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Titlebook: Computational Intelligence in Digital Pedagogy; Arpan Deyasi,Soumen Mukherjee,Arindam Mondal Book 2021 Springer Nature Singapore Pte Ltd.

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發(fā)表于 2025-3-21 19:52:24 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence in Digital Pedagogy
編輯Arpan Deyasi,Soumen Mukherjee,Arindam Mondal
視頻videohttp://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
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Computational Intelligence in Digital Pedagogy; Arpan Deyasi,Soumen Mukherjee,Arindam Mondal Book 2021 Springer Nature Singapore Pte Ltd.
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
關(guān)鍵詞Digital Pedagogy; Computational Intelligence in Education Technology; Computer Based Technical Educati
版次1
doihttps://doi.org/10.1007/978-981-15-8744-3
isbn_softcover978-981-15-8746-7
isbn_ebook978-981-15-8744-3Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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發(fā)表于 2025-3-21 22:23:17 | 只看該作者
https://doi.org/10.1007/978-3-531-90964-6ng cannot happen without a minimum threshold quality. Some major factors dealing with the quality aspects in the teaching–learning process have been discussed in the chapter. The recent initiatives taken by the government of India in boosting the quality in the education system are also highlighted here.
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,An Innovative Step for Enhancement in Student Results and Teaching–Learning Process Using Educations. In this paper, a novel and different methods and functions used for teaching by AI are being explained for enhancement of student results, and outcome-based teaching–learning process using educational technology and its statistical result analysis is described using .-test.
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發(fā)表于 2025-3-22 13:54:54 | 只看該作者
Book 2021ased 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 learn
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Application of Internet of Things in Digital Pedagogy, field by using IoT. A system is proposed that provides students to interact with the neighboring objects. An experiment is conducted with the aim to illustrate the use of IoT in education which improves the learning outcome.
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