CIRCSIM-Tutor v. 3 is a natural-language based ITS for cardiac physiology. In this paper, we describe TIPS, a new text planning engine for CIRCSIM-Tutor based on current research in text generation. Since conversations cannot be completely planned in advance, TIPS plans and executes iteratively. It maintains a goal hierarchy for the tutor while carrying on a conversation with the student. It ca...

We use n-gram techniques to identify dependencies between student affective states of certainty and subsequent tutor dialogue acts, in an annotated corpus of human-human spoken tutoring dialogues. We first represent our dialogues as bigrams of annotated student and tutor turns. We next use χ analysis to identify dependent bigrams. Our results show dependencies between many student states and su...

We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’ cognitive states, the affect-sensitive tutor is responsive to their affective states as well. This affective tutor automatically detects learners’ boredom, confusion, and frustration by monitoring conversational cues, ...

Creating an educational curriculum is a difficult task involving many variables and constraints [Wang 2005]. In any curriculum, the order of the instructional units is partly based on which units teach prerequisite knowledge for later units. Historically, psychologists and cognitive scientists have studied the dependency structure of information in various domains [Bergan and Jeska 1980; Griffi...

Tutored problem solving with automated tutors has proven to be an effective instructional method. Worked-out examples have been shown to be an effective complement to untutored problem solving, but it is largely unknown whether they are an effective complement to tutored problem solving. Further, while computer-based learning environments offer the possibility of adaptively transitioning from e...

Nowadays, the integration of people with cognitive disabilities, especially in the work environment in a growing competitive market, is a difficult task. The TUTOR project is addressed to the development and testing of an Intelligent Tutoring System (ITS). The ITS runs on a handheld device and its aim is to increase the autonomy of people with cognitive disabilities in labour and daily life act...

School-based intelligent tutoring systems present a unique, largely untapped, teacherdevelopment opportunity. Research on teacher content knowledge has shown that effective teachers develop a specialised 'pedagogical content knowledge' for teaching mathematics. Schoolbased tutors provide a rich record of the student learning process. This record can be mined for insights that contribute to teac...

The tutor for doing proofs in high school geometry consists of a cot of ideal and buggy rules (IRR), a tutor, and an interface. The IBR is responsible for eh iuer t l y computing matcher, to all the correct and incorrect rules The interface is responsible for interacting with the student and graphically representing the proof. The tutor is responsible for directing the IBR and interface to achi...

INTRODUCTION Peer tutor-led small group sessions are a valuable learning strategy but students may lack confidence in the absence of a content expert. This study examined whether faculty reinforcement of peer tutor-led small group content was beneficial. METHODS Two peer tutor-led small group sessions were compared with one faculty-led small group session using questionnaires sent to student ...