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Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence için kapak resmi
Başlık:
Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence
Yazar:
Peña-Ayala, Alejandro. editor.
ISBN:
9789819900268
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XIII, 291 p. 1 illus. online resource.
Seri:
Big Data Management,
İçerik:
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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E-Kitap 520229-1001 XX(520229.1)
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