Blockchain Technology Enhances Sustainable Higher Education

Autor: Cătălin Gheorghiță, Rocsana Bucea-Manea-Țoniş, Violeta Elena Simion, Milena Ilić, Valentin Kuleto, Radu Bucea-Manea-Țoniş, Oliva Martins
Jazyk: angličtina
Rok vydání: 2021
Předmět:
blockchain
Higher education
Smart contract
E-learning (theory)
media_common.quotation_subject
Geography
Planning and Development

Exploratory research
TJ807-830
Management
Monitoring
Policy and Law

E-learning
artificial intelligence (AI)
TD194-195
Artificial intelligence (AI)
Renewable energy sources
Case method
Blockchain
Cronbach's alpha
Mathematics education
GE1-350
Distributed ledger technology (DLT)
e-learning
media_common
Higher education (HE)
Teamwork
Environmental effects of industries and plants
Renewable Energy
Sustainability and the Environment

business.industry
Environmental sciences
sustainable education (SE)
Content analysis
Sustainable education
massive open online courses (MOOCs)
Massive open online courses (MOOC)
educational platforms
business
Psychology
Higher education institution (HEI)
Educational platforms
Zdroj: Sustainability, Vol 13, Iss 12347, p 12347 (2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sustainability
Volume 13
Issue 22
ISSN: 2071-1050
Popis: This research investigates blockchain technology, focusing on the influence of motivation on collaborative work, which positively influences learning performance in Higher Education Institutions (HEI). In addition, blockchain technology is correlated with decentralisation, security and integrity, and anonymity and encryption. It can also be perceived as a consensus mechanism, rewarding students, professors, and universities as a smart contract. Therefore, this technology has been used to improve higher education. It also allows less informed people to interact with better-informed peers and mentors. Finally, this study aims to enhance the current state of blockchain applications comprehension. The methodology used for this research includes document analysis, literature review, content analysis (blockchain platforms), the case study method, and the survey method. In statistical considerations, aiming to evaluate indicators, this research presents the Composite Reliability Analysis, Cronbach Alpha Coefficients, and the Bootstrapping method (Variance Inflation Factor). All these analyses aimed to present a designed research model. This exploratory research gathered data from 150 students at 3 universities in Serbia, Romania, and Portugal. As demonstrated, using student motivation has a significant and positive impact on the quality of student collaborative work. Student collaborative work also correlates with students’ higher level of engagement in the educational process, and the more engaged students are, the better their learning outcomes will be. As a result, in higher education, student involvement boosted learning outcomes. Researchers found that motivation, teamwork, and student involvement were important factors in improving student learning outcomes, as were blockchain-based tools. The results from the quantitative analysis indicate that Collaborative work, Motivation, Engagement, MOOCs, AR, VR, Gamification, and Online class were associated with learning performance. info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE