Software data engineering for network eLearning environments : analytics and awareness learning services /: analytics and awareness learning services. (2018)
- Record Type:
- Book
- Title:
- Software data engineering for network eLearning environments : analytics and awareness learning services /: analytics and awareness learning services. (2018)
- Main Title:
- Software data engineering for network eLearning environments : analytics and awareness learning services
- Further Information:
- Note: Santi Caballé, Jordi Conesa, editors.
- Editors:
- Caballe, Santi, 1967-
Conesa, Jordi - 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 FutureIntro; 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. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xvii, 228 pages), illustrations (some color)
- Subjects:
- 371.33/4
Engineering
Education -- Data processing
Educational technology
Software engineering
Cloud computing
Data mining
EDUCATION -- Administration -- General
EDUCATION -- Organizations & Institutions
Software engineering
Education -- Data processing
Cloud computing
Educational technology
Computers -- Database Management -- Data Mining
Data mining
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Engineering
Computational Intelligence
Data Mining and Knowledge Discovery
Electronic books - Languages:
- English
- ISBNs:
- 9783319683188
3319683187 - Related ISBNs:
- 9783319683171
3319683179 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed February 15, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.358199
- Ingest File:
- 02_339.xml