Emergent practices of learning analytics in K-12 classrooms[electronic resource]

• 其他作者: Höl, Devrim, , Ulutads, Nurdan Kavakı, , IGI Global.
• 出版: Hershey, Pennsylvania : IGI Global 2024.
• 稽核項: 1 online resource (268 p.).
• 標題: Educational statistics. , Academic achievement. , Education Research -- Data processing. , Electronic books. , ResearchData processing. , Education
• ISBN: 9798369300664
• 試查全文@TNUA:
• 附註: Includes bibliographical references and index. Chapter 1. Leveraging learning analytics to support learners and teachers: an introduction -- Chapter 2. Exploring the language learning challenges of dyslexics -- Chapter 3. Integrated model for asynchronous learning and predictiveanalytics for enhanced learner experience -- Chapter 4. Enhancing self-regulated learning with artificial intelligence-powered learning analytics -- Chapter 5. The integration of corpus tools in the design and implementation of a novel analytical model for the learning of K12 classrooms -- Chapter 6. A framework for online learning analytics in K-12 classrooms as a precursor for personalized learning: emergent practices in schools -- Chapter 7. Designing social learning analytics for collaborative learning using virtual reality, life skill, and STEM approach -- Chapter 8. Fostering K-12 learners' willingness to communicate through technology-enhanced practices with a perspective of learner analytics -- Chapter9. Rethinking learning engagement through emotional learning analytics in K-12 classrooms through social-emotional learning and mindfulness -- Chapter 10. The value of learning analytics in educational settings and future directions.
• 摘要: "In the world of education, technology has revolutionized teaching and learning practices globally. However, the widespread adoption of technology, especially in response to Covid-19, has led to a deluge of data from students' digital footprints. The challenge lies in effectively using this data through learning analytics (LA) to optimize K-12 classroom practices. Emergent Practices of Learning Analytics in K-12 Classrooms, edited by Dr. Nurdan Kavakli Ulutads and Dr.Devrim Höl offers a comprehensive solution to these challenges. This book gathers academic scholars to explore practical perspectives on applying learning analytics in K-12 classrooms, combining qualitative and quantitative methodologies.Addressing topics such as predictive analytics, ethical considerations, and future directions, it empowers educators to make data-driven decisions, creating engaging learning experiences for improved student outcomes. By embracing the insights and recommendations presented in this book, academic scholars can confidently navigate the realm of learning analytics and shape the future of K-12 education. "--
• 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0066-4
• 系統號: 005337656
• 資料類型: 電子書
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