Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review

【Author】 Alsobhi, Hada A.; Alakhtar, Rayed A.; Ubaid, Ayesha; Hussain, Omar K.; Hussain, Farookh Khadeer

【Source】KNOWLEDGE-BASED SYSTEMS

【影响因子】8.139

【Abstract】A micro-credential is a proof of the student's knowledge, skills, and experience that can be used to progress towards a larger credential or degree that focuses on a particular field of study in the shortest amount of time. Micro-credentials are a new area in the education sector that has expanded significantly over recent years and have become a popular idea in the higher education sector. Since the Covid-19 pandemic, micro-credentials are the most recent innovation in online education, gaining traction in public and private universities throughout the world. This has resulted in many universities developing strategies to offer micro-credential-driven courses. Higher education institutions (HEIs) need to validate micro-credentials, but the validation is a long-drawn-out and cumbersome process, so blockchain technology can be used to easily validate the detailed information on each students' micro-credentials. Unfortunately, to date, only scant scholarly research has been conducted on blockchain-based micro-credentialing systems in HEIs. This study provides a detailed overview of the state-of-the-art in the field of managing micro-credentials using blockchain technology. We start by outlining the various requirements that need to be met in a blockchain-based micro-credentialing system. We then use a systematic literature review (SLR) to retrieve relevant studies published between 2016-2022 and compare them to the defined requirements. We also analyse the relevant studies to determine the research gaps. This review will offer insight into micro-credentialing systems that have been proposed for HEIs over recent years.(c) 2022 Published by Elsevier B.V.

【Keywords】Blockchain; Micro-credentials; Higher Education Institutions (HEIs); Privacy-preserving; Learning recommendations; Multi-criteria decision

【发表时间】2023 8-Apr

【收录时间】2023-03-21

【文献类型】综述

【主题类别】

区块链应用-实体经济-教育领域