Assessing the effectiveness of a course design in higher education is an almost unfeasible task. The practical inability to conduct randomised controlled trials in a natural setting limits teachers who want to interpret their design choices to non causal evaluation. With at least a moderate amount of common sense these evaluations could be useful in gathering insight into what works and what does not work in education. In our blended learning course we wanted to assess the role of formative assessment while also taking lecture attendance into account. There are certainly many confounds for which we cannot control. We found no effect of lecture attendance but formative assessments did predict a substantial amount of course outcome. This was probably due to not including the formative performance in the final grading and our emphasis in the course that to err is to be student. The validity of the formative assessment paves the way for diagnostic use and remedial teaching. In this talk Sharon will discuss the effectiveness of remediation within the course Scientific and Statistical Reasoning and the role of descriptive learning analytics in providing diagnostic information.
Sharon Klinkenberg is a senior lecturer at the University of Amsterdam, department of Psychology. His teaching is mainly focussed on statistics and Psychological methods. Sharon is an educational innovator at the forefront of educational technology. Specialised in digital assessment, he integrates formative and summative assessment in order to personalize large scale education. His research is focussed on the validity and reliability of adaptive assessment methods and the effectiveness of blended learning interventions.