecting)
      • Closing (summary, reflection, evaluation)
    • Assessment types:
      • Diagnostic (initial readiness)
      • Formative (ongoing feedback)
      • Summative (final evaluation)
  8. Examples of Deep Learning in Subjects
    • Religious Education: Experiential learning through real-life moral issues.
    • Pancasila Education: Case studies on social, political, legal issues.
    • Mathematics: Problem-based learning using real-life contexts (nutrition, percentages).
    • Language: Inquiry-based learning exploring dialects and social language use.
    • Science: Project-based learning (e.g., renewable energy projects).
    • Social Sciences: Contextual learning comparing modern and traditional markets.
  9. Assessment Principles
    • Assessment as learning (self-reflection, rubrics, journals).
    • Assessment for learning (feedback to improve learning and teaching).

Category ?

Educational

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