مشروع البحث: Adaptive Learning and Thinking Style to Improve E-Learning System Using Neural Network ‘ALTENN’
| dc.contributor.advisor | د.حنان الطاهر الداقيز | |
| dc.date.accessioned | 2026-10-18T08:36:25Z | |
| dc.date.available | 2026-10-18T08:36:25Z | |
| dc.description | There are many techniques that have been used in e-learning system. To deal with adaptivity in different manners. Most of e-learning problems concern about four main issues such as: preferred learning style, course content presentation, intelligent tutoring system, and e-learning standards [2]. Adaptation has been defined as providing a different response based on different characteristics of the receivers of the response [3]. This research attempts to improve adaptive e-learning system by developing a system called ALTENN model. Neural network approach has been adapted to extract the most preferred learning style for each learner based on his/her learning types. A neural network consists of interconnected computational nodes, referred to as perceptions that map input attributes to one or more outputs [2]. Therefore, this model makes use of the advantages of the neural network to extract the learner style based on their thinking style | |
| dc.description.abstract | Adaptive learning is defined as an educational method which uses computers as interactive teaching devices [1]. Computers adapt the presentation of educational material according to students learning needs. In a learning environment, each individual student has different requirements and characteristics. The important role of the educator is to recognize that their pedagogy and educational material must meet the learner characteristics and requirements. This is true for both traditional classroom approach and e-learning system. There is a need to move from one size approach that fits all to the personalized learning approach. Although there are many learning style approaches, theories, and methodologies that have been used for a long time in education, none of them have adequately covered all learning aspects such as personality, scale differences, and preferences. Many researchers have derived and used some elements from these models in an e-learning system but they were insufficient to overcome all e-Learning aspects such as learning preferences. The reason for this is that e-learning is unable to deal with individual learning and thinking style. | |
| dc.identifier | 6061 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/2653 | |
| dc.subject | Adaptive Learning and Thinking Style to Improve E-Learning | |
| dc.title | Adaptive Learning and Thinking Style to Improve E-Learning System Using Neural Network ‘ALTENN’ | |
| dspace.entity.type | Project | |
| project.endDate | 2015 | |
| project.funder.name | الهندسة الكهربائية والحاسوب | |
| project.investigator | امباركة على الغالي | |
| project.startDate | 2014 |