Dr.Vivek Kapur has been appointed a "Margdarshak" by AICTE and an evaluator by the NBA and NAAC. He has participated in delegations to top universities worldwide and has multiple leadership roles within his institution and beyond.

Dr. Vivek Kapur has actively contributed to national initiatives on quality assurance, delivered 20+ expert talks on Outcome-Based Education, and conducted workshops on institutional vision, mission, and course mapping. 

INDIAai interviewed Dr Vivek Kapur to get his perspective on AI.

With your extensive experience in Outcome-Based Education (OBE), how do you see AI transforming the implementation and assessment of OBE frameworks in technical institutions?

AI has the potential to significantly enhance the implementation and assessment of Outcome-Based Education (OBE) frameworks in technical institutions. Here’s how:

• Personalized Learning: AI can analyze individual student performance data to tailor educational content and teaching methods to meet diverse learning needs. This personalization helps ensure that each student achieves the desired outcomes.
• Predictive Analytics: AI-driven analytics can identify trends and patterns in student performance, predicting which students might need additional support. It enables proactive interventions to help students meet their learning outcomes.
• Automated Assessment: AI can streamline and automate the grading process, providing instant feedback on assignments and assessments. This efficiency allows educators to focus more on interactive and formative aspects of teaching.
• Adaptive Learning Systems: AI-powered adaptive learning platforms can adjust the difficulty and nature of instructional materials based on real-time assessments of student progress, ensuring that learning activities align with the desired outcomes.

So, AI can make the implementation and assessment of OBE frameworks more efficient, personalized, and data-driven, ultimately leading to improved educational outcomes and better alignment with institutional goals.

As someone deeply involved in strategic planning and quality enhancement, what role do you envision AI playing in improving technical education standards across India?

Quality Assurance: AI can help monitor and assess teaching effectiveness through real-time feedback and performance metrics. Automated systems can identify areas where instructional quality can be improved and suggest actionable strategies.

Accreditation and Compliance: AI tools can streamline the accreditation process by organizing and analyzing documentation, tracking compliance with standards, and ensuring educational programs meet the required quality benchmarks.

Skill Gap Analysis: AI can analyze the skills and competencies required by industry and compare them with those imparted through education programs. This analysis helps institutions address skill gaps and align their training with market demands.

Enhanced Collaboration: AI-driven platforms can facilitate collaboration between educational institutions, industry stakeholders, and policymakers, ensuring that technical education programs are continuously updated and improved based on collective feedback.

AI can support a more responsive, data-informed approach to enhancing technical education standards, leading to better alignment with industry needs, improved student outcomes, and overall advancement in educational quality across India.

You have delivered numerous expert talks on CO, PO, and PSO mapping. Could you share your insights on how AI could be utilized to automate and improve the accuracy of these mappings and their attainment tracking?

Automated Mapping: AI can automate the process of mapping COs to POs and PSOs by analyzing curriculum documents, syllabi, and assessment criteria. Natural Language Processing (NLP) tools can parse through textual data to identify and match relevant terms and objectives, thereby streamlining the mapping process.

Reporting and Visualization: AI can generate comprehensive reports and visualizations that help educators and administrators understand attainment trends and gaps. It can help them make data-driven decisions about curriculum improvements and resource allocation.

By leveraging these AI capabilities, educational institutions can achieve more accurate and efficient CO, PO, and PSO mapping, leading to better academic outcomes and effective teaching strategies.

Based on your experience visiting and evaluating institutions globally, how do you compare India's adoption of AI in education with other countries? What lessons can we learn from these global counterparts?

India is developing and refining its AI policies. Initiatives like the National Education Policy (NEP) 2020 are steps in the right direction, but comprehensive policies must be further developed.

How do you envision AI transforming the Indian education sector, particularly technical institutions?

AI has the potential to revolutionize the Indian technical education sector by enhancing personalized learning, improving administrative processes, generating advanced learning resources, supporting research, and preparing students for the job market. Embracing these AI-driven innovations can lead to a more efficient, inclusive, and forward-looking educational system.

What are the potential challenges and limitations of implementing AI in educational institutions, and how can they be addressed?

There are many challenges, but addressing a few will require more infrastructure, funds, and quality professors in the AI domain. If we can get more support from government/funding agencies to build, establish, and run more AI facility labs/courses, it will be a blessing to our programs.

Looking ahead, how do you foresee AI shaping the future of technical education in India, and what steps should institutions take now to prepare for this transformation?

AI has already entered education a long time ago. It's time to re-nurture it with quality courses the respective colleges offer in collaboration with Industry. All AI programs must focus on critical thinking via laboratory practicals. More awareness programs will help aspirants and their parents understand the potential of AI in India, which will provide substantial job opportunities to their wards.

What advice would you offer to students in schools who aspire to pursue an education in artificial intelligence?

AI is taking the world by storm, but I advise you to see this positively. I want all upcoming aspirants to work and think in this direction to make humanity effortless in various domains with easy accessibility. It is the future, and it comes with responsibilities. If you have that devotion and fire within, AI is for you, and we welcome you to GHRCEMN.