{"title":"高等教育协作学习环境中群体、评分者和评分者对同伴/自我评价的影响研究:交叉分类多层次分析","authors":"Yueh-hui Vanessa Chiang, Ying-Zu Lin, N. Chen","doi":"10.1109/ICALT52272.2021.00051","DOIUrl":null,"url":null,"abstract":"This study conducted a cross-classified multilevel analysis of undergraduate students’ peer-/self-assessment scores in a collaborative learning environment. The analysis intended to investigate group, rater and ratee effects on the peer-/self-assessment scores. The findings showed that group, rater and ratee effects were all statistically significant on peer-/self-assessment scores. The raters’ and ratees’ gender as well as the diversity in group members’ majors influence peer-/self-assessment scores significantly. In addition, there was a statistically significant difference in students’ self and peer ratings. The instructional implications of using cross-classified random effects model to analyze peer-/self-assessment ratings were also discussed in the paper.","PeriodicalId":170895,"journal":{"name":"2021 International Conference on Advanced Learning Technologies (ICALT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An investigation of group, rater and ratee effects on peer-/self-assessments in a collaborative learning environment in higher education: a cross-classified multilevel analysis\",\"authors\":\"Yueh-hui Vanessa Chiang, Ying-Zu Lin, N. Chen\",\"doi\":\"10.1109/ICALT52272.2021.00051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study conducted a cross-classified multilevel analysis of undergraduate students’ peer-/self-assessment scores in a collaborative learning environment. The analysis intended to investigate group, rater and ratee effects on the peer-/self-assessment scores. The findings showed that group, rater and ratee effects were all statistically significant on peer-/self-assessment scores. The raters’ and ratees’ gender as well as the diversity in group members’ majors influence peer-/self-assessment scores significantly. In addition, there was a statistically significant difference in students’ self and peer ratings. The instructional implications of using cross-classified random effects model to analyze peer-/self-assessment ratings were also discussed in the paper.\",\"PeriodicalId\":170895,\"journal\":{\"name\":\"2021 International Conference on Advanced Learning Technologies (ICALT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Advanced Learning Technologies (ICALT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT52272.2021.00051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT52272.2021.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An investigation of group, rater and ratee effects on peer-/self-assessments in a collaborative learning environment in higher education: a cross-classified multilevel analysis
This study conducted a cross-classified multilevel analysis of undergraduate students’ peer-/self-assessment scores in a collaborative learning environment. The analysis intended to investigate group, rater and ratee effects on the peer-/self-assessment scores. The findings showed that group, rater and ratee effects were all statistically significant on peer-/self-assessment scores. The raters’ and ratees’ gender as well as the diversity in group members’ majors influence peer-/self-assessment scores significantly. In addition, there was a statistically significant difference in students’ self and peer ratings. The instructional implications of using cross-classified random effects model to analyze peer-/self-assessment ratings were also discussed in the paper.