Dilla Aulia Winarno, E. Muslim, M. Rafi, Alga Rosetta
{"title":"质量功能部署方法优化印尼大学讲师采用电子学习","authors":"Dilla Aulia Winarno, E. Muslim, M. Rafi, Alga Rosetta","doi":"10.1145/3439147.3439157","DOIUrl":null,"url":null,"abstract":"Along with the development of information system technology in the 21st century, the world has faced Industrial Revolution 4.0, this enhance transformation impacted all industries, including Education to create a new ecosystem named Education 4.0. This utilizes Electronic learning (E-learning) and many high institutions applied the E-learning system in their education scheme, but the level usage of e-learning is relatively low because of the lack of intention from lecturers as the user. This paper analyzed the factors that influence continuous intention in using e-learning with combined models; TAM (Technology Acceptance Model), TPB (Theory of Planned Behavior), ECM (Expectation Confirmation Model), and Flow Theory, and the results are continuance intention was associated with attitude, perceived enjoyment, perceived usefulness, satisfaction, confirmation, and perceived ease of use. Based on these factors, the researchers created and prioritized the strategies using Quality Function Deployment and concluded the improvements to increase the intention are training e-learning systems to users, add new interactive features, and enhancement in the e-learning interface.","PeriodicalId":406144,"journal":{"name":"Proceedings of the 2020 4th International Conference on Education and E-Learning","volume":"455 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Quality Function Deployment Approach to Optimize E-learning Adoption among Lecturers in Universitas Indonesia\",\"authors\":\"Dilla Aulia Winarno, E. Muslim, M. Rafi, Alga Rosetta\",\"doi\":\"10.1145/3439147.3439157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with the development of information system technology in the 21st century, the world has faced Industrial Revolution 4.0, this enhance transformation impacted all industries, including Education to create a new ecosystem named Education 4.0. This utilizes Electronic learning (E-learning) and many high institutions applied the E-learning system in their education scheme, but the level usage of e-learning is relatively low because of the lack of intention from lecturers as the user. This paper analyzed the factors that influence continuous intention in using e-learning with combined models; TAM (Technology Acceptance Model), TPB (Theory of Planned Behavior), ECM (Expectation Confirmation Model), and Flow Theory, and the results are continuance intention was associated with attitude, perceived enjoyment, perceived usefulness, satisfaction, confirmation, and perceived ease of use. Based on these factors, the researchers created and prioritized the strategies using Quality Function Deployment and concluded the improvements to increase the intention are training e-learning systems to users, add new interactive features, and enhancement in the e-learning interface.\",\"PeriodicalId\":406144,\"journal\":{\"name\":\"Proceedings of the 2020 4th International Conference on Education and E-Learning\",\"volume\":\"455 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 4th International Conference on Education and E-Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3439147.3439157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Conference on Education and E-Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3439147.3439157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality Function Deployment Approach to Optimize E-learning Adoption among Lecturers in Universitas Indonesia
Along with the development of information system technology in the 21st century, the world has faced Industrial Revolution 4.0, this enhance transformation impacted all industries, including Education to create a new ecosystem named Education 4.0. This utilizes Electronic learning (E-learning) and many high institutions applied the E-learning system in their education scheme, but the level usage of e-learning is relatively low because of the lack of intention from lecturers as the user. This paper analyzed the factors that influence continuous intention in using e-learning with combined models; TAM (Technology Acceptance Model), TPB (Theory of Planned Behavior), ECM (Expectation Confirmation Model), and Flow Theory, and the results are continuance intention was associated with attitude, perceived enjoyment, perceived usefulness, satisfaction, confirmation, and perceived ease of use. Based on these factors, the researchers created and prioritized the strategies using Quality Function Deployment and concluded the improvements to increase the intention are training e-learning systems to users, add new interactive features, and enhancement in the e-learning interface.