Corpus ID: 786570

The Behavior of Tutoring Systems

@article{VanLehn2006TheBO,
  title={The Behavior of Tutoring Systems},
  author={Kurt VanLehn},
  journal={Int. J. Artif. Intell. Educ.},
  year={2006},
  volume={16},
  pages={227-265}
}
  • K. VanLehn
  • Published 2006
  • Computer Science
  • Int. J. Artif. Intell. Educ.
Tutoring systems are described as having two loops. [...] Key Result For tutoring system experts, this description illustrates that although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar.Expand

Figures, Tables, and Topics from this paper

Learning Feedback in Intelligent Tutoring Systems
TLDR
The FIT project has been conducted over a period of 3 years pursuing the goal to develop novel ITS methods, that are also applicable for ill-defined problems, based on implicit domain knowledge extracted from educational data sets. Expand
Computer Intelligent Tutoring System "SQLTOR"
TLDR
The presented system “SQLTOR” provides supporting tools for teachers and an adaptive tutoring approach for SQL students as well and testing results from a group of students at National Aerospace University “Kharkiv Aviation Institute” are provided. Expand
The Diagnosing Behaviour of Intelligent Tutoring Systems
TLDR
In a systematic literature review, a systematic analysis of how Intelligent Tutoring Systems diagnose student responses is compared, what kinds of diagnoses are performed and how they are obtained, and how the processes compare across domains are investigated. Expand
Evaluation of a meta-tutor for constructing models of dynamic systems
TLDR
A recently developed technology, meta-tutoring, was applied to address the important problem of teaching model construction and it was found that students tended to avoid deep modelling by abusing the tutor’s help, so the next stage of the research is to add an affective agent that will try to persuade students to persist in using the taught strategies even when the meta-teaching and tutoring have ceased. Expand
Evaluation of a meta-tutor for constructing models of dynamic systems
TLDR
A recently developed technology, meta-tutoring, was applied to address the important problem of teaching model construction and it was found that students tended to avoid deep modelling by abusing the tutor's help. Expand
From behavioral description to a pattern-based model for intelligent tutoring systems
TLDR
The use of Design Patterns is used to create an object-oriented software model for Intelligent Tutoring Systems and the experience using this model in a three-year development project and its impact on facets such as creating a common language among stakeholders, supporting an incremental development, and adjustment to a highly shifting development team are addressed. Expand
An Intelligent Tutoring System for Teaching FOL Equivalence
TLDR
An intelligent tutoring system developed to assist students in learning logic helps students to learn how to construct equivalent formulas in first order logic (FOL), a basic knowledge representation language. Expand
Authoring Example-based Tutors for Procedural Tasks
TLDR
This chapter describes several such systems, consider their commonalities and differences, and reflects on the merit of such an approach to authoring by use of examples. Expand
A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors
TLDR
Development time estimates suggest that CTAT improves the cost-effectiveness of ITS development by a factor of 4-8, compared to “historical” estimates of tutor development time, which supports the hope that lowering the skill requirements for tutor creation is a key step toward widespread use of ITS technology. Expand
Towards Deeper Integration of Intelligent Tutoring Systems : One-way Student Model Sharing between GIFT and CTAT
There are strong potential benefits to be had by integrating intelligent tutoring systems (ITSs) with each other, but few instances of successful integration are known in the literature. Given theExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 84 REFERENCES
Evaluating Intelligent Tutoring Systems with Learning Curves
The evaluation of Intelligent Tutoring Systems, like any adaptive system, can have its difficulties. In this paper we discuss the evaluation of an extension to an existing system that usesExpand
Evaluation of a Constraint-Based Tutor for a Database Language
TLDR
Empirical evaluation shows that students find the system easy to use, and they do better on a subsequent classroom examination than peers without experience with the system, supporting the psychological appropriateness of the constraint construct. Expand
Algebra Subsystem for an Intelligent Tutoring System
TLDR
This paper describes a subsystem which resolves such questions for Andes and describes the capabilities of the subsystem, which would be useful for any ITS which deals with problems involving complex systems of equations. Expand
Cognitive Tutors: Lessons Learned
TLDR
The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting. Expand
Hinting as a Tactic in One-on-One Tutoring
TLDR
Hinting is triggered by student errors but ceases when it appears that the student is unable to respond appropriately, and the surface structure of hints is complex and varied, reflecting the fact that the utterances making up hints often serve multiple functions. Expand
AutoTutor: A simulation of a human tutor
TLDR
This work has dissected the discourse and pedagogical strategies these unskilled tutors exhibit by analyzing approximately 100 hours of naturalistic tutoring sessions. Expand
The Andes Physics Tutoring System: Lessons Learned
TLDR
The Andes system demonstrates that student learning can be significantly increased by upgrading only their homework problem-solving support, and its key feature appears to be the grain-size of interaction. Expand
Evaluation Methodologies for Intelligent Tutoring Systems.
TLDR
This paper draws upon the areas of intelligent tutoring systems research, expert systems design, computer-based instruction, education, and psychology to identify techniques for the formative and summative evaluation of ITS. Expand
Limitations of Student Control: Do Students Know When They Need Help?
TLDR
Data about students' use of the help facilities of the PACT Geometry Tutor, a cognitive tutor for high school geometry, suggest that students do not always have metacognitive skills to support students in learning domain-specific skills and knowledge. Expand
Advantages of Spoken Language Interaction in Dialogue-Based Intelligent Tutoring Systems
TLDR
An overview of the Spoken Conversational Tutor (SCoT) is given and how to make use of spoken language information in SCoT is described, which has the potential to be more effective than those without. Expand
...
1
2
3
4
5
...