Expanding Knowledge Tracing to Prediction of Gaming Behaviors
نویسندگان
چکیده
Knowledge tracing has been used to predict students’ knowledge and performance for almost twenty years. Recently, researchers have become interested in looking at students’ behaviors, especially those considered gaming behaviors. In this work, we attempt to leverage a variation of knowledge tracing to predict gaming behaviors without damaging the prediction of performance. We compare the predictions of this model to those of knowledge tracing and a separate engagement tracing model.
منابع مشابه
The impact of gaming (?) on learning at the fine-grained level
One of the common expectations of ITS designers is that students efficiently learn from every practice opportunity. However, when students are using an Intelligent Tutoring System, they can exhibit a variety of behaviors, such as “gaming,” which can strongly reduce learning. In this paper, we present a new approach to infer the impact of gaming on learning at the fine-grained level. We integrat...
متن کاملThe Fine-Grained Impact of Gaming (?) on Learning
One of the common expectations of ITS designers is that students efficiently learn from every practice opportunity. However, when students are using an Intelligent Tutoring System, they can exhibit a variety of behaviors, such as “gaming,” which can strongly reduce learning. In this paper, we present a new approach to infer the impact of gaming on learning at the fine-grained level. We integrat...
متن کاملTowards Understanding Expert Coding of Student Disengagement in Online Learning
Gaming the system, a behavior where students disengage from a learning environment and attempt to succeed by exploiting properties of the system, has been shown to be associated with lower learning. Machine learned and knowledge engineered models have been created to identify gaming behaviors, but few efforts have been made to precisely identify how experts code gaming behaviors. In this paper,...
متن کاملValidation of the Persian version of the internet gaming disorder-20 Test among the students of Tabriz University of Medical Sciences
Background & Aim: The American Psychiatrists Association has inserted Internet gaming disorder into Section III of DSM-V. The IGD-20 test has been introduced as a tool for investigating IGD. This study aims to assess the validity of the Persian version of IGD-20 test. Methods: In this methodological study, 394 undergraduate students of Tabriz University of Medical Sciences were included using ...
متن کاملContextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor
Intelligent tutoring systems that utilize Bayesian Knowledge Tracing have achieved the ability to accurately predict student performance not only within the intelligent tutoring system, but on paper post-tests outside of the system. Recent work has suggested that contextual estimation of student guessing and slipping leads to better prediction within the tutoring software (Baker, Corbett, & Ale...
متن کامل