RT Journal Article
T1 Measuring Procedural Knowledge in Problem Solving Environments with Item Response Theory
A1 Hernando, Manuel
A1 Guzmán-de-los-Riscos, Eduardo Francisco
A1 Conejo-Muñoz, Ricardo José
K1 Resolución de problemas - Proceso de datos
AB In this paper, a new data-driven model to measure procedural knowledge is described. The model is based on Item Response Theory. The main idea behind this new model is to establish an analogy between the testing and the problem solving environment. For this purpose, we model each problem (or exercise) solution path as a directed graph where nodes are states of the problem and edges, transitions between states (i.e. the actions accomplished by the student). We can match this model with testing by seeing each node as a question and each edge as choices within the questions.
PB Springer
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5646
UL http://hdl.handle.net/10630/5646
LA eng
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026