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Golnaz Arastoopour Irgens; Ibrahim Oluwajoba Adisa; Deepika Sistla; Tolulope Famaye; Cinamon Bailey; Atefeh Behboudi; Adenike Omalara Adefisayo – International Educational Data Mining Society, 2024
Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…
Descriptors: Learning Theories, Learning Analytics, Electronic Learning, Elementary School Students
Khulbe, Manisha; Tammets, Kairit – Technology, Knowledge and Learning, 2023
Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…
Descriptors: Faculty Development, Learning Analytics, Intervention, Teacher Attitudes

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