Affective Tutoring System

An ETS or an Expert Tutoring System is any program that enables its users to learn/understand a concept or topic and is able to customize its strategies by analysing the user’s intelligence level. The paper explains a lot of tried-and-tested teaching mechanisms and aims at providing suggestions to engineer a platform that makes learning easier and more productive.

In order to promote a more dynamic and flexible communication between the learner and the system, we present a structure of a new innovative and interactive e-learning system which implements emotion and level of cognition recognition. The system has as inputs the emotional and cognitive state of the user and re-organises the content and adjusts the flow of the course. Our concept aims to increase the learning efficiency of intelligent tutoring systems by using a combination of characteristics, such as content customization and user's emotion recognition, and adapting all these features into a learner-centered educational system.

VILE is an ETS [Expert Tutoring System], it is a program that enables its users to learn/understand a concept or topic and is able to customize its strategies by analyzing the user’s intelligence level. Our project takes into account a lot of tried-and-tested teaching mechanisms and aims at providing a platform that makes learning easier and more productive. We have tried to incorporate techniques such as Scaffolding, Socratic Questioning and Game based approaches in an Interactive Environment to facilitate learning of various courses. Each user’s data is maintained and analyzed to determine the ZPD of each user and customize teaching techniques as per each user’s intelligence. Our system records feedback and an automated sentiment analyzer is used to grade the feedback as positive or negative, which then is reported to the instructor for further course improvement. All of this cumulative data is analyzed and courses are graded and suggested to new users who wish to register.

This chapter reviews instructional methods (techniques, strategies, and tactics) in the literature used to promote positive affective states resulting in the acquisition of “robust” knowledge and skill development; mitigate negative affective states, which inhibit learning; enhance and maintain learner engagement to maximize opportunities for learning; and support the development of learner perseverance or grit. For purposes of our discussion, an instructional technique is a domain-independent and largely learner-independent method used in either human- or computer-based tutoring. In other words, the technique is implemented within an ITS as a method that has been shown to have positive effect on learning across training and educational domains, and across a variety of learners and learner states and traits. Instructional techniques are best practices developed over time and include, but are not limited to error-sensitive feedback, mastery learning, adaptive spacing and repetition, ...

In order to promote a more dynamic and flexible communication between the learner and the system, we present a structure of a new innovative and interactive e-learning system which implements emotion and level of cognition recognition. The system has as inputs the emotional and cognitive state of the user and re-organises the content and adjusts the flow of the course. Our concept aims to increase the learning efficiency of intelligent tutoring systems by using a combination of characteristics, such as content customization and user’s emotion recognition, and adapting all these features into a learner-centered educational system.

In order to promote a more dynamic and flexible communication between the learner and the system, we present a structure of a new innovative and interactive e-learning system which implements emotion and level of cognition recognition. The system has as inputs the emotional and cognitive state of the user and re-organises the content and adjusts the flow of the course. Our concept aims to increase the learning efficiency of intelligent tutoring systems by using a combination of characteristics, such as content customization ...

In order to promote a more dynamic and flexible communication between the learner and the system, we present a structure of a new innovative and interactive e-learning system which implements emotion and level of cognition recognition. The system has as inputs the emotional and cognitive state of the user and re-organises the content and adjusts the flow of the course. Our concept aims to increase the learning efficiency of intelligent tutoring systems by using a combination of characteristics, such as content customization ...