Authors:
Omar G. Alobaidi
;
Keeley Crockett
;
Jim D. O'Shea
and
Tariq M. Jarad
Affiliation:
Manchester Metropolitan University, United Kingdom
Keyword(s):
Conversational agents, intelligent tutoring system, knowledge base, learning theory, pattern matching
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications
;
Artificial Intelligence
;
Computational Intelligence
;
Conversational Agents
;
Enterprise Information Systems
;
Evolutionary Computing
;
Human-Computer Interaction
;
Intelligent User Interfaces
;
Knowledge Discovery and Information Retrieval
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Machine Learning
;
Natural Language Processing
;
Pattern Recognition
;
Soft Computing
;
Symbolic Systems
Abstract:
This paper outlines the research and development of a Conversational Intelligent tutoring System (CITS)
named Abdullah focusing on the novel application of learning theories. Abdullah CITS is a software
program intended to converse with students aged 10 to 12 years old about the essential topics in Islam in
natural language. The CITS aims to mimic human Arabic tutor by engaging the students in dialogue using
Modern Arabic language (MAL), and classical Arabic language (CAL), utilizing supportive evidence from
the Quran and Hadith. Abdullah CITS is able to capture the user’s level of knowledge and adapt the tutoring
session and tutoring style to suit that particular learner’s level of knowledge. This is achieved through the
inclusion of several learning theories implemented in Abdullah’s architecture, which are applied to make the
tutoring suited to an individual learner. There are no known specific learning theories for CITS therefore the
novelty of the approach is in the com
bination of well-known learning theories typically employed in a
classroom environment. The system was evaluated through end user testing with the target age group in
schools in Jordan and the UK. The initial evaluation has produced some positive results, indicating that
Abdullah is gauging the individual learner’s knowledge level and adapting the tutoring session to ensure
learning gain is achieved.
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