Blockchain Papers

Bretislav Hajek

Ph.D

Renangi Sandeep, Thupakula Leena Sri, K Ananda Rutvik Reddy, Nimmakayala Kethana · 6 authors

This growth of digital learning platforms has presented a twin need: to deliver a learner a highly personalized educational journey and to deliver academic credentials that are verifiable, safe, and unchangeable. The current systems tend to address these goals separately and as a result, there are disjointed ecosystems with complex recommendation engines without trusted credentialing systems and sound certification systems that do not provide any course selection guidance. To fill this gap, this paper presents the Integrated Adaptive Learning and Certification Framework (IALCF), a new architecture that integrates into a LightGBM-based recommendation system a blockchain-based digital certification protocol in a synergistic manner. The recommendation module is an active learner profile analyzer that uses past performance, real-time interaction metrics and dynamically recommenders, predicting course selection with an accuracy of 98.7 and mean absolute error (MAE) of 1.18. The certification module is based on a more advanced X.509 standard with a delegated Proof-of-Stake (dPoS) blockchain, which forms a tamper-evident credential storage and an efficient verification algorithm, which has a verification success rate of over 95 percent in high-load conditions. The experimental findings reveal that the IALCF is a scalable, efficient and safe end-to-end solution to contemporary e-learning settings and is effective in integrating personalized learning with credible management of credentials.

CERTIFICATION EXAM

The "Cardano Foundation Cardano Blockchain Certified Associate (CBCA) PDF" serves as an official guide and resource for individuals seeking certification in the Cardano blockchain ecosystem. This comprehensive document outlines the essential knowledge and skills required to understand and operate within the Cardano blockchain framework. It includes detailed sections on blockchain technology fundamentals, Cardano's unique proof-of-stake mechanism, smart contracts, and the broader implications of blockchain on various industries. Additionally, the PDF features exam preparation tips, recommended reading materials, and case studies to enhance learning. This certification aims to empower professionals and enthusiasts to harness the potential of Cardano, promoting proficiency and credibility in the blockchain space. Ideal for those looking to deepen their expertise or advance their careers in a rapidly evolving digital landscape. Original Page: https://www.certification-exam.com/en/pdf/cardano-foundation-pdf/cbca1-pdf/

Christiana Chamon, Leyla Nazhandali, Vinod Lohani, Dayoung Kim

This Innovative Practice Work-in-Progress Paper presents an ongoing effort to develop a blockchain-based micro-credentialing system for engineering education, addressing the challenges of capturing and verifying granular skill achievements in digital learning environments. By leveraging blockchain technology, privacy-preserving biometric authentication, and incentive mechanisms like Proof of Stake Learning (PoSL), our system ensures secure, tamper-proof, and portable micro-credentials. Integrated into Virginia Tech's ECE 2564: Introduction to Embedded Systems course, the platform allows students to earn NFT Knowledge Coins for validated contributions, preparing them for workforce entry through coding interview simulations. Preliminary findings indicate strong student interest in self-sovereign credentialing and faculty support for automated assessments. This work aims to enhance transparency, equity, and employer trust in micro-credentials, with broader impacts on underrepresented groups and regional STEM education.

Marco Alberto Javarone, Gabriele Di Antonio, Gianni Valerio Vinci, Raffaele Cristodaro · 6 authors

Abstract The behaviour of Bitcoin owners is reflected in the structure and the number of bitcoin transactions encoded in the Blockchain. Likewise, the behaviour of Bitcoin traders is reflected in the formation of bullish and bearish trends in the crypto market. In light of these observations, we wonder if human behaviour underlies some relationship between the Blockchain and the crypto market. To address this question, we map the Blockchain to a spin-lattice problem, whose configurations form ordered and disordered patterns, representing the behaviour of Bitcoin owners. This novel approach allows us to obtain time series suitable to detect a causal relationship between the dynamics of the Blockchain and market trends of the Bitcoin and to find that disordered patterns in the Blockchain precede Bitcoin panic selling. Our results suggest that human behaviour underlying Blockchain evolution and the crypto market brings out a fascinating connection between disorder and panic in Bitcoin dynamics.

Mohamad Kassab, Giuseppe Destefanis, Joanna F. DeFranco, Prince Pranav

There is an indisputable industrial need for highly skilled individuals in the role of blockchain engineers. However, little is known about the typology of activities which fall under the blockchain engineers' responsibilities and the competencies and experiences sought from employers' perspectives. To shed light about the main characteristics of the new roles available in the market, we built and analyzed a dataset of 400 job ads related to software blockchain engineering and development roles in the U.S.. We performed a thorough analysis conducted to find the industrial demand for competencies related to the blockchain engineer role in terms of (i) level of education, training, and experience; (ii) blockchain-related development skills; (iii) technical skills; and (iv) soft-skills. Relevant correlated skills that may influence shaping the profile of the blockchain engineers were also analyzed. We conclude that a new “blockchain engineer” role is shaping up, and that specific skills, educational background, and experience are requested from the job market.