[Hcitaly] CFP Symposium on Learning Analytics, LA@IV2023, 25-28 July 2023, Tampere University, Finland

Dear colleague, we are organizing the 7th Int. Symposium Learning Analytics (LA@IV2023) http://iv.csites.fct.unl.pt/at/symposia/iv/la-learning-analytics/ co-located with the 27th Int. Conference Information Visualisation 25-28 July 2023 @ Tampere University, Finland https://iv.csites.fct.unl.pt/fi/ 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 papers accepted at the Symposium will be included in the conference proceedings. IMPORTANT DATES --------------- Submission of full papers: May 2, 2023 Notification of acceptance: May 20, 2023 Camera Ready: May 25, 2023 Early registration to IV2023: Jun 1, 2023 submission page: https://www.conftool.org/IV-cgiv-2023/index.php?page=newPaper&form_cont… (General submission page of the conference: https://www.conftool.org/IV-cgiv-2023/ *** look for "Learning Analytics" In the following you have the LA@IV2023 complete Call for Papers Thanks for reading, and best regards from the Symposium organizers! Dr. Marco Temperini Associate Professor DIAG - Sapienza University of Rome, Italy ******************************************************************* CALL FOR PAPERS *************** LA@IV2023 – 7th Int. Symposium Learning Analytics https://iv.csites.fct.unl.pt/fi/symposia/iv/la-learning-analytics/ in the 27th Int. Conference Information Visualisation 25-28 July 2023 @ Tampere University, Finland https://iv.csites.fct.unl.pt/fi/ IMPORTANT DATES --------------- Submission of full papers: May 2, 2023 Notification of acceptance: May 20, 2023 Camera Ready: May 25, 2023 Early registration to IV2023: Jun 1, 2023 submission page: https://www.conftool.org/IV-cgiv-2023/index.php?page=newPaper&form_cont… (General submission page of the conference: https://www.conftool.org/IV-cgiv-2023/ *** look for "Learning Analytics" Learning Analytics Themes and Topics ------------------------------------ Worldwide, the use of technology in all fields of education is at a historical high. The pandemic situation boosted 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-centered 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, theories, and practices. At this stage of its evolution, Learning Analytics requires transparency and an “easy to grasp” feeling, such as the visualization process of the educational data can produce. 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@iV2023 aims at bringing together researchers from a number of disciplines (e.g., Education, Computer Science and Artificial Intelligence in particular, Management, Psychology, Economics, CyberSecurity, 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, 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 interest 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 --- Symposium Steering Committee Tania Di Mascio, University of L’Aquila, Italy tania.dimascio((a))univaq.it Minoru Nakayama, Tokyo Inst. of Technology, Japan nakayama((a))ict.e.titech.ac.jp Filippo Sciarrone, Universitas Mercatorum, Italy filippo.sciarrone((a))unimercatorum.it Marco Temperini, Sapienza University, Rome, Italy marte((a))diag.uniroma1.it