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From:
Marco Temperini <[log in to unmask]>
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Date:
Tue, 19 Feb 2019 18:21:57 +0100
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Dear colleague,
in 2019 we are organizing the 2nd International Symposium on Learning 
Analytics
http://iv.csites.fct.unl.pt/fr/symposia/iv/la-learning-analytics/

co-located with the 23rd International Conference Information 
Visualisation, July 2-5, 2019, Paris, France, 
http://iv.csites.fct.unl.pt/fr/

We hope you will be interested in the topics of our Symposium, and we 
would be very happy if you liked the idea of submitting a paper.

The preliminary deadline for submission is March 14th 2019; please have 
a look at the submission procedures @ 
http://iv.csites.fct.unl.pt/fr/submission/paper/
(Important dates are duly updated there)

Thanks for reading,
and best regards from the Symposium organizers
Tania Di Mascio,
Filippo Sciarrone
Marco Temperini, writing




---------------------------------------------------------------------
2nd International Symposium Learning Analytics
http://iv.csites.fct.unl.pt/fr/symposia/iv/la-learning-analytics/

in the
23rd International Conference Information Visualisation, July 2-5, 2019, 
Paris, France
http://iv.csites.fct.unl.pt/fr/

------

Learning Analytics refers to the measurement, collection, analysis and 
reporting of data on the progress of learners and the micro and macro 
contexts of learning environment. It uses the data collected from the 
digital footprint of the learner and applies bigdata concepts to 
understand the influencing factors that affects learners whether it is 
educational policy and strategy, or it relates to the micro level module 
contents and its delivery. This has potential to support designing data 
and fact-based policy both for campus based and online delivery.

Through Learning Analytics, it is possible to provide tailor-made 
learning and teaching for a specific group. It can lead to reduce 
disparity of standard within different systems and optimise the 
resources required to achieve required standards. Learning Analytics can 
support the prediction of outcome and guide early intervention to 
boosting retention rates. It will make significant contribution for 
quality assurance.

When combined with refined visualization tools and suitable interfaces 
in an e-learning system, the use of Learning Analytics fosters a 
student-centred approach, supports self-regulated learning, and 
eventually helps learners (and teachers) along the road to educational 
success. This research area is witnessing swift developments since 
several years, and this Symposium aims to gather contributions to allow 
for exchange and further advancements. Technology Enhanced Learning 
advocates are invited to submit their original research work involving 
the use of Learning Analytics in education.The topics of interests 
include but are not limited to:

Learning & Teaching tracking
     - Temporal Analyses of Learning Data
     - Tool for quality assurance and quality improvement
     - Tool for boosting retention rate
     - Tool for adaptive learning
     - Tool to improve quality of teaching

Technical infrastructure
     - E-Learning
     - M-Learning
     - Game Based Learning
     - Personalized and Adaptive Learning
     - Learning analytics warehouse
     - Learning analytics processor
     - Alert and intervention system
     - Dashboards, and a student app
     - Machine & Deep-learning Analytics

Issues in Data Based Educational Theories and models
     - Educational Data Model
     - Data-based methodology for research in education
     - Ethics and privacy in learning analytic

Please check the submission procedures @ 
http://iv.csites.fct.unl.pt/fr/submission/paper/

Symposium Organizers

- Marco Temperini
Sapienza University, Rome, IT
marte (@) diag.uniroma1.it

- Tania Di Mascio
University of L’Aquila, IT
tania.dimascio (@)univaq.it

- Filippo Sciarrone
Sapienza University, Rome, IT
sciarro (@)ing.uniroma3.it
---------------------------------------------------------------------



-- 
Dr. Marco Temperini
Associate Professor
Dept. of Computer, Control and Management Engineering
Sapienza University, Rome, Italy







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2nd International Symposium Learning Analytics http://iv.csites.fct.unl.pt/fr/symposia/iv/la-learning-analytics/ in the 23rd International Conference Information Visualisation, July 2-5, 2019, Paris, France http://iv.csites.fct.unl.pt/fr/ ------ Learning Analytics refers to the measurement, collection, analysis and reporting of data on the progress of learners and the micro and macro contexts of learning environment. It uses the data collected from the digital footprint of the learner and applies bigdata concepts to understand the influencing factors that affects learners whether it is educational policy and strategy, or it relates to the micro level module contents and its delivery. This has potential to support designing data and fact-based policy both for campus based and online delivery. Through Learning Analytics, it is possible to provide tailor-made learning and teaching for a specific group. It can lead to reduce disparity of standard within different systems and optimise the resources required to achieve required standards. Learning Analytics can support the prediction of outcome and guide early intervention to boosting retention rates. It will make significant contribution for quality assurance. When combined with refined visualization tools and suitable interfaces in an e-learning system, the use of Learning Analytics fosters a student-centred approach, supports self-regulated learning, and eventually helps learners (and teachers) along the road to educational success. This research area is witnessing swift developments since several years, and this Symposium aims to gather contributions to allow for exchange and further advancements. Technology Enhanced Learning advocates are invited to submit their original research work involving the use of Learning Analytics in education.The topics of interests include but are not limited to: Learning & Teaching tracking  - Temporal Analyses of Learning Data  - Tool for quality assurance and quality improvement  - Tool for boosting retention rate  - Tool for adaptive learning  - Tool to improve quality of teaching Technical infrastructure  - E-Learning  - M-Learning  - Game Based Learning  - Personalized and Adaptive Learning  - Learning analytics warehouse  - Learning analytics processor  - Alert and intervention system  - Dashboards, and a student app  - Machine & Deep-learning Analytics Issues in Data Based Educational Theories and models  - Educational Data Model  - Data-based methodology for research in education  - Ethics and privacy in learning analytic   Please check the submission procedures @ the submission page: http://iv.csites.fct.unl.pt/fr/submission/paper/ Symposium Organizers - Marco Temperini Sapienza University, Rome, IT marte (@) diag.uniroma1.it - Tania Di Mascio University of L’Aquila, IT tania.dimascio (@)univaq.it - Filippo Sciarrone Sapienza University, Rome, IT sciarro (@)ing.uniroma3.it     ---------------------------------------------------------------     For news of CHI books, courses & software, join CHI-RESOURCES      mailto: [log in to unmask]     To unsubscribe from CHI-ANNOUNCEMENTS send an email to      mailto:[log in to unmask]     For further details of CHI lists see http://listserv.acm.org     ---------------------------------------------------------------

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