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Titlebook: Social and Emotional Learning and Complex Skills Assessment; An Inclusive Learnin Yuan ‘Elle‘ Wang,Sre?ko Joksimovi?,John Whitmer Book 2022

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發(fā)表于 2025-3-21 17:26:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Social and Emotional Learning and Complex Skills Assessment
副標(biāo)題An Inclusive Learnin
編輯Yuan ‘Elle‘ Wang,Sre?ko Joksimovi?,John Whitmer
視頻videohttp://file.papertrans.cn/871/870053/870053.mp4
概述Diverse learning contexts: K-12, higher education, and informal training.It covers multiple modalities of learning: online, hybrid, and traditional.It incorporates timely analyses to explore how resea
叢書名稱Advances in Analytics for Learning and Teaching
圖書封面Titlebook: Social and Emotional Learning and Complex Skills Assessment; An Inclusive Learnin Yuan ‘Elle‘ Wang,Sre?ko Joksimovi?,John Whitmer Book 2022
描述In this book, we primarily focus on studies that provide objective, unobtrusive, and innovative measures (e.g., indirect measures, content analysis, or analysis of trace data) of SEL skills (e.g., collaboration, creativity, persistence), relying primarily on learning analytics methods and approaches that would potentially allow for expanding the assessment of SEL skills and competencies at scale. What makes the position of learning analytics pivotal in this endeavor to redefine measurement of SEL skills are constant changes and advancements in learning environments and the quality and quantity of data collected about learners and the process of learning. Contemporary learning environments that utilize virtual and augmented reality to enhance learning opportunities accommodate for designing tasks and activities that allow learners to elicit behaviors (either in face-to-face or online context) not being captured in traditional educational settings.?.Novel insights provided in the book span across diverse types of learning contexts and learner populations. Specifically, the book addresses relevant and emerging theories and frameworks (in various disciplines such as education, psycholo
出版日期Book 2022
關(guān)鍵詞Learning analytics; Social and emotional learning; Machine learning; 21st century skills; Collaboration;
版次1
doihttps://doi.org/10.1007/978-3-031-06333-6
isbn_softcover978-3-031-06335-0
isbn_ebook978-3-031-06333-6Series ISSN 2662-2122 Series E-ISSN 2662-2130
issn_series 2662-2122
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-031-06333-6Learning analytics; Social and emotional learning; Machine learning; 21st century skills; Collaboration;
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Yuan ‘Elle‘ Wang,Sre?ko Joksimovi?,John WhitmerDiverse learning contexts: K-12, higher education, and informal training.It covers multiple modalities of learning: online, hybrid, and traditional.It incorporates timely analyses to explore how resea
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Network Climate Action Through MOOCsly chose reducing food waste and plant-rich diets as their climate actions, and applied social influence research to persuade their family and friends to take the same actions. The study helps us understand how a MOOC can foster participants taking climate actions and helping spread those actions through their social networks.
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Exploring Selective College Attendance and Middle School Cognitive and Non-cognitive Factors Within tually go to either a selective or a non-selective college 77.4% of the time. The resulting model can also run in real-time, creating the potential for providing actionable data quickly to teachers and guidance counselors.
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