Learning & Student Analytics Conference (LSAC) 2018

Dr. Gábor Kismihók,TIB HannoverAlan BergandDr. Stefan T. Mol,University of AmsterdamDr. Ilja Cornelisz andDr. Chris van Klaveren,Vrije Universiteit Amsterdam-Amsterdam Center for Learning AnalyticsProf. Anne Boyer,University of LorraineProf. Dr. Anwar Osseyran,SURFwww.lsac2018.org

LSAC2018 Organising and Programme committee

The aim of the Learning & Student Analytics Conference (LSAC) 2018 is to bring together researchers and practitioners from a number of disciplines (e.g. education, artificial technology, computer science, management, psychology, economics, IT security), organisational and national policy makers, educational practitioners, students, and employers, to share and discuss the latest research insights related to Learning Analytics. The conference further provides a platform for stakeholders to engage in critical conversations about current trends and policy requirements.  This year the conference programme will give particular attention to learning practices, emerging themes, and case studies centered around Artificial Intelligence (AI). Therefore academics and practitioners alike, who are interested in topics such as self-regulated learning, the incorporation into the domain of learning analytics of novel data sources (e.g., job market data or social media), privacy and ethics, and data security, should consider submitting an abstract and attending this event.  
The conference aim at stimulating discussion on these timely topics to discuss LA applications aiming to visualise learning activities, access learning behaviour, predict student performance, individualize learning, evaluate social learning and improve learning materials and tools. 
More information and call for abstracts and hackathon contributions:  <A HREF="http://lsac2018.org/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.lsac2018.org</A>

University of Amsterdam

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Learning & Student Analytics Conference (LSAC) 2018

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