{"title":"课程相关性和课程内容质量在MOOC接受和使用中的作用","authors":"Chimobi R. Ucha","doi":"10.1016/j.caeo.2023.100147","DOIUrl":null,"url":null,"abstract":"<div><p>Despite several benefits attributed to the use of MOOCs for learning, acceptance levels remain low and studies investigating adoption and use of the technology are limited. This study draws from the literature on specific factors that influence online learning environments and extends the technology acceptance model (TAM) to understand if those factors can be used to explain and facilitate MOOCs acceptance and use behaviors among learners. The factors investigated include, course content quality, course relevance, course instructor quality, course design quality, learner-instructor interaction, and learner-interaction. There were 138 participants in the study. Partial Least Squares SEM (PLS-SEM) was used to analyze the relationships proposed for the study. The results suggest that the extended TAM offered a good explanation of MOOC acceptance and use, with course relevance and course content quality as external variables affecting MOOCs acceptance. Findings from this study provides practical implications for MOOCs implementation to increase acceptance and further lays a foundation for future research</p></div>","PeriodicalId":100322,"journal":{"name":"Computers and Education Open","volume":"5 ","pages":"Article 100147"},"PeriodicalIF":4.1000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of course relevance and course content quality in MOOCs acceptance and use\",\"authors\":\"Chimobi R. Ucha\",\"doi\":\"10.1016/j.caeo.2023.100147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Despite several benefits attributed to the use of MOOCs for learning, acceptance levels remain low and studies investigating adoption and use of the technology are limited. This study draws from the literature on specific factors that influence online learning environments and extends the technology acceptance model (TAM) to understand if those factors can be used to explain and facilitate MOOCs acceptance and use behaviors among learners. The factors investigated include, course content quality, course relevance, course instructor quality, course design quality, learner-instructor interaction, and learner-interaction. There were 138 participants in the study. Partial Least Squares SEM (PLS-SEM) was used to analyze the relationships proposed for the study. The results suggest that the extended TAM offered a good explanation of MOOC acceptance and use, with course relevance and course content quality as external variables affecting MOOCs acceptance. Findings from this study provides practical implications for MOOCs implementation to increase acceptance and further lays a foundation for future research</p></div>\",\"PeriodicalId\":100322,\"journal\":{\"name\":\"Computers and Education Open\",\"volume\":\"5 \",\"pages\":\"Article 100147\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2023-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Education Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666557323000253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Education Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666557323000253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Role of course relevance and course content quality in MOOCs acceptance and use
Despite several benefits attributed to the use of MOOCs for learning, acceptance levels remain low and studies investigating adoption and use of the technology are limited. This study draws from the literature on specific factors that influence online learning environments and extends the technology acceptance model (TAM) to understand if those factors can be used to explain and facilitate MOOCs acceptance and use behaviors among learners. The factors investigated include, course content quality, course relevance, course instructor quality, course design quality, learner-instructor interaction, and learner-interaction. There were 138 participants in the study. Partial Least Squares SEM (PLS-SEM) was used to analyze the relationships proposed for the study. The results suggest that the extended TAM offered a good explanation of MOOC acceptance and use, with course relevance and course content quality as external variables affecting MOOCs acceptance. Findings from this study provides practical implications for MOOCs implementation to increase acceptance and further lays a foundation for future research