Computer-assisted learning for engaging varying aptitudes [electronic resource] : from theory to practice / R. Dhaya and R. Kanthavel, editors.
- 其他作者：
- 出版： Hershey, Pennsylvania : IGI Global 2023.
- 主題： Educational technology. , Computer-assisted instruction. , Learning. , Educational change. , Electronic books.
- ISBN： 9781668450598 (electronic bk.) 、 1668450585 、 9781668450581
- URL：
點擊此處查看電子書
點擊此處查看電子書
- 一般註：Includes bibliographical references and index. Chapter 1. Technology-based computer-assisted learning: an iotcal overview -- Chapter 2. Use of CAL-AI in future wireless communication systems -- Chapter 3. The influence of AI-assisted learning on CAL: a blueprint -- Chapter 4. Instruction process and learning issues in computer-assisted learning: a detailed review -- Chapter 5. Computing the cloud storage for computer-aided learning access -- Chapter 6. An overview of the big data technology for computer-assisted learning -- Chapter 7. Analyzing the novel approaches for intelligent computer-aided learning (ICAL) -- Chapter 8. Recent trends in nanomaterials: challenges and opportunities -- Chapter 9. Recent trends in microstrip patch antenna using textile applications -- Chapter 10. Cloud-based detection of forged passport and extraction of true identity: surf match algorithm for fraudulence reduction -- Chapter 11. IoT-based solar charged wireless vehicle parking network. 112年度臺灣學術電子書暨資料庫聯盟採購
-
讀者標籤：
- 系統號： 000306440 | 機讀編目格式
館藏資訊
Computer-assisted learning has completely modernized the way that students learn both in the average classroom as well as in language learning contexts. Through its ability to provide interactive and engaging learning resources, computer-assisted learning is a useful tool for engaging all learners. It is essential that educators stay current with the emerging learning technologies so that they can create more dynamic and engaging classrooms and pique the interest of even the most apathetic students. Computer-Assisted Learning for Engaging Varying Aptitudes: From Theory to Practice is an essential reference source that provides insights on the practical applications of technology-based learning and its measurement and explains the applicability of this method in various classrooms. Covering topics in facial recognition technology, big data technology, and learning challenges, this premier reference source is a dynamic resource for faculty and administrators of both K-12 and higher education, pre-service teachers, IT consultants, educational software developers, government officials, superintendents, researchers, and academicians.
摘要註
"This book will provide an insight into the practical applications of technology-based learning measures with results, so that the readers will get an explanation and the applicability of the methods"--
