LA – Learning Analytics

LA@IV2022 – 5th  International Symposium 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.

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@iV2022 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, we welcome submissions from both research and practice, encompassing different theoretical, methodological, and both empirical and technical contributions to the learning analytics field. Academics and practitioners, 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 Analytics and AI

  • AI for Education [Learning, Teaching, Intelligent Assessment and Feedback]
  • AI-supported educational resources
  • AI virtual personal assistants

Learning & Teaching tracking

  • Temporal Analysis of Learning Data
  • Tools for quality assurance and quality improvement
  • Tools for boosting retention rate
  • Tools for adaptive learning
  • Tools to improve teaching quality
  • Emotional and expression for cognitive condition learning
  • Learning activity and eye movements
  • Learning activity and behavioural / bio signals

Learning Analytics for Education

  • Data Science for Education: open data, big data
  • Machine and Deep Learning for Education
  • Educational Data Mining
  • Platforms and Tools for Educational Data
  • Analytics for Teaching and learning methodologies supporting departments and schools  for education

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
  • Essay document text analysis
  • Motivation assessment
  • Self Efficacy
  • Conceptual mapping
  • Portfolio
  • Educational indicators
  • Game Based Learning / Gamification

Technical infrastructures and platforms for Learning Analytics

  • E-Learning
  • M-Learning
  • Platforms for MOOCs management
  • Personalised and Adaptive Learning systems
  • Learning analytics warehouse
  • Data Science platforms for Learning Analytics

Issues in Data-Driven Educational Theories and models

  • Automate assessment
  • Automate Essay / Report assessment
  • Prediction of learning performance and engagement
  • Educational Database / Datashare
  • Ethics and privacy in learning analytics

Please check the submission procedures @ the submission page.

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

Post Conference publication: LA@IV2022 – 5th International Symposium on Learning Analytics – scheduled special issue in the Journal of Learning Analytics:; If you are interested, please get in touch with Lead coordinator: Prof Filippo Sciarrone <>

LA Facebook page:

Important Dates
_ Submission: 31 May 2022
– Notification: 15 June 2022
– Camera ready: 25th June 2022

Symposium Steering Committee
Tania Di Mascio, University of L’Aquila, Italy tania.dimascio(@)
Minoru Nakayama, Tokyo Inst. of Technology, Japan nakayama(@)
Filippo Sciarrone, Universitas Mercatorum, Italy filippo.sciarrone(@)
Marco Temperini, Sapienza University, Rome, Italy marte(@)