Hassan Khosravi, Olga Viberg, Vitomir Kovanović, Rebecca Ferguson
{"title":"生成式人工智能和学习分析","authors":"Hassan Khosravi, Olga Viberg, Vitomir Kovanović, Rebecca Ferguson","doi":"10.18608/jla.2023.8333","DOIUrl":null,"url":null,"abstract":"This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to 2024. Considering the recent proliferation of large language models such as GPT4 and Bard, the first section of this editorial points to the need for robust Generative AI (GenAI) analytics, calling for consideration of how GenAI may impact learning analytics research and practice. The second section looks back over the past year, providing statistics on submissions and considering the cost of publication in an open-access journal.","PeriodicalId":36754,"journal":{"name":"Journal of Learning Analytics","volume":"49 21","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generative AI and Learning Analytics\",\"authors\":\"Hassan Khosravi, Olga Viberg, Vitomir Kovanović, Rebecca Ferguson\",\"doi\":\"10.18608/jla.2023.8333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to 2024. Considering the recent proliferation of large language models such as GPT4 and Bard, the first section of this editorial points to the need for robust Generative AI (GenAI) analytics, calling for consideration of how GenAI may impact learning analytics research and practice. The second section looks back over the past year, providing statistics on submissions and considering the cost of publication in an open-access journal.\",\"PeriodicalId\":36754,\"journal\":{\"name\":\"Journal of Learning Analytics\",\"volume\":\"49 21\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Learning Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18608/jla.2023.8333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Learning Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18608/jla.2023.8333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to 2024. Considering the recent proliferation of large language models such as GPT4 and Bard, the first section of this editorial points to the need for robust Generative AI (GenAI) analytics, calling for consideration of how GenAI may impact learning analytics research and practice. The second section looks back over the past year, providing statistics on submissions and considering the cost of publication in an open-access journal.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
