Frontiers of Cyberlearning, Emerging Technologies for Teaching and Learning, Spector J., Kumar V., Essa A., Huang Y., Koper R., Tortorella R., Chang T., Li Y., Zhang Z., 2018

Frontiers of Cyberlearning, Emerging Technologies for Teaching and Learning, Spector J., Kumar V., Essa A., Huang Y., Koper R., Tortorella R., Chang T., Li Y., Zhang Z., 2018.     

The series Lecture Notes in Educational Technology (LNET), has established itself as a medium for the publication of new developments in the research and practice of educational policy, pedagogy, learning science, learning environment, learning resources etc. in information and knowledge age, – quickly, informally, and at a high level.




Introduction.
For many subjects, memorizing basic facts is an important first step in learning and mastering content. In learning a foreign language, for example, basic vocabulary must be memorized as an essential part of learning syntax and grammar. In medicine, it is still considered essential for doctors, nurses, medical assistants, and EMTs to have basic knowledge of anatomy and physiology, pharmacology, and medical terminology memorized for immediate recall in critical situations. Even for subjects which involve higher levels of cognition, retention of basic knowledge is commonly the foundation upon which higher levels of abstraction are built (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956).

Contents.
Learning Any Time, Anywhere: Big Educational Data from Smart Devices.
Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, and Pedagogy.
Learning Traces, Competence Assessment, and Causal Inference for English Composition.
QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases.
A Big Data Reference Architecture for Teaching Social Media Mining.
Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners.
Towards Big Data in Education: The Case at the Open University of the Netherlands.
Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data.
Using Apache Spark for Modeling Student Behavior at Scale.
Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions.
Cloud Services in Collaborative Learning: Applications and Implications.
Cloud Computing Environment in Big Data for Education.
Head in the Clouds: Some of the Possible Issues with Cloud Computing in Education.



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Хештеги: #Spector :: #Kumar :: #Essa :: #Huang :: #Koper :: #Tortorella :: #Chang :: #Li :: #Zhang :: #книги по педагогике :: #педагогика :: #книги на английском языке