My name is Sebastiaan de Klerk, I am a senior researcher at Cito. My main research interests are educational assessment, educational technology, psychometrics, data science, and innovative assessment methods. My full cv can be downloaded through this link: download my cv.
PhD in Educational Assessment, 2016
University of Twente
MSc. (Res) Psychology, 2010
University of Amsterdam
BSc in Psychology, 2008
University of Amsterdam
Research, data science, and innovation on educational assessment, test development, and test analysis
Responsibilities include:
Research, data science, and innovation on educational assessment, test development, and test analysis
Responsibilities include:
Research, data science, and innovation on educational assessment, test development, and test analysis
Responsibilities included:
PhD research on the use of multimedia within computer-based performance assessment in vocational education
Responsibilities included:
Een project waarin we de relatie tussen type device en de vergelijkbaarheid van toetsscores onderzoeken
A project on the registration of carp catches at Simavis lake
Serious games are increasingly being explored for use as assessment tools in broad domains. Drawing from research in these domains, we present important advantages and challenges that arise when using games for assessment. In light of this context and as an introduction to this special issue on Serious Games and Assessments, we introduce the experts’ contributions on using games for processes integrating agile game development approaches with psychometric validation processes and designing and developing games for formative assessments.
Researchers have shown in multiple studies that simulations and games can be effective and powerful tools for learning and instruction (cf. Mitchell & Savill-Smith, 2004; Kirriemuir & McFarlane, 2004). Most of these studies deploy a traditional pretest-posttest design in which students usually do a paper-based test (pretest) then play the simulation or game and subsequently do a second paper-based test (posttest). Pretest-posttest designs treat the game as a black box in which something occurs that influences subsequent performance on the posttest (Buckley, Gobert, Horwitz, & O'Dwyer, 2010). Less research has been done in which game play product data or process data itself are used as indicators of student proficiency in some area. However, the last decade researchers have started focusing on what is happening inside the black box to an increasing extent and the literature on the topic is growing. To our knowledge, no systematic reviews have been published that investigate the psychometric analysis of performance data of simulation-based assessment (SBA) and game-based assessment (GBA). Therefore, in Part I of this article, a systematic review on the psychometric analysis of the performance data of SBA is presented. The main question addressed in this review is: ‘What psychometric strategies or models for treating and analyzing performance data from simulations and games are documented in scientific literature?’. Then, in Part II of this article, the findings of our review are further illustrated by presenting an empirical example of the e according to our review e most applied psychometric model for the analysis of the performance data of SBA, which is the Bayesian network. Both the results from Part I and Part II assist future research into the use of simulations and games as assessment instruments.