Conceptualizing the Emerging Field of Different Learning Environment Theories Using DEMATEL Method

1 Pub Date : 2023-07-01 DOI:10.46632//cllrm/5/1/2
Padmavat Nirmala Shivram
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Abstract

The controlling value theory of emotions' applicability to distance learning settings is examined in this discussion. The control value theory served as the theoretical foundation for four of the empirical research in this special issue of Net and Higher Education, and it was implicit in numerous others. As a result, we looked at each essay's emotional expression, emotional antecedents, and educational outcomes in relation to the management science of emotions. The findings of these research generally concur with those of conventional classrooms, indicating that there aren't many emotional distinctions between face-to-face classroom setting and "online learning environments". The fact that control and value judgements consistently serve as antecedents of particular emotions, despite the fact that students' learning settings varied significantly, may be a major factor in the similarities in emotions that have been found. We conclude with suggestions for additional study. In several disciplines, the "Decision-Making Test and Evaluation Laboratory (DEMATEL)" approach is used to pinpoint crucial elements of straightforward systems. Although DEMATEL has undergone significant improvement, they are still best suited for simple systems and are unable to address decision-making issues in complicated systems. The main goal of this paper is to offer a hierarchical DEMATEL approach for complicated systems with many system components, several forms of impacts, and hierarchy. In contrast to horizontal decomposition, which deals with the presence of numerous types of influencing factors, and vertical decomposition, which deals with the presence of several key dimensions and hierarchy, hierarchies’ decomposition was initially developed to provide a framework for standardizing the DEMATEL dilemma of complex systems. To create direct operating (IDR) matrices for each element in each subsystem, a direct influence assessment is suggested. A hyper IDR matrix is then specified and created by merging the IDR matrices throughout all pairs all subsystems starting at the lowest level. a high rate of turnover. Online learning, e-learning, distributed learning, e-learning and distributed learning, e-learning & online learning, and any other learning contexts. Different learning environment in Distance learning (A1) is got sixth rank, e-Learning(A2) is got seventh rank, Online learning(A3) is got fifth rank, Distance learning and e-Learning (A4) is got fourth rank, Distance learning and online learning (A5) is got first rank, e-Learning and online learning (A6) is got second rank and All learning environments (A7) is got third rank.
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用DEMATEL方法对不同学习环境理论的新兴领域进行概念化
本文探讨了情绪控制价值理论在远程学习环境中的适用性。控制值理论为本期《网络与高等教育》的四项实证研究提供了理论基础,并隐含在许多其他实证研究中。因此,我们研究了每篇文章的情感表达、情感前因以及与情感管理科学相关的教育成果。这些研究的结果与传统课堂的结果基本一致,表明面对面的课堂设置和“在线学习环境”之间没有太多的情感差异。尽管学生的学习环境差异很大,但控制和价值判断始终是特定情绪的前提,这一事实可能是已发现的情绪相似性的主要因素。最后,我们提出了进一步研究的建议。在一些学科中,“决策测试和评估实验室(DEMATEL)”方法用于确定直接系统的关键元素。尽管DEMATEL已经有了很大的改进,但它们仍然最适合于简单系统,无法解决复杂系统中的决策问题。本文的主要目标是为具有许多系统组件、几种形式的影响和层次结构的复杂系统提供分层DEMATEL方法。与水平分解(处理多种影响因素的存在)和垂直分解(处理几个关键维度和层次的存在)不同,层次分解最初是为了提供一个框架,用于标准化复杂系统的DEMATEL困境。为了为每个子系统中的每个元素创建直接操作(IDR)矩阵,建议进行直接影响评估。然后通过合并所有对(从最低级别开始的所有子系统)中的IDR矩阵来指定和创建超IDR矩阵。人员流动率高。在线学习,电子学习,分布式学习,电子学习和分布式学习,电子学习和在线学习,以及任何其他学习环境。不同的学习环境中的远程学习(A1)获得第六名,电子学习(A2)获得第七名,在线学习(A3)获得第五名,远程学习和电子学习(A4)获得第四名,远程学习和在线学习(A5)获得第一名,电子学习和在线学习(A6)获得第二名,所有学习环境(A7)获得第三名。
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