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Titlebook: Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessme; With Examples in R a Alina A. von Dav

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發(fā)表于 2025-3-21 17:42:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessme
副標(biāo)題With Examples in R a
編輯Alina A. von Davier,Robert J. Mislevy,Jiangang Hao
視頻videohttp://file.papertrans.cn/233/232928/232928.mp4
概述Presents a new discipline specific to educational assessment and crystalizes the integration of several methodologies in a unique way.Extends hard-won psychometric insights to a larger universe of con
叢書名稱Methodology of Educational Measurement and Assessment
圖書封面Titlebook: Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessme; With Examples in R a Alina A. von Dav
描述.This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners’ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks..Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term “computational” has been widely adopted by many other areas, as with computational statistics, compu
出版日期Book 2021
關(guān)鍵詞Methodologies of educational assessments; Assessments in virtual settings; Traditional assessments; Cen
版次1
doihttps://doi.org/10.1007/978-3-030-74394-9
isbn_softcover978-3-030-74396-3
isbn_ebook978-3-030-74394-9Series ISSN 2367-170X Series E-ISSN 2367-1718
issn_series 2367-170X
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:00:51 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:55:27 | 只看該作者
2367-170X s hard-won psychometric insights to a larger universe of con.This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discu
地板
發(fā)表于 2025-3-22 06:59:56 | 只看該作者
Supply-Strategien in Einkauf und Beschaffungm virtual learning and assessment systems. We also discuss here the structure of the edited volume, how each chapter contributes to enhancing the psychometrics science and our recommendations for further readings.
5#
發(fā)表于 2025-3-22 09:46:59 | 只看該作者
https://doi.org/10.1007/978-94-009-5141-9discussed, as student knowledge is the most common learner characteristic widely assessed in large-scale adaptive systems. This chapter concludes with a discussion of the limitations of the current generation of adaptive learning systems, and areas of potential for future progress.
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發(fā)表于 2025-3-22 16:38:24 | 只看該作者
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發(fā)表于 2025-3-22 19:58:35 | 只看該作者
Introduction to Computational Psychometrics: Towards a Principled Integration of Data Science and Mm virtual learning and assessment systems. We also discuss here the structure of the edited volume, how each chapter contributes to enhancing the psychometrics science and our recommendations for further readings.
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發(fā)表于 2025-3-22 22:34:54 | 只看該作者
Knowledge Inference Models Used in Adaptive Learningdiscussed, as student knowledge is the most common learner characteristic widely assessed in large-scale adaptive systems. This chapter concludes with a discussion of the limitations of the current generation of adaptive learning systems, and areas of potential for future progress.
9#
發(fā)表于 2025-3-23 04:44:43 | 只看該作者
Text Mining and Automated Scoringis chapter, we aim at introducing some basics of NLP through two typical applications in educational contexts, text mining and automated scoring. We hope readers can get an overall picture of NLP and get familiarized with some basic tools for handling natural language data, which may serve as stepping stones for their future work with NLP.
10#
發(fā)表于 2025-3-23 07:20:32 | 只看該作者
Supply-Strategien in Einkauf und Beschaffung models, the Dynamic Bayesian Models that encompass many traditional psychometric models and machine-learning algorithms. We conclude by emphasizing that model complexity and power need to be balanced with the responsibility for transparency and fairness towards stakeholders.
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