The Assessment Of Online Degree Programs: Lessons From Recent Alumni

Y. Neumann, Edith F. Neumann, S. Lewis
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引用次数: 2

Abstract

The main focus of this study was the assessment performed by recent alumni as an important component of online degree program outcomes assessment. A model of components of the online learning environment was developed and tested to predictive various levels of educational outcomes of online degree programs separately for bachelor and master degree programs' alumni. The educational outcomes include direct educational outcomes and attributed educational outcomes. The model was then validated in predicting summative outcomes assessment. The model played an important role in understanding degree program's online educational outcomes and its predictive validity across all outcomes and degree levels is very high. The alum assessment of the quality of the learning model was found to be the most dominant predictor of educational outcomes for all assessment criteria and for all levels of degree programs. Finally, the explanations and implications of these findings were discussed.
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在线学位课程的评估:来自最近校友的经验教训
本研究的主要焦点是近期校友进行的评估,作为在线学位课程成果评估的重要组成部分。开发并测试了在线学习环境组成部分的模型,以分别预测学士和硕士学位课程校友的在线学位课程的不同层次的教育成果。教育成果包括直接教育成果和归因教育成果。然后在预测总结性结果评估中验证了该模型。该模型在理解学位课程在线教育成果方面发挥了重要作用,其在所有成果和学位水平上的预测效度都很高。研究发现,校友对学习模式质量的评估是所有评估标准和各级学位课程教育成果的最主要预测指标。最后,对这些发现的解释和意义进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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