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Details for article 14 of 43 found articles
| Title: |
Behavior Analysis in a learning Environment to Identify the Suitable Learning Style |
| Author: |
Abdelaziz . K. Hamada Magdy .Z. Rashad Mohamed.G. Darwesh |
| Appeared in: |
International journal of computer science and information technology |
| Paging: | Volume 3 (2011) nr. 2 pages 48-59 |
| Year: |
2011 |
| Contents: |
Personalized adaptive systems rely heavily on the learning style and the learner's behavior.Due to traditional teaching methods and high learner/teacher ratios, a teacher faces great obstacles inthe classroom. In these methods, teachers deliver the content and learners just receive it. Moreover,teachers can’t cope with the individual differences among learners. This weakness may be attributed tovarious reasons such as the high number of learners accommodated in each classroom and the lowteaching skills of the teacher himself/herself, Therefore, identifying learning styles is a critical step inunderstanding how to improve the learning process.This paper presented an automatic tool for identifying learning styles based on the Felder-Silvermanlearning style model in a learning environment using a social book marking website such aswww.tagme1.com .The proposed tool used the learners’ behaviour while they are browsing / exploring their favorite webpages in order to gather hints about their learning styles. Then the learning styles were calculated basedon the gathered indications from the learners' database.The results showed that the proposed tool recognition accuracy was 72% when we applied it on 25learners with low number of links per learner. Recognition accuracy increased to 86.66% when weapplied it on 15 learners with high number of links per learner. |
| Publisher: |
Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 14 of 43 found articles
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