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Translating knowledge into innovation capability: An exploratory study investigating the perceptions on distance learning in higher education during the COVID-19 pandemic - the case of Mexico
Journal of Innovation & Knowledge ( IF 15.6 ) Pub Date : 2022-09-08 , DOI: 10.1016/j.jik.2022.100258
Miltiadis D. Lytras , Andreea Claudia Serban , Miguel Jesus Torres Ruiz , Stamatios Ntanos , Akila Sarirete

The COVID-19 pandemic represented a significant challenge to higher education and forced academic institutions worldwide to abruptly shift to remote teaching. Higher education institutions are continuously confronted with the difficulties of creating satisfactory online learning experiences that adhere to the new norms. This paper presents a study concerning the perceptions of the quality and efficiency of the educational process in higher education concerning distance learning at the Instituto Politécnico Nacional of Mexico during the COVID-19 pandemic. The data analysis identified the level of satisfaction with distance learning education separately for students and professors and the lived experience for future education models. Data analysis consisted of a stepwise regression model to identify the most important variables related to the satisfaction aspect of e-learning for students and professors. The main findings are associated with the perception of one's own skills as the most crucial variable to define the aspects of e-learning satisfaction. Therefore, these skills involve the knowledge of e-learning platforms and the adoption rate of new technologies. The study found that the students emphasized that the variable "low sense of community" negatively impacts e-learning due to the loss of personal contact with the academic workspace. The key contribution of our research is a knowledge translation into a sustainable innovation capability model.



中文翻译:

将知识转化为创新能力:一项探索性研究调查了 COVID-19 大流行期间高等教育中对远程学习的看法——以墨西哥为例

COVID-19 大流行对高等教育构成了重大挑战,并迫使全球学术机构突然转向远程教学。高等教育机构一直面临着创造符合新规范的令人满意的在线学习体验的困难。本文介绍了一项关于在 COVID-19 大流行期间对墨西哥国立政治学院远程学习的高等教育教育过程的质量和效率的看法的研究。数据分析分别确定了学生和教授对远程学习教育的满意度以及未来教育模式的生活体验。数据分析由逐步回归模型组成,以确定与学生和教授的电子学习满意度相关的最重要变量。主要发现与将自己的技能视为定义电子学习满意度方面的最关键变量有关。因此,这些技能涉及电子学习平台的知识和新技术的采用率。研究发现,学生们强调,由于失去与学术工作空间的个人联系,“社区意识低”这个变量会对电子学习产生负面影响。我们研究的主要贡献是将知识转化为可持续创新能力模型。主要发现与将自己的技能视为定义电子学习满意度方面的最关键变量有关。因此,这些技能涉及电子学习平台的知识和新技术的采用率。研究发现,学生们强调,由于失去与学术工作空间的个人联系,“社区意识低”这个变量会对电子学习产生负面影响。我们研究的主要贡献是将知识转化为可持续创新能力模型。主要发现与将自己的技能视为定义电子学习满意度方面的最关键变量有关。因此,这些技能涉及电子学习平台的知识和新技术的采用率。研究发现,学生们强调,由于失去与学术工作空间的个人联系,“社区意识低”这个变量会对电子学习产生负面影响。我们研究的主要贡献是将知识转化为可持续创新能力模型。

更新日期:2022-09-08
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