A recent innovation in student knowledge modeling is the replacement of static estimates of the probability that a student has guessed or slipped with more contextual estimation of these probabilities [2], significantly improving prediction of future performance in one case. We extend this method by adjusting the training set used to develop the contextual models of guessing and slipping, remov...

We present details of a large, novel dataset that includes both Carnegie Learning Cognitive Tutor interaction data and various data related to learner interactions with human tutors via an online chat while using the Cognitive Tutor. We discuss integrating these two data modalities within LearnSphere and propose workflows (and corresponding analyses) germane to our U.S. Department of Defense Ad...

Discussion forums in massive open online courses (MOOCs) are a primary means of interaction among learners and instructors. Despite their widespread use there is concern that forums are not an effective means of promoting engagement and learning. This paper examines issues relating to forums through a brief literature review and by drawing on data from a specific MOOC run by the University of W...

Intelligent tutoring systems (ITS) in the domain of language learning are becoming very common. Software engineering best practices and frameworks should be used to ease the process of developing new intelligent tutoring systems. In this research, we show how a Pattern language for intelligent tutoring systems (PLITS) was used to develop modules of the Arabic Tutor. The Arabic tutor is a web-ba...

Our past work has investigated the use of the Cognitive Model Software Development Kit (SDK) for creating the cognitive models that underlie model-tracing Cognitive Tutors. Though successful at increasing the number of people who could author such a cognitive model, for certain kinds of situations the Cognitive Model SDK proved cumbersome. The present work discusses a new authoring system, xPST...

We combined two existing methods for rapid tutor development: “plug-in tutor agents” [6] and an authoring tool suite (CTAT) that supports the creation of tutors “by demonstration” [2]. The combined approach, which has not been tried before, is suited for adding tutoring capabilities to an existing problem-solving environment, for example an off-the-shelf simulator. Connecting the components (i....

OBJECTIVES Research on tutoring in problem-based learning has not focused so far on the variation in tutoring and how this variation can be interpreted by conceptions about effective tutoring. DESIGN This study focuses on the profiles of tutors generated by means of an instrument, the so-called Tutor Intervention Profile (TIP), and tries to determine which profiles are more or less effective....

We present ERM-Tutor, a constraint-based tutor that teaches logical database design (i.e. mapping conceptual to logical database schemas). Students practice this procedural task in ERM-Tutor by solving each step and receiving feedback on their solutions. We also present a new feature added to the system, which enables students to ask free-form questions. A preliminary evaluation carried out on ...

As an intelligent tutoring system that tutors learners in the domain of relational database schema normalizations. This virtual tutor is designed to be able to dynamically plan a sequence of problem solving sessions based on the run time interactions between a learner and the virtual tutor. This is an essential effort to make a virtual tutor more humanized so that instead of reiterating the kno...