Abstract
Recently Intelligent Tutoring Systems (ITS) and Computer-Supported Collaborative Learning (CSCL) have got much attention in the field of computer science, artificial intelligence, cognitive psychology, and educational technologies. An ITS is a technologically intelligent system that provides an adaptive learning paradigm for an individual learner only, while CSCL is also a technology-driven learning paradigm that supports groups of learners in pertaining knowledge by collaboration. In a multidisciplinary research field—the Learning Sciences, both individual and collaborative learning have their own significance. This research aims to extend ITS for collaborative constructivist view of learning using CSCL. Integrating both design architecture of CSCL and ITS, this research model propose a new conceptual framework underpinning “Intelligent Tutoring Supported Collaborative Learning (ITSCL)”. ITSCL extend ITS by supporting multiple learners interacting system. ITSCL support three different types of interaction levels. The first level of interaction supports individual learning by learner-tutor interaction. The second and third level of interaction support collaborative learning, by learner-learner interaction and tutor-group of collaborative learners’ interactions, respectively. To evaluate ITSCL, a prototype model was implemented to conduct few experiments. The statistical results extrapolate the learning gains, measured from Paired T-Test and frequency analysis, contend a significant learning gain and improvement in the learning process with enhanced learning performance.
Highlights
Intelligent Tutoring System (ITS) uses Artificial Intelligence (AI) techniques to provide intelligent tutors in some domains without human intervention
The research work was related to the redesigning of a traditional one-to-one tutoring system to facilitate collaborative learning
Individual learning is achieved by leaner-Intelligent Tutoring Supported Collaborative Learning (ITSCL) interaction
Summary
Intelligent Tutoring System (ITS) uses Artificial Intelligence (AI) techniques to provide intelligent tutors in some domains without human intervention. The intelligent tutoring system discovers the diverse status of student experiences and gives adaptive feedback to enhance the learning process [1]. The research community in Artificial Intelligence Education (AIED) has been mostly focusing on the development of one-on-one ITS. While the field of learning sciences is focused on the integration of individual and collaborative learning. Peer learners collaborate to solve a problem, encourages peers to explore ideas, present and defend arguments, exchange of ideas, conceptual mapping, reflect and elaborate upon their knowledge. Traditional non-collaborative ITS, geared towards a single learner, despite the different positive impacts of individual and collaborative learning.
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