Comparison and efficacy of synergistic intelligent tutoring systems with human physiological response

Research output: Contribution to journalArticle

Abstract

The analysis of physiological signals is ubiquitous in health and medical diagnosis as a primary tool for investigation and inquiry. Physiological signals are now being widely used for psychological and social fields. They have found promising application in the field of computer-based learning and tutoring. Intelligent Tutoring Systems (ITS) is a fast-paced growing field which deals with the design and implementation of customized computer-based instruction and feedback methods without human intervention. This paper introduces the key concepts and motivations behind the use of physiological signals. It presents a detailed discussion and experimental comparison of ITS. The synergism of ITS and physiological signals in automated tutoring systems adapted to the learner’s emotions and mental states are presented and compared. The insights are developed, and details are presented. The accuracy and classification methods of existing systems are highlighted as key areas of improvement. High-precision measurement systems and neural networks for machine-learning classification are deemed prospective directions for future improvements to existing systems.
Original languageEnglish
Article number460
Number of pages23
JournalSENSORS
Volume19
Issue number3
Publication statusPublished - 23 Jan 2019

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physiological responses
Intelligent systems
emotions
machine learning
Learning systems
Health
learning
health
Neural networks
Feedback
Motivation
Emotions
education
Learning
Psychology

Keywords

  • electroencephalogram
  • electrocardiogram
  • human–computer interaction
  • Intelligent Tutoring Systems
  • physiological signals

Cite this

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abstract = "The analysis of physiological signals is ubiquitous in health and medical diagnosis as a primary tool for investigation and inquiry. Physiological signals are now being widely used for psychological and social fields. They have found promising application in the field of computer-based learning and tutoring. Intelligent Tutoring Systems (ITS) is a fast-paced growing field which deals with the design and implementation of customized computer-based instruction and feedback methods without human intervention. This paper introduces the key concepts and motivations behind the use of physiological signals. It presents a detailed discussion and experimental comparison of ITS. The synergism of ITS and physiological signals in automated tutoring systems adapted to the learner’s emotions and mental states are presented and compared. The insights are developed, and details are presented. The accuracy and classification methods of existing systems are highlighted as key areas of improvement. High-precision measurement systems and neural networks for machine-learning classification are deemed prospective directions for future improvements to existing systems.",
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Comparison and efficacy of synergistic intelligent tutoring systems with human physiological response. / Alqahtani, Fehaid; Ramzan, Naeem.

In: SENSORS, Vol. 19, No. 3, 460, 23.01.2019.

Research output: Contribution to journalArticle

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