Olga Chernikova , Daniel Sommerhoff , Matthias Stadler , Doris Holzberger , Michael Nickl , Tina Seidel , Enkelejda Kasneci , Stefan Küchemann , Jochen Kuhn , Frank Fischer , Nicole Heitzmann
{"title":"通过适应性还是适应性来实现个性化?高等教育模拟学习的元分析","authors":"Olga Chernikova , Daniel Sommerhoff , Matthias Stadler , Doris Holzberger , Michael Nickl , Tina Seidel , Enkelejda Kasneci , Stefan Küchemann , Jochen Kuhn , Frank Fischer , Nicole Heitzmann","doi":"10.1016/j.edurev.2024.100662","DOIUrl":null,"url":null,"abstract":"<div><div>This meta-analysis builds on 217 empirical studies in higher education and investigates the role of the different forms of adaptivity and adaptability as personalization strategies in simulation-based learning environments for complex skills in higher education. The strategies used to personalize scaffolding and task progression were the central point in this meta-analysis. We identified conditions under which personalization advances complex skills in higher education. The results indicate that whereas adaptivity (i.e., computer makes decisions) is more effective for scaffolding, adaptability (the decisions made by individual learners) seem more beneficial for task progression. We conclude that adaptivity and adaptability can be effectively used to personalize simulation-based learning environments in higher education to better address needs of learners with different learning needs. We also discuss the potential of artificial intelligence for empowering personalization in simulation-based learning.</div></div>","PeriodicalId":48125,"journal":{"name":"Educational Research Review","volume":"46 ","pages":"Article 100662"},"PeriodicalIF":9.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Personalization through adaptivity or adaptability? A meta-analysis on simulation-based learning in higher education\",\"authors\":\"Olga Chernikova , Daniel Sommerhoff , Matthias Stadler , Doris Holzberger , Michael Nickl , Tina Seidel , Enkelejda Kasneci , Stefan Küchemann , Jochen Kuhn , Frank Fischer , Nicole Heitzmann\",\"doi\":\"10.1016/j.edurev.2024.100662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This meta-analysis builds on 217 empirical studies in higher education and investigates the role of the different forms of adaptivity and adaptability as personalization strategies in simulation-based learning environments for complex skills in higher education. The strategies used to personalize scaffolding and task progression were the central point in this meta-analysis. We identified conditions under which personalization advances complex skills in higher education. The results indicate that whereas adaptivity (i.e., computer makes decisions) is more effective for scaffolding, adaptability (the decisions made by individual learners) seem more beneficial for task progression. We conclude that adaptivity and adaptability can be effectively used to personalize simulation-based learning environments in higher education to better address needs of learners with different learning needs. We also discuss the potential of artificial intelligence for empowering personalization in simulation-based learning.</div></div>\",\"PeriodicalId\":48125,\"journal\":{\"name\":\"Educational Research Review\",\"volume\":\"46 \",\"pages\":\"Article 100662\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational Research Review\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1747938X2400071X\",\"RegionNum\":1,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Research Review","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1747938X2400071X","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Personalization through adaptivity or adaptability? A meta-analysis on simulation-based learning in higher education
This meta-analysis builds on 217 empirical studies in higher education and investigates the role of the different forms of adaptivity and adaptability as personalization strategies in simulation-based learning environments for complex skills in higher education. The strategies used to personalize scaffolding and task progression were the central point in this meta-analysis. We identified conditions under which personalization advances complex skills in higher education. The results indicate that whereas adaptivity (i.e., computer makes decisions) is more effective for scaffolding, adaptability (the decisions made by individual learners) seem more beneficial for task progression. We conclude that adaptivity and adaptability can be effectively used to personalize simulation-based learning environments in higher education to better address needs of learners with different learning needs. We also discuss the potential of artificial intelligence for empowering personalization in simulation-based learning.
期刊介绍:
Educational Research Review is an international journal catering to researchers and diverse agencies keen on reviewing studies and theoretical papers in education at any level. The journal welcomes high-quality articles that address educational research problems through a review approach, encompassing thematic or methodological reviews and meta-analyses. With an inclusive scope, the journal does not limit itself to any specific age range and invites articles across various settings where learning and education take place, such as schools, corporate training, and both formal and informal educational environments.