In the Innovation Rooms of the Leiden-Delft-Erasmus Centre for Education and Learning researchers, teachers, teacher trainers, educational designers and policymakers share new insights and practises in the field of higher education teaching and learning.
Venue: Teaching Lab (IDE Square, Delft University of Technology)
This time we would like to share latest research, expertise and experiences in the field of Analyzing Data about student’s behaviour, performance and results. What can we learn; how can we optimize the learning environment to help students perform better? And what students engagement can be distilled out of analysing educational datasets?
Learning and Academic analytics have been eminent topics in the last couple of years. The field of Academic Analytics can help institutions to address student success and accountability. On the other hand, the field of Learning Analytics offer tools and technologies that provide a rich atmosphere to do proper interventions and improve education in general. Both fields are outlined by their goals in improving the whole learning process and the environment by which learning takes place. In the 10th Innovation Room, we are delighted to invite experts who will catch you up with the latest insights on both Learning Analytics and Academic Analytics. This event will take place at the new building of the Teaching Lab at TUDelft. The program will start at 9 AM and will end with a lunch at 1 PM.
The Keynote speaker will be Prof.dr.ir. Tinne de Laet, furthermore we invited some experts in the field who will catch you up with the latest insights:
Tinne de Laet: Learning analytics for online and on-campus education: Experience and research
Tinne De Laet is an expert in education and the transition from secondary to higher education in particular. She is a practitioner who manages a team of student counsellors and tutors. Tinne has a managing role within the Student Counselling and Tutorial Service of Engineering Science, providing her with first-hand experience on the transition from secondary to higher education.
She is chair of the Leuven engineering and science education center (LESEC). She is currently managing two Erasmus+ project on learning analytics.
Maartje van den Boogaard: Learning Analytics Failathon: we show you the mistakes we (and others) made, so you don’t have to!
Maartje van den Bogaard is an adviser and researcher in the area of student success. She also gives workshops on education design, active learning and applications of IT in education. Maartje joined ICLON in 2014. Before that, she served as education coordinator and lecturer at Delft University of Technology. Between 2009 and 2014 she worked on her PhD project on first-year engineering student success.
Maartje holds a master degree in education science from the University of Groningen, with majors in curriculum studies and education consultancy and management, and a minor in comparative education.
Her dissertation is called Action-oriented models for student success in higher education. In this research she developed action-oriented models for first-year engineering student success, explicitly intended to create a link between research and practice. She made several models that show the complexity of the issues concerning student success. Maartje was awarded the Outstanding Dissertation Award by the International Society for Educational Planning in October 2015.
Nynke Bos: Opportunities and Challenges in Using Learning Analytics in Learning Design.
Nynke joined ICLON in 2016. Her area of expertise is educational design and evaluation of online/hybrid learning environments. Previously Nynke worked for the University of Amsterdam as a team leader Blended Learning and educational researcher for both the Faculty of Medicine and the Faculty of Humanities.
Nynke holds two master degrees: psychology and educational sciences (with honor). In 2016 she obtained her PhD entitled Effectiveness of Blended Learning - Factors Facilitating Effective Behavior in a blended learning environment. In this research Nynke established user profiles based on the use of the different learning resources throughout the course. The research tried to determine causes for these differences and determined if these differences have an effect on course performance. She used learning analytics (educational big data) to determine trends and patterns in a big data set. Her expertise lies in quantitative research and advanced statistical techniques.
Mohammad Khalil: Learning analytics potential in understanding student interaction in MOOCs.
Mohammad Khalil is a Postdoc working in the LDE Center for Education and Learning. His research interests include Learning Analytics, educational data, visualizations and their applications in the fields of Technology Enhanced Learning in general and Massive Open Online Courses (MOOCs) in particular. Mohammad has recently got his PhD degree from the Graz University of Technology in Austria. He has over 22 peer-reviewed publications in international conferences and academic journals. Mohammad has served as a co-chair of the European Conference on MOOCs in 2016 and as one of the organizers of the next EMOOCs2018 conference in Delft.
Time Table
9.00 Welcome
9.15 Key Note Speech by Prof. dr. ir. Tinne de Laet (KU Leuven)
10.15 Break
10.30 Parallel session
- Dr. Nynke Bos
- Dr. Mohammad Khalil
11.15 Dr. Maartje van den Boogaard
12.30 Closing
12.45 – 13.45 Lunch & Discussion