Collaborative filtering (CF) is a technique that utilizes how users are associated with items in a target application and predicts the utility of items for a particular user. Temporal collaborative filtering (temporal CF) is a timesensitive CF approach that considers the change in user-item interactions over time. Despite its capability to deal with dynamic educational applications with rapidly...

At the German Distance Learning University, collaborative synchronous exercises have been recently identified by students and teachers as an important future form of collaborative learning in the university’s virtual learning space. The main requirements of collaborative exercises in a distance learning university include support for preparation of exercises, learning group management, collabor...

ABSTRACT Many researchers are investigating systems that aim to exploit the benefits of collaborative computing technology in learning. There is, however, a surprising lack of empirical evidence on the benefits and costs associated with different modes of computer support for collaborative learning. This paper describes an experiment that compares how well 50 children (aged ten and eleven) lear...

An effective tutor—human or digital—must determine what a student does and does not know. Inferring a student’s knowledge state is challenging because behavioral observations (e.g., correct vs. incorrect problem solution) provide only weak evidence. Two classes of models have been proposed to address the challenge. Latent-factor models employ a collaborative filtering approach in which data fro...

In this paper, we investigate what appears to be an intermediate developmental stage in geometrical thinking according to Sfard’s commognitive framework. More specifically, we examine the change in three middle-school students’ mathematical discourse as they worked on a geometry construction problem within a virtual collaborative dynamic-geometry environment. We trace how their word use, use of...

In face of the current economic turbulence, companies face new challenges. In order to respond to new business opportunities, it is crucial that companies attain strategic alliances so that they can obtain or maintain market competiveness. The formation of alliances and partnerships for collaborative problem solving is of extreme importance, being therefore essential to understand their structu...

Authoring tools have been shown to decrease the amount of time and resources needed for the development of Intelligent Tutoring Systems (ITSs). Although collaborative learning has been shown to be beneficial to learning, most of the current authoring tools do not support the development of collaborative ITSs. In this paper, we discuss an extension to the Cognitive Tutor Authoring Tools to allow...

Today, proficiency in collaborative problem solving (CPS) is necessary for success in both college and workplace, as well as the ability to perform that collaboration in various settings. At the same time, structuring computer-based CPS assessment, specifically for large-scale programs, is challenging. In order to perform standardized assessment of CPS skills on an individual level, each studen...

This paper presents a design for collaborative problem solving with networked representational tools, and reports on two studies—one with undergraduates in a laboratory setting and one in a high school algebra classroom. By equipping multiple participants with an array of representational resources linked through a device network, we sought to explore instances of distributed cognition through ...

We provide evidence that speech act recognition, is 1) diicult for humans to do and 2) likely to misidentify proposals involving reconstructed intentions. We examine the reliability of coding for speech acts in collaborative dialogues and we present an approach for recognizing reconstructed proposals using domain context and other more easily recognized features.