Cover image for Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence
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.
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