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Titlebook: Manage Your Own Learning Analytics; Implement a Rasch Mo Elspeth McKay Book 2022 Springer Nature Switzerland AG 2022 Cognitive Performance

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樓主
發(fā)表于 2025-3-21 19:51:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Manage Your Own Learning Analytics
副標(biāo)題Implement a Rasch Mo
編輯Elspeth McKay
視頻videohttp://file.papertrans.cn/623/622098/622098.mp4
概述Presents a prescriptive learning analytics planning model to guide the novice instructional systems designer.Equips the readers with the information they need to carry out their own learning analytics
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: Manage Your Own Learning Analytics; Implement a Rasch Mo Elspeth McKay Book 2022 Springer Nature Switzerland AG 2022 Cognitive Performance
描述This book sheds light on the practice of learning analytics, illuminating how others approach their data analysis. At the beginning of the book, a ‘prescriptive learning analytics planning model’ gives straightforward instructions for people to follow. This book is organized into ten chapters, falling into four topical sections: Managing Learning Analytics (overview, instructional systems design (ISD), instructional design, and planning data analysis); Cognitive Performance Measurement Practices (classical test theory (CTT), Rasch measurement theory (RMT), Item response theory(IRT), Rasch Modeling Tools (research design, setting methodology); and Case Studies (corporate training settings, healthcare industry, and educational courseware design). This book is an important reference for: educational research community and instructional systems designers; corporate training developers; postgraduate course developers; and doctoral students..
出版日期Book 2022
關(guān)鍵詞Cognitive Performance Measurement; Learning Analytics; Instructional Design; Instructional Systems Desi
版次1
doihttps://doi.org/10.1007/978-3-030-86316-6
isbn_softcover978-3-030-86318-0
isbn_ebook978-3-030-86316-6Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:39:07 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:14:15 | 只看該作者
https://doi.org/10.1007/978-3-030-86316-6Cognitive Performance Measurement; Learning Analytics; Instructional Design; Instructional Systems Desi
地板
發(fā)表于 2025-3-22 04:40:52 | 只看該作者
978-3-030-86318-0Springer Nature Switzerland AG 2022
5#
發(fā)表于 2025-3-22 12:20:12 | 只看該作者
Manage Your Own Learning Analytics978-3-030-86316-6Series ISSN 2190-3018 Series E-ISSN 2190-3026
6#
發(fā)表于 2025-3-22 13:14:06 | 只看該作者
Book 2022escriptive learning analytics planning model’ gives straightforward instructions for people to follow. This book is organized into ten chapters, falling into four topical sections: Managing Learning Analytics (overview, instructional systems design (ISD), instructional design, and planning data anal
7#
發(fā)表于 2025-3-22 20:58:45 | 只看該作者
Using Log Stream Data and Item Response Theory to Understand Proficiency in Collaboration,ss stream data of collaboration into formative assessment data that can be analysed using Item Response Theory. The application of this model in turn allows the interpretation of the data as levels of proficiency that we can use to map or monitor progress in collaborative skills.
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發(fā)表于 2025-3-23 01:10:06 | 只看該作者
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發(fā)表于 2025-3-23 05:22:26 | 只看該作者
Industry 4.0: Learning Analytics Using Artificial Intelligence and Advanced Industry Applications,em to show the different use of AI. This book chapter explains: the meaning of the learning analytics in Industry 4.0 and education and its affiliated areas; AI and its related areas with examples from state-of-the-art corporate applications and solutions based on AI technologies integrated into the learning analytics.
10#
發(fā)表于 2025-3-23 06:33:07 | 只看該作者
Machine Learning for Learning Analytics for Meta-cognitive Support,in the student’s mind. The sources for the chosen direction rest upon earlier research into media-support for conceptual learning. This chapter may elicit the discussion on how far technology-driven innovations can bypass the existing repertoire of earlier didactic solutions.
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