Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence
by
 
Peña-Ayala, Alejandro. editor.

Title
Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence

Author
Peña-Ayala, Alejandro. editor.

ISBN
9789819900268

Edition
1st ed. 2023.

Physical Description
XIII, 291 p. 1 illus. online resource.

Series
Big Data Management,

Contents
1. Engaging in Student-Centered Educational Data Science through Learning Engineering -- 2. A review of clustering models in educational data science towards fairness-aware learning -- 3. Educational Data Science: Is an "Umbrella Term" or an Emergent Domain? -- 4. Educational Data Science Approach for End-to-End Quality Assurance Process for Building Credit-Worthy Online Courses -- 5. Understanding the Effect of Cohesion in Academic Writing Clarity Using Education Data Science -- 6. Sequential pattern mining in educational data: the application context, potential, strengths, and limitations -- 7. Sync Ratio and Cluster Heat Map for Visualizing Student Engagement.

Added Author
Peña-Ayala, Alejandro.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-981-99-0026-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520229-1001ONLINEElektronik Kütüphane