Add to ORKGHuman memory has been thoroughly studied and modeled in psychology, but mainly in laboratory setting under simpli-fied conditions. For application in practical adaptive educa-tional systems we need simple and robust models which can cope with aspects like varied prior knowledge or multiple-choice questions. We discuss and evaluate several models of this type. We show that using the extensive data sets col-lected by online educational systems it is possible to build well calibrated models and get interesting insight, which can be used for improvement of adaptive educational systems. 1
Rote learning of facts is boring. Here, we present a way to make it more efficient so facts are lear...
An adaptive educational system is complex to model. Such a system should allow various didactic, edu...
There is a growing interest in developing and implementing adaptive instructional systems to improve...
In most interactive Human-Computer instructional systems now in existence, the subject matter is arr...
Effective adaptive learning systems are based on computational models of learning and forgetting in ...
Rote learning of facts is boring. Here, we present a way to make it more efficient so facts are lear...
Adaptive textbooks use student interaction data to infer the current state of student knowledge and ...
Modeling student knowledge is critical in adaptive learning environments. Predictive student modelin...
We present analysis of existing memory models, examining how models represent knowledge, structure m...
AbstractIn this paper is set the framework for student modeling based on psychological models, which...
Personalised environments such as adaptive educational systems can be evaluated and compared using p...
Modern educational technology has the potential to support students to use their study time more eff...
Personalised environments such as adaptive educational systems can be evaluated and compared using p...
International audienceThe growth of online learning, enabled by the availability on the Internet of ...
Background As time pass, education has been an ever growing enterprise. The past 150 years obligator...
Rote learning of facts is boring. Here, we present a way to make it more efficient so facts are lear...
An adaptive educational system is complex to model. Such a system should allow various didactic, edu...
There is a growing interest in developing and implementing adaptive instructional systems to improve...
In most interactive Human-Computer instructional systems now in existence, the subject matter is arr...
Effective adaptive learning systems are based on computational models of learning and forgetting in ...
Rote learning of facts is boring. Here, we present a way to make it more efficient so facts are lear...
Adaptive textbooks use student interaction data to infer the current state of student knowledge and ...
Modeling student knowledge is critical in adaptive learning environments. Predictive student modelin...
We present analysis of existing memory models, examining how models represent knowledge, structure m...
AbstractIn this paper is set the framework for student modeling based on psychological models, which...
Personalised environments such as adaptive educational systems can be evaluated and compared using p...
Modern educational technology has the potential to support students to use their study time more eff...
Personalised environments such as adaptive educational systems can be evaluated and compared using p...
International audienceThe growth of online learning, enabled by the availability on the Internet of ...
Background As time pass, education has been an ever growing enterprise. The past 150 years obligator...
Rote learning of facts is boring. Here, we present a way to make it more efficient so facts are lear...
An adaptive educational system is complex to model. Such a system should allow various didactic, edu...
There is a growing interest in developing and implementing adaptive instructional systems to improve...