Recent work demonstrates that process data from intelligent tutoring systems (ITSs) can be used to predict student outcomes on high-stakes, standardized tests. Such models are important if ITSs are to be used for formative assessment and as replacements for external assessments. Recent work used various measures of learning efficiency and performance from problem-level, aggregate data from Carnegie Learning’s Cognitive Tutor to predict standardized test scores on the state of Virginia’s Standards of Learning exam. We generalize this model to a different school district, state, and standardized test and examine extending the model using finer-grained data
Cognitive skills predict academic performance, so schools that improve academic performance might al...
eayers, brian @ stat.cmu.edu During the 2004–2005 school year, over 900 eighth-grade students used a...
Original version should be found at : http://www.springer.com/engineering/computational+intelligence...
Cognitive Tutors are primarily developed as instructional systems, with the goal of helping students...
This study suggests that the data generated by intelligent tutoring systems can be used to accuratel...
Over the last few decades, there have been a rich variety of approaches towards modeling student kno...
Education has been impacted by the shift from an industrial society to an information-based environm...
Interest in end-of-year accountability exams has increased dramatically since the pas-sing of the No...
Recent research seeks to develop more comprehensive learner models for adaptive learning software. F...
Intelligent Tutoring Systems (ITS) are typically designed to offer one-on-one tutoring on a subject ...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was...
Interest in end-of-year accountability exams has increased dramatically since the passing of the NCL...
This quantitative study examined seventh-grade reading scores to determine the extent to which certa...
As schools prepare their students for state standardized assessments, more and more schools are turn...
This work describes a unified approach to two problems pre-viously addressed separately in Intellige...
Cognitive skills predict academic performance, so schools that improve academic performance might al...
eayers, brian @ stat.cmu.edu During the 2004–2005 school year, over 900 eighth-grade students used a...
Original version should be found at : http://www.springer.com/engineering/computational+intelligence...
Cognitive Tutors are primarily developed as instructional systems, with the goal of helping students...
This study suggests that the data generated by intelligent tutoring systems can be used to accuratel...
Over the last few decades, there have been a rich variety of approaches towards modeling student kno...
Education has been impacted by the shift from an industrial society to an information-based environm...
Interest in end-of-year accountability exams has increased dramatically since the pas-sing of the No...
Recent research seeks to develop more comprehensive learner models for adaptive learning software. F...
Intelligent Tutoring Systems (ITS) are typically designed to offer one-on-one tutoring on a subject ...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was...
Interest in end-of-year accountability exams has increased dramatically since the passing of the NCL...
This quantitative study examined seventh-grade reading scores to determine the extent to which certa...
As schools prepare their students for state standardized assessments, more and more schools are turn...
This work describes a unified approach to two problems pre-viously addressed separately in Intellige...
Cognitive skills predict academic performance, so schools that improve academic performance might al...
eayers, brian @ stat.cmu.edu During the 2004–2005 school year, over 900 eighth-grade students used a...
Original version should be found at : http://www.springer.com/engineering/computational+intelligence...