Within the framework of knowledge space theory, a probabilistic skill multimap model for assessing learning processes is proposed. The learning process of a student is modeled as a function of the interaction between his competence state and the effect of a learning object on specific skills. Model parameters are initial probabilities of the skills, effects of learning objects on gaining and losing the skills, careless error, and lucky guess probabilities of the problems. A simulation study assessed model identifiability and goodness-of-recovery under several conditions. Practi- cal implications of using the model are discussed, and the MATLAB code for simulating, estimating and testing it is available in the Psychonomic Society supplementa...
In recent years, student modeling has been extended from predicting future student performance on th...
The objective of this research is to find a more efficient way for predicting skill acquisition requ...
AbstractThis paper reports developments in a mathematical model of cognitive learning. The model des...
Within the theoretical framework of knowledge space theory, a probabilistic skill multimap model for...
The Gain-Loss Model is a probabilistic skill multimap model for assessing learning processes. In pra...
Unlike the summative assessment, that points to grade the learning outcome of a student, the formati...
The Gain-Loss Model (GaLoM) is a probabilistic skill multimap model for assessing learning processes...
The thesis presents the Gain-Loss Model, a formal model for assessing learning processes. The theore...
The gain-loss model (GaLoM) is a formal model for assessing knowledge and learning. In its original ...
intensity of forgetting, knowledge flow, learning flow, open and closed model of knowledge dynamics,...
Students who wish to learn a specific skill have increasing access to a growing number of online cou...
Computational models of learning and the theories they represent are often validated by calibrating ...
Building intelligent tutoring systems (ITSs) that are aware of the students’ misconceptions has been...
Chapter 1: Cognitive diagnosis models (CDMs) are restricted latent class models designed to assess t...
Stefanutti (2019) recently developed procedures and a related theory for deriving learning spaces fr...
In recent years, student modeling has been extended from predicting future student performance on th...
The objective of this research is to find a more efficient way for predicting skill acquisition requ...
AbstractThis paper reports developments in a mathematical model of cognitive learning. The model des...
Within the theoretical framework of knowledge space theory, a probabilistic skill multimap model for...
The Gain-Loss Model is a probabilistic skill multimap model for assessing learning processes. In pra...
Unlike the summative assessment, that points to grade the learning outcome of a student, the formati...
The Gain-Loss Model (GaLoM) is a probabilistic skill multimap model for assessing learning processes...
The thesis presents the Gain-Loss Model, a formal model for assessing learning processes. The theore...
The gain-loss model (GaLoM) is a formal model for assessing knowledge and learning. In its original ...
intensity of forgetting, knowledge flow, learning flow, open and closed model of knowledge dynamics,...
Students who wish to learn a specific skill have increasing access to a growing number of online cou...
Computational models of learning and the theories they represent are often validated by calibrating ...
Building intelligent tutoring systems (ITSs) that are aware of the students’ misconceptions has been...
Chapter 1: Cognitive diagnosis models (CDMs) are restricted latent class models designed to assess t...
Stefanutti (2019) recently developed procedures and a related theory for deriving learning spaces fr...
In recent years, student modeling has been extended from predicting future student performance on th...
The objective of this research is to find a more efficient way for predicting skill acquisition requ...
AbstractThis paper reports developments in a mathematical model of cognitive learning. The model des...