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Curriculum knowledge representation and manipulation in knowledge-based tutoring systems

Gang Zhou, J.T.-L. Wang, P.A. Ng
1996 IEEE Transactions on Knowledge and Data Engineering  
the curriculum knowledge representation and manipulation during the planning phase of a tutoring process.  ...  This system has features such as efficient control mechanism, explicit curriculum knowledge representation, and individualized private tutoring.  ...  The second drawback is that the representation of the curriculum knowledge has not been fully addressed, and there is little effort to formalize the curriculum knowledge representation and manipulation  ... 
doi:10.1109/69.542023 fatcat:usafhbfzlrfmdnkcuzlrfjywo4

Evaluating Spatial Representations and Skills in a Simulator-Based Tutoring System

P. Fournier-Viger, R. Nkambou, A. Mayers
2008 IEEE Transactions on Learning Technologies  
Our proposal aims at filling this gap by extending a model for representing learner's cognitive processes in tutoring systems, based on findings from research on spatial cognition.  ...  system for Canadarm2 manipulation benefits from this model, both by its ability to assess spatial representations and skills and to generate customized assistance and exercises.  ...  ACKNOWLEDGMENTS The authors thank the Canadian Space Agency, the Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT), and the Natural Sciences and Engineering  ... 
doi:10.1109/tlt.2008.13 fatcat:5r5tzgdrhvcfhlaaxoaexqb7ge

Authoring Knowledge-Based Tutors: Tools for Content, Instructional Strategy, Student Model, and Interface Design

Tom Murray
1998 The Journal of the Learning Sciences  
While intelligent tutoring systems (ITSs), also called knowledge based tutors, are becoming more common and proving to be increasingly effective, each one must still be built from scratch at a significant  ...  In this paper we describe these tools, discuss a number of design issues and design tradeoffs that are involved in building ITS authoring tools, and discuss knowledge acquisition and representation issues  ...  Acknowledgments Many thanks to the following people who were crucial in developing the Eon system: Matt Cornell for realizing the ideas in a gazilllion lines of pristine code; Kate Cremer for early versions  ... 
doi:10.1207/s15327809jls0701_2 fatcat:24zlrd3wevegbj26fctqvkagaa

Resource Description Framework based intelligent tutoring system

Muhammad Azeem Abbas, Wan Fatimah Wan Ahmad, Khairul Shafee Kalid
2012 2012 International Conference on Computer & Information Science (ICCIS)  
Intelligent tutoring system (ITS) is a contribution from Artificial Intelligence domain. It is an expert system that has a very effective role in modern education.  ...  Keyword-Intelligent tutoring system, RDF/RDFS, preschool education.  ...  Every individual problem is modeled to a separate knowledge structure, which we can say an equivalent to a rule as in any rule based system.  ... 
doi:10.1109/iccisci.2012.6297262 fatcat:rvepfnrkefc25i4c2rnfrqo6ea

A generic architecture for intelligent instruction for simulation modelling software packages

Tajudeen A. Atolagbe, Vlatka Hlupic
1996 Proceedings of the 28th conference on Winter simulation - WSC '96  
An object oriented perspective is combined with tutorial activities based on the task classification structure to form the interactions between objects.  ...  The development environment brings together objects that are functionally coherent and allows them to share common resources within the shell.  ...  The systems are based on expert systems tutoring environment, but offer limited control to the user.  ... 
doi:10.1145/256562.256830 fatcat:annnwqqwfrg6tovc7nfploy47a

SimTutor: a multimedia intelligent tutoring system for simulation modeling

Tajudeen A. Atolagbe, Vlatka Hlupic
1997 Proceedings of the 29th conference on Winter simulation - WSC '97  
Multimedia systems are now de facto standard on personal computers and increasing number of intelligent tutoring systems incorporate multimedia systems to enhance interaction with students.  ...  SimTutor is a multimedia intelligent tutoring system (ITS) for simulation modeling.  ...  The knowledge base consists of some multimedia representation of simulation modeling and case studies. Multimedia objects are linked to a frame and can be manipulated by a program.  ... 
doi:10.1145/268437.268554 fatcat:usdrd6t67jaozee4mu6w65zwla

Infusing Evidence-Based Practices into the Special Education Preparation Curriculum

Kim J. Paulsen
2005 Teacher Education and Special Education  
gained knowledge about teaching students mathematics.  ...  This article describes how a math intervention was developed based on five standards needed to be an effective math teacher of students with disabilities and four validated practices shown to be effective  ...  Curriculum-Based Measurements CBM is a system for monitoring student progress that uses quick, repeated probes (Deno, 1985) .  ... 
doi:10.1177/088840640502800103 fatcat:ibtcunithrfllb6laob42rf4yi

Intelligent Tutoring Systems

J. R. Anderson, C. F. Boyle, B. J. Reiser
1985 Science  
representations have been employed in intelligent tutoring systems, including plan based representations (Johnson and Soloway, 1984) and case-based representations (Riesbeck and Schank, 1991; Weber  ...  Second, the mismatch between student entry characteristics and the tutoring system was not revealed by breakdowns in our Al representation of do main knowledge.  ... 
doi:10.1126/science.228.4698.456 pmid:17746875 fatcat:brtoolbl6nffnoc3qt72aaqshm

An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City"

Kenneth R. Koedinger, Vincent Aleven
2015 International Journal of Artificial Intelligence in Education  
In the 1993-94 school year, we evaluated the effect of the PUMP curriculum and PAT tutor use.  ...  This study provides further evidence that laboratory tutoring systems can be scaled up and made to work, both technically and pedagogically, in real and unforgiving settings like urban high schools.  ...  Thanks to the teachers of the experimental and comparison classes.  ... 
doi:10.1007/s40593-015-0082-8 fatcat:jkkl4spknjdjpi6ovvefzkjd44

Page 1306 of Psychological Abstracts Vol. 76, Issue 4 [page]

1989 Psychological Abstracts  
Schank and R. Abelson’s (1977) knowledge representation scheme meets the requirements of an intelligent tutoring system.  ...  Based on experimental data, including protocols and operator action sequences, 2 types of knowledge are identi- fied: rule-based symptom knowledge and hierarchical system knowledge.  ... 

A Design Proposition for Interactive Virtual Tutors in an Informed Environment [chapter]

Joanna Taoum, Bilal Nakhal, Elisabetta Bevacqua, Ronan Querrec
2016 Lecture Notes in Computer Science  
around classical intelligent tutoring system models.  ...  The virtual agent feedback and the interpretation of the user's feedback are based on the knowledge of the environment (informed virtual environment), the interaction and the pedagogical strategies structured  ...  Acknowledgments This work is supported by a grant from the Région Bretagne and by the ANR, Agence Nationale de la Recherche (INGREDIBLE project).  ... 
doi:10.1007/978-3-319-47665-0_30 fatcat:5yro43od4nbmrji32w2xwpezfa

Toward a Unification of Human-Computer Learning and Tutoring [chapter]

Henry Hamburger, Gheorghe Tecuci
1998 Lecture Notes in Computer Science  
The notion of a learning tutor provides a conceptual framework for integrating the fields of intelligent tutoring-learning environments and machine learning-based knowledge acquisition.  ...  We present the conceptual framework of a learning tutor that adapts and integrates major portions of two existing successful systems, one of each kind, originally built separately by the respective authors  ...  -95-D-8653 and by the NSF grant CDA-9616478.  ... 
doi:10.1007/3-540-68716-5_50 fatcat:46ju5ta3hvgvhpvp3j2lhepwlq

Interleaved practice in multi-dimensional learning tasks: Which dimension should we interleave?

Martina A. Rau, Vincent Aleven, Nikol Rummel
2013 Learning and Instruction  
The participants (158 5th-and 6th-graders) worked with a corresponding version of an intelligent tutoring system for fractions.  ...  The temporal sequence of representations and task types is likely to impact student learning.  ...  In addition, we would like to thank Ken Koedinger, Mitchell Nathan, and Jay Raspat for their constructive input, the (anonymous) students and teachers who participated in our study, Kyle Cunningham, Brett  ... 
doi:10.1016/j.learninstruc.2012.07.003 fatcat:puzaz2yfsjbpdipsfupzfvj26u

An Overview of Intelligent Tutoring System Authoring Tools: Updated Analysis of the State of the Art [chapter]

Tom Murray
2003 Authoring Tools for Advanced Technology Learning Environments  
This paper consists of an in-depth summary and analysis of the research and development state of the art for intelligent tutoring system (ITS) authoring systems.  ...  An overview of the knowledge acquisition and authoring techniques used in these systems is given. A characterization of the design tradeoffs involved in building an ITS authoring system is given.  ...  They tend to be similar to the Curriculum Sequencing systems described above, in that content is stored in canned text and graphics and domain knowledge representation is shallow.  ... 
doi:10.1007/978-94-017-0819-7_17 fatcat:2lulfrdynbchzfv5gcdyiaro4a

DNA — Uncorking the Bottleneck in Knowledge Elicitation and Organization [chapter]

Valerie J. Shute, Lisa A. Torreano, Ross E. Willis
1998 Lecture Notes in Computer Science  
First, we describe a novel cognitive tool that was designed to aid in knowledge elicitation and organization for instructional purposes -specifically to be used for intelligent tutoring system development  ...  This automated approach to knowledge elicitation is embodied in a program called DNA (Decompose, Network, Assess).  ...  That is, it is automated, uses a hybrid representational scheme, provides an interplay between elicitation and organization of evolving knowledge structures, and is based on an effective instructional  ... 
doi:10.1007/3-540-68716-5_20 fatcat:dxgzi54ahzdbxosjocrkrgm32q
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