Expert knowledge elicitation using item response theory
نویسندگان
چکیده
منابع مشابه
General Features in Knowledge Tracing: Applications to Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge
Knowledge Tracing is the de-facto standard for inferring student knowledge from performance data. Unfortunately, it does not allow modeling the feature-rich data that is now possible to collect in modern digital learning environments. Because of this, many ad hoc Knowledge Tracing variants have been proposed to model a specific feature of interest. For example, variants have studied the effect ...
متن کاملUsing Item Response Theory to Refine Knowledge Tracing
Previous work on knowledge tracing has fit parameters per skill (ignoring differences between students), per student (ignoring differences between skills), or independently for each pair (risking sparse training data and overfitting, and undergeneralizing by ignoring overlap of students or skills across pairs). To address these limitations, we first use a higher order Item Resp...
متن کاملElicitation, assessment, and pooling of expert judgments using possibility theory
The problem of modelling expert knowledge about numerical parameters in the field of reliability is reconsidered in the framework of possibility theory. Usually expert opinions about quantities such as failure rates are modelled, assessed and pooled in the setting of probability theory. This approach does not seem to always be natural since probabilistic information looks too rich to be current...
متن کاملSelection the best Method of Equating Using Anchor-Test Design in Item Response Theory
Explaining the problem. The equating process is used to compare the scores of the two different tests with the same theme. The goal of this research is finding the best method of equating data using Logistic model. Method. we are using the data of Ph.D. test in Statistic major for two consecutive years 92 and 93. For analyzing, we are specifically using the tests of Statistics major ...
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ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 2018
ISSN: 0266-4763,1360-0532
DOI: 10.1080/02664763.2018.1450365