|Daniele||Di Mitri||Germany (CET)||DIPF | Leibniz Institute for Research and Information in Education|
|Alan||Berg||The Netherlands (CET)||University of Amsterdam|
|Gábor||Kismihók||Germany (CET)||Leibniz Information Centre for Science and Technology|
|José||Ruipérez-Valiente||Spain (CET)||University of Murcia|
|Kirsty||Kitto||Australia (PST)||University of Technology Sydney|
|Jan||Schneider||Germany (CET)||DIPF | Leibniz Institute for Research and Information in Education|
|Atezaz||Ahmad||Germany (CET)||DIPF | Leibniz Institute for Research and Information in Education|
|Stefan||Mol||The Netherlands (CET)||Amsterdam Business School, University of Amsterdam|
Daniele Di Mitri
Daniele Di Mitri is Research Group Leader at EduTec group at DIPF Leibniz Institute for Research and Information in Education. Previously postdoctoral researcher in Artificial Intelligence at the Centre of Actionable Research of The Open University CAROU. Daniele holds a BSc degree in Computer Science from the University “Aldo Moro” of Bari (2014) and an MSc degree in Artificial Intelligence from Maastricht University (2016). His background encompasses a set of diverse experiences. At the age of 19, Daniele founded Dimstudio, web development company. He was activist and member of the board of two European NGOs active in the field of lifelong learning and education. In 2015, he took part in the Extreme Blue excellence research programme at IBM Amsterdam. Daniele received his PhD title at the OUNL (2016-2020) in Learning Analytics and Wearable Sensors Support. His PhD project, the Multimodal Tutor, investigates the potentials of collecting and analysing multimodal during physical interactions for automatic feedback and human behaviour analysis. He received the Martin Wolpers Award as best PhD project in the field of Technology-Enhanced Learning 2018. In his PhD took part in different European projects as LACE, WEKIT, SafePAT. He is member of the CrossMMLA Special Interest Group of the Society of Learning Analytics Research and he is the chair of the Learning Analytics Hackathon (LAKathon) series. He is part of the programme committee of AIED, LAK, EC-TEL, jTELSS and reviews for various educational technology journals such as JCAL, ICALT, IJAIED, JLA, BJET.
Is a postdoc of knowledge management at the Leadership and Management Section of the Amsterdam Business School of the University of Amsterdam, the Netherlands. His research focuses on the bridge between education and the labour market and entails topics such as learning analytics or vacancy mining and analysis.
Kirsty Kitto works in the Connected Intelligence Centre (CIC) at UTS, where she uses data to help people navigate an increasingly connected world. She is currently leading a project funded by the Australian government which is developing xAPI based solutions for instructors who want to teach “in the wild” beyond the LMS, and a grant funded by Graduate Careers Australia which is seeking to use xAPI to use learning analytics to help university students work towards developing evidence about their skills and capabilities in a chosen career.
Stefan Mol is an assistant professor in Organizational Behavior and Research Methods at the Amsterdam Business School of the University of Amsterdam and co-founder and board member of the Scilink foundation. He received his Master’s degree in psychology at the University of Amsterdam in 2000, and his PhD in psychology in 2007, at the Institute of Psychology of the Erasmus University Rotterdam. His research collaborations have appeared in the Asian Journal of Social Psychology (2003), the European Journal of Work and Organizational Psychology (2013), Human Performance (2009), IEEE Transactions on Emerging Topics in Computing (2015), the International Journal of Intercultural Relations (2005), the International Journal of Knowledge and Learning (2012), the International Journal of Manpower, the International Journal of Selection and Assessment (2009), the Journal of Cross-Cultural Psychology (2005; 2016), the Journal of Global Mobility (2013), the Journal of Learning Analytics (2014; 2016), the Journal of Vocational behavior (2017), Organizational Research Methods (2018; 2018), the South African Journal of Industrial Psychology, and several handbooks. In addition, Stefan was/is involved in the EU-Funded Leonardo da Vinci Ontohr (see www.ontohr.eu), Med-Assess (see www.med-assess.eu), Ontotech (see www.ontotech.eu) and Nursing AI projects. From 2013-2017 Stefan served on the Board of Management and Supervisory Board of the FP7 Marie Curie Initial Training Network (ITN) Eduworks (see http://www.eduworks-network.eu) a project aimed at the socio-economic and psychological dynamics of labour supply and demand matching processes at aggregated and disaggregated levels. Finally, Stefan was involved in the coordination of university wide project aimed at establishing Learning Analytics at the University of Amsterdam from 2013-2016, and its successor from 2017-2018.
Dr. Jan is a postdoctoral researcher at the Educational Technologies group of the DIPF. He started his career as a researcher on 2008 working as a Human Computer Interaction researcher the Expertise Centre for Digital Media at Hasselt University in Belgium. There he worked for several research projects in the areas of Multi-Touch and mobile interactions. On December 2017 he received his PhD from the Open University of the Netherlands on the topic of “Sensor based Learning support”. During his PhD he worked on two European projects (Metalogue and Wekit) and his developed research prototypes got awarded in three different international conferences (EC-TEL 2014, EC-TEL 2015, ICMI 2015). His current research focus is in the area of Multimodal Learning Analytics (MMLA), where he is investigating the creation of generic frameworks and solutions designed to support the learning process with the use of Multimodal Data.
Alan Mark Berg, BSc, MSc, PGCE, has been the lead developer at Central Computer Services at the University of Amsterdam since 1998. In his famously scarce spare time, he writes, consults and is currently a PhD candidate in Learning Analytics. Alan has a bachelor’s degree, two master’s degrees, a teaching qualification, and quality assurance certifications. He has also coauthored two Packt Publishing books about Sakai (http://sakaiproject.org), a highly successful open source learning management platform used by millions of students around the world. Alan has also written two Books on continuous delivery. He has won a couple of awards, including the Sakai Fellowship and Teaching With Sakai Innovation Award (TWSIA).
Alan enjoys working with talent; this forces him to improve his own competencies. This motivation is why Alan enjoys working in energetic, open source communities of interest and with researchers in the field of LA. At the time of writing, he is on the board of directors of the Apereo Foundation.
Alan has supported six hackathons over the last years, including events at LAK15 and LAK16. He has helped structure the hackathons and delivered scalable synthetic data generation for Learning Record Stores via open-source software. He wishes to provide continuation and support to the next generation of organizers and participants.
José A. Ruipérez-Valiente
José A. Ruipérez-Valiente completed his PhD at Universidad Carlos III of Madrid while conducting research at Institute IMDEA Networks in the area of learning analytics and educational data mining. During this time, he completed two research stays of three months each, the first one at MIT and the second one at the University of Edinburgh. He has published more than 40 scientific publications in journals and conferences related to his area of research and has received more than a dozen awards. He has also held industry appointments at Vocento, Accenture and ExoClick, combining experience in academia, research institutions and business companies. He completed his postdoc at the CMS/W department of MIT and he is currently a senior researcher at the University of Murcia. His research focuses in applying data science to large scale free online courses and to game-based environments where he tries to use data to improve learning by enhancing human knowledge on how we learn. You can read more about his work at http://joseruiperez.me/.