书目名称 | Computational Intelligence in Digital Pedagogy |
编辑 | Arpan Deyasi,Soumen Mukherjee,Arindam Mondal |
视频video | http://file.papertrans.cn/233/232491/232491.mp4 |
概述 | Discusses useful open-source pedagogy tools and step-by-step guideline on how to assess and evaluate student‘s performance and feedback using those tools.Presents case studies on how to measure and an |
丛书名称 | Intelligent Systems Reference Library |
图书封面 |  |
描述 | This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnosticand feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applic |
出版日期 | Book 2021 |
关键词 | Digital Pedagogy; Computational Intelligence in Education Technology; Computer Based Technical Educati |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-15-8744-3 |
isbn_softcover | 978-981-15-8746-7 |
isbn_ebook | 978-981-15-8744-3Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
issn_series | 1868-4394 |
copyright | Springer Nature Singapore Pte Ltd. 2021 |