Investigating the Requirements for Building a Blockchain- Based Achievement Record System

• URL: http://arxiv.org/abs/2007.02162v1
• Date: Sat, 4 Jul 2020 18:44:14 GMT
• Title: Investigating the Requirements for Building a Blockchain- Based Achievement Record System
• Authors: Bakri Awaji, Ellis Solaiman, Lindsay Marshall
• Abstract summary: A trusted achievement record is a secure system that aims to record and authenticate certificates as well as key learning activities and achievements. This paper intends to gather information on the thoughts and outlooks of stakeholders on an achievement record system that uses blockchain and smart contract technology.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: A trusted achievement record is a secure system that aims to record and authenticate certificates as well as key learning activities and achievements. This paper intends to gather important information on the thoughts and outlooks of stakeholders on an achievement record system that uses blockchain and smart contract technology. The system would allow stakeholders (for example employers) to validate learning records. Two main aims are investigated. The first is to evaluate the suitability of the idea of building a trusted achievement record for learners in higher education, and to evaluate potential user knowledge of blockchain technology. This is to ensure that a designed system is usable. The second aim includes an interview conducted with a small group of participants to gather information about the challenges individuals have when creating, and reviewing CVs. Overall, 90% of participants agreed that there was a strong need for a trusted achievement record. In addition, 93.64% of respondents stated that they felt it was invaluable to have a system that is usable by all stakeholders. When tackling the second aim it was found that a primary challenge is lack of knowledge of blockchain and its complexity. From the employers' perspective, there is a lack of trust due to inaccuracies when students describe skills and qualifications in their resumes.

Related papers

• SoK: Bridging Trust into the Blockchain. A Systematic Review on On-Chain Identity [0.0]
  This systematic review explores the current status, identifies research gaps, and outlines future research directions for establishing trusted and privacy-compliant identities on the blockchain. A systematic search term was applied across various scientific databases, collecting 2232 potentially relevant research papers. The results of the selected studies have provided insightful findings on the mechanisms of on-chain identities.
  arXiv  Detail & Related papers  (2024-07-24T13:42:46Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)
• Student Certificate Sharing System Using Blockchain and NFTs [0.0]
  We propose a certificate sharing system based on blockchain that gives students authority and control over their academic certificates. Students may access the data created by each individual institute in a single platform, filter the view of the relevant courses according to their requirements, and mint their certificate metadata as NFTs.
  arXiv  Detail & Related papers  (2023-10-30T21:45:12Z)
• Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators [78.63553017938911]
  Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks. However, community concerns abound regarding the factuality and potential implications of using this uncensored knowledge. We introduce CONNER, designed to evaluate generated knowledge from six important perspectives.
  arXiv  Detail & Related papers  (2023-10-11T08:22:37Z)
• VeriFi: Towards Verifiable Federated Unlearning [59.169431326438676]
  Federated learning (FL) is a collaborative learning paradigm where participants jointly train a powerful model without sharing their private data. Leaving participant has the right to request to delete its private data from the global model. We propose VeriFi, a unified framework integrating federated unlearning and verification.
  arXiv  Detail & Related papers  (2022-05-25T12:20:02Z)
• Design, Implementation, and Evaluation of Blockchain-Based Trusted Achievement Record System for Students in Higher Education [0.0]
  This study introduces a blockchain-based achievement record system that produces a verifiable record of achievements. We present the design and implementation of the system and its components and tools. We evaluate the system through a number of studies to measure the system's usability, effectiveness, performance, and cost.
  arXiv  Detail & Related papers  (2022-04-26T19:07:15Z)
• Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach [0.0]
  We show how smart contract based blockchain can be a very natural communication channel for federated learning. We show how intuitive a measure of each agents' contribution can be built and integrated with the life cycle of the training and reward process.
  arXiv  Detail & Related papers  (2021-07-19T12:51:22Z)
• The MineRL BASALT Competition on Learning from Human Feedback [58.17897225617566]
  The MineRL BASALT competition aims to spur forward research on this important class of techniques. We design a suite of four tasks in Minecraft for which we expect it will be hard to write down hardcoded reward functions. We provide a dataset of human demonstrations on each of the four tasks, as well as an imitation learning baseline.
  arXiv  Detail & Related papers  (2021-07-05T12:18:17Z)
• Biometrics: Trust, but Verify [49.9641823975828]
  Biometric recognition has exploded into a plethora of different applications around the globe. There are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems.
  arXiv  Detail & Related papers  (2021-05-14T03:07:25Z)
• Trustworthy AI [75.99046162669997]
  Brittleness to minor adversarial changes in the input data, ability to explain the decisions, address the bias in their training data, are some of the most prominent limitations. We propose the tutorial on Trustworthy AI to address six critical issues in enhancing user and public trust in AI systems.
  arXiv  Detail & Related papers  (2020-11-02T20:04:18Z)
• Blockchain-Based Trusted Achievement Record System Design [0.0]
  The primary purpose of this paper is to provide a design of a blockchain-based system, which produces a verifiable record of achievements. A verifiable record of achievements enables students to present academic accomplishments to employers, within a trusted framework. The proposed system will help students in universities to increase their extra-curricular activities and improve non-academic skills.
  arXiv  Detail & Related papers  (2020-07-04T18:43:47Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.