{"title":"Identification of qualitative indicators of physical education students' online courses during the COVID-19 outbreak","authors":"Mehdi Salimi, Leila Moslehi","doi":"10.1504/ijlt.2023.134580","DOIUrl":null,"url":null,"abstract":"This paper aims to identify the factors affecting the quality of the e-learning of physical education students. The statistical population of the paper consisted of undergraduate students at the University of Isfahan in the field of physical education who passed their theoretical and practical courses virtually in two semesters. The sample size was estimated to be 210 individuals based on the Krejcie and Morgan table. Then, a researcher-made questionnaire was employed to collect the required data. Exploratory factor analysis was used to identify the factors affecting the quality of e-learning and confirmatory factor analysis was used to confirm the identified factors. According to the results, the factors affecting the e-learning quality of theoretical and practical courses are teachers' characteristics, technical characteristics of the educational system, content, student characteristics, and evaluation and feedback.","PeriodicalId":43818,"journal":{"name":"International Journal of Learning Technology","volume":"191 1","pages":"0"},"PeriodicalIF":0.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Learning Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijlt.2023.134580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
This paper aims to identify the factors affecting the quality of the e-learning of physical education students. The statistical population of the paper consisted of undergraduate students at the University of Isfahan in the field of physical education who passed their theoretical and practical courses virtually in two semesters. The sample size was estimated to be 210 individuals based on the Krejcie and Morgan table. Then, a researcher-made questionnaire was employed to collect the required data. Exploratory factor analysis was used to identify the factors affecting the quality of e-learning and confirmatory factor analysis was used to confirm the identified factors. According to the results, the factors affecting the e-learning quality of theoretical and practical courses are teachers' characteristics, technical characteristics of the educational system, content, student characteristics, and evaluation and feedback.
期刊介绍:
IJLT is an international, refereed, scholarly journal providing an interdisciplinary forum for the presentation and discussion of important ideas, concepts, and exemplars that can deeply influence the role of learning technologies in learning and instruction. This unique and dynamic journal focuses on the epistemological thrust of learning vis-à-vis instruction and the technologies and tools that support the process. IJLT publishes papers related to theoretical foundations, design and implementation, and effectiveness and impact issues related to learning technologies. Topics covered include: -Communities of learners (practice), computer-mediated communication -[Social] constructivism, computer-supported collaborative learning -Cognitive tools, intelligent agents, semantic web -Distributed/intelligent learning/tutoring, multimedia/interactive learning environments -Virtual reality environments, human-computer interface issues -Learning objects for personalised learning, building learning communities -Technology-facilitated learning in complex domains -Learning technology systems'' evaluation, technological standardisation -Simulation-supported learning/instruction -Learning technology in education and commerce -Disciplinary-related inquiry, e.g., learning technologies for science inquiry -MOOCs, social media and cloud computing in e-learning -Data analytics and big data in education -E-learning evaluation and content; e-portfolios -Smart education; internet of things/technology adoption and diffusion for learning