Intelligent tutoring systems have been successful at increasing student mathematics learning, but may be further improved with the addition of collaborative activities. We have extended the Cognitive Tutor Algebra, a successful intelligent tutoring system for individual learning, with a reciprocal peer tutoring activity designed to increase conceptual learning. While using our peer tutoring env...

Intelligent tutoring systems have been successful at increasing student mathematics learning, but may be further improved with the addition of collaborative activities. We have extended the Cognitive Tutor Algebra, a successful intelligent tutoring system for individual learning, with a reciprocal peer tutoring activity designed to increase conceptual learning. While using our peer tutoring env...

Mastering problem solving reasoning is an important skill for computing students. In order to acquire this ability, students might use a collaborative approach and work in groups, getting explanations about problems solved in the past, discussing advantages and disadvantages of specific choices, taking into account different points of view. This paper presents a two-level approach for practicin...

We describe a distributed and collaborative environment for cooperative scientiic problem solving. SHASTRA is a highly extensible, distributed and collaborative design and scientiic manipulation environment. At its core is a powerful collaboration substrate { to support synchronous multiuser applications, and a distribution substrate { which emphasizes distributed problem solving. The design of...

In collaborative problem solving, metacognition not only covers strategic reasoning related to the task but also reasoning related to the interaction itself. The hypothesis underlying this work states that regulation of the interaction and regulation of the task are closely related mechanisms and that their co-occurrence facilitates collaborative problem solving. These assumptions are tested ex...

This paper first lists some features of scientific analysis tools that are important for effective analysis in CPSEs (collaborative problem solving environments). Next, design criteria for achieving these features are presented. Then requirements for a CPSE architecture to support these design criteria are listed. Some proposed architectures for CPSEs are reviewed and their capabilities to supp...

Rather than replacing human labor, there is growing evidence that networked computers create opportunities for collaborations of people and algorithms to solve problems beyond either of them. In this study, we demonstrate the conditions under which such synergy can arise. We show that, for a design task, three elements are sufficient: humans apply intuitions to the problem, algorithms automatic...

During collaborative problem solving (CPS), coordination occurs at different spatial and temporal scales. This multiscale coordination should, at least on some scales, play a functional role in facilitating effective collaboration outcomes. To evaluate this, we conducted a study of computer-based CPS with 42 dyads. We used cross-wavelet coherence as a way to examine the degree to which movement...

Complex problem solving in science, engineering, and business has become a highly collaborative endeavor. Teams of scientists or engineers collaborate on projects using their social networks to gather new ideas and feedback. Here we bridge the literature on team performance and information networks by studying teams' problem solving abilities as a function of both their within-team networks and...

Shared Place technology allows construction of virtual places on the Web by merging collaborative tools with Web page content. It offers significant benefits to the Collaborative Problem-Solving Environments’ developers and users. By its support for synchronous and asynchronous collaboration it facilitates the exchange of ideas among remote users. Extensive customization is possible; different ...