A Novel Architecture for Learner-Centric Curriculum Sequencing in Adaptive Intelligent Tutoring System

2018 ◽  
Vol 20 (3) ◽  
pp. 1-20
Author(s):  
Ninni Singh ◽  
Neelu Jyothi Ahuja ◽  
Amit Kumar
Keyword(s):  
Learning Style ◽  
Seismic Data ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Data Interpretation ◽  
Tutoring System ◽  
Face To Face ◽  
Learning Path ◽  
Curriculum Sequencing

An ideal face-to-face tutor learner interaction aims to offer learning to the learner in a manner that best suits an individual learner's learning level and learning style. This ability of differentiated instruction has been built in Seis-Tutor Intelligent Tutoring system, developed to offer subject matter knowledge of ‘Seismic Data Interpretation,' a field of geo-physics. The detailed architecture of learner-centric curriculum sequencing module, built to this effect, with its components, sub-components, their interconnected functioning, to generate exclusive learning path, have been described. An algorithm for learner-centric curriculum sequencing, a mathematical model and proposed implementation using a case study has been elaborated.

A Novel Architecture for Learner-Centric Curriculum Sequencing in Adaptive Intelligent Tutoring System

2020 ◽  
pp. 722-742
Author(s):  
Ninni Singh ◽  
Neelu Jyothi Ahuja ◽  
Amit Kumar
Keyword(s):  
Learning Style ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Data Interpretation ◽  
Subject Matter Knowledge ◽  
Tutoring System ◽  
Face To Face ◽  
Learning Path ◽  
Curriculum Sequencing

An ideal face-to-face tutor learner interaction aims to offer learning to the learner in a manner that best suits an individual learner's learning level and learning style. This ability of differentiated instruction has been built in Seis-Tutor Intelligent Tutoring system, developed to offer subject matter knowledge of ‘Seismic Data Interpretation,' a field of geo-physics. The detailed architecture of learner-centric curriculum sequencing module, built to this effect, with its components, sub-components, their interconnected functioning, to generate exclusive learning path, have been described. An algorithm for learner-centric curriculum sequencing, a mathematical model and proposed implementation using a case study has been elaborated.

scholarly journals Effectiveness of Learning Style in Popularity of Personalized Mobile Intelligent Tutoring System from View of Learners

2016 ◽  
Vol 9 (31) ◽  
Author(s):  
Hossein Movafegh Ghadirli ◽  
Maryam Rastgarpour ◽  
Seyyed Mohsen Hashemi ◽  
Mir Mohsen Pedram
Keyword(s):  
Learning Style ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System

A Heuristic Method for Learning Path Sequencing for Intelligent Tutoring System (ITS) in E-learning

2011 ◽  
Vol 7 (4) ◽  
pp. 65-80 ◽  
Author(s):  
Sami A. M. Al-Radaei ◽  
R. B. Mishra
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Heuristic Method ◽  
Tutoring System ◽  
Dynamic Learning ◽  
Java Programming ◽  
Learning Path ◽  
Course Sequencing ◽  
E Learning ◽  
Semantic Values

Course sequencing is one of the vital aspects in an Intelligent Tutoring System (ITS) for e-learning to generate the dynamic and individual learning path for each learner. Many researchers used different methods like Genetic Algorithm, Artificial Neural Network, and TF-IDF (Term Frequency- Inverse Document Frequency) in E-leaning systems to find the adaptive course sequencing by obtaining the relation between the courseware. In this paper, heuristic semantic values are assigned to the keywords in the courseware based on the importance of the keyword. These values are used to find the relationship between courseware based on the different semantic values in them. The dynamic learning path sequencing is then generated. A comparison is made in two other important methods of course sequencing using TF-IDF and Vector Space Model (VSM) respectively, the method produces more or less same sequencing path in comparison to the two other methods. This method has been implemented using Eclipse IDE for java programming, MySQL as database, and Tomcat as web server.

A Heuristic Method for Learning Path Sequencing for Intelligent Tutoring System (ITS) in E-learning

2012 ◽  
pp. 285-301
Author(s):  
Sami A. M. Al-Radaei ◽  
R. B. Mishra
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Heuristic Method ◽  
Tutoring System ◽  
Dynamic Learning ◽  
Java Programming ◽  
Learning Path ◽  
Course Sequencing ◽  
E Learning ◽  
Semantic Values

Course sequencing is one of the vital aspects in an Intelligent Tutoring System (ITS) for e-learning to generate the dynamic and individual learning path for each learner. Many researchers used different methods like Genetic Algorithm, Artificial Neural Network, and TF-IDF (Term Frequency- Inverse Document Frequency) in E-leaning systems to find the adaptive course sequencing by obtaining the relation between the courseware. In this paper, heuristic semantic values are assigned to the keywords in the courseware based on the importance of the keyword. These values are used to find the relationship between courseware based on the different semantic values in them. The dynamic learning path sequencing is then generated. A comparison is made in two other important methods of course sequencing using TF-IDF and Vector Space Model (VSM) respectively, the method produces more or less same sequencing path in comparison to the two other methods. This method has been implemented using Eclipse IDE for java programming, MySQL as database, and Tomcat as web server.

scholarly journals An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

2021 ◽  
Vol 544 ◽  
pp. 446-468
Author(s):  
J.J. Castro-Schez ◽  
C. Glez-Morcillo ◽  
J. Albusac ◽  
D. Vallejo
Keyword(s):  
Active Learning ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System ◽  
Predictive Parsing
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