Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

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


Affiliations
1 Young Researchers and Elite Club, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran, Islamic Republic of
2 Computer department, Faculty of Engineering, Islamic Azad University, Saveh Branch, Saveh, Iran, Islamic Republic of
3 Dean of the Software Engineering and Artificial Intelligence Department, Iran, Islamic Republic of
4 Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran, Islamic Republic of
 

Objectives: Each learner shows unique behavior in educational environments to acquire knowledge and skills. It leads to form variant learning styles. Methods/Analysis: This paper develops a tutoring system called the Personalized Mobile Intelligent Tutoring System (PMITS). The purpose is evaluating the effectiveness of the learning style (according to the Felder-Silverman model) in rate desire users to use from PMITS. In this paper 93 users exercises by PMITS Then a questionnaire was distributed between them, and the results obtained by the software SPSS Version 22.0 and analyzed by Kruskal-Wallis test. Findings: In this analysis p-value=0.000 calculated and the null hypothesis was rejected. Therefore, PMITS popularity was different between users with different learning style; Also, most of the learning style of combined was {Active, Sensing, Visual, Sequential}. Finally, this paper suggests that a PMITS based on learning style is so useful experience to users. Novelty/Improvement: PMITS can support learning styles to provide an effective education system for users (according to the Felder-Silverman model).

Keywords

Felder-silverman Learning Style Model, Intelligent Tutoring System, Learning Style, Kruskal-Wallis Test.
User

Abstract Views: 145

PDF Views: 0




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

Abstract Views: 145  |  PDF Views: 0

Authors

Hossein Movafegh Ghadirli
Young Researchers and Elite Club, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran, Islamic Republic of
Maryam Rastgarpour
Computer department, Faculty of Engineering, Islamic Azad University, Saveh Branch, Saveh, Iran, Islamic Republic of
Seyyed Mohsen Hashemi
Dean of the Software Engineering and Artificial Intelligence Department, Iran, Islamic Republic of
Mir Mohsen Pedram
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran, Islamic Republic of

Abstract


Objectives: Each learner shows unique behavior in educational environments to acquire knowledge and skills. It leads to form variant learning styles. Methods/Analysis: This paper develops a tutoring system called the Personalized Mobile Intelligent Tutoring System (PMITS). The purpose is evaluating the effectiveness of the learning style (according to the Felder-Silverman model) in rate desire users to use from PMITS. In this paper 93 users exercises by PMITS Then a questionnaire was distributed between them, and the results obtained by the software SPSS Version 22.0 and analyzed by Kruskal-Wallis test. Findings: In this analysis p-value=0.000 calculated and the null hypothesis was rejected. Therefore, PMITS popularity was different between users with different learning style; Also, most of the learning style of combined was {Active, Sensing, Visual, Sequential}. Finally, this paper suggests that a PMITS based on learning style is so useful experience to users. Novelty/Improvement: PMITS can support learning styles to provide an effective education system for users (according to the Felder-Silverman model).

Keywords


Felder-silverman Learning Style Model, Intelligent Tutoring System, Learning Style, Kruskal-Wallis Test.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i31%2F131169