Yinghui Shi, Ling Chen, Kexin Jia, Zhu Qu, H. Yang
{"title":"智能课堂环境下中学生自主学习的人为因素研究","authors":"Yinghui Shi, Ling Chen, Kexin Jia, Zhu Qu, H. Yang","doi":"10.1109/ISET55194.2022.00070","DOIUrl":null,"url":null,"abstract":"This study aimed to examine the relationship between middle school students' self-regulated learning and key human side factors (self-efficacy, information literacy, and teacher support) in the smart classroom environment. A questionnaire was conducted in a middle school in the northwest of China. A total number of 173 valid responses were analyzed. Pearson correlation analysis results showed significant correlations among students' self-regulated learning, self-efficacy, information literacy, and teacher support. Multiple regression analysis results showed that students' self-regulated learning was predicted by self-efficacy, information literacy, and teacher support.","PeriodicalId":365516,"journal":{"name":"2022 International Symposium on Educational Technology (ISET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating Human Side Factors on Middle School Students' Self-Regulated Learning in the Smart Classroom Environment\",\"authors\":\"Yinghui Shi, Ling Chen, Kexin Jia, Zhu Qu, H. Yang\",\"doi\":\"10.1109/ISET55194.2022.00070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to examine the relationship between middle school students' self-regulated learning and key human side factors (self-efficacy, information literacy, and teacher support) in the smart classroom environment. A questionnaire was conducted in a middle school in the northwest of China. A total number of 173 valid responses were analyzed. Pearson correlation analysis results showed significant correlations among students' self-regulated learning, self-efficacy, information literacy, and teacher support. Multiple regression analysis results showed that students' self-regulated learning was predicted by self-efficacy, information literacy, and teacher support.\",\"PeriodicalId\":365516,\"journal\":{\"name\":\"2022 International Symposium on Educational Technology (ISET)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Educational Technology (ISET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISET55194.2022.00070\",\"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 International Symposium on Educational Technology (ISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISET55194.2022.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigating Human Side Factors on Middle School Students' Self-Regulated Learning in the Smart Classroom Environment
This study aimed to examine the relationship between middle school students' self-regulated learning and key human side factors (self-efficacy, information literacy, and teacher support) in the smart classroom environment. A questionnaire was conducted in a middle school in the northwest of China. A total number of 173 valid responses were analyzed. Pearson correlation analysis results showed significant correlations among students' self-regulated learning, self-efficacy, information literacy, and teacher support. Multiple regression analysis results showed that students' self-regulated learning was predicted by self-efficacy, information literacy, and teacher support.