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Predicting Students' Outcomes in Blended Learning: An Empirical Investigation in the Higher Education Context

机译：预测混合学习中学生的结果：高等教育背景下的实证调查

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The main goal of this research was to clarify which aspects of blended learning increase a student's knowledge level measured by the course final grade. The questionnaire-based survey was used for gathering students' attitudes towards some aspects of blended learning. A principal component analysis and hierarchical clustering of variables were applied to extract the components that describe dimensions of blended learning and represent the explanatory variables in a multiple regression model with student's final grade as a dependent variable. Using a Two-Step cluster analysis to reveal natural groupings based on the answers in the questionnaire, two clusters were formed having a statistically significant difference between the means of final grades. The research revealed that the organization of a course and the study material supporting face-to-face teaching are essential features with an impact on student's final success. The study also showed that the aspects of traditional face-to-face teaching are more strongly linked to higher grades than the aspects of e-courses.
机译：本研究的主要目标是澄清混合学习的哪些方面通过课程最终成绩来增加学生的知识水平。基于调查问卷的调查用于收集学生对混合学习的某些方面的态度。应用变量的主成分分析和分层聚类以提取描述混合学习尺寸的组件，并表示具有学生最终成绩的多元回归模型中的解释变量作为依赖变量。使用两步集群分析来揭示基于调查问卷中的答案的自然分组，在最终等级的手段之间形成了具有统计学上显着的差异。该研究表明，支持面对面教学的课程和研究材料的组织是对学生最终成功产生影响的重要特征。该研究还表明，传统面对面教学的各个方面与较高等级更强烈地相关，而不是电子课程的各个方面。

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