Mirroring Teachers' Assessment of Novice Students' Presentations through an Intelligent Tutor System

2015 ◽  
Author(s):  
Vanessa Echeverria ◽  
Bruno Guaman ◽  
Katherine Chiluiza
Keyword(s):  
Tutor System ◽  
Intelligent Tutor System ◽  
Novice Students ◽  
Intelligent Tutor

EduTutor

2012 ◽  
pp. 49-63
Author(s):  
Joel J.P.C. Rodrigues ◽  
Pedro F. N. João ◽  
Binod Vaidya
Keyword(s):  
Virtual Environment ◽  
Primary Education ◽  
Learning Process ◽  
Education System ◽  
System Architecture ◽  
Study Guide ◽  
Large Set ◽  
Tutor System ◽  
Intelligent Tutor System ◽  
Intelligent Tutor

The system architecture and its main characteristics are described in detail. EduTutor focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. Its purpose is to facilitate the perception of the learning process of each student, individually, in a virtual environment, and as a study guide. Furthermore, this intelligent tutor system was designed and its architecture was prepared for being easily integrated in higher levels of studies, different subjects, and different languages. EduTutor was validated with a large set of real cases and is being used, with success, in the Aulanet LMS platform.

What to do and what to avoid on the use of gamified intelligent tutor system for low-income students

2021 ◽  
Author(s):  
Sivaldo Joaquim ◽  
Ig Ibert Bittencourt ◽  
Rafael de Amorim Silva ◽  
Patrícia Leone Espinheira ◽  
Marcelo Reis
Keyword(s):  
Low Income ◽  
Low Income Students ◽  
Tutor System ◽  
Intelligent Tutor System ◽  
Intelligent Tutor

Validation of Learning Effort Algorithm for Real-Time Non-Interfering Based Diagnostic Technique

2014 ◽  
pp. 206-219
Author(s):  
Pi-Shan Hsu ◽  
Te-Jeng Chang
Keyword(s):  
Real Time ◽  
Questionnaire Survey ◽  
Diagnostic Technique ◽  
Learning Context ◽  
Learning Platform ◽  
E Learning ◽  
Tutor System ◽  
Intelligent Tutor System ◽  
User Friendly ◽  
Intelligent Tutor

The objective of this research is to validate the algorithm of learning effort which is an indicator of a new real-time and non-interfering based diagnostic technique. IC3 Mentor, the adaptive e-learning platform fulfilling the requirements of intelligent tutor system, was applied to 165 university students. The learning records of the subjects who attended IC3 Mentor were converted into Characteristic Learning Effort (CLE) curves through the algorithms of learning effort. By evaluating CLE curves and questionnaire survey reports, the findings indicate that the learning effort algorithm is verified to be an effective real-time and non-interfering diagnostic technique. Furthermore, CLE curve is proven to be an effective user-friendly tool for learners and instructors in diagnosing learning progress under adaptive e-learning context. The CLE curve generated by the algorithm of learning effort is a visualized graphic tool which can be applied in the adaptive e-learning platform of education and industry fields.

EduTutor

2010 ◽  
Vol 8 (4) ◽  
pp. 66-80 ◽  
Author(s):  
Joel J.P.C. Rodrigues ◽  
Pedro F. N. João ◽  
Binod Vaidya
Keyword(s):  
Learning Process ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Large Set ◽  
Web Based ◽  
Tutoring Systems ◽  
Tutor System ◽  
Intelligent Tutor System ◽  
Teaching Learning ◽  
Intelligent Tutor

Intelligent tutoring systems are any computer systems encompassing interactive applications with some intelligence that support and facilitate the teaching-learning process. The intelligence of these systems is the ability to adapt to each student throughout his/her learning process. This paper presents an intelligent tutoring system, called EduTutor, created for the web-based Aulanet learning management system (LMS).The system architecture and its main characteristics are described in detail. EduTutor focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. Its purpose is to facilitate the perception of the learning process of each student, individually, in a virtual environment, and as a study guide. Furthermore, this intelligent tutor system was designed and its architecture was prepared for being easily integrated in higher levels of studies, different subjects, and different languages. EduTutor was validated with a large set of real cases and is being used, with success, in the Aulanet LMS platform.

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