LA – Learning Analytics

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.

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

Please check the submission procedures @ the submission page.

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