Call for Chapters for a New Springer Book
Software Data Engineering for Network eLearning Environments: Analytics and Awareness Learning Services (A2LS Springer Book)
- 2-4 page proposal deadline: November 30, 2016
- Notification of proposal acceptance/rejection: January 15, 2017
- Full chapters submission deadline: June 30th, 2017
- Notification of acceptance/rejection: July 30h , 2017
- Camera-ready submission deadline: September 15, 2017
The book will be published by Springer. Book Series “Lecture Notes on Data Engineering and Communications Technologies” ** Indexing: The books of this series are submitted to ISI Proceedings, MetaPress, Springerlink **
- Santi Caballé. SMARTLEARN Research Group. Faculty of Computer Science, Multimedia and Telecommunications. Universitat Oberta de Catalunya. Barcelona, Spain. E-mail: firstname.lastname@example.org
- Jordi Conesa. SMARTLEARN Research Group. Faculty of Computer Science, Multimedia and Telecommunications. Universitat Oberta de Catalunya. Barcelona, Spain. E-mail: email@example.com
Data Analysis is a cornerstone of online learning environments. Since the first conception of e-learning and collaborative systems to support learning and teaching, data analysis has been employed to support learners, teachers, researchers, managers and policy makers with useful information on learning activities and learning design.
While data analysis originally employed mainly statistical techniques due to the modest amounts and varieties of data being gathered, with the rapid development of internet technologies and increasingly sophisticated online learning environments, increasing volumes and varieties of data are being generated and data analysis has moved to more complex analysis techniques such as educational data mining and, most recently, learning analytics.
Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data of various formats, and tracking user-system and user-user interactions as well as rich contextual information in such systems. This has led to the need to address the definition, modelling, development and deployment of sophisticated learning services offering analytics and context awareness information to all participants and stakeholders in online learning.
The book covers scientific and technical perspectives that will contribute to the advance of the state of the art and provide better understanding of the different problems and challenges of current e-Learning and general education. In particular, the book will address techniques and experiences in data analytics and context awareness in learning systems, driven by service-based architectures and cloud technologies.
The ultimate aim of this book is to stimulate research from both theoretical and practical views, which will allow other educational institutions and organizations to apply, evaluate and reproduce the book’s contributions. Industry and academic researchers, professionals and practitioners are invited to exchange their experiences and present their ideas in this field.
This edited volume follows the First International Workshop on Analytics & Awareness Learning Services (A2LS-2016) in conjunction with the 11th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2016), held in Asan, Korea, November 5-7, 2016. The theme of the Workshop A2LS-2016 and this edited volume is supported by the Spanish project ICT-FLAG (TIN2013-45303-P) funded by the Spanish Government. Web page of the WS A2LS-2016: http://smartlearn.uoc.edu/events/A2LS2016
This book seeks original contributions in all mentioned relevant areas, including but not limited to the following topics:
- Learning analytics services
- Awareness services for learners and teachers
- Analytics and awareness services for group learning
- Modelling knowledge domains, learner modelling
- Interaction analysis
- Event-based awareness services
- Event detection, processing and semantic enrichment
- Data querying, filtering, transformation, integration, visualisation
- Scalable data mining for analytics and awareness
- Services for large-scale text analysis and mining
- Description and composition of learning services
- Schema and metadata models for indexing services
- Services for metadata management, provenance, trust
- Analytics for Massive Open Online Courses (MOOCs)
- Cloud, P2P and Social Networking for learning services
- Emerging trends in learning analytics and awareness services
- Performance metrics, benchmarks and data sets
- Evaluation methodologies
Submission Procedure & Guidelines
Researchers and practitioners are invited to submit on or before November 30th, 2016, a 2-4 page manuscript proposal (Word or PDF) explaining the mission and concerns of the proposed chapter. All submitted chapter proposals will be reviewed by the editors of the book.
The edition of this book is partly funded by the Spanish Government through the project TIN2013-45303-P “ICT-FLAG” Enhancing ICT education through Formative assessment, Learning Analytics and Gamification.
Inquiries and submissions can be forwarded by e-mail to:
Dr. Santi Caballé (firstname.lastname@example.org)