1. Introduction
In the digital age, trust and security are paramount in business transactions. Traditionally, central authorities such as governments or banks have overseen these transactions, controlling and storing customer data. However, the advent of blockchain technology has revolutionised this paradigm, offering a decentralised network that enhances transparency, security, and immutability through digital ledgers or blocks [
1,
2,
3].
Blockchain technology has garnered significant traction globally, with countries like Estonia, Japan, and South Korea implementing it across various services [
1,
4]. Estonia, for instance, has integrated blockchain into its e-governance systems to secure digital identities and medical records [
5], while Japan has leveraged it in supply chain management and financial services [
6]. South Korea, known for its technological innovation, has adopted blockchain in various sectors, including education and healthcare [
7]. Major corporations such as IBM and Alibaba are at the forefront of promoting and developing this technology [
7].
Blockchain, at its core, is a decentralised digital ledger that records transactions across multiple computers in a way that ensures security, transparency, and immutability. The creation of Bitcoin in 2008 by Satoshi Nakamoto laid the foundation for cryptocurrencies and sparked a broader interest in blockchain applications. Today, blockchain’s reach extends far beyond finance, permeating sectors including healthcare, supply chain management, and education [
6]. In the realm of education, particularly higher education, blockchain offers numerous potential benefits. Although the technology itself is about 15 years old, its application in education began only in 2017 [
8]. Now, seven years after its introduction to the education sector, it is imperative to explore the advantages and disadvantages of blockchain, especially in tech-forward countries like Australia, known for its high readiness to adopt new technologies [
9,
10]. Despite its undeniable potential, the early use of blockchain in education is still evolving [
11,
12,
13,
14]. While studies have highlighted specific benefits, such as blockchain-based micro-credentialing applications [
15], a comprehensive exploration of its full potential is still needed. Similarly, comparative studies on the promises and challenges of blockchain in education require further in-depth analysis [
16]. Moreover, the integration of blockchain with other emerging technologies, such as artificial intelligence (AI), holds significant promise for further transforming educational practices. AI can enhance personalised learning experiences, improve administrative efficiency, and provide more robust data analysis, while blockchain ensures the security and immutability of the data [
8].
Previous systematic reviews have primarily focused on either the prospects or challenges of blockchain in education, without specifically addressing its potential impact on the Australian education system [
7,
11,
17,
18,
19,
20]. Our study aims to bridge this gap by providing a comprehensive review of both the prospects and challenges of blockchain in education, with a particular focus on its implications for the Australian education system.
The rest of the paper is structured as follows:
Section 2 presents the literature review, while the methodology is provided in
Section 3. The results are presented in
Section 4, followed by their discussion in
Section 5.
Section 6 and
Section 7 are dedicated to discussing the role of blockchain in the future of Australian higher education and the transformative potentials of AI. Conclusions are provided in
Section 8.
2. Related Works and Background
The genesis of blockchain technology can be traced back to 2008, when Satoshi Nakamoto introduced a distributed ledger system that became the foundation for Bitcoin. This revolutionary system championed the principles of decentralisation, transparency, and integrity. Each transaction within this system is validated using digital signatures, ensuring legitimacy and trust [
11,
21].
To illustrate the unique nature of blockchain, we can contrast it with conventional digital sharing methods. For instance, when a Microsoft Word document is shared online using Office 365, it is distributed to all users simultaneously, allowing real-time modifications. However, blockchain technology operates on a fundamentally different principle. It functions as a decentralised and distributed ledger where, once data are stored in the blockchain network, they become immutable, preventing any unauthorised alterations and thereby ensuring the integrity of the information.
The process of adding a transaction to the blockchain involves several steps. Initially, a transaction is established and included in a block, which is then broadcast to all participating nodes on the network for verification. The nodes validate the block by verifying transactions, checking cryptographic signatures, and ensuring adherence to consensus rules. Once verified, the block is added to the blockchain. The immutable and tamper-proof nature of the blockchain ensures data security and integrity, completing the transaction process [
22].
Blockchain technology manifests in three primary types: permissioned blockchain (private blockchain), permissionless blockchain (public blockchain), and federated blockchain. Permissioned blockchains operate in a closed environment requiring authorisation, with a central authority controlling permission, making it suitable for organisations that need to maintain control over data access [
23]. In contrast, permissionless blockchains, widely applied in digital currencies, are accessible to anyone at any time, embodying complete decentralisation and allowing for maximum transparency and participation [
24]. Federated blockchains, a hybrid approach, involve a coalition of individuals or entities having the authority to grant permissions, balancing the openness of public blockchains with the control of private ones. Examples of federated blockchains include platforms like Quorum and Corda [
25].
One of the most transformative applications of blockchain technology is smart contracts. These are automated programs written in specific programming languages, such as Solidity for Ethereum or C/C++ for EOS, that codify the terms and conditions of an agreement [
26,
27,
28]. Smart contracts offer several advantages, including the elimination of intermediaries, reduction in transaction expenses, enhanced efficiency and transparency, and improved security and integrity of transactions. Currently, we are in Generation 2.0 of smart contracts, with Generation 3.0 on the horizon, promising to expand smart contract applications beyond their current scope [
29].
The most prominent application of blockchain technology remains in the finance sector, with Bitcoin serving as the flagship example. Bitcoin implements a proof-of-work (PoW) consensus mechanism to validate which blocks are added to the blockchain network [
30]. In this system, a block must solve a complex mathematical problem defined by the network to be added. Once the problem is solved, the block joins the network, and the participant who adds the block (known as a “miner”) is rewarded with cryptocurrency. This mining process serves dual purposes: it ensures the security of the network and facilitates the processing of transactions. However, PoW has faced criticism for its high energy consumption, leading to the development of alternative consensus mechanisms like Proof of Stake (PoS) in newer blockchain implementations.
As blockchain technology continues to evolve, its applications are expanding beyond finance into areas such as supply chain management, healthcare, and education. This expansion brings both opportunities and challenges, particularly in sectors like education where data privacy and credential verification are of paramount importance.
Table 1 outlines the key criteria for implementing blockchain technology in higher education, highlighting its unique attributes and their implications. Each criterion is described in terms of its specific relevance to higher education, with examples provided to illustrate practical applications. The table also outlines the benefits and challenges associated with each criterion, offering a comprehensive overview of the considerations necessary for effective blockchain integration in educational settings.
Based on this analysis of blockchain’s role in higher education, it becomes clear that there are several unexplored opportunities and challenges that merit further investigation. To address these gaps, this study focuses on specific research questions aimed at deepening our understanding of blockchain’s potential and its integration with emerging technologies like artificial intelligence (AI) in the educational context.
2.1. Research Questions
This research seeks to answer the following questions:
What specific advantages does blockchain offer to higher education institutions, and why are these benefits significant for the future of education?
What potential challenges or drawbacks could arise from implementing blockchain in education, and how can these challenges be effectively addressed?
How can the insights from these advantages and challenges inform the future integration of blockchain-based technology within the Australian education system?
What opportunities arise from integrating blockchain with AI in the educational context, and how can these technologies together transform educational practices?
2.2. Contributions
The novelty of this research lies in its comprehensive approach as it makes the following contributions:
Exploration of Blockchain Applications: We categorise potential benefits and challenges through an extensive review of 25 scholarly articles.
Impact Identification: We identify the impacts of blockchain in education by examining previous studies and determining how Australia can learn from global advancements to position its education system at the forefront of innovation.
Highlighting AI Integration: We explore the potential for integrating blockchain with AI to enhance personalised learning, improve administrative efficiency, and provide secure, immutable data analysis.
Highlighting Progress: We highlight the rapid progress of blockchain in education and the necessity for Australian educational institutions to proactively embrace its implications.
3. Methodology
This study employed a two-stage methodology, combining a systematic literature review with elements of a scoping review to comprehensively explore the current landscape of blockchain applications in education. The systematic review process was used to ensure a rigorous selection of relevant papers, while the scoping approach helped map the emerging themes and identify research gaps in the literature.
3.1. Stage 1: Sentometric Search
In the first stage, a sentometric search was conducted over the past five years using the Scopus database. The initial search criteria were “blockchain” AND “education,” which yielded 418 documents published between 2019 and 2024 (see
Figure 1). This search highlighted the progressive interest and research output in blockchain technology within the educational sector over the specified period. The number of documents per year indicates an increasing trend, with 51 documents in 2019, 51 in 2020, 68 in 2021, 96 in 2022, 116 in 2023, and 51 in the first part of 2024. The decision to limit the search to the past five years is grounded in the rapid evolution of blockchain technology and its growing relevance in the educational sector, e.g., given the current developments in blockchain applications, particularly with the recent integration of blockchain and AI in education, which has become more prominent with the emergence of GenAI.
A detailed analysis of the types of documents revealed a predominance of conference papers, accounting for 51.9% of the total documents, followed by journal articles at 28.0% and book chapters at 12.0%. Reviews, editorials, books, and other document types constituted the remaining percentage (see
Figure 2). While conference proceedings represent an active and dynamic discourse around blockchain, particularly in emerging fields, we decided to focus on journal articles for this review due to their higher academic rigor, more thorough peer-review process, and in-depth analysis. Journal articles typically provide greater insights into methodologies, long-term studies, and theoretical frameworks, which are critical for examining the comprehensive implications of blockchain in education. As a result, only peer-reviewed journal articles were included to ensure a high-quality, academically sound analysis of the subject matter. The growth trend in blockchain research is notable. As seen in
Figure 1, the number of research papers increased by 41.67% from 2019 to 2020, by 33.33% from 2020 to 2021, and by 41.18% from 2021 to 2022. Although there was a smaller increase of 20.83% from 2022 to 2023, the overall trend demonstrates an increasing engagement with blockchain technology in the education sector. On average, the number of blockchain research papers from 2019 to 2023 has grown at a rate of approximately 20.5 papers per year, further justifying our focus on recent literature in this rapidly evolving field.
Furthermore, the subject areas of the documents were also diverse, with the majority falling under Computer Science (34.7%), followed by Engineering (17.0%), Social Sciences (13.1%), and Decision Sciences (9.0%). Other notable fields included Mathematics, Business Management, Physics, Energy, Medicine, and Economics (see
Figure 3). This multidisciplinary interest highlights the wide-reaching implications and applications of blockchain technology in various domains of education.
3.2. Stage 2: Systematic Literature Review
The second stage involved a systematic review of the selected papers, followed by a scoping review to explore a broad range of themes and identify gaps in the literature. The systematic review followed the PRISMA guidelines [
31], ensuring that only peer-reviewed journal articles published between 2022 and 2024 were included in the analysis. After this, a scoping approach was employed to explore the emerging themes and research gaps, particularly in areas such as blockchain–AI integration in education.
This combined approach allowed for both rigorous filtering of high-quality papers and a broader exploration of the key trends, themes, and future directions in blockchain education research [
32,
33].
Our inclusion criteria required that the research titles contain the terms “Blockchain” and “Education” (or related terms such as “Higher Learning”, “Higher Education”, “Online Learning”, etc.). To ensure the study reflects the most current research, we limited our selection to peer-reviewed journal articles published between 2022 and 2024. Papers published before 2022, non-journal publications, and those not directly addressing blockchain in education were excluded. Additionally, duplicate papers were eliminated to avoid redundancy.
The selection process followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [
31], as illustrated in
Figure 4.
The initial search yielded 164 papers in total. Through our rigorous screening process, we excluded all papers published before 2022, 72 papers that did not meet research title requirements, 36 papers not published in journals, and 6 duplicate papers. This meticulous process resulted in a final selection of 25 research papers that met all our criteria for full-text analysis.
4. Results
Our analysis of the 25 selected papers reveals important trends in the focus of research on blockchain in education. We categorised these papers based on their primary focus and approach to the topic.
We identified three main types of papers based on their titles and content:
Systematic Reviews: 13 papers (52%);
Application-focused: 7 papers (28%);
Combination of Review and Application: 5 papers (20%).
The predominance of review papers highlights the current state of blockchain in education as an emerging field. These papers typically explore the advantages, disadvantages, opportunities, challenges, prospects, potential, and risks of implementing blockchain in education. The high number of review papers is justified by the need for a comprehensive understanding of the technology’s potential and challenges before widespread implementation [
34,
35,
36,
37,
38,
39,
40].
4.1. Keyword Analysis
Our analysis of keywords across all 25 papers revealed 287 total words, with 152 unique words. The most common keywords, unsurprisingly, were “blockchain” and “education”, followed by “learning” and “technology”. This frequency aligns with our research focus and indicates the central themes in the field.
We also generated a word cloud visualisation,
Figure 5, to represent the keyword metadata visually [
41]. This visualisation helps to quickly identify the most prominent themes and concepts in the research.
4.2. Research Categories
Based on our earlier analysis, we identified three main categories of research focus:
Prospects and Future Applications (40%): These papers explore the potential future of blockchain in education, often in conjunction with other emerging technologies like AI and machine learning. They address both challenges and opportunities, indicating a strong interest in the transformative potential of blockchain.
General Education Applications (40%): These studies focus on current or near-future practical implementations of blockchain in educational settings. The equal distribution between this category and future prospects suggests a balanced approach in the field.
Social Education (20%): These papers examine blockchain’s potential impact on broader societal learning and development, expanding beyond traditional academic boundaries.
This distribution underscores the multifaceted nature of blockchain’s potential in education. The balanced focus on future prospects, current applications, and social implications indicates a mature and forward-thinking research field. Researchers are not only envisioning the future of blockchain in education but also working on immediate, practical implementations and considering its broader societal impact.
The high proportion of review papers, combined with application-focused and hybrid studies, suggests that the field is in a critical phase of evaluating potential, identifying challenges, and moving towards practical implementation. This comprehensive approach is crucial for the successful integration of blockchain technology in educational systems.
5. Discussion and Research Findings
The findings of this study directly relate to the theoretical foundations established in the introduction, particularly in relation to the potential benefits and challenges of blockchain technology in education. By analysing the applications of blockchain across various educational settings, we provide deeper insights into how its key attributes, including decentralisation, transparency, and immutability, can address existing challenges in the Australian education system. Our study, drawing from 25 papers, has revealed numerous ways in which blockchain technology can enhance the education system. We have categorised these benefits and potential drawbacks, drawing parallels to their potential impact on the Australian education system.
5.1. Positive Aspects of Blockchain Technology
Analysis of these papers reveals several significant trends and insights. Blockchain technology in education spans a wide range of applications, from simplifying digital rights management and credential verification [
21] to enabling innovative funding models for higher education [
22]. Multiple studies highlight blockchain’s potential to prevent credential falsification and ensure the integrity of academic records [
7,
35]. The technology also shows promise in solving issues related to resource allocation and copyright enforcement in educational settings [
42].
Several researchers propose using blockchain in conjunction with other technologies to enhance teaching methods and monitor student engagement [
12]. The readiness of leadership appears to be a crucial factor in the successful adoption of blockchain technology in higher education [
43]. Additionally, several studies focus on the potential of blockchain to address educational challenges in developing countries, suggesting its global relevance [
44]. The research extends beyond traditional educational applications, exploring the use of blockchain in areas such as ideological and political education [
45].
These insights from our literature review provide a solid foundation for addressing our research questions regarding the potential benefits, challenges, and future of blockchain-based technology in the Australian education system. By synthesising the most recent research in the field, we can identify emerging trends and draw meaningful conclusions about the implications of blockchain technology for education in Australia and beyond.
Credential Management: This emerged as the most significant application for educational institutions. Studies support the use of blockchain for generating, verifying, and authenticating credentials such as badges and certificates using digital signatures and smart contracts. The system’s security is ensured through immutability and decentralisation [
11,
21,
44,
46,
47].
Recruitment Processes: Blockchain technology enhances recruitment processes by verifying the accuracy of resume data [
47,
48]. In education administration, blockchain offers solutions for storing academic metadata, verifying and generating certificates, and managing educational resources [
21,
24,
38].
E-learning: Blockchain implementation can significantly benefit e-learning by automating enrolment, grading, and certification processes [
6,
7,
13,
44]. It has the potential to reduce learning costs and increase accessibility to millions of learners, particularly in developing countries [
24,
49].
Financial Support: Innovative applications include the development of crowdfunding loan platforms that monitor both students and investors, facilitating agreements on loan terms and conditions through smart contracts [
11].
Future Applications: Blockchain shows potential in virtual environments like the metaverse [
7,
14,
35,
50]. It also demonstrates promise in promoting innovative thinking in political and ideological education [
45], enhancing leadership readiness in educational institutions [
43], and improving blended teaching methods, particularly in health-related fields [
12]. For a summary of the benefits of blockchain in higher education, please refer to
Table 2.
These findings suggest that blockchain technology has the potential to address several challenges in the Australian education system, from credential verification to inclusive access to education and innovative teaching methods. These positive aspects, especially those related to credential management and recruitment processes, reflect the promises highlighted in the introduction regarding the security and transparency blockchain offers to educational institutions. The integration of blockchain into areas like e-learning and financial support furthers the argument for blockchain’s transformative potential within the context of higher education, as initially outlined.
5.2. Negative Aspects of Blockchain Technology
Despite its potential, blockchain’s limitations—such as data immutability and implementation complexity—underscore the caution noted in the introduction regarding its evolving status in education. While the technology offers promising solutions, these challenges must be overcome to fully realise its potential. One primary concern is the technology’s immutability, which makes it difficult to alter data once they are recorded in blocks [
7,
14,
21]. This characteristic, while beneficial for security, can be problematic when dealing with erroneous inputs or when automatic revocation is necessary.
Implementation Complexity: The implementation of blockchain in education faces several strategic management challenges. Despite being introduced over a decade ago, blockchain technology is still in its early stages of development, particularly in the education sector. Its implementation requires thorough testing, robust infrastructure, substantial resources, and forward-thinking management to address its complexities [
24,
43,
44,
46,
51]. For widespread adoption, institutions must actively promote and showcase blockchain’s potential to a broader audience [
38,
46].
Security and Privacy: Security and privacy concerns pose another significant challenge. In public blockchain networks, data become visible to all participants, potentially exposing personal or sensitive information [
7,
14,
24]. Moreover, there is a risk of system compromise if a powerful miner gains control of more than 50% of the computational power [
52,
53]. Regular maintenance and audits are crucial to mitigate these risks.
Environmental Impact: Environmental concerns associated with blockchain technology are also noteworthy. The proof-of-work consensus mechanism, used in many blockchain systems, consumes enormous amounts of electrical energy, contributing to climate change and generating a significant carbon footprint [
11,
40].
Regulatory Compliance: Regulatory compliance presents another hurdle, particularly for international educational institutions. While European institutions must comply with regulations like GDPR, there is a lack of consistent regulatory frameworks in other regions [
11,
35,
49]. This regulatory disparity could complicate the implementation of blockchain solutions across different jurisdictions.
Scalability: Scalability is another critical issue facing blockchain technology in education. As the number of transactions increases, processing times may slow down, leading to higher transaction fees [
6,
40,
44]. This could significantly impact e-learning systems that need to reach a large number of online students [
6]. For a summary of the challenges of blockchain in higher education, please refer to
Table 3.
Addressing these challenges requires careful consideration of blockchain’s limitations, including its environmental impact and regulatory compliance issues. These limitations highlight the need for ongoing research and strategic implementation, which we explore further in
Section 5.3.
5.3. Heatmap Analysis of Benefits and Challenges
To provide a visual summary of the benefits and challenges discussed, a heatmap (
Figure 6) is presented below. This heatmap illustrates the intensity and distribution of the various benefits and challenges associated with blockchain technology in higher education. It shows that while blockchain technology offers substantial benefits in areas like credential management, education administration, e-learning, financial support, and future applications, it also presents significant challenges. These include data immutability, implementation complexity, security and privacy issues, environmental impact, regulatory compliance, and scalability concerns. This balanced view underscores the multifaceted nature of blockchain’s potential and the importance of addressing its drawbacks for successful integration into educational systems.
6. Blockchain in the Future of Higher Education in Australia
This section explores how blockchain can shape the future of the Australian education system. Addressing both the benefits and challenges identified in the literature, we suggest practical solutions and highlight areas for future research. While our study is limited to 25 papers, the broader context suggests significant potential for blockchain technology in Australia’s higher education sector. By 2024, the global blockchain technology market is expected to reach approximately USD 22 billion [
54]. Australia, known for its high level of readiness to adopt new technologies, is well positioned to leverage blockchain’s potential [
9,
10].
Blockchain technology has already shown promise in various Australian industries, including the accounting, finance, aquaculture, grain, supply chain, meat, and energy sectors. It has even demonstrated potential for job creation in remote areas [
55,
56,
57,
58,
59]. This widespread adoption across industries suggests a favourable environment for blockchain implementation in education.
Australia’s higher education sector faces several challenges that blockchain could potentially address. Recent incidents of scientific misconduct, including paper retractions and data manipulation, have raised concerns about academic integrity [
60,
61,
62]. Cases of educators with falsified credentials have been reported [
63], and issues of fictional authors and plagiarism have been identified in academic publications [
61,
62].
Blockchain technology offers potential solutions to these challenges. It can provide immutable, tamper-proof records of academic achievements and research outputs [
7,
21,
38,
44,
46,
47]. Platforms like Blockcerts can issue tamper-proof digital certifications, eliminating the need for third-party verification [
64]. Systems like EduCTX can ensure consistency and integrity in grading across higher education institutions [
65,
66].
Blockchain technology offers several potential benefits in Australian higher education. It can help maintain academic integrity by creating immutable records that secure academic achievements and research outputs, addressing concerns about scientific misconduct and credential falsification. Digital certification platforms like Blockcerts can streamline credential verification, reducing reliance on third-party verification and minimising the risk of fraudulent credentials. Additionally, systems like EduCTX can provide a standardised approach to grading across institutions, ensuring consistency and fairness in academic evaluations. However, implementing blockchain technology in Australian higher education faces several challenges, as shown in
Table 4.
Despite these challenges, the effective integration of blockchain technology could significantly enhance the integrity and efficiency of Australia’s higher education system. Addressing the skill gap through targeted training programs, navigating the regulatory landscape with proactive compliance strategies, and adopting environmentally friendly blockchain solutions are essential steps towards successful implementation.
The successful integration of blockchain in Australian higher education could reinforce the country’s global standing in education quality and innovation, making it a leader in adopting cutting-edge technologies for academic excellence. By leveraging blockchain’s potential, Australia can ensure a more secure, transparent, and efficient educational environment, benefiting students, educators, and institutions alike.
7. The Transformative Potential of Blockchain and Integration of AI in Education
Our comprehensive review of blockchain technology in higher education, particularly in the context of Australia, reveals that the true potential of blockchain lies in its integration with other technologies and applications. This synergy is key to unlocking transformative changes in the education sector.
7.1. Integration of Blockchain with Complementary Technologies
The combination of blockchain and microcredentialing platforms could revolutionise skill acquisition and verification. Learners could accumulate and showcase bite-sized, verified credentials for specific skills, creating a more flexible and responsive education system that aligns closely with industry needs [
15].
Blockchain could enable the creation of DAOs in educational settings, allowing for more democratic and transparent governance of educational institutions. This could transform how decisions are made in universities, potentially increasing student and faculty involvement in institutional management [
43].
The integration of blockchain with Internet of Things (IoT) devices could revolutionise resource management in educational institutions. From tracking library books to managing laboratory equipment, this combination could enhance efficiency and reduce costs [
6].
Combining blockchain with VR technology could create immersive learning experiences that are also verifiable. For instance, medical students could perform virtual surgeries, with their performance securely recorded on the blockchain for assessment and certification purposes [
7,
50].
The combination of blockchain and smart contracts can create a seamless, automated system for degree verification. Future students, employees, and universities could interact with these smart contracts to instantly authenticate academic credentials. This system could significantly reduce fraud and streamline the hiring and admission processes [
7,
21].
7.2. AI and Blockchain for Personalised Learning
The integration of artificial intelligence (AI) and blockchain holds significant promise for revolutionising personalised learning in higher education. AI algorithms, combined with blockchain’s secure and immutable data storage, can analyse vast amounts of learning data to create highly personalised educational pathways. These pathways can adapt in real time to a student’s progress, learning style, and goals. One of the key advantages of this combination is the potential for continuous, adaptive learning. AI can analyse a student’s performance across various subjects and tasks, stored securely on the blockchain, to identify strengths, weaknesses, and learning patterns. This analysis can then be used to adjust the difficulty, pace, and style of content delivery, ensuring that each student is consistently challenged at an appropriate level [
46]. Moreover, AI-powered assessments, with results stored immutably on the blockchain, could provide a more comprehensive and nuanced view of a student’s capabilities, potentially replacing or supplementing traditional grading systems [
13].
The blockchain component also allows for the creation of a lifelong learning record, securely storing a student’s entire educational history, including formal degrees, micro-credentials, and informal learning experiences. This comprehensive record could be invaluable for employers and further education institutions, providing a more holistic view of an individual’s knowledge and skills [
47]. For an overview of applications of AI and blockchain in personalised learning, please refer to
Table 5.
7.3. Case Studies of Blockchain Implementations in Education
To provide concrete examples of blockchain’s successful integration in the education sector, several institutions globally have implemented blockchain-based solutions, offering valuable insights for Australian higher education institutions.
MIT’s Digital Diploma Initiative: This project demonstrates the capacity of blockchain to secure and authenticate academic credentials. As of 2023, MIT has expanded this initiative to include all graduates, issuing blockchain-verified digital diplomas alongside traditional paper certificates. The system now uses the Ethereum blockchain, ensuring credential permanence and eliminating issues related to falsification. While initially facing challenges with user adoption and integration with existing systems, MIT has successfully scaled this initiative to include over 20 universities worldwide.
Blockcerts: Developed by Learning Machine in collaboration with MIT, Blockcerts has been widely adopted by universities to create verifiable digital certificates. In 2022, the University of Melbourne expanded its use of Blockcerts to issue digital credentials for all its microcredentials and short courses, in addition to select graduate programs. This implementation streamlines the credential verification process for both graduates and employers. The University of Melbourne’s experience in navigating Australia’s privacy regulations, particularly in relation to the storage and transmission of student data, provides a valuable case study for other Australian institutions considering blockchain adoption.
EduCTX: This blockchain-based platform, developed by the University of Maribor in Slovenia, has evolved to become a leading solution for standardising academic credit exchanges between institutions. As of 2024, EduCTX has partnered with major blockchain networks to enhance its scalability and interoperability. The platform now facilitates credit transfers among over 50 universities across Europe, Asia, and North America, significantly improving student mobility and credit recognition on a global scale. EduCTX uses a modified version of the ARK blockchain, chosen for its flexibility and energy efficiency.
Sony Global Education: Building on its initial blockchain platform developed with IBM, Sony launched an enhanced version in 2023 that incorporates AI for personalised learning pathways. This system not only securely shares educational records but also uses blockchain to track and verify skills acquired through various learning experiences. Sony’s platform is built on Hyperledger Fabric, a permissioned blockchain framework that allows for fine-grained access control, addressing many of the data privacy concerns inherent in educational record-keeping.
Woolf University: Since its launch, Woolf has continued to innovate in the blockchain education space. In 2024, it introduced a new feature allowing students to earn “nano-degrees”—blockchain-verified microcredentials that can be stacked towards full degrees. Woolf uses smart contracts on the Ethereum blockchain to automate administrative processes and ensure regulatory compliance. While this model presents exciting possibilities, it has faced challenges in gaining recognition from traditional accreditation bodies, highlighting the need for regulatory frameworks to evolve alongside technological innovations.
These case studies underscore the practical applications of blockchain technology in education, demonstrating its potential to enhance credential verification, streamline administrative processes, and facilitate global educational exchanges. They also highlight common challenges, including the following:
Regulatory compliance, particularly regarding data privacy and credential recognition;
Integration with existing IT infrastructure;
User adoption and digital literacy among staff and students;
Scalability and energy efficiency of blockchain networks.
For Australian higher education institutions considering blockchain adoption, these examples offer both inspiration and practical lessons. The University of Melbourne’s implementation of Blockcerts provides a local example of navigating Australia’s regulatory landscape, particularly in terms of aligning blockchain-based credentialing with the Australian Qualifications Framework (AQF) and addressing privacy concerns under the Australian Privacy Principles (APPs).
Moreover, as Australia continues to position itself as a leader in international education, blockchain solutions like EduCTX could potentially streamline credit recognition for international students and facilitate easier qualification recognition for Australian graduates seeking opportunities abroad. However, successful implementation will require careful consideration of local regulatory frameworks, data privacy concerns, and the specific needs of Australian institutions and students. As the technology matures and more case studies emerge, Australian institutions will be better positioned to leverage blockchain’s potential while addressing its challenges, potentially revolutionising credential management, administrative efficiency, and international collaboration in higher education.
7.4. Challenges and Future Directions
These integrated applications of blockchain technology have the potential to address key challenges in the Australian education system, such as credential fraud, personalisation of learning, and the need for more flexible, industry-aligned skill acquisition. However, realising this potential will require overcoming significant challenges.
Developing the necessary technological infrastructure and expertise remains a key hurdle [
51]. There is a shortage of educators and administrators with the necessary expertise to manage and implement blockchain technology effectively [
38,
44,
46].
Evolving regulations may impact blockchain implementation. Compliance with local and international regulations will be crucial for successful implementation [
14,
21,
40]. Creating supportive regulatory frameworks will be essential to navigate the complex landscape of education and technology [
11,
35,
49].
Addressing privacy and data protection concerns is crucial for widespread adoption [
7,
24]. Ensuring that student data remain secure and private is paramount.
The power consumption associated with blockchain systems, particularly those using proof-of-work consensus mechanisms, raises concerns about their environmental sustainability [
11,
40]. Mitigating the environmental impact of blockchain technology is a critical consideration for sustainable implementation. A mindmap presented in
Figure 7 illustrates the intricate relationships between AI and blockchain technologies in the educational context. It expands upon the concepts discussed earlier, providing a more comprehensive view of how these technologies interact and influence various aspects of the learning process. The diagram highlights not only the core components and processes but also the far-reaching benefits and future implications of integrating AI and blockchain in education. While blockchain offers immense potential in education, the limitations identified including skill shortage, regulatory challenges, and environmental impact need to be addressed to ensure its successful implementation. Future research should focus on overcoming these obstacles, particularly by developing blockchain-friendly regulatory frameworks and addressing the technological infrastructure needed to support widespread adoption. Additionally, exploring the integration of blockchain with emerging technologies like AI could open new research pathways, ensuring that blockchain’s role in education continues to evolve alongside other advancements.
8. Conclusions
This study has conducted a comprehensive analysis of blockchain technology’s potential applications in the Australian higher education system. The research findings indicate that blockchain technology offers significant opportunities to address critical issues in academic integrity, credential verification, and administrative efficiency. The advantages of blockchain implementation in education are multifaceted, encompassing enhanced security and transparency in credential management, streamlined administrative processes, improved e-learning platforms, and novel mechanisms for educational funding. However, the research also identified several challenges that need to be addressed, including technical implementation hurdles, regulatory compliance issues, environmental concerns related to energy consumption, data privacy and security risks, and scalability limitations. The potential of blockchain to combat academic fraud in the Australian education system is particularly noteworthy. Through features such as tamper-proof digital certificates, immutable records, and smart contracts, blockchain technology could significantly enhance the integrity of academic credentials and research outputs.
For successful integration of blockchain technology, Australian higher education institutions must prioritise the development of robust technological infrastructure, implement comprehensive staff training programs, address environmental and energy consumption concerns, ensure regulatory compliance, and implement strong data security measures. One limitation of this study is its focus on a small sample size of 25 papers, which may limit the generalisability of the findings across broader educational contexts. Moreover, the exclusion of conference papers may have overlooked some emerging research insights. While blockchain offers substantial benefits, its implementation requires careful consideration of potential risks and limitations. For instance, the complexity of data input and validation within blockchain networks could present challenges in error correction and record revocation.
Future lines of research should explore more extensive datasets, including conference proceedings, and investigate blockchain’s scalability in large-scale educational systems. Additionally, research into cross-industry applications of blockchain, along with its integration with technologies like AI, could provide further insight into how blockchain can revolutionise not only higher education but also broader educational ecosystems. Future research directions should focus on the quantitative evaluation of blockchain-based systems in educational contexts, the development and testing of blockchain applications tailored to Australian educational needs, and comparative studies of blockchain efficiency against traditional systems. As blockchain technology continues to evolve, its integration with other emerging technologies may further transform the educational landscape, necessitating continued study and adaptive implementation strategies. The successful adoption of blockchain in Australian higher education could not only address current challenges but also position Australia as a leader in innovative educational technologies on the global stage.
Author Contributions
Conceptualisation, M.E. and E.G.; Methodology, M.E.; Formal Analysis, M.E.; Investigation, K.W. and S.K.; Resources, K.W. and S.K.; Data Curation, K.W. and S.K.; Writing—Original Draft Preparation, K.W. and S.K.; Writing—Review and Editing, M.E. and S.K; Visualisation, M.E.; Supervision, E.G.; Project Administration, E.G.; Funding Acquisition, E.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
All data are included in the article.
Acknowledgments
We acknowledge the responsible use of the AI language model ChatGPT for assistance with proofreading, editing, and language refinement in this manuscript. This tool was used responsibly to enhance the clarity and readability of our work, while all original ideas, analyses, and conclusions remain the sole product of the authors. We affirm that the use of this AI tool does not detract from the originality or integrity of our research.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Haddad, A.; Habaebi, M.H.; Islam, M.R.; Hasbullah, N.F.; Zabidi, S.A. Systematic review on ai-blockchain based e-healthcare records management systems. IEEE Access 2022, 10, 94583–94615. [Google Scholar] [CrossRef]
- Soori, M.; Dastres, R.; Arezoo, B. Ai-powered blockchain technology in industry 4.0, a review. J. Econ. Technol. 2024, 1, 222–241. [Google Scholar] [CrossRef]
- Taherdoost, H. Blockchain technology and artificial intelligence together: A critical review on applications. Appl. Sci. 2022, 12, 12948. [Google Scholar] [CrossRef]
- Nakamoto, S. Bitcoin: A peer-to-peer electronic cash system. Satoshi Nakamoto 2008, 4, 15. Available online: https://bitcoin.org/bitcoin.pdf (accessed on 29 September 2024).
- Boutkhoum, O.; Hanine, M.; Nabil, M.; El Barakaz, F.; Lee, E.; Rustam, F.; Ashraf, I. Analysis and evaluation of barriers influencing blockchain implementation in Moroccan sustainable supply chain management: An integrated IFAHP-DEMATEL framework. Mathematics 2021, 9, 1601. [Google Scholar] [CrossRef]
- Bidry, M.; Ouaguid, A.; Hanine, M. Enhancing e-learning with blockchain: Characteristics, projects, and emerging trends. Future Internet 2023, 15, 293. [Google Scholar] [CrossRef]
- Rustemi, A.; Dalipi, F.; Atanasovski, V.; Risteski, A. A systematic literature review on blockchain-based systems for academic certificate verification. IEEE Access 2023, 11, 64679–64696. [Google Scholar] [CrossRef]
- Ocheja, P.; Agbo, F.J.; Oyelere, S.S.; Flanagan, B.; Ogata, H. Blockchain in education: A systematic review and practical case studies. IEEE Access 2022, 10, 99525–99540. [Google Scholar] [CrossRef]
- Hong, W.; Chan, F.K.; Thong, J.Y.; Chasalow, L.C.; Dhillon, G. A framework and guidelines for context-specific theorizing in information systems research. Inf. Syst. Res. 2014, 25, 111–136. [Google Scholar] [CrossRef]
- Malik, S.; Chadhar, M.; Vatanasakdakul, S.; Chetty, M. Factors affecting the organizational adoption of blockchain technology: Extending the technology–organization–environment (TOE) framework in the Australian context. Sustainability 2021, 13, 9404. [Google Scholar] [CrossRef]
- El Koshiry, A.; Eliwa, E.; Abd El-Hafeez, T.; Shams, M.Y. Unlocking the power of blockchain in education: An overview of innovations and outcomes. Blockchain Res. Appl. 2023, 4, 100165. [Google Scholar] [CrossRef]
- Liu, S.; Li, C. Analysis of the mixed teaching of college physical education based on the health big data and blockchain technology. PeerJ Comput. Sci. 2023, 9, e1206. [Google Scholar] [CrossRef] [PubMed]
- Zhao, M.; Liu, W.; Saif, A.N.M.; Wang, B.; Rupa, R.A.; Islam, K.A.; Rahman, S.M.; Hafiz, N.; Mostafa, R.; Rahman, M.A. Blockchain in online learning: A systematic review and bibliographic visualization. Sustainability 2023, 15, 1470. [Google Scholar] [CrossRef]
- Alhabeeb, S.; Alrusayni, N.; Almutiri, R.; Alhumud, S.; Al-Hagery, M.A. Blockchain and machine learning in education: A literature review. Int. J. Artif. Intell. 2024, 13, 16. [Google Scholar] [CrossRef]
- Alsobhi, H.A.; Alakhtar, R.A.; Ubaid, A.; Hussain, O.K.; Hussain, F.K. Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review. Knowledge 2023, 265, 110238. [Google Scholar] [CrossRef]
- Park, J. Promises and challenges of Blockchain in education. Smart Learn. Environ. 2021, 8, 33. [Google Scholar] [CrossRef]
- Bhaskar, P.; Tiwari, C.K.; Joshi, A. Blockchain in education management: Present and future applications. Interact. Technol. Smart Educ. 2021, 18, 1–17. [Google Scholar] [CrossRef]
- de Souza-Daw, T.; Ross, R. Fraud in higher education: A system for detection and prevention. J. Eng. Des. Technol. 2023, 21, 637–654. [Google Scholar] [CrossRef]
- Lutfiani, N.; Apriani, D.; Nabila, E.A.; Juniar, H.L. Academic certificate fraud detection system framework using blockchain technology. Blockchain Front. Technol. 2022, 1, 55–64. [Google Scholar] [CrossRef]
- Shalim, N. Application of Blockchain Technology for Innovation in the Education Sector. Enigm. Educ. 2023, 1, 44–49. [Google Scholar] [CrossRef]
- Ali, A.A.M.A.; Mabrouk, M.; Zrigui, M. A review: Blockchain technology applications in the field of higher education. J. Hunan Univ. Nat. Sci. 2022, 49, 10. [Google Scholar] [CrossRef]
- Asamoah, K.O.; Darko, A.P.; Antwi, C.O.; Kodjiku, S.L.; Aggrey, E.S.E.; Wang, Q.; Zhu, J. A blockchain-based crowdsourcing loan platform for funding higher education in developing countries. IEEE Access 2023, 11, 24162–24174. [Google Scholar] [CrossRef]
- Polge, J.; Robert, J.; Le Traon, Y. Permissioned blockchain frameworks in the industry: A comparison. Ict Express 2021, 7, 229–233. [Google Scholar] [CrossRef]
- Alshareef, N. Investment opportunity of blockchain technology in the education sector of Saudi Arabia: A systematic literature review. In Proceedings of the Frontiers in Education; Frontiers Media SA.: Lausanne, Switzerland, 2022; p. 911126. [Google Scholar]
- Merlec, M.M.; Islam, M.M.; Lee, Y.K.; In, H.P. A consortium blockchain-based secure and trusted electronic portfolio management scheme. Sensors 2022, 22, 1271. [Google Scholar] [CrossRef] [PubMed]
- Jin, L.; Cao, Y.; Chen, Y.; Zhang, D.; Campanoni, S. Exgen: Cross-platform, automated exploit generation for smart contract vulnerabilities. IEEE Trans. Dependable Secur. Comput. 2022, 20, 650–664. [Google Scholar] [CrossRef]
- Kushwaha, S.S.; Joshi, S.; Singh, D.; Kaur, M.; Lee, H.-N. Systematic review of security vulnerabilities in ethereum blockchain smart contract. IEEE Access 2022, 10, 6605–6621. [Google Scholar] [CrossRef]
- Liu, Z.; Qian, P.; Yang, J.; Liu, L.; Xu, X.; He, Q.; Zhang, X. Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting. IEEE Trans. Inf. Secur. 2023, 18, 1237–1251. [Google Scholar] [CrossRef]
- Lin, S.-Y.; Zhang, L.; Li, J.; Ji, L.-l.; Sun, Y. A survey of application research based on blockchain smart contract. Wirel. Netw. 2022, 28, 635–690. [Google Scholar] [CrossRef]
- John, K.; O’Hara, M.; Saleh, F. Bitcoin and beyond. Annu. Rev. Financ. Econ. 2022, 14, 95–115. [Google Scholar] [CrossRef]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
- Wangsa, K.; Chugh, R.; Karim, S.; Sandu, R. A comparative study between design thinking, agile, and design sprint methodologies. Int. J. Agil. Syst. Manag. 2022, 15, 225–242. [Google Scholar] [CrossRef]
- Wangsa, K.; Karim, S.; Gide, E.; Elkhodr, M. A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok. Future Internet 2024, 16, 219. [Google Scholar] [CrossRef]
- Karim, S. The challenges and opportunities of E-banking adoption for small to mid-sized enterprises-SMEs in Jordan. In Proceedings of the 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), Amman, Jordan, 9–11 April 2019; pp. 883–888. [Google Scholar]
- Samala, A.D.; Mhlanga, D.; Bojić, L.; Howard, N.-J.; Pereira Coelho, D. Blockchain technology in education: Opportunities, challenges, and beyond. Int. J. Interact. Mob. Technol. 2024, 18, 20–42. [Google Scholar] [CrossRef]
- Sandu, N.; Gide, E. A model for successful adoption of cloud-based services in Indian SMEs. In Proceedings of the 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud), Istanbul, Turkey, 26–28 August 2019; pp. 169–174. [Google Scholar]
- Chaka, C. Fourth industrial revolution—A review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Res. Pract. Technol. Enhanc. Learn. 2023, 18, 2. [Google Scholar] [CrossRef]
- Dziatkovskii, A. Blockchain in education: Problems and prospects. J. Sci. LYON Учредители Glob. Sci. Cent. LP 2022, 34, 17–20. [Google Scholar]
- Khandade, S.; Mahagaonkar, S.; Kavthekar, S.; Solanki, P.; Tiwari, D.; Shelke, P. Blockchain in Education—A Review. Adv. IoT Blockchain Technol. Appl. 2023, 2, 1–6. [Google Scholar]
- Mohammad, A.; Vargas, S. Challenges of using blockchain in the education sector: A literature review. Appl. Sci. 2022, 12, 6380. [Google Scholar] [CrossRef]
- Mambang, M. A Framework for Illegal Online Loan Risk Using Word Cloud and Big Data Analytics. Int. J. Adv. Sci. Eng. Inf. Technol. 2023, 12, 2391–2397. [Google Scholar] [CrossRef]
- Pan, X.; Li, X. A Review of the Application Research of “Blockchain+ Education Resources”. J. Educ. Humanit. Soc. Sci. 2023, 14, 263–268. [Google Scholar] [CrossRef]
- Toader, D.-C.; Toader, C.; Boca, G.; Toader, R.; Rădulescu, A. The Adoption of Blockchain Technology in Higher Education: The Impact of Leadership Readiness. Int. J. Organ. Lead. 2023, 12, 133–155. [Google Scholar] [CrossRef]
- Islam, M.A.; Shuvo, S.A. Blockchain technology: A tool to solve the challenges of the education sector in developing countries. Int. J. Comput. Syst. Eng. 2024, 8, 75–86. [Google Scholar] [CrossRef]
- Liu, X.; Liu, X.; Guo, Z. Analysis on the thinking innovation of ideological and political education based on the theory of blockchain in the information age. In Proceedings of the 2020 3rd International Conference on Smart BlockChain (SmartBlock), Zhengzhou, China, 23–25 October 2020; pp. 119–124. [Google Scholar]
- Ocheja, P.; Flanagan, B.; Ogata, H.; Oyelere, S.S. Visualization of education blockchain data: Trends and challenges. Interact. Learn. Environ. 2023, 31, 5970–5994. [Google Scholar] [CrossRef]
- VAEZINEJAD, S.; Ying, C.; KOUHIZADEH, M.; OZPOLAT, K. Blockchain Technology for Higher Education and Recruitment: A Systematic Literature Review. Eurasian J. Bus. Econ. 2024, 17, 1–27. [Google Scholar] [CrossRef]
- Ingold, P.V.; Langer, M. Resume = Resume? The effects of blockchain, social media, and classical resumes on resume fraud and applicant reactions to resumes. Comput. Hum. Behav. 2021, 114, 106573. [Google Scholar] [CrossRef]
- Iyer, S.; Jain, S.; Subramanian, S.; Jain, I. Adopting a Student Centric Education Blockchain System. Int. J. Inf. Commun. Sci. 2022, 7, 48–65. [Google Scholar]
- Leung, A.C.; Liu, D.Y.; Luo, X.; Au, M.H. A constructivist and pragmatic training framework for blockchain education for IT practitioners. Educ. Inf. Technol. 2024, 29, 15813–15854. [Google Scholar] [CrossRef]
- Kwok, A.O.; Treiblmaier, H. No one left behind in education: Blockchain-based transformation and its potential for social inclusion. Asia Pac. Educ. Rev. 2022, 23, 445–455. [Google Scholar] [CrossRef]
- Aponte-Novoa, F.A.; Orozco, A.L.S.; Villanueva-Polanco, R.; Wightman, P. The 51% attack on blockchains: A mining behavior study. IEEE Access 2021, 9, 140549–140564. [Google Scholar] [CrossRef]
- Lund, B. Blockchain Applications in Higher Education Based on the NIST Cybersecurity Framework. J. Cybersecur. Educ. Res. Pract. 2024, 2024, 18. [Google Scholar] [CrossRef]
- Bratanova, A.; Devaraj, D.; Horton, J.; Naughtin, C.; Kloester, B.; Trinh, K.; Weber, I.; Dawson, D. Blockchain 2030: A Look at the Future of Blockchain in Australia. 2019. Available online: https://econpapers.repec.org/paper/pramprapa/113843.htm (accessed on 30 May 2024).
- Monroe, J.G.; Hansen, P.; Sorell, M.; Berglund, E.Z. Agent-based model of a blockchain enabled peer-to-peer energy market: Application for a neighborhood trial in Perth, Australia. Smart Cities 2020, 3, 1072–1099. [Google Scholar] [CrossRef]
- Dyball, M.C.; Seethamraju, R. Client use of blockchain technology: Exploring its (potential) impact on financial statement audits of Australian accounting firms. Account. Audit. Account. J. 2022, 35, 1656–1684. [Google Scholar] [CrossRef]
- Garrard, R.; Fielke, S. Blockchain for trustworthy provenances: A case study in the Australian aquaculture industry. Technol. Soc. 2020, 62, 101298. [Google Scholar] [CrossRef]
- Gunasekera, D.; Valenzuela, E. Adoption of blockchain technology in the australian grains trade: An assessment of potential economic effects. Econ. Pap. A J. Appl. Econ. Policy 2020, 39, 152–161. [Google Scholar] [CrossRef]
- Mapa Mudiyanselage, C.; Perera, P.; Grandhi, S. A Blockchain-based model for the prevention of superannuation fraud: A study of Australian Super Funds. Appl. Sci. 2023, 13, 9949. [Google Scholar] [CrossRef]
- Mannix, L. ‘I Lose Sleep at Night’: Experts Fight to Expose Science Fraud in Australia. 2023. Available online: https://www.smh.com.au/national/i-lose-sleep-at-night-experts-fight-to-expose-science-fraud-in-australia-20230626-p5djj6.html (accessed on 29 September 2024).
- Worthington, E. Swinburne University Researcher Has 30 Papers Retracted, Loses Job. 2019. Available online: https://www.abc.net.au/news/2019-10-26/swinburne-university-researcher-has-30-papers-retracted/11641136 (accessed on 29 September 2024).
- Worthington, E. Death Threats, Ghost Researchers and Sock Puppets: Inside the Weird, Wild World of Dodgy Academic Research. 2022. Available online: https://www.abc.net.au/news/2022-01-31/on-the-trail-of-dodgy-academic-research/100788052 (accessed on 29 September 2024).
- Tran, d. Victorian Teacher Who Faked Qualifications for Decades Was ‘Outstanding’ Educator, Leading Australian Scientist Says. 2021. Available online: https://www.abc.net.au/news/2021-03-03/former-teacher-who-faked-qualifications/13211672 (accessed on 29 September 2024).
- Ma, Y.; Fang, Y. Current status, issues, and challenges of blockchain applications in education. Int. J. Emerg. Technol. Learn. (IJET) 2020, 15, 20–31. [Google Scholar] [CrossRef]
- Raimundo, R.; Rosário, A. Blockchain system in the higher education. Eur. J. Investig. Health Psychol. Educ. 2021, 11, 276–293. [Google Scholar] [CrossRef]
- Turkanovi, M.; Hlbl, M.; Koi, K.; Heriko, M.; Kamiali, A. EduCTX: A blockchain-based higher education credit platform. IEEE Access 2018, 6, 5112–5127. [Google Scholar] [CrossRef]
| Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).