土耳其职前教师在线学习满意度的预测因素

S. Kaya
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摘要

本研究旨在探讨职前教师的在线学习满意度(OLS)水平,以及电脑焦虑(CA)、网络焦虑(IA)、网络课程焦虑(OCA)、网络自我效能感(ISE)等前因和学习者-指导者互动(LII)、学习者-内容互动(LCI)、学习者-学习者互动(LLI)等交易对在线学习过程结果OLS的影响。我们采用了探索性调查,它可以用来调查某些变量之间的关系。样本包括来自土耳其东部两所公立大学不同院系的710名职前教师。通过“技术焦虑与满意度量表”、“网络自我效能量表”和“三种互动网络自我调节问卷”收集数据。采用描述性统计和多元回归分析(MLR)对数据进行分析。调查结果表明,基于对该样本职前教师的看法,OLS较低。通过MLR进一步分析发现OCA与OLS呈显著负相关,而其他预测因子不显著。由于显著预测因子解释了结果变量中14%的方差,因此建议进行更全面的研究,以找出结果的未解释预测因子。建议管理员在专家的帮助下为教师提供专业的指导,专家可以成功地实现在线课程。
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Predictors of online learning satisfaction of pre-service teachers in Turkey
This research was conducted in an attempt to examine online learning satisfaction (OLS) level of the pre-service teachers and the influence of antecedents including computer anxiety (CA), internet anxiety (IA), online course anxiety (OCA), internet self-efficacy (ISE) and transactions including learner-instructor interaction (LII), learner-content interaction (LCI) and learner-learner interaction (LLI) on one outcome of online learning process, OLS. We employed an exploratory survey, which can be used to investigate the relationship between certain variables. The sample included 710 pre-service teachers from different departments studying at two public universities located in the eastern part of Turkey. Data were collected through "Technological Anxiety and Satisfaction Scale", "Internet Self-efficacy Sub-scale" and "The Online Self-regulation Questionnaire (OSRQ) in Three Types of Interaction". Descriptive statistics and multiple regression analysis (MLR) were used to analyze the data. The findings indicated low OLS based on the perceptions of this sample of pre-service teachers. Further analysis through MLR revealed a significant negative relationship between OCA and OLS, while the other predictors were insignificant. As the significant predictor explained 14% of the variance in the outcome variable, more comprehensive research was suggested to find out the unexplained predictors of the outcome. The administrators are suggested to provide the instructors with professional guidance with the help of the experts who can provide successful online course implementations.
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