{"title":"Design and effects of the teacher-student interaction model in the online learning spaces.","authors":"Youru Xie, Yuling Huang, Wenjing Luo, Yucheng Bai, Yi Qiu, Ziru Ouyang","doi":"10.1007/s12528-022-09348-9","DOIUrl":null,"url":null,"abstract":"<p><p>The interaction between teachers and students is vital for promoting teaching quality. Online learning spaces have various features that can support teacher-student interaction in online learning contexts. In this study, a preliminary model was developed by analyzing the principles underlying the interaction between teachers and students and the support features of online learning spaces. Then, the interaction model was refined and validated in three rounds of teaching practice involving 31 college students. A real-time dynamic artificial intelligence analysis system was used to analyze the teacher-student interaction during three rounds of design-based research. The results showed that the model significantly fostered students' engagement during the interaction. Moreover, students significantly improved their final exam scores and their innovative problem-solving ability after the intervention.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"35 1","pages":"69-90"},"PeriodicalIF":4.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805344/pdf/","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computing in Higher Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s12528-022-09348-9","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 3
Abstract
The interaction between teachers and students is vital for promoting teaching quality. Online learning spaces have various features that can support teacher-student interaction in online learning contexts. In this study, a preliminary model was developed by analyzing the principles underlying the interaction between teachers and students and the support features of online learning spaces. Then, the interaction model was refined and validated in three rounds of teaching practice involving 31 college students. A real-time dynamic artificial intelligence analysis system was used to analyze the teacher-student interaction during three rounds of design-based research. The results showed that the model significantly fostered students' engagement during the interaction. Moreover, students significantly improved their final exam scores and their innovative problem-solving ability after the intervention.
期刊介绍：
Journal of Computing in Higher Education (JCHE) contributes to our understanding of the design, development, and implementation of instructional processes and technologies in higher education. JCHE publishes original research, literature reviews, implementation and evaluation studies, and theoretical, conceptual, and policy papers that provide perspectives on instructional technology’s role in improving access, affordability, and outcomes of postsecondary education. Priority is given to well-documented original papers that demonstrate a strong grounding in learning theory and/or rigorous educational research design.
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