Are you an educational scientist with an interest in technology-enhanced learning? We are looking for an experienced assistant or associate professor to strengthen our research and teaching in this area. Are you an expert in how adaptive learning technologies affect student learning? Do you have an interest in self-regulated learning and can you take individual differences among students into account? Then come join us!We are looking for an assistant or associate professor with rich experience in adaptive learning technologies applied to the domain of primary, secondary and vocational education. The ideal candidate has a profound understanding of how technology impacts student learning and is investigating how data, learning analytics and artificial intelligence can improve education. Additional knowledge related to self-regulated and socially shared regulated learning would be an asset for this position. An equal amount of your academic time will be allocated to teaching (50%) and research (50%).
As a lecturer, you will contribute to both introductory and more specialist courses in our Pedagogical and Educational Sciences curriculum at the Bachelor's and Master's degree levels. Furthermore you will supervise students during their internships and thesis research. You will be teaching courses such as 'The learning environment' and the interdisciplinary course 'New Media Lab' in which educational science students collaborate with students from the artificial intelligence programme in developing innovative educational applications. Your coursework requires a variety of student-centred teaching strategies. In addition, you will coordinate courses, improve them based on student evaluations, and contribute to the development of the curriculum and the management of the teaching institute.
As a researcher, you should have experience in and in-depth knowledge of research on the use of technology in education. Your line of research should match the core themes of the
Learning and Plasticity research programme of the Behavioural Science Institute. Members of this group conduct fundamental and applied research on individual differences in learning and development, with a focus on typically developing groups and samples with an atypical development.
You will work closely together with researchers from the
Adaptive Learning Lab led by Dr Inge Molenaar. With technology increasingly gaining more data and intelligence, a new era of human-technology interaction is emerging. In this setting, interactions between students, teachers and technology are becoming increasingly complex and there is a need to foreground the systematic complexity of human-technology interaction in education. In interdisciplinary research, this lab investigates innovative adaptive learning technologies and novel applications of artificial intelligence in education in close collaboration with the
National AI Education Lab (NOLAI). An important element of this research focuses on the use of artificial intelligence to measure and support self-regulated learning (
FLORA and
CELLA). New measurement approaches and different forms of support are designed, developed and investigated, such as personalised scaffolds and dashboards. Do you want to work for a university, teaching programme and research institute that are of social significance? Then we look forward to your application.