Summary of "Deep Learning oleh Prof Yuli Rahmawati Phd"
Summary of Deep Learning oleh Prof. Yuli Rahmawati PhD
Main Ideas and Concepts
1. Introduction to Deep Learning in Education
- Deep Learning (also called in-depth learning or PM) is a modern educational approach promoted by the Indonesian Ministry of Education and Culture.
- It focuses on developing holistic competencies in students beyond rote memorization, emphasizing meaningful, mindful, and joyful learning experiences.
- The seminar attracted a large audience, reflecting strong interest in applying deep learning in schools.
2. Profile and Credentials of Prof. Yuli Rahmawati PhD
- Roles and background:
- Drafting team member for deep learning policy.
- Educational attaché in Australia.
- Lecturer at State University of Jakarta.
- Research assistant and tutor at Curtin University.
- Awards:
- Best Lecturer (2017).
- Women in Academic Leadership (DAAD, 2019).
- Lecturer of the Year (Asia Education, 2024).
- Active in research, publications, and educational framework development.
3. Theoretical Foundations and Framework of Deep Learning
- Deep learning is built on multiple educational theories and adapted to the Indonesian context.
- Aligns with global educational goals such as the 6Cs (Critical thinking, Creativity, Collaboration, Communication, Citizenship, Character), expanded into eight dimensions including faith/piety and health.
- Integrates principles of mindful, meaningful, and joyful learning.
- Emphasizes understanding students’ readiness and cognitive development before advancing to higher-order thinking.
4. Challenges in Current Education
- Indonesian students report high happiness at school but perform poorly on international assessments like PISA.
- Learning often remains at low cognitive levels (C1-C2) without sufficient progression to higher-order thinking.
- Overloaded curriculum and limited time hinder deeper learning.
- Stresses the importance of contextualizing learning materials to students’ real-life environments.
5. Core Principles of Deep Learning
- Mindful: Students are aware and self-regulated in their learning.
- Meaningful: Learning connects with students’ real-life contexts and relevance.
- Joyful: Learning should be engaging and challenging, not just fun or entertaining.
- These principles guide learning design from understanding to application and reflection.
6. Learning Experience Stages
- Three key stages:
- Understanding
- Applying
- Reflecting (including metacognitive and emotional regulation)
- Assessment should be formative, ongoing, and include self-assessment and peer assessment.
7. Pedagogical Practices and Learning Environment
- Any teaching method is acceptable if it fosters meaningful, mindful, and joyful learning.
- The learning environment includes physical, virtual, and cultural aspects.
- Teachers act as facilitators, activators, collaborators, and culture shapers.
- Collaboration among teachers and involving learning partners (community members, parents, experts) enrich learning.
8. Use of Digital Technology
- Digital tools support assessment, self-regulation, and engagement.
- Digital use should be optimized but balanced, considering issues like gadget addiction.
- Examples: videos, quizzes, simulations, digital portfolios.
9. Curriculum and Content Considerations
- Focus on:
- Essential knowledge (core concepts).
- Applied knowledge (real-world application).
- Values and character education.
- Curriculum should be adapted to students’ readiness and local context.
- Encourages differentiated instruction.
- Promotes integration across disciplines (multi/interdisciplinary learning).
10. Implementation Examples Across Educational Levels
- Early childhood education (PAUD): hands-on and sensory learning.
- Elementary to vocational schools: contextualized projects (e.g., polymers, solar panels, environmental issues).
- Special education: sensory-based experiments for blind students.
- Vocational schools: link learning to industry and practical skills.
11. Assessment and Feedback
- Continuous assessment including formative, summative, self, and peer assessments.
- Feedback is critical to support self-regulation and learning progression.
- Assessment measures understanding, application, and reflection.
12. Teacher’s Role and Professional Development
- Teachers must understand student characteristics and learning readiness.
- Design learning experiences that are contextual, relevant, and engaging.
- Teacher motivation and empathy are crucial, especially with challenging student behaviors.
- Ongoing training and support from the Ministry and institutions like Uhamka are planned.
13. Future Directions and Support
- Deep learning is a living, evolving framework with a 5-year projection.
- The Ministry will pilot and gradually implement deep learning in selected schools.
- Guidance documents and training programs will be developed.
- Collaboration among educators, schools, and communities is vital for success.
Methodology / Instructions for Implementing Deep Learning
Planning Stage
- Identify student characteristics and readiness.
- Analyze material for difficulty and essential content.
- Align learning objectives with graduate profile dimensions.
- Design learning experiences with phases of understanding, applying, and reflecting.
- Incorporate pedagogical practices, learning environment, learning partnerships, and digital utilization.
Learning Experience Design
- Ensure learning is mindful, meaningful, and joyful.
- Use differentiated instruction and interdisciplinary approaches.
- Engage students actively and foster collaboration.
- Connect learning to real-life contexts relevant to students.
Assessment
- Use formative assessments and feedback to guide learning.
- Include self-assessment and peer assessment.
- Align assessments with learning objectives and cognitive levels.
- Utilize digital tools to facilitate assessment and feedback.
Teacher Role
- Act as facilitator, activator, collaborator, and culture shaper.
- Provide safe and supportive learning environments.
- Continuously reflect and adapt teaching based on student feedback and assessment data.
Use of Technology
- Integrate digital tools for content delivery, assessment, and engagement.
- Balance digital use to prevent overreliance and addiction.
Collaboration
- Coordinate projects and activities across subjects.
- Involve community and external partners as learning resources.
Contextualization
- Adapt content to local and student-specific contexts.
- Use examples and materials relevant to students’ daily lives and environments.
Speakers / Sources Featured
- Prof. Yuli Rahmawati PhD – Main presenter, expert in deep learning, educational attaché, lecturer.
- Dr. Muntazimah MPD – Moderator.
- Prof. Nani Soihati M.Pd – Vice Chancellor of Uhamka.
- Mrs. Anisia Kumala LC MC – Psychologist, BPH of Uhamka and regional leadership.
- Mia Rusti – Participant from Darul Quran Mulia Foundation.
- Fajar Handoko – Participant from Islamic School of Islamic Boarding School.
- Michael Fullan – Referenced educational theorist, author of Deep Learning and Tools of Engagement.
- Minister of Education and Culture (unnamed) – Provided introductory remarks and policy context.
This summary captures the core content, concepts, and practical guidance from Prof. Yuli Rahmawati’s presentation on deep learning, emphasizing its theoretical foundations, implementation framework, challenges, and future directions in Indonesian education.
Category
Educational
