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Do learning styles, learning strategies, and student's preference for teacher's teaching philosophy predict student preference for online or in-class courses.

机译:学习风格,学习策略和学生对老师教学理念的偏爱是否可以预测学生对在线课程或课堂课程的偏爱。

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摘要

Scope and method of study. The purpose of this study was to investigate the extent that selected factors contributed to the predictability of student's choice for online or in-class instruction: the predictive strength of learning styles, learning strategies, student's choice for teacher's teaching philosophy as quantified by student's preference for online or in-class instruction and the predictive strength of all independent variables to student's choice for online or in-class instruction. Demographic variables were examined. Statistical procedures included frequency distribution, chi square, regression analysis, and discriminant analysis. Participants included 595 students enrolled in psychology courses through Experimetrix at Oklahoma State University.;Findings and conclusions. Expect learners from all learning style dimensions; strongest learning style is very concrete. Learning styles are independent of demographic variables examined in this study. No relationship was found to teacher preference, to how the student initiates the learning activity, or student's preference for a certain type of class structure. A disproportionately larger number of Engagers compared to the expected norms exist in this study. Demographic variables were not good predictors of learning strategies. Preference for a teacher's teaching philosophy: Realist with over one-third of the population followed by Humanist: one-fourth. Students preferred in-class instruction slightly more than online instruction. Traditional instructional and demographic variables do not explain student's preference for instruction. All research questions and hypotheses revealed no significant relationships were found between the dependent and predictor variables.
机译:研究范围和方法。这项研究的目的是调查所选因素在多大程度上有助于学生选择在线或课堂教学的可预测性:学习风格的预测强度,学习策略,学生对老师的教学理念的选择(通过学生的偏好进行量化)在线或课堂教学,以及所有自变量对学生选择在线或课堂教学的预测强度。人口统计学变量进行了检查。统计程序包括频率分布,卡方,回归分析和判别分析。参与者包括595名通过俄克拉荷马州立大学的Experimetrix修读心理学课程的学生;研究结果和结论。期望所有学习风格维度的学习者;最强的学习方式非常具体。学习风格与本研究中研究的人口统计学变量无关。没有发现与教师偏好,学生如何发起学习活动或学生对某类课堂结构的偏好有关。与预期的规范相比,本研究中存在大量的Engager。人口统计学变量并不是学习策略的良好预测指标。偏爱教师的教学理念:现实主义者占人口的三分之一以上,其次是人文主义者:四分之一。与在线教学相比,学生更喜欢课堂教学。传统的教学和人口统计学变量不能解释学生对教学的偏爱。所有研究问题和假设均表明,因变量和预测变量之间未发现显着关系。

著录项

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Education Educational Psychology.;Education Curriculum and Instruction.;Education Higher.;Education Technology of.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 219 p.
  • 总页数 219
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 教育心理学;高等教育;教育;
  • 关键词

  • 入库时间 2022-08-17 11:37:37

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