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.
Yazar Ek Girişi:
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-981-99-0026-8Kopya:
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Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
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Arıyor... | E-Kitap | 520229-1001 | XX(520229.1) | Arıyor... | Arıyor... |