Mohammed Jebbari, B. Cherradi, Oussama El Gannour, S. Hamida, A. Raihani
{"title":"学习风格识别与预测技术的探索研究","authors":"Mohammed Jebbari, B. Cherradi, Oussama El Gannour, S. Hamida, A. Raihani","doi":"10.1109/IRASET52964.2022.9738030","DOIUrl":null,"url":null,"abstract":"A learning style helps determine each learner preferred method and content by knowing their behaviors and habits. This is why learning style is important in learning (or learning systems), because it shows the learner its strengths and weaknesses in learning process. Also allows the teacher (or system) to invest, develop the competence of these learners. We will give an overview of most of the techniques used to detect learning styles, by analyzing and discussing results of learners' behavior. The static techniques (traditional) used to identify learners' learning styles based on questionnaires or tests. Due to the limitations and less accurate results of this technique, several automatic models (dynamic) have been proposed to detect the learning styles of learners during the online learning, based on the data collected from them in the educational system. Thus, several approaches have been proposed for the hybrid detection of learning styles, bringing together Static and automatic techniques. In each technique, we propose a model that describes the process for detecting the learning style. This study can be helpful to researchers working in the field of learning styles.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Exploration Study on Learning Styles Identification and Prediction Techniques\",\"authors\":\"Mohammed Jebbari, B. Cherradi, Oussama El Gannour, S. Hamida, A. Raihani\",\"doi\":\"10.1109/IRASET52964.2022.9738030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A learning style helps determine each learner preferred method and content by knowing their behaviors and habits. This is why learning style is important in learning (or learning systems), because it shows the learner its strengths and weaknesses in learning process. Also allows the teacher (or system) to invest, develop the competence of these learners. We will give an overview of most of the techniques used to detect learning styles, by analyzing and discussing results of learners' behavior. The static techniques (traditional) used to identify learners' learning styles based on questionnaires or tests. Due to the limitations and less accurate results of this technique, several automatic models (dynamic) have been proposed to detect the learning styles of learners during the online learning, based on the data collected from them in the educational system. Thus, several approaches have been proposed for the hybrid detection of learning styles, bringing together Static and automatic techniques. In each technique, we propose a model that describes the process for detecting the learning style. This study can be helpful to researchers working in the field of learning styles.\",\"PeriodicalId\":377115,\"journal\":{\"name\":\"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRASET52964.2022.9738030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET52964.2022.9738030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploration Study on Learning Styles Identification and Prediction Techniques
A learning style helps determine each learner preferred method and content by knowing their behaviors and habits. This is why learning style is important in learning (or learning systems), because it shows the learner its strengths and weaknesses in learning process. Also allows the teacher (or system) to invest, develop the competence of these learners. We will give an overview of most of the techniques used to detect learning styles, by analyzing and discussing results of learners' behavior. The static techniques (traditional) used to identify learners' learning styles based on questionnaires or tests. Due to the limitations and less accurate results of this technique, several automatic models (dynamic) have been proposed to detect the learning styles of learners during the online learning, based on the data collected from them in the educational system. Thus, several approaches have been proposed for the hybrid detection of learning styles, bringing together Static and automatic techniques. In each technique, we propose a model that describes the process for detecting the learning style. This study can be helpful to researchers working in the field of learning styles.