Learning Analytics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43926306" target="_blank" >RIV/62156489:43110/24:43926306 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Learning Analytics
Original language description
This study material provides a detailed exploration of learning analytics, focusing on how data-driven insights can improve educational outcomes. The content begins with a comprehensive introduction to the fundamental concepts, objectives, and challenges of learning analytics, followed by an examination of its essential elements and data resources. The book delves into various methodological frameworks, data analysis methods, and preprocessing techniques to equip readers with the skills needed to perform effective exploratory data analysis. Key machine learning models such as linear regression, random forests, clustering using K-means, and association rule mining are thoroughly explained and contextualized within the realm of learning analytics. The material also highlights current research topics and the development of educational technology (EdTech) using AI, machine learning, and deep learning models. Practical insights into software development, open architecture frameworks, and project management are provided to support the successful implementation of learning analytics in educational settings.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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