Evaluation of hybrid learning in college using CIPP model

Risky Setiawan, A. Aman, L. Prasojo, Kunal Mehta
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引用次数: 3

Abstract

Learning in the millennial era provides significant changes in technology and communication. The COVID pandemic period requires every educational institution, especially universities, to carry out online learning. This influences the performance of lecturers in the online learning process, especially the implementation of hybrid learning at Universitas Negeri Yogyakarta (UNY). The purpose of this study is to (1) describe the implementation of hybrid learning at UNY; (2) know the hybrid learning lecture model carried out at UNY; (3) describe the results of hybrid learning evaluation. This research is an evaluation study with a mixed-method approach that is a mixture of qualitative and quantitative. The evaluation model selected is the CIPP model from Stufflebeam. This model was chosen because the evaluation is comprehensive, including (1) context, (2) input, (3) process, and (4) product. The results show that the hybrid learning evaluation model developed through the instrument already met an excellent construct of loading factor values and had a composite reliability score above 0.7 and Cronbach alpha above 0.6. Implementation of difficulties or obstacles to hybrid learning includes heterogeneity of origin of student residence to make the emergence of internet network signal problems. In comparison, the problem of lecturers is that not all lecturers have skills for technology and media in the implementation of hybrid learning. The results of hybrid learning evaluation showed that the value of context, input, process, and product aspects fall into the category of "excellent," i.e., with a total average score of 3.05.
运用CIPP模型评价大学混合式学习
千禧年时代的学习带来了技术和交流方面的重大变化。新冠肺炎疫情期间,各教育机构特别是高校都需要开展在线学习。这影响了讲师在在线学习过程中的表现,特别是在日惹大学(UNY)实施混合学习。本研究的目的是:(1)描述混合学习在纽约大学的实施情况;(2)了解纽约大学开展的混合学习讲座模式;(3)描述混合学习评价结果。本研究采用定性与定量相结合的混合方法进行评价研究。选取的评价模型为Stufflebeam中的CIPP模型。选择该模型是因为评估是全面的,包括(1)上下文,(2)输入,(3)过程和(4)产品。结果表明,通过该工具开发的混合学习评价模型满足了加载因子值的优良构造,其复合信度得分在0.7以上,Cronbach alpha值在0.6以上。实施混合学习的困难或障碍包括学生居住来源的异质性使互联网网络信号问题的出现。相比之下,讲师的问题在于,并不是所有的讲师都具备实施混合学习的技术和媒体技能。混合学习评价结果显示,情境、输入、过程和产品四个方面的价值均为“优秀”,即总平均得分为3.05分。
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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