Cloud Computing Based Blended Learning: Quality Assurance Challenges
Manju Lata, Vibhu Saujanya Sharma
Abstract
As learning institutions increasingly adopt cloud-based blended learning models of integrating technology into traditional pedagogical approaches brings forth a myriad of challenges in ensuring quality assurance. This paper explores the multifaceted issues associated with the advance of robust quality assurance bases in cloud computing based blended learning environments. The concern for quality assurance falls primarily with the government, controls the regulatory bodies. Government organizations must conduct regular monitoring and evaluation activities to ensure quality in all programs and institutions to improve learning outcomes and learners’ performance. Due to the increasing speed of web 2.0 adopters and mobile phone, there is a robust requirement for cloud-based blended learning. One reason for the expansion of cloud learning apps is the ease with which knowledge can be accessed, but another is the need for collaboration in an increasingly competitive world. The present work signifies the content quality and pedagogical strategies require collaborative efforts between teachers and instructional designers to create engaging and effective learning materials that leverage the capabilities of cloud technologies while maintaining academic consistency. The procedure used in this paper is entirely literature-based. The discussion of the issues as well as challenges of quality assurance in cloud-based blended learning highlights the need for comprehensive strategies and collaborative efforts to navigate this evolving learning paradigm successfully.