Intelligent tutoring system

About: Intelligent tutoring system is a research topic. Over the lifetime, 3472 publications have been published within this topic receiving 58217 citations. The topic is also known as: ITS.

Children's emotion recognition in an intelligent tutoring scenario

Abstract: This paper presents an approach to automatically recognize emotion which children exhibit in an intelligent tutoring system. Emotion recognition can assist the computer agent to adapt its tutorial strategies to improve the efficiency of knowledge transmission. In this study, we detect three emotional classes: confidence, puzzle, and hesitation. Emotion is detected by means of lexical, prosodic, spectral, and syntactic analyses of users’ speech. An automatic speech recognition system serves as the fundamental constituent of the system. A robust classification and regression tree (CART) integrates the various information sources together for final decision. The effectiveness of the proposed approach has been tested on data collected by Wizard-of-Oz (WoZ) experiments. Our emotion recognition was speaker-independent, and yielded 91.3% accuracy. The test results showed that the spectral and duration-related prosodic features played very important roles in emotion recognition.

DeepTutor: towards macro- and micro-adaptive conversational intelligent tutoring at scale

Abstract: We present an overview of the design of a conversational intelligent tutoring system, called DeepTutor, based on the framework of Learning Progressions. Learning Progressions capture students' successful paths towards mastery. The assumption of the proposed tutor is that by guiding instruction based on Learning Progressions, the system will be more effective (and efficient for that matter).

Review on Development of Smart Education

Abstract: Smart education is leading the development direction of Chinese education informatization and becoming a main theme of education development in the era of which technology changes education. There are seven main branches of smart education, namely Intelligent Tutoring System (ITS), smart campus, Big Data in Education (BDE), knowledge graph, educational robots, virtual teachers, and personalized education. Based on literature survey and market research, this paper gives a comprehensive overview of the research and application of smart education from above seven aspects and proposes its development based on the status of smart education development.

Results of encoding knowledge with tutor construction tools

Abstract: We have developed and evaluated a set of tutor construction tools which enabled three computer-naive educators to build, test and modify an intelligent tutoring system The tools constitute a knowledge acquisition interface for representing and rapid prototyping both domain and tutoring knowledge A formative evaluation is described which lasted nearly two years and involved 20 students This research aims to understand and support the knowledge acquisition process in education and to facilitate browsing and modification of knowledge Results of a person-hour analysis of throughput factors are provided along with knowledge representation and engineering issues for developing knowledge acquisition interfaces in education

The Evolution of an Automated Reading Strategy Tutor: From the Classroom to a Game-Enhanced Automated System

Abstract: The implementation of effective pedagogical software is difficult to achieve. In this chapter we describe one possible solution to this problem, the evolutionary development of an Intelligent Tutoring System (ITS). This development process typically involves establishing training practices, developing automated instruction, and then amending motivational elements. While this development cycle can take years for completion because each step requires an iterative process of both execution and evaluation, it also has a greater chance of success. We illustrate such a cycle in this chapter in the evolution of an intelligent tutoring and gaming environment [i.e., interactive Strategy Trainer for Active Reading and Thinking-Motivationally Enhanced (iSTART-ME)] from an ITS (i.e., iSTART), which was originally conceived and tested as a human-delivered intervention (i.e., SERT).