Blended Learning Quality Measurement System using DEMETAL Method

Abstract

A learning approach called blended learning combines in-person and online instruction. To achieve learning goals, blended learning successfully combines synchronous and asynchronous learning settings. Indicators that are live, virtual, autonomous, synchronous, and cooperatively asynchronous are all used in this study. A methodology is required to come up with suggestions for how to implement blended learning more effectively because there are various indicators that may be used to measure its effectiveness. Online collaborative learning activities are increasingly being used thanks to cloud computing. Despite the inclusion of a specific online application or service, it is not clear how different cloud computing technologies have impacted the concept of collaborative learning or how widely these resources are now accessible to students. The review's conclusions revealed a number of justifications in support of employing particular cloud computing technologies for tasks related to collaborative learning that are categorized as sharing, editing, communication, and discussion. Face-to-face, problem-based, online, independent, collaborative, and evaluated tasks are all considered evaluation criteria. The DEMETAL approach, which was utilized in this study, can deal with data that is imprecise and inaccurate. The relative importance of each blended learning indicator is established using the DEMETAL method. The aim of this work is to provide methodology for decision support systems that provides recommendations for putting blended learning into practice. Problem-based learning, task collaboration, and autonomous tasks are those components of blended learning that have the greatest impacts, according to the research. The test findings revealed that task collaboration with a first rank is cause and effect produced the highest accuracy.