Coverart for item
The Resource Software data engineering for network eLearning environments : analytics and awareness learning services, Santi Caballé, Jordi Conesa, editors

Software data engineering for network eLearning environments : analytics and awareness learning services, Santi Caballé, Jordi Conesa, editors

Label
Software data engineering for network eLearning environments : analytics and awareness learning services
Title
Software data engineering for network eLearning environments
Title remainder
analytics and awareness learning services
Statement of responsibility
Santi Caballé, Jordi Conesa, editors
Contributor
Editor
Subject
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
Dewey number
371.33/4
Illustrations
illustrations
Index
index present
LC call number
LB1028.43
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1967-
http://library.link/vocab/relatedWorkOrContributorName
  • Caballe, Santi
  • Conesa, Jordi
Series statement
Lecture notes on data engineering and communications technologies,
Series volume
volume 11
http://library.link/vocab/subjectName
  • Education
  • Educational technology
  • Software engineering
  • Cloud computing
Label
Software data engineering for network eLearning environments : analytics and awareness learning services, Santi Caballé, Jordi Conesa, editors
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Final Words; Acknowledgements; Contents; List of Acronyms; 1 Predictive Analytics: Another Vision of the Learning Process; Abstract; 1 Introduction; 2 Previous Work; 3 Predictive System; 3.1 Predictive Models and Machine Learning; 3.2 Predictive Models in Educational Contexts; 3.3 Design of a Predictive Analytics System; 4 Generic Predictive Analytics System; 4.1 Module to Gather Evidences; 4.2 Module to Create Predictive Models; 4.3 Module to Update Datasets; 4.4 Module to Generate Predictions; 5 Experimental Results; 5.1 Configuration of the Validation Experiment
  • 5.2 Analysis of the Simulation Results in Computer Fundamentals5.3 Analysis of the Simulation Results in Computer Structure; 6 Conclusions; Acknowledgements; References; A Procedural Learning and Institutional Analytics Framework; 1 Introduction; 2 Background; 2.1 Key Concepts; 2.2 Applications and Frameworks; 3 Proposed Framework; 3.1 Organizational Needs and Objectives; 3.2 Data; 3.3 Analysis; 3.4 Actions; 4 Application of the Framework; 5 Discussion; 6 Conclusion and Future Directions; References; 3 Engagement Analytics: A Microlevel Approach to Measure and Visualize Student Engagement
  • Abstract1 Introduction; 2 State of the Art; 2.1 Granularity of Measurement; 2.2 Student Engagement Instruments; 2.3 Self-Reported Data; 3 Towards a Microlevel Approach; 4 A Case Study in Programming; 4.1 Measuring Cognitive Engagement; 4.2 Measuring Emotional Engagement; 5 Discussion, Limitations and Future Work; 6 Conclusions; References; Learning Analytics in Mobile Applications Based on Multimodal Interaction; 1 Introduction; 2 Background; 2.1 Multimodal Mobile Interaction; 2.2 Mobile Sensing; 2.3 Learning Analytics; 2.4 Barriers for Creating Context-Aware Mobile Learning Apps
  • 3 Designing Multimodal Learning Apps with Analytics Support3.1 Visual Environment for Designing Interactive Learning Scenarios; 3.2 Supporting LA in VEDILS; 4 Case Study; 4.1 Application Design; 4.2 Evaluation; 5 Conclusions; References; 5 Increasing the Role of Data Analytics in m-Learning Conversational Applications; Abstract; 1 Introduction; 2 Educative Conversational Interfaces: The Role of Data Analytics; 3 Proposed Framework; 3.1 Main Components; 3.2 Use of Data Analytics; 4 Practical Educative Application; 5 Preliminary Evaluation; 6 Conclusions and Future Work; References
  • 6 Enhancing Virtual Learning Spaces: The Impact of the Gaming AnalyticsAbstract; 1 Introduction and Motivation; 2 Background and Literature Review; 2.1 Learning Analytics and Game Analytics; 2.2 Visualization; 3 Research Motivation; 4 Proposed Approach; 4.1 Front-End Interface; 5 Game Project Manager; 6 Scenes Manager; 7 Scene Editor; 8 3D Asset Manager; 8.1 How a Generated Game Looks like; 8.2 What the Educator Can Do with the Virtual Labs Authoring Tool Using the â#x80;#x9C;Energyâ#x80;#x9D; Lab Template; 8.3 Learner Actions Allowed in the Produced Games; 8.4 Visualization of Deep and Shallow Analytics
Control code
SPR1023414422
Dimensions
unknown
Extent
1 online resource (xvii, 228 pages)
File format
unknown
Form of item
online
Isbn
9783319683188
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-68318-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1023414422
  • (OCoLC)1023414422
Label
Software data engineering for network eLearning environments : analytics and awareness learning services, Santi Caballé, Jordi Conesa, editors
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Final Words; Acknowledgements; Contents; List of Acronyms; 1 Predictive Analytics: Another Vision of the Learning Process; Abstract; 1 Introduction; 2 Previous Work; 3 Predictive System; 3.1 Predictive Models and Machine Learning; 3.2 Predictive Models in Educational Contexts; 3.3 Design of a Predictive Analytics System; 4 Generic Predictive Analytics System; 4.1 Module to Gather Evidences; 4.2 Module to Create Predictive Models; 4.3 Module to Update Datasets; 4.4 Module to Generate Predictions; 5 Experimental Results; 5.1 Configuration of the Validation Experiment
  • 5.2 Analysis of the Simulation Results in Computer Fundamentals5.3 Analysis of the Simulation Results in Computer Structure; 6 Conclusions; Acknowledgements; References; A Procedural Learning and Institutional Analytics Framework; 1 Introduction; 2 Background; 2.1 Key Concepts; 2.2 Applications and Frameworks; 3 Proposed Framework; 3.1 Organizational Needs and Objectives; 3.2 Data; 3.3 Analysis; 3.4 Actions; 4 Application of the Framework; 5 Discussion; 6 Conclusion and Future Directions; References; 3 Engagement Analytics: A Microlevel Approach to Measure and Visualize Student Engagement
  • Abstract1 Introduction; 2 State of the Art; 2.1 Granularity of Measurement; 2.2 Student Engagement Instruments; 2.3 Self-Reported Data; 3 Towards a Microlevel Approach; 4 A Case Study in Programming; 4.1 Measuring Cognitive Engagement; 4.2 Measuring Emotional Engagement; 5 Discussion, Limitations and Future Work; 6 Conclusions; References; Learning Analytics in Mobile Applications Based on Multimodal Interaction; 1 Introduction; 2 Background; 2.1 Multimodal Mobile Interaction; 2.2 Mobile Sensing; 2.3 Learning Analytics; 2.4 Barriers for Creating Context-Aware Mobile Learning Apps
  • 3 Designing Multimodal Learning Apps with Analytics Support3.1 Visual Environment for Designing Interactive Learning Scenarios; 3.2 Supporting LA in VEDILS; 4 Case Study; 4.1 Application Design; 4.2 Evaluation; 5 Conclusions; References; 5 Increasing the Role of Data Analytics in m-Learning Conversational Applications; Abstract; 1 Introduction; 2 Educative Conversational Interfaces: The Role of Data Analytics; 3 Proposed Framework; 3.1 Main Components; 3.2 Use of Data Analytics; 4 Practical Educative Application; 5 Preliminary Evaluation; 6 Conclusions and Future Work; References
  • 6 Enhancing Virtual Learning Spaces: The Impact of the Gaming AnalyticsAbstract; 1 Introduction and Motivation; 2 Background and Literature Review; 2.1 Learning Analytics and Game Analytics; 2.2 Visualization; 3 Research Motivation; 4 Proposed Approach; 4.1 Front-End Interface; 5 Game Project Manager; 6 Scenes Manager; 7 Scene Editor; 8 3D Asset Manager; 8.1 How a Generated Game Looks like; 8.2 What the Educator Can Do with the Virtual Labs Authoring Tool Using the â#x80;#x9C;Energyâ#x80;#x9D; Lab Template; 8.3 Learner Actions Allowed in the Produced Games; 8.4 Visualization of Deep and Shallow Analytics
Control code
SPR1023414422
Dimensions
unknown
Extent
1 online resource (xvii, 228 pages)
File format
unknown
Form of item
online
Isbn
9783319683188
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-68318-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1023414422
  • (OCoLC)1023414422

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