01304nas a2200121   4500008004100000245005900041210005700100520088400157100002201041700001701063700001501080856008701095       2019                        eng d00aMicro-Accreditation for Matching Employer E-Hire Needs0 aMicroAccreditation for Matching Employer EHire Needs3 a<p>This paper presents a novel way to help match employers' knowledge requirements with students' knowledge earned using blockchain's smart contracts to assure credentials and track student records. This decentralized approach proposes using the micro-accreditation of topics from the CAE framework to courses and associated tasks, while introducing a revolutionary idea of a blockchain-based peer-reviewed rigor score assignment. Our work and result metrics were completed in Ethereum and connected test networks. We concluded this new approach is mostly efficient and scalable depending on the network load, with faster transaction times when the miners are properly incentivized. Future work will include further fine-tuning of the transaction algorithms to improve time, as well as an investigation into a better consensus model for peer review and rigor determination.</p>
1 aZaccagni, Zachary1 aPaul, Aditya1 aDantu, Ram  uhttps://nsl.cse.unt.edu/content/micro-accreditation-matching-employer-e-hire-needs