2015/04/03 by Jürgen Heller, Luca Stefanutti, Pasquale Anselmi +1 · 19 citations
Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Cognitive Science and Mapping #AI-based Problem Solving and Planning
paper · doi:10.1007/s11336-015-9457-x
The present work explores the connections between cognitive diagnostic models (CDM) and knowledge space theory (KST) and shows that these two quite distinct approaches overlap. It is proved that in fact the Multiple Strategy DINA (Deterministic Input Noisy AND-gate) model and the CBLIM, a competence-based extension of the basic local independence model (BLIM), are equivalent. To demonstrate the benefits that arise from integrating the two theoretical perspectives, it is shown that a fairly complete picture on the identifiability of these models emerges by combining results from both camps. The impact of the results is illustrated by an empirical example, and topics for further research are pointed out.