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Discerning quality evaluation in online graduate degree programs in agricultural sciences and engineering.

机译:在农业科学与工程专业的在线研究生学位课程中,对质量进行评估。

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摘要

Enormous demands for online degrees in higher education have increased the pressure on universities to launch web courses and degrees quickly and, at times, without properly attending to the quality of these ventures. There is scarce research that defines which quality indicators are used to assess cyberlearning environments, how different stakeholders view the relative importance of these quality indicators in online graduate degree programs from fields like science and engineering that have a historical preference for formal program accreditation, and what practices are used in evaluating completely online graduate degree programs in higher education. This mixed methods study examined current practices in three established online degree programs in agriculture and engineering at the University of Illinois, identifying quality indicators and evaluation practices used with cyberlearning environments in these fields and comparing myriad stakeholder views regarding the value of these practices.;Data collection in this study used a mixed-methods approach, including a combination of surveys (n = 107) and interviews (n = 27) with program administrators, faculty, and students, as well as a document review from the different programs. While most of the evaluation occurring in the programs is informal, analysis of the surveys, interviews, and documents collected from the programs revealed four key themes related to current evaluation practice including the use of: (a) informal feedback from the students and faculty, (b) student satisfaction surveys (i.e., ICES student feedback and department-specific and created satisfaction surveys), (c) student grades and performance information, and (d) the Committee on Extended Education and External Degrees (CEEED) process. There were a several challenges reported in using these strategies to evaluate quality, including lacking structured collection and reporting mechanisms, differing implementation levels in traditional and online courses, varying availability of data and student quality, lacking fidelity of information delivery and access, and changing survey forms. Also evident from study was that the implementation of these evaluation practices is occurring at varying levels which were categorized on a four-stage continuum of evaluation. The programs in this study are at or beginning to move out of the first evaluation stage of preservation , meaning that the administrators have an evaluation system that is focused on efficiency and on collecting student satisfaction ratings. In this evaluation stage, small improvements are made periodically in hopes of getting more efficiency out of the current system, but little is done to explore quality beyond student satisfaction. Thus, the evaluation is incomplete as it overlooks important issues like student learning outcomes, the teaching and learning process, faculty support, course structure, and others.;A factor analysis was done to explore the dimensionality of the 72 items related to quality evaluation and science, technology, engineering, and mathematics (STEM) program accreditation, from the 2009 National Research Council Study on the Quality of Traditional Programs, Institute for Higher Education Policy (IHEP) Online Benchmark Study, and ABET Criterion Three Items for STEM programs, which resulted in 12 common quality indicators to determine program quality of STEM online programs. These 12 quality indicators included (a) diversity of students and faculty, (b) professional and scholarly productivity of faculty, (c) presence, accessibility, and articulation of evaluation activities, learning outcomes, and support information, (d) student knowledge of current practice, ethics, impact, and professional conduct in STEM, (e) student production of STEM capstone research projects, (f) customer service provided by the program, (g) student training in conducting scholarly research and access to university resources, (h) interaction between students with each other and the faculty, (i) comparable achievement profiles between entering online and traditional students, (j) faculty preparation to transition from traditional to online environments, (k) student persistence to degree completion, and (l) student success beyond graduation.;Differences between stakeholders revealed that online students placed a statistically significant higher emphasis than faculty on the presence, accessibility, and articulation of evaluation activities, learning outcomes, and support information. Interviews revealed that the online students considered themselves to be "consumers" of the degree program, thereby increasing the need for identification of clearly defined "outcomes" or "competencies" that online students should be able to produce or demonstrate as a result of participation in the courses and degree program overall.;The study concludes with implications on how online programs and evaluators can use the quality indicators to identify the strengths and weaknesses of the current evaluation system and to define and develop their own evaluation procedures for richer understanding within and between institutions and departments.
机译:高等教育对在线学位的巨大需求增加了大学迫切要求迅速开设网络课程和学位的压力,有时甚至没有适当注意这些企业的质量。缺乏研究来定义哪些质量指标用于评估网络学习环境,不同的利益相关者如何看待这些质量指标在在线研究生学位课程中的相对重要性,这些领域来自科学和工程等领域,这些领域对正式课程的认可是历史性的,还有什么?这些实践用于评估高等教育中完全在线的研究生学位课程。这项混合方法研究检查了伊利诺伊大学农业和工程学三个已建立的在线学位课程中的当前实践,确定了这些领域中与网络学习环境一起使用的质量指标和评估实践,并比较了利益相关者对这些实践的价值的观点。本研究中的馆藏采用混合方法,包括对计划管理员,教职员工和学生的调查(n = 107)和访谈(n = 27)的组合,以及来自不同计划的文档审查。尽管计划中进行的大多数评估都是非正式的,但对调查,访谈和从计划中收集的文件的分析揭示了与当前评估实践相关的四个关键主题,其中包括:(a)学生和教职员工的非正式反馈, (b)学生满意度调查(即,ICES学生反馈以及针对部门和已创建的满意度调查),(c)学生成绩和绩效信息,以及(d)扩展教育与外部学位委员会(CEEED)程序。使用这些策略评估质量时,报告了一些挑战,包括缺乏结构化的收集和报告机制,传统和在线课程的实施水平不同,数据和学生质量的变化,缺乏信息传递和获取的忠诚度以及不断变化的调查形式。从研究中还可以明显看出,这些评估实践的实施发生在不同的级别,这些评估分为四个阶段的连续评估。本研究中的程序正在或即将退出保存的第一个评估阶段,这意味着管理员拥有一个评估系统,该系统侧重于效率和收集学生满意度评级。在此评估阶段,我们会定期进行一些小的改进,以期从当前系统中获得更高的效率,但是在学生满意度以外的探索质量方面却做得很少。因此,评估是不完整的,因为它忽略了重要的问题,例如学生的学习成果,教与学的过程,教职员工的支持,课程结构等。;进行了因素分析,探讨了与质量评估和评估有关的72个项目的维度。科学,技术,工程和数学(STEM)计划的认证,来自2009年美国国家研究委员会传统计划质量研究,高等教育政策研究所(IHEP)在线基准研究以及ABET标准三项STEM计划,得出了12个共同的质量指标来确定STEM在线程序的程序质量。这12个质量指标包括(a)学生和教师的多样性,(b)教师的专业和学术生产力,(c)评估活动,学习成果和支持信息的存在,可访问性和表达方式;(d)学生对以下方面的了解: STEM的当前实践,道德,影响和专业行为,(e)学生制作STEM顶点研究项目,(f)该计划提供的客户服务,(g)在进行学术研究和获得大学资源方面的学生培训,( h)学生之间和教师之间的互动,(i)在线和传统学生之间的可比成就概况,(j)从传统环境过渡到在线环境的教师准备,(k)学生的持久性到学位完成,以及(l )毕业后的学生成功。;利益相关者之间的差异显示,在线学生比在职人员在统计学上的重视程度要高得多,可访问性,以及评估活动,学习成果和支持信息的清晰表达。访谈显示,在线学生认为自己是学位课程的“消费者”,因此增加了对明确定义的“成果”或“胜任力”的识别的需要,这些成果是在线学生应该通过参与课程和学位课程而整体上产生或展示的。评估人员可以使用质量指标来识别当前评估系统的优缺点,并定义和制定自己的评估程序,以在机构和部门之间以及机构与部门之间加深了解。

著录项

  • 作者

    Downs, Holly A.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Educational psychology.;Educational technology.;Agricultural education.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 311 p.
  • 总页数 311
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:45:08

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