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Filippo Sciarrone <[log in to unmask]>
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Filippo Sciarrone <[log in to unmask]>
Sun, 18 Apr 2021 12:04:04 +0200
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(Apologies for multiple postings)

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

LA@IV2021 – 4th International Symposium on Learning Analytics

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

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

******************* 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

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

Information about the proposals' format:

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

- Scopus Indexed
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 


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
– 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

Please check the submission procedures @ the submission page.

General enquiries and submissions should be addressed to the Conference 

Symposium enquiries specific should be addressed to:

===Symposium Steering Committee=====

Tania Di Mascio, University of L’Aquila, Italy.  
Minoru Nakayama, Tokyo Inst. of Technology, Japan. 
Filippo Sciarrone, Sapienza University, Rome, Italy. 
Marco Temperini, Sapienza University, Rome, Italy. 

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

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