学生期望和经验水平的连接到异步,在线,远程学位课程。

Shawnda Schroeder, Mary Baker, Katherine L. Terras, P. Mahar, Karl Chiasson
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引用次数: 24

摘要

这项研究考察了研究生在在线异步远程学位课程中所期望的和经历的连接水平。美国中西部一所大学特殊教育远程学位硕士课程的研究生接受了一项调查,调查内容包括他们与课程、学生、教师和顾问之间的期望和经验联系。总体而言,学生期望并经历了与项目、顾问和导师的高度联系;体验并希望减少与同学的联系。具体来说,有三个重要的发现:(1)学生总体上想要高连接,与导师的连接程度最高,与其他学生的连接程度最低;(2)不同年龄群体之间存在差异,他们希望与同伴、顾问、导师和项目建立联系,在导师和其他学生之间存在统计学显著差异;(3)学生的连通性较高。研究生在线学习者与他们的导师和顾问之间的关系与学生对他们的课程体验的连通性水平相关。在在线学习环境中,培养同龄人之间的高度联系并不重要。进一步的研究应该比较院系之间和其他大学之间的期望连接和期望连接,以确定可能影响连接的变量,并确定最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Students' Desired and Experienced Levels of Connectivity to an Asynchronous, Online, Distance Degree Program.
This study examined graduate students’ desired and experienced levels of connectivity in an online, asynchronous distance degree program. Graduate students enrolled in the Masters of Science in Special Education distance degree program at a Midwest university were surveyed on both desired and experienced connectivity to their program, students, instructors, and advisors. Overall, student’s desired and experienced high connectivity to the program, their advisors, and their instructors; experiencing and wanting less connectivity to their fellow students. Specifically, three significant findings were noted: (1) students wanted high connectivity overall, with greatest connectivity desired with advisors and less connectivity wanted with other students; (2) there was variation among age cohorts and wanted connectivity with peers, advisors, instructors, and the program with statistically significant differences with regard to instructors, and other students; and (3) students experienced high connectivity. The relationships between graduate online learners and their instructors and advisors were correlated with the level of connectivity students experienced with their program. It was not as important to foster high connectivity among peers in the online learning environment. Further study should compare desired and wanted connectivity between departments, and across other universities to determine variables that may influence connectivity, and to identify best practices.
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