{"title":"通过人工智能方法推进适应性学习技术的前景","authors":"S. V. Singh","doi":"10.1109/IEEECONF56852.2023.10105111","DOIUrl":null,"url":null,"abstract":"Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Prospects for Advancing Adaptive Learning Technology through AI Methods\",\"authors\":\"S. V. Singh\",\"doi\":\"10.1109/IEEECONF56852.2023.10105111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.\",\"PeriodicalId\":445092,\"journal\":{\"name\":\"2023 Future of Educational Innovation-Workshop Series Data in Action\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Future of Educational Innovation-Workshop Series Data in Action\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEECONF56852.2023.10105111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Future of Educational Innovation-Workshop Series Data in Action","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF56852.2023.10105111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Prospects for Advancing Adaptive Learning Technology through AI Methods
Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.