4,626 research outputs found
A Web-based Adaptive and Intelligent Tutor by Expert Systems
Todays, Intelligent and web-based E-learning is one of regarded topics. So
researchers are trying to optimize and expand its application in the field of
education. The aim of this paper is developing of E-learning software which is
customizable, dynamic, intelligent and adaptive with Pedagogy view for learners
in intelligent schools. This system is an integration of adaptive web-based
E-learning with expert systems as well. Learning process in this system is as
follows. First intelligent tutor determines learning style and characteristics
of learner by a questionnaire and then makes his model. After that the expert
system simulator plans a pre-test and then calculates his score. If the learner
gets the required score, the concept will be trained. Finally the learner will
be evaluated by a post-test. The proposed system can improves the education
efficiency highly as well as de-creases the costs and problems of an expert
tutor. As a result, every time and eve-rywhere (ETEW) learning would be
provided via web in this system. Moreover the learners can enjoy a cheap remote
learning even at home in a virtual simulated physical class. So they can learn
thousands courses very simple and fast.Comment: 10 pages, 3 figures, The Second International Conference on Advances
in Computing and Information Technology (ACITY 2012). arXiv admin note:
substantial text overlap with arXiv:1304.404
Adaptive Intelligent Tutoring System for learning Computer Theory
In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned
Towards an Intelligent Tutor for Mathematical Proofs
Computer-supported learning is an increasingly important form of study since
it allows for independent learning and individualized instruction. In this
paper, we discuss a novel approach to developing an intelligent tutoring system
for teaching textbook-style mathematical proofs. We characterize the
particularities of the domain and discuss common ITS design models. Our
approach is motivated by phenomena found in a corpus of tutorial dialogs that
were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor
for textbook-style mathematical proofs can be built on top of an adapted
assertion-level proof assistant by reusing representations and proof search
strategies originally developed for automated and interactive theorem proving.
The resulting prototype was successfully evaluated on a corpus of tutorial
dialogs and yields good results.Comment: In Proceedings THedu'11, arXiv:1202.453
A Web-based Multilingual Intelligent Tutor System based on Jackson's Learning Styles Profiler and Expert Systems
Nowadays, Intelligent Tutoring Systems (ITSs) are so regarded in order to
improve education quality via new technologies in this area. One of the
problems is that the language of ITSs is different from the learner's. It
forces the learners to learn the system language. This paper tries to remove
this necessity by using an Automatic Translator Component in system structure
like Google Translate API. This system carry out a pre-test and post-test by
using Expert System and Jackson Model before and after of training a concept.
It constantly updates learner model to save all changes in learning process. So
this paper offers an E-Learning system which is web-based, intelligent,
adaptive, multilingual and remotely accessible where tutors and learners can
have non-identical language. It is also applicable Every Time and Every Where
(ETEW). Furthermore, it trains the concepts in the best method with any
language and low cost.Comment: 12 pages, 2 figures, IAENG Transactions on Electrical Engineering
Volume 1 - Special Issue of the International MultiConference of Engineers
and Computer Scientists 2012. arXiv admin note: substantial text overlap with
arXiv:1304.404
A group learning management method for intelligent tutoring systems
In this paper we propose a group management specification and execution method that seeks a compromise between simple course design and complex adaptive group interaction. This is achieved through an authoring method that proposes predefined scenarios to the author. These scenarios already include complex learning interaction protocols in which student and group models use and update are automatically included. The method adopts ontologies to represent domain and student models, and object Petri nets to specify the group interaction protocols. During execution, the method is supported by a multi-agent architecture
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