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USING WEB-BASED, STREAMING AND INTERACTIVE VIDEO TECHNOLOGIES IN AN ENGINEERING COURSE

机译:在工程课程中使用基于Web的流媒体和交互式视频技术

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The goal of this project, funded by a grant from the General Electric Fund, is to determine how to use new educational technologies to optimize the learning process for students with different learning styles and personality types. We are currently in the data collection portion of the second year of this three-year project. This paper reports last years' student reactions to the different technologies used to deliver course material. These reactions were both attitudinal (i.e., satisfaction and preference) and performance (i.e., course grade) in nature. In order to achieve the project's goal, student's personality type and learning style were measured using the Myers-Briggs Type Indicator (MBTI) and the Learning Style Inventory (LSI). We compared these differing learning styles and personality types to student performance in the same class, Mechanics I (freshman level), taught using three different educational technologies: interactive video class (distance learning between University of Cincinnati and Wright State University), a web-based class and a streaming video class. A standard lecture class was used as the control class for this project. There were 200 students enrolled in the five classes, a relatively small sample for statistical analysis. Several variables were found to have an influential role in student performance. The findings include: 1) Educational technology format had an impact on student performance. Students in web-based classrooms did better than students in traditional or streaming media classrooms; 2) Students' personality types had an impact on their performance. Mental functioning styles of practical thinking performed better than insightful thinking styles. Realistic decision makers performed better than adaptable realistic or innovative thinking types; 3) Learning styles did not have a significant role in student performance across classrooms; 4) Students who found the course to be interesting, engaging, and offering an effective learning environment out-performed students who did not have this opinion. Data acquired in this year and next year will significantly increase confidence in these results.
机译:该项目的目标是获得通用电气基金会的资助,目的是确定如何使用新的教育技术来优化具有不同学习风格和性格类型的学生的学习过程。目前,我们处于这个为期三年的项目第二年的数据收集部分。本文报告了去年的学生对用于交付课程材料的不同技术的反应。这些反应在本质上都是态度上的(即满意度和偏好)和表现上的(即课程成绩)。为了实现该项目的目标,使用Myers-Briggs类型指示器(MBTI)和学习风格清单(LSI)对学生的性格类型和学习风格进行了测量。我们将这三种不同的学习风格和性格类型与同一班学生的表现进行了比较,这是我使用三种不同的教育技术教授的力学I(新生水平):互动视频课(辛辛那提大学和怀特州立大学之间的远程学习),基础课程和流式视频课程。标准的讲课班被用作该项目的控制班。这五个班共招收200名学生,这是用于统计分析的相对较小的样本。发现有几个变量对学生的表现有影响。研究结果包括:1)教育技术形式对学生的表现有影响。网络教室的学生比传统教室或流媒体教室的学生表现更好; 2)学生的性格类型对他们的表现有影响。实践思维的心理机能风格比有见地的思维风格要好。现实的决策者的表现要比适应性强的现实或创新思维类型更好; 3)学习风格在各个教室的学生表现中没有重要作用; 4)认为该课程有趣,引人入胜并提供有效学习环境的学生要胜过那些没有此见解的学生。今年和明年获得的数据将大大提高人们对这些结果的信心。

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