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Adaptive E-Learning Based on Learner's Styles Hazem M. El-Bakry; Ahmed A. Saleh
Bulletin of Electrical Engineering and Informatics Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.138 KB) | DOI: 10.11591/eei.v2i4.189

Abstract

In this paper, a new model for adaptive e-learning based on learner's styles is presented. In the previous work, the dimensions of learner's styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learner's parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new learner's styles are added to the dimensions of Felder-Silverman learning style model and our previous work [24]. The new proposed model is applied for logic gates and functions used in data encoding and computer networks. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. Furthermore, it is powerful, user friendly and easy to interpret. Moreover, it suggests a learning strategy and appropriate electronic media that match the learner’s preference.
Adaptive Mobile E-Learning Environment for Improving Educational Process Ahmed A. Saleh; Hazem M. El-Bakry
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.146 KB) | DOI: 10.11591/eei.v2i2.217

Abstract

Over the last decade, the concept of e-learning has become an important topic. E-Learning today gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. On the other hand, mobile E-learning has many advantages that contribute in enhancing and facilitating the learning process. In this paper, an adaptive mobile E-Learning (AME-Learning) environment for logic gates, simplification of Boolean functions and related fields is presented. The presented model generates suitable courses for each student in a dynamic form. The proposed environment is designed by integrating visual basic, flash and other effective tools. The contributions of this paper are supporting AME-Learning environment to improve learning and an evaluation of its use in context. 
Adaptive E-Learning Based on Learner's Styles Hazem M. El-Bakry; Ahmed A. Saleh
Bulletin of Electrical Engineering and Informatics Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i4.189

Abstract

In this paper, a new model for adaptive e-learning based on learner's styles is presented. In the previous work, the dimensions of learner's styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learner's parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new learner's styles are added to the dimensions of Felder-Silverman learning style model and our previous work [24]. The new proposed model is applied for logic gates and functions used in data encoding and computer networks. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. Furthermore, it is powerful, user friendly and easy to interpret. Moreover, it suggests a learning strategy and appropriate electronic media that match the learner’s preference.
Adaptive Mobile E-Learning Environment for Improving Educational Process Ahmed A. Saleh; Hazem M. El-Bakry
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i2.217

Abstract

Over the last decade, the concept of e-learning has become an important topic. E-Learning today gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. On the other hand, mobile E-learning has many advantages that contribute in enhancing and facilitating the learning process. In this paper, an adaptive mobile E-Learning (AME-Learning) environment for logic gates, simplification of Boolean functions and related fields is presented. The presented model generates suitable courses for each student in a dynamic form. The proposed environment is designed by integrating visual basic, flash and other effective tools. The contributions of this paper are supporting AME-Learning environment to improve learning and an evaluation of its use in context. 
Adaptive E-Learning Based on Learner's Styles Hazem M. El-Bakry; Ahmed A. Saleh
Bulletin of Electrical Engineering and Informatics Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.138 KB) | DOI: 10.11591/eei.v2i4.189

Abstract

In this paper, a new model for adaptive e-learning based on learner's styles is presented. In the previous work, the dimensions of learner's styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learner's parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new learner's styles are added to the dimensions of Felder-Silverman learning style model and our previous work [24]. The new proposed model is applied for logic gates and functions used in data encoding and computer networks. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. Furthermore, it is powerful, user friendly and easy to interpret. Moreover, it suggests a learning strategy and appropriate electronic media that match the learner’s preference.
Adaptive Mobile E-Learning Environment for Improving Educational Process Ahmed A. Saleh; Hazem M. El-Bakry
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.146 KB) | DOI: 10.11591/eei.v2i2.217

Abstract

Over the last decade, the concept of e-learning has become an important topic. E-Learning today gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. On the other hand, mobile E-learning has many advantages that contribute in enhancing and facilitating the learning process. In this paper, an adaptive mobile E-Learning (AME-Learning) environment for logic gates, simplification of Boolean functions and related fields is presented. The presented model generates suitable courses for each student in a dynamic form. The proposed environment is designed by integrating visual basic, flash and other effective tools. The contributions of this paper are supporting AME-Learning environment to improve learning and an evaluation of its use in context.