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
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 520229-1001 | ONLINE | | Elektronik Kütüphane |