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Personality Trait-Aware Educational Suggestion Platform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 29 |
| Year of Publication: 2023 |
| Authors: D. Chandrakala, Pradeepa P., Meyyammai M., Mohamed Aakil S. |
10.5120/ijca2023923047
|
D. Chandrakala, Pradeepa P., Meyyammai M., Mohamed Aakil S. . Personality Trait-Aware Educational Suggestion Platform. International Journal of Computer Applications. 185, 29 ( Aug 2023), 46-54. DOI=10.5120/ijca2023923047
Abstract
In the sectors of e-commerce, social networks, and news recommendation, personalized recommendation systems have recently emerged as a crucial technology. However, the advancement of a personalized recommendation system in the sphere of education and instruction is very gradual and lacks a corresponding application. The caliber of students' thinking is crucial to learning and may affect how well they perform. Different students process, encode, recall, analyze, and put in their acquired knowledge in multiple ways, some are thoughtful learners, while others are quick learners. Personality is linked to these individual variations in favored learning strategies and information processing speed. Where both personality factors and learning preferences are expected to have a significant impact on especially e-learners' academic performance. The largest problem that currents e-learning management systems confront is giving users access to high-quality content linked to their interests and minimizing the time that users must spend searching for this content. In addition, not all students can follow the same learning path to comprehend a single piece of text due to differences in reading abilities and differences in personality types. The diversity of content that is offered to students on the internet may overwhelm some of them because it doesn't necessarily correspond to their reading habits. This is crucial because, according to a psychologist, kids should be taught in accordance with their preferred reading manner. Therefore, based on the user's personality and learning style, e-learning strategies can be recommended to them. In this project, the Big Five Personality Traits are used to identify personalities and Index of Learning Style to determine the student's preferred learning style in order to create a personality-aware recommendation system.
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