Interest in developing improved methods for mathematics instruction has increased since TIMSS and PISA. In our project, we investigate a new way to promote learning in mathematics: we enhanced the Cognitive Tutor Algebra, a computer-based intelligent tutoring system for mathematics at the high school level, to a collaborative learning setting. Although the Algebra Tutor has shown to increase le...

In order to self-regulate their learning, students need to use different strategies to plan, monitor, and evaluate their learning activities (meta-cognitive strategies), as well as to control their motivation and emotion (volitional strategies). Students’ effectiveness in their self-regulated learning process also varies depending on the academic environment and students’ personal goal orientat...

This paper looks across three experimental studies that examined supports designed to assist high-school students (age 15–19) with cognitive regulation of their physics inquiry learning efforts in a technologyenhanced learning environment called Co-Lab. Cognitive regulation involves the recursive processes of planning, monitoring, and evaluation during learning, and is generally thought to enha...

Traces of learning behaviors generally provide insights into learners and the learning processes that they employ. In this article, a learning-analytics-based approach is proposed for managing cognitive load by adjusting the instructional strategies used in online courses. The technology-based learning environment examined in this study involved a video conferencing system and learning manageme...

Background and Objective: Different personality aspects including identity styles, self-efficacy, and cognitive abilities can play a certain role in successful learning result in high educational success. We assessed the value of identity styles, self-efficacy and metacognition beliefs for predicting the level of educational success in female high-school students. Methods: In a cross-s...

In this paper, we study the antecedents of moments of particularly successful learning while students use a Cognitive Tutor for geometry. Students used the Cognitive Tutor as part of their regular classroom activities and data was collected automatically. Learning moments were operationalized as when the probability that the student just learned was extremely high, as determined by a probabilis...

Personalized learning systems use learning and content analytics to trace student concept knowledge over time. We propose Trace-Memory, a machine-learningbased framework for learning and content analytics that incorporates concepts from cognitive load theory. A key limitation of existing learning algorithms is that student response models oversimplify test performance as a function of only the ...