Are There Benefits of Using Multiple Pedagogical Agents to Support and Foster Self-Regulated Learning in an Intelligent Tutoring System?

2016 ◽  
pp. 273-279
Author(s):  
Seth A. Martin ◽  
Roger Azevedo ◽  
Michelle Taub ◽  
Nicholas V. Mudrick ◽  
Garrett C. Millar ◽  
...  
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Pedagogical Agents ◽  
Tutoring System ◽  
Self Regulated Learning ◽  
Regulated Learning

scholarly journals Differential Efficacy of an Intelligent Tutoring System for University Students: A Case Study with Learning Disabilities

2020 ◽  
Vol 12 (21) ◽  
pp. 9184 ◽  
Author(s):  
Rebeca Cerezo ◽  
Maria Esteban ◽  
Guillermo Vallejo ◽  
Miguel Sanchez-Santillan ◽  
Jose Nuñez
Keyword(s):  
University Students ◽  
Learning Strategies ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Self Regulation ◽  
Learning Difficulties ◽  
Learning Processes ◽  
Tutoring System ◽  
Self Regulated Learning ◽  
Regulated Learning

Computer-Based Learning Environments (CBLEs) have emerged as an almost limitless source of education, challenging not only students but also education providers; teaching and learning in these virtual environments requires greater self-regulation of learning. More research is needed in order to assess how self-regulation of learning strategies can contribute to better performance. This study aims to report how an Intelligent Tutoring System can help students both with and without learning difficulties to self-regulate their learning processes. A total of 119 university students with and without learning difficulties took part in an educational experiment; they spent 90 min learning in a CBLE specifically designed to assess and promote self-regulated learning strategies. Results show that as a consequence of the training, the experimental group applied more self-regulation strategies than the control group, not only as a response to a system prompt but also self-initiated. In addition, there were some differences in improvement of learning processes in students with and without learning difficulties. Our results show that when students with learning difficulties have tools that facilitate applying self-regulated learning strategies, they do so even more than students without learning difficulties.

scholarly journals Intelligent Tutoring System

2020 ◽  
pp. 121-144
Author(s):  
Abhishek Singh Rathore ◽  
Siddhartha Kumar Arjaria
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
The Internet ◽  
Tutoring System ◽  
Time Data ◽  
Self Regulated Learning ◽  
Formal And Informal Learning ◽  
Real Time Data ◽  
E Learning ◽  
Teaching Learning

With digitization, a rapid growth is seen in educational technology. Different formal and informal learning contents are available on the internet. Intelligent tutoring system provides personalized e-learning to the learners. Different attributes like historical data, real-time data, behavioral, and cognitive are usually used for personalization. Based on the personalization, the intelligent tutoring system aims to provide easy and effective understanding. Recent research highlights the effect of learner's behavior and emotions on effective teaching-learning process. This chapter provides a brief description of the intelligent tutoring system, current developments, instructional techniques, proposed solution, and future recommendations. The emphasis of the study is to provide insights on self-regulated learning.

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