educdm

We have hosted the application educdm in order to run this application in our online workstations with Wine or directly.

Quick description about educdm:

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM), Item Response Ranking framework (IRR), Incremental Cognitive Diagnosis (ICD) and Knowledge-association baesd extension of NeuralCD (KaNCD). Cognitive diagnosis model (CDM) for intelligent educational systems is a type of model that infers students' knowledge states from their learning behaviors (especially exercise response logs). Typically, the input of a CDM could be the students' response logs of items (i.e., exercises/questions), the Q-matrix that denotes the correlation between items and knowledge concepts (skills). The output is the diagnosed student knowledge states, such as students' abilities and students' proficiencies on each knowledge concepts.

Features:

• Item Response Ranking (IRT), and Multidimensional Item Response Ranking (MIRT)
• Infers students' knowledge states from their learning behaviors (especially exercise response logs)
• Typically, the input of a CDM could be the students' response logs of items
• Item response theory, a continuous unidimensional CDM with logistic-like item response function
• Multidimensional item response theory, a continuous multidimensional CDM with logistic-like item response function. Mostly extended from unidimensional IRT
• Deterministic input, noisy "and" model, a discrete multidimensional CDM. Q-matrix is used to model the effect of knowledge concepts in the cognitive process, as well as guessing and slipping factors. etc.

Programming Language: Python.
Categories: