With the National Credit Framework (NCrF), introduced as part of NEP 2020, it is expected that students can shift between degree and diploma programs, between colleges and universities, based on their choice. Are our colleges and universities ready to implement a credit transfer system that enables seamless transfer of credits between institutions? And remember, assessments play a crucial role in creditizing learning!
So, how do we ensure student achievements are aptly recognized across India, with reference to NCrF? How are we leveraging technology to award the credits and bring in much-needed transparency and credibility in the assessment process?
The answer lies in Blockchain and AI! While Blockchain provides a secure, tamper-proof credit ledger, AI helps in mapping and validating course equivalences when students move between institutions. Let’s delve deeper into how these technologies will power the future of NCrF.
The role of AI and Blockchain in assessments
By integrating Blockchain for secure credential storage and AI for smart, fair assessments, India can create a robust, transparent, and lifelong learning ecosystem.
This ensures that:
- Skill credits are portable across schools, colleges, and workplaces
- Assessments are fair, tamper-proof, and industry-relevant
- Learners can upskill anytime, anywhere, with recognized micro-credentials
Example – Use of AI and Blockchain through assessments
Let’s assume Sunita, a Diploma student in Electrical Engineering completes her course at a polytechnic in Telangana. As a part of the assessments, she was tested on her knowledge and skills in circuit design, troubleshooting, and renewable energy systems. And, based on her performance she earned 20 credits and stored them in the Academic Bank of Credits (ABC).
Sunita is keen on joining a B.Tech in Electrical Engineering at a university. And when she joins the program, the university can check her Diploma credits and if applicable, exempt her from a certain part of the course.
How AI and Blockchain work in the backend
What’s happening in the backend when the assessments are administered and the credits are awarded? It’s the AI and Blockchain that play a major role in providing a seamless experience for the students and the university administration.
- The AI-based practical assessments validate her knowledge and skills and blockchain ensures tamper-proof storage of credits. Later, AI-driven credit mapping analyses the diploma coursework and matches it with B.Tech curriculum requirements.
- AI compares Sunita’s diploma courses with the university’s B.Tech syllabus. Since Sunita has already completed basic Electrical Engineering courses, AI automatically recommends exemptions from 1st-year subjects like Basic Electrical Engineering and Circuit Theory.
- This means Sunita enters B.Tech directly into the second year, making learning more efficient and cost-effective. This is subject to university’s approval of admission into the second year and allowing Sunita to start B.Tech without repairing the coursework.
This seamless transition demonstrates how AI and Blockchain can streamline credit transfers and improve mobility within the education system.
Blockchain in assessments
Blockchain plays a pivotal role in assessments and credit transfers by ensuring:
- Transparency and trust by eliminating fraudulent qualifications and ensures fair evaluation, particularly in competency-based assessments
- Tamper-proof credentialing maintains security and authenticity of assessment results, making certificates and credits immutable and verifiable
- Decentralized learning records through secure storage of students’ skill progress, micro-credentials, and credits under NCrF for anytime anywhere access
- Smart contracts for automated evaluation of skills once assessments are completed, streamlining credit transfers
- Smart Contracts for Automated Evaluations – Blockchain can trigger automatic recognition of skills once assessments are completed, streamlining credit transfers
AI in assessments
AI introduces efficiency and fairness in assessments through:
- Advanced proctoring and integrity checks through facial recognition and behavioral analytics can detect cheating or impersonation during remote exams.
- Automated and adaptive testing through personalized assessments based on the learner’s progress, adjusting difficulty levels in real-time
- Instant feedback and analytics based on assessment responses to provide instant feedback, helping learners improve continuously.
- Skills-based assessments using AI simulations to assess practical skills that replicate real life situations
- Credit Mapping by matching assessment results with predefined skill frameworks under NCrF, ensuring seamless integration of learning credits
Also read: Outcome-based assessments, skill credits, and government initiatives explained
AI in assessments in skills and vocational training
Here are two examples of how skills and vocational training can benefit from AI-based assessments for mobility, equivalence and recognition of prior learning.
- Retail industry: A diploma student in Retail takes up an AI-driven skills test using Virtual Reality (VR) to test services skills like customer handling, inventory management etc and the results are analysed in real time. The assessment scores are mapped with credit level as per NCrF and the credits are awarded and stored in ABC.
- Recognition of Prior Learning (RPL): A working professional in Hospitality with 10 years of experience and no formal qualification applies for RPL under NCrF. The AI- driven assessment included testing of practical skills through video based tests and simulations. If this candidate qualifies as per standards, she can get certified as per NSQF level, earn credits and store them for future use in higher education.
AI and Blockchain in credit transfers and assessments
The integration of AI and Blockchain in NCrF is set to revolutionize how credits are transferred and assessed. By eliminating manual verification, ensuring instant retrieval of records, and providing fair and tamper-proof assessments, these technologies will drive efficiency and transparency. AI-powered credit mapping will accelerate admission processes, while Blockchain will secure credentials, promoting seamless mobility between academic programs. As India moves towards a more skill-based education system under NEP 2020, the synergy of AI and Blockchain will be instrumental in building a future-ready, learner-centric ecosystem.
If you wish to learn more about NEP 2020 and NCrF, please contact us by sending a mail to contact@nationalskillsnetwork.com.
