Seyyed Kazem Banihashem , Omid Noroozi , Stan van Ginkel , Leah P. Macfadyen , Harm J.A. Biemans
{"title":"A systematic review of the role of learning analytics in enhancing feedback practices in higher education","authors":"Seyyed Kazem Banihashem , Omid Noroozi , Stan van Ginkel , Leah P. Macfadyen , Harm J.A. Biemans","doi":"10.1016/j.edurev.2022.100489","DOIUrl":null,"url":null,"abstract":"<div><p>Learning analytics (LA) offers new opportunities to enrich feedback practices in higher education, but little is understood about the ways different LA can enhance feedback practices for educators and students. This systematic literature review maps the current state of implementation of LA to improve feedback practices in technology-mediated learning environments in higher education. We used strict inclusion criteria to select relevant studies that have investigated the role of LA on feedback practices. To identify common features of LA for feedback studies, we coded relevant publications using an analytical framework that identifies four key dimensions of LA systems: what (types of data), how (analytic methods), why (objectives), and how educators and students are served by LA (stakeholders). Based on findings, we propose a conceptual framework that can guide the implementation of LA for feedback systems and also suggest future empirical research in this area.</p></div>","PeriodicalId":48125,"journal":{"name":"Educational Research Review","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1747938X22000586/pdfft?md5=7b80988498f028ea0cad863106e9d88e&pid=1-s2.0-S1747938X22000586-main.pdf","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Research Review","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1747938X22000586","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}
引用次数: 27
Abstract
Learning analytics (LA) offers new opportunities to enrich feedback practices in higher education, but little is understood about the ways different LA can enhance feedback practices for educators and students. This systematic literature review maps the current state of implementation of LA to improve feedback practices in technology-mediated learning environments in higher education. We used strict inclusion criteria to select relevant studies that have investigated the role of LA on feedback practices. To identify common features of LA for feedback studies, we coded relevant publications using an analytical framework that identifies four key dimensions of LA systems: what (types of data), how (analytic methods), why (objectives), and how educators and students are served by LA (stakeholders). Based on findings, we propose a conceptual framework that can guide the implementation of LA for feedback systems and also suggest future empirical research in this area.
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.