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Software Data Engineering for Network eLearning Environments Analytics and Awareness Learning Services

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 02/2018
Edizione: 1st ed. 2018





Trama

This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders.

Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.





Sommario

SECTION I: Strategies and Methodologies based on Learning Data Analysis.-Chapter 1. Predictive Analytics: Another Vision of the Learning Process.-Chapter 2. A Procedural Learning and Institutional Analytics Framework.-Chapter 3. Extending learning analytics with microlevel student engagement data.-Chapter 4. Learning analytics in mobile applications based on multimodal interaction.-SECTION II: Applications of Analytics and Awareness Learning Services to eLearning.-Chapter 5. The role of data analytics in m-learning conversational applications.-Chapter 6. Enhancing Virtual Learning Spaces: the impact of the Gaming Analytics.-Chapter 7. Advice for Action with Automatic Feedback System s.-SECTION III: Practical Use Cases and Evaluation in Real Context of eLearning.-Chapter 8. Towards Full Engagement for Open Online Education. A practical experience from MicroMasters at edX.-Chapter 9. A Data Mining Approach to Identify the Factors Affec ting to the Academic Success of Tertiary Students in Sri Lanka.-Chapter 10. Evaluating the acceptance of e-learning systems via subjective and objective data analysis.











Altre Informazioni

ISBN:

9783319683171

Condizione: Nuovo
Collana: Lecture Notes on Data Engineering and Communications Technologies
Dimensioni: 235 x 155 mm Ø 519 gr
Formato: Brossura
Illustration Notes:XVII, 228 p. 57 illus., 49 illus. in color.
Pagine Arabe: 228
Pagine Romane: xvii


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