Veri Once's Global Academic Credit Bank (GACB) produces prior learning reports that offer unmatched precision and reliability, leveraging our global verification and evaluation capabilities on a blockchain-secured platform.

Institution Benefit: Elevate your institution’s ability to assess and acknowledge prior learning with our specialized RPL services.

Individual Benefit: Empower students and individuals by providing them with formal recognition of their prior learning and experiences, helping them advance their education and career goals more efficiently and affordably.

Veri Once specializes in evaluating the skills and knowledge students have acquired inside and outside the traditional classroom, recognizing their competence against established standards. Our approach considers evidence of competence from all aspects of an applicant's professional and personal life duly verified and evaluated.

The distinct advantage of Veri Once GACB Reports lies in our universal capability to verify and evaluate a wide range of credentials, documents, references, and work experiences, globally. We ensure that every piece of evidence provided by the applicant is thoroughly verified at its source, allowing for a true and comprehensive assessment of prior learning.

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The Technology Behind GACB

Our technology is blockchain-based, meaning our application has been built on top of enterprise-grade blockchain technology that utilizes Hyper Ledger Fabric and Amazon Web Services cloud computing. 

Blockchain provides the foundation for secure, immutable storage of prior learning reports, adding AI and machine learning has transformed GACB into a "learning" academic bank that grows smarter over time, optimizing the recognition of prior learning and enhancing educational pathways.

1. Storing Prior Learning Reports Securely

Veri Once securely stores all verified Prior Learning Reports in individual digital wallets (for students) or digital vaults (for institutions), ensuring that each report is tamper-proof, verifiable, and easily accessible. These reports can include academic records, professional certifications, and even work experience evaluations.

2. A learning Global Academic Credit Bank

Over time, as more Prior Learning Reports are stored, Veri Once will act as an "academic bank" of knowledge. The GACB houses a growing collection of verified prior learning data across various fields and disciplines, creating a rich repository of academic and experiential learning histories. Institutions and learners could tap into this resource for future evaluations, reducing redundancy and increasing efficiency.

3. Integrating AI and Machine Learning

To make the academic bank more intelligent, Veri Once will integrate machine learning algorithms that analyze the stored prior learning data. By "learning" from these reports, the system can:

Pattern Recognition: Identify common learning pathways, career progressions, or skill sets across various industries and institutions. These help tailor recommendations for students seeking credit recognition or academic advice.

Credit Matching and Optimization: The system will automatically suggest equivalent academic credits based on historical data from other students’ prior learning assessments. Over time, this could improve the accuracy and consistency of credit recognition across institutions.

Predictive Insights: By analyzing the collected data, the platform will predict future learning trends, helping institutions understand what types of prior learning experiences are most valuable or sought after.

Automated Recommendations: For both students and institutions, the platform will generate personalized recommendations for additional coursework, certifications, or career paths based on the student’s previous learning history and the trends observed in similar reports.

4. Creating an Ecosystem for Continuous Learning

The GACB will evolve into a dynamic ecosystem where institutions, students, and even employers contribute learning data. Over time, it will serve as a comprehensive tool for validating and recognizing lifelong learning experiences. It will facilitate cross-institutional credit transfers by using the blockchain to verify credentials and learning history across different academic systems.

5. Data Privacy and Control

With blockchain technology, students and institutions retain full control over their data, ensuring that the "learning" process respects privacy. Individuals would decide who can access their prior learning reports, and machine learning models are built in ways that anonymize personal data while still allowing the system to learn from collective trends.

Ready to enhance your institution's recognition of prior learning? Contact us today to learn how Veri Once can support your academic goals.