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Titlebook: Learning Analytics Methods and Tutorials; A Practical Guide Us Mohammed Saqr,Sonsoles López-Pernas Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if appl

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書(shū)目名稱(chēng)Learning Analytics Methods and Tutorials
副標(biāo)題A Practical Guide Us
編輯Mohammed Saqr,Sonsoles López-Pernas
視頻videohttp://file.papertrans.cn/583/582684/582684.mp4
概述The book is a tutorial for learning analytics, data mining and quantitative methods in education.The book is or beginners and experienced readers with step-by-step tutorials, real-life data and code.T
圖書(shū)封面Titlebook: Learning Analytics Methods and Tutorials; A Practical Guide Us Mohammed Saqr,Sonsoles López-Pernas Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if appl
描述.This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere..The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essentia
出版日期Book‘‘‘‘‘‘‘‘ 2024
關(guān)鍵詞learning analytics methods; educational data mining; quantitative methods in education; social network
版次1
doihttps://doi.org/10.1007/978-3-031-54464-4
isbn_softcover978-3-031-54466-8
isbn_ebook978-3-031-54464-4
copyrightThe Editor(s) (if applicable) and The Author(s) 2024
The information of publication is updating

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An R Approach to Data Cleaning and Wrangling for Education Researchg analytics. This chapter provides an introduction to data wrangling using R and covers topics such as data importing, cleaning, manipulation, and reshaping with a focus on tidy data. Specifically, readers will learn how to read data from different file formats (e.g. CSV, Excel), how to manipulate d
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Introductory Statistics with R for Educational Researchersg environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and
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Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using Rartitioning heterogeneous data into homogeneous groups, whereby cases within a group are more similar to each other than cases assigned to other groups, without foreknowledge of the group labels. Clustering is also an important component of several exploratory methods, analytical techniques, and mod
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An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysisr subgroups within students’ behavior or functioning. Assuming that there is “an average” pattern that represents the entirety of student populations requires the measured construct to have the same causal mechanism, same development pattern, and affect students in exactly the same way. Using a pers
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Sequence Analysis in Education: Principles, Technique, and Tutorial with Rct meaningful insights from sequential data, i.e., to summarize the sequential patterns of learning data and classify those patterns into homogeneous groups. In this chapter, readers will become familiar with sequence analysis techniques and tools through real-life step-by-step examples of sequentia
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