Implementing A 21st Century Competency Based Curriculum Through Lesson Study
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Implementing a 21st Century Competency-Based Curriculum Through Lesson Study
Drawing from a comprehensive collection of university-funded teaching development projects, this edited volume explores the theories and practices behind developing pedagogies through Lesson Study for a 21st-century curriculum. It encompasses various aspects such as lesson observation, assessment literacy, online teaching pedagogy, values education, STEM education, language education, and mathematics education. The chapters investigate the application of Lesson Study in diverse contexts, highlighting its use in ICT-based teaching and learning environments, the development and refinement of e-pedagogies, as well as the integration of AI in education. Through these cases, the content demonstrates how Lesson Study empowers teachers to craft pedagogies that enhance student learning, while emphasizing its pivotal role as an innovative approach to address the evolving landscape of education in this digital era. Implementing a 21st Century Competency-Based Curriculum Through Lesson Study is the first to address the academic discussion of using Lesson Study to develop pedagogies for effective curriculum implementation to tackle the impact of Industry 4.0 on school education. It offers valuable insights, reflections, and practical guidance to policy makers, school leaders, teacher educators, and teachers who are dedicated to enhancing student learning and nurturing the essential skills required for success in the 21st century.
Developing Metacognitive Teaching Strategies Through Lesson Study
The book illustrates how Lesson Study can be applied to craft metacognitive teaching strategies to enhance students’ learning to learn competencies. Based on the findings of an empirical study of a university-funded teaching development project, this book reports how to apply Lesson Study and Learning Study to enhance teachers’ metacognitive teaching competencies with a view to tackling the impacts and challenges created by and underlying the learning to learn curriculum. The book allows readers to experience metacognitive learning by sorting the prior knowledge on the metacognition, setting the goal and planning reading schedule, checking their understanding and progress, evaluating what they have or have not learned and reflected on their reading experience and feelings. Readers can grasp the key concept underpinning metacognitive teaching, including teaching strategies for developing students’ metacognitive abilities that include working on problem-solving activities, working on small collaborative groups, making metacognitive and learning strategies explicit, and encouraging students to reflect upon and talk about their learning.
Next-Generation AI Methodologies in Education
Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists.