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                Educational Data Analytics for Teachers and School Leaders
                
            
            
            
              Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.            
            
            Availability
            No copy data
            Detail Information
            
                - Series Title
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                    Advances in Analytics for Learning and Teaching 
- Call Number
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                    XII, 238 
- Publisher
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                    Springer Cham :
                    Springer Cham.,
                    2022
                
- Collation
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                    - 
- Language
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                        English 
- ISBN/ISSN
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                    978-3-031-15266-5 
- Classification
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                    NONE 
- Content Type
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                    text 
- Media Type
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                    computer 
- Carrier Type
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                    online resource 
- Edition
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                    1 
- Subject(s)
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- Specific Detail Info
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                    - 
- Statement of Responsibility
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                    Sofia Mougiakou 
Other Information
              
                                    - Cataloger
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                        Suwardi 
- Source
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                        https://link.springer.com/book/10.1007/978-3-031-15266-5 
- Validator
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                        - 
- Digital Object Identifier (DOI)
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                        - 
- Journal Volume
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                        - 
- Journal Issue
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- Subtitle
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- Parallel Title
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