Dr Srecko Joksimovic
Dr Srećko Joksimović is a research fellow at the University of South Australia, Adelaide, Australia, and a research assistant at the Learning Innovation and Networked Knowledge Research Lab at University of Texas, Arlington, United States. With the background in computer science, his research interests center on the analysis of teaching and learning in networked learning environments. His efforts include developing theory-driven data-informed analytics models for assessing the quality of learning in computer-mediated context, generating insights into factors that promote effective collaborative learning and informing the design of digital environments in which collaborative learning occur. Srećko is also an executive committee member and Website Portfolio Chair of the Society for Learning Analytics Research (SoLAR; http://www.solaresearch.org/).
Prof George Siemens
Professor George Siemens researches networks, analytics, wellbeing, and openness in education. He has delivered keynote addresses in more than 35 countries on the influence of technology and media on education, organizations, and society. His work has been profiled in provincial, national, and international newspapers (including NY Times), radio, and television. He has served as PI or Co-PI on grants totaling more than $15m, with funding from NSF, SSHRC (Canada), Intel, Bill & Melinda Gates Foundation, Boeing, and the Soros Foundation. He has served as a collaborator on international grants in European Union, Singapore, Australia, Senegal, Ghana, and UK. He has received numerous awards, including honorary doctorates from Universidad de San Martín de Porres and Fraser Valley University for his pioneering work in learning, technology, and networks. He holds an honorary professorship with University of Edinburgh. Professor Siemens is a founding President of the Society for Learning Analytics Research. He has advised government agencies in Australia, European Union, Canada and United States, as well as numerous international universities, on digital learning and utilizing learning analytics for assessing and evaluating productivity gains in the education sector and improving learner results. In 2008, he pioneered massive open online courses (sometimes referred to as MOOCs). He blogs at http://www.elearnspace.org/blog/ .
Prof Shane Dawson
Professor Shane Dawson’s research interests lie in the use of social network analysis and learner ICT interaction data to inform and benchmark teaching and learning quality. More recently he has been involved in research related to understanding academic leadership and analytics adoption processes. He is a co-developer of numerous open source software including the Online Video Annotations for Learning (OVAL); OnTask (personalised feedback tool); and SNAPP a social network visualization tool designed for teaching staff to better understand, identify and evaluate student learning, engagement, academic performance and creative capacity. Professor Dawson is a founding executive member of the Society for Learning Analytics Research and past program and conference chair of the International Learning Analytics and Knowledge conference.
Dr Vitomir Kovanovic
Dr Vitomir Kovanovic is a Research Fellow at the School of Education, University of South Australia and a Data Scientist at the Teaching Innovation Unit, University of South Australia. Vitomir obtained his Ph.D. in Informatics, at the University of Edinburgh, United Kingdom in 2017, under the supervision of Prof. Dragan Gaševic. His research focuses on the development of novel learning analytics systems using learners' trace data records collected by learning management systems with the goal of understanding and improving student learning. Vitomir is particularly interested in students' self-regulation of learning and understanding how trace data can be used to gain a deeper understanding of learning processes. At the moment, he also serves as an executive member of the Society for Learning Analytics Research (SoLAR) which is a leading research society focused on promotion and development of Learning Analytics field.