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Educational data science : essentials, approaches, and tendencies / / Alejandro Peña-Ayala
| Educational data science : essentials, approaches, and tendencies / / Alejandro Peña-Ayala |
| Autore | Peña-Ayala Alejandro |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd, , [2023] |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 005.7 |
| Collana | Big Data Management |
| Soggetto topico |
Big data
Education - Data processing |
| ISBN |
9789819900268
9789819900251 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996547967203316 |
Peña-Ayala Alejandro
|
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| Singapore : , : Springer Nature Singapore Pte Ltd, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Educational Data Science: Essentials, Approaches, and Tendencies : Proactive Education based on Empirical Big Data Evidence / / edited by Alejandro Peña-Ayala
| Educational Data Science: Essentials, Approaches, and Tendencies : Proactive Education based on Empirical Big Data Evidence / / edited by Alejandro Peña-Ayala |
| Autore | Peña-Ayala Alejandro |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 005.7 |
| Collana | Big Data Management |
| Soggetto topico |
Artificial intelligence - Data processing
Data mining Big data Data Science Data Mining and Knowledge Discovery Big Data Educació Processament de dades Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819900268
9789819900251 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910720093003321 |
|
Peña-Ayala Alejandro
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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