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[edm-announce] Fwd: cfp: LA@IV2021 – 4th International Symposium on Learning Analytics (deadline extended)

  • From: Stephen Fancsali <sfancsali@xxxxxxxxx>
  • To: edm-announce@xxxxxxxxxxxxx
  • Date: Mon, 19 Apr 2021 10:26:23 -0400

[on behalf of Filippo Sciarrone]

(Apologies for multiple postings)

****** CALL FOR PAPERS ************************

LA@IV2021 – 4th International Symposium on Learning Analytics

https://iv.csites.fct.unl.pt/au/symposia/iv/la-learning-analytics/

Symposium co-located at IV2021: the 25th International Conference on
Information Visualisation

https://iv.csites.fct.unl.pt/au/

ONLINE- 5-16 July 2021 @ University of Technology Sydney (UTS),
Australia

******************* IMPORTANT
DATES***************************************
Submission of full papers:         April 25, 2021 (extended deadline)
Notification of acceptance:        May 5, 2021
Camera Ready, and earky registration registration:    May 15, 2021
***********************************************************************************

******SUBMISSIONS***********************
Submit your full paper in the Submission Track IV2021 ConfTool
Conference Administration

https://www.conftool.org/IV-cgiv-2021/index.php?page=login

Information about the proposals’ format:

– Full Paper (6 pages IEEE format)
– Short Paper (3 pages IEEE format)
– Poster

*********************************************
– Scopus Indexed
**************AIMS***************
LA@IV2021 – 4th International Symposium on Learning Analytics

Worldwide, the use of technology in all fields of education is at a
historical high. Unwillingly, the covid-19 is boosting the growth of
education in the online context: online learning is becoming an
essential part of the educational landscape.

Learning analytics has always been a measurement of data about learners
and their contexts for understanding and optimizing learning and the
environments in which it occurs. It is a combination of educational
research, assessment sciences, statistics, visualization, data sciences,
artificial intelligence and socio-technical system thinking for
human-centred design.

Educational concepts and practices can be enhanced, and put on trial, by
means of theories and techniques of Learning Analytics. Learning
Analytics can support educational practices to reach better results, in
any learning context, from traditional learning, in less technological
areas, to personalized and adaptive e-learning, extending its usefulness
to social-wide learning-on-demand applications.

In order to perform and develop Learning Analytics, current data science
and intelligent systems should be introduced in addition to the
conventional instruction/learning systems, theory and practices. The
current Learning Analytics approach requires transparency and visually
comprehensive progress such as the visualization process for the
educational data produced by learners.
Information visualization has also been studying to establish sufficient
systems for various research areas. The interaction between Learning
Analytics and Information Visualization may produce a new concept of
educational innovation.

The Learning Analytics Symposium within the Information Visualization
Conference LA@IV2021 aims at bringing together researchers from a number
of disciplines (e.g., education, artificial intelligence, computer
science, management, psychology, ergonomics, economics, IT security, and
data governance), practitioners, students, policymakers and companies to
share and discuss the latest research insights related to Learning
Analytics and its interaction with Information Visualization.
Therefore, academics and practitioners alike, who are interested in such
topics should consider submitting their research work and attending this
event.

===============Topics============================

The topics of interests include but are not limited to:

Learning & Teaching tracking

– Temporal Analysis of Learning Data
– Tool for quality assurance and quality improvement
– Tool for boosting retention rate
– Tool for adaptive learning
– Tool to improve teaching quality

Learning strategies
– Self-regulated learning
– Instructional designs
– Peer support & assessment
– Collaborative learning
– Team-based learning
– Generic skills / Key competence
– Literacy development / assessment
– Cultural difference

Evaluation theories and techniques
– Test theory
– Item Response Theory
– Learning activities
– Performance assessment
– Motivation assessment
– Self Efficacy
– Conceptual mapping
– Portfolio
– Educational indicators

Technical infrastructures and platforms
– E-Learning
– M-Learning
– E-testing system
– Distanced learning / Distributed learning
– Game Based Learning / Gamification
– MOOCs
– Personalized and Adaptive Learning
– Learning analytics warehouse
– Learning analytics processor
– Alert and intervention system
– Data Science for LA
– Machine & Deep-learning for Learning and Teaching Analytics
– Teaching / Learning quality management

Issues in Data-Based Educational Theories and models
– Educational Data Model
– Educational Data Mining
– Automate assessment
– Automate Essay / Report assessment
– Prediction of learning performance
– Educational Database / Datashare
– Data-based methodology for research in education
– Ethics and privacy in learning analytic

Educational Practices
– Educational management
– Educational development
– Educational policy
– Course assessment
– Educational Evaluation Development
– Cost-Benefit for learning system
– Implementation of technology-enhanced learning

General enquiries and submissions should be addressed to the Conference
Co-ordinator

Symposium enquiries specific should be addressed to:

=============Symposium Steering Committee===================

Tania Di Mascio, University of L’Aquila, Italy.
tania.dimascio(@)univaq.it
Minoru Nakayama, Tokyo Inst. of Technology, Japan.
nakayama(@)ict.e.titech.ac.jp
Filippo Sciarrone, Sapienza University, Rome, Italy.
sciarro(@)ing.uniroma3.it
Marco Temperini, Sapienza University, Rome, Italy.
marte(@)diag.uniroma1.it

— 
_______________________________________________
Dr. Filippo Sciarrone, Ph.D.
Roma Tre University
Department of Engineering
Via della Vasca Navale, 70 00146 Roma

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