education@ficci.com 7378697114

 

This category recognizes institutions that have made significant progress in enhancing core infrastructure, capabilities and teaching practices, from curriculum design to content creation, classroom delivery, assessments, grading, student feedback & mentoring, analytics, faculty and inter-disciplinary collaboration and research using Artificial Intelligence.

Submission Guidelines

Showcase one specific initiative, project, or model implemented by your institution to drive AI and digital transformation in teaching and learning.

The case study must clearly address:

  • The problem or need being addressed (e.g., gaps in teaching effectiveness, scalability, personalization, assessment limitations)
  • The target beneficiaries (courses, programs, faculty, students – with scale)
  • The design and structure of the initiative (curriculum redesign, delivery models, assessments, etc.)
  • Key stakeholders involved (faculty, academic leadership, technology partners, etc.)
  • The implementation approach
  • The role of digital technologies and/or AI in enabling transformation
  • How the initiative improves teaching practices, learning outcomes, or academic processes
  • Any innovative elements in design, delivery, or systems

Applicants must present measurable outcomes, supported by data, including:

  • % of programs redesigned or courses digitized/AI-enabled
  • % of courses using digital/AI-enabled delivery and assessments
  • % of faculty trained and applying these methods
  • Improvements in student learning outcomes
  • Adoption of personalized/adaptive learning mechanisms
  • Nature of transformation (process, academic, or outcome-level)
  • Scale and institutional coverage

Submissions should also highlight why the institution deserves recognition, focusing on:

  • Depth of AI and digital integration in teaching-learning systems
  • Measurable improvement in learning outcomes
  • Innovation in pedagogy, assessment, or academic design
  • Replicability and scalability
  • Long-term institutional value and sustainability

All claims must be supported with relevant documentation such as curriculum records, LMS/ERP reports, assessment data, and faculty training records

Illustrations

  • Institutional approach to digital and AI-enabled teaching transformation
  • Policies supporting curriculum redesign and digital pedagogy
  • Faculty capability-building and training systems
  • Integration of AI across teaching, assessment, and feedback
  • Use of data and analytics in academic decision-making
  • Any other

Initiative / Project / Service

  • Curriculum redesign incorporating digital/AI approaches
  • AI-enabled content creation and delivery models
  • Digital/AI-enabled assessments and grading systems
  • Personalized or adaptive learning systems
  • Faculty training and capability development programs
  • AI-enabled academic analytics and feedback systems
  • Any structured initiative improving teaching and learning

Process and Outcome Metrics

  • % of programs redesigned with digital/AI integration
  • % of courses delivered using digital/AI-enabled methods
  • % of courses using AI-enabled assessments
  • % of faculty trained and applying these methods
  • Improvement in student learning outcomes
  • % of courses using personalization/adaptive learning

Technology and Collaboration

Technology

  • LMS, ERP, or AI platforms used for teaching, assessment, and analytics
  • Systems enabling personalization, automation, or academic insights

Collaboration

  • Internal collaboration across faculty and departments
  • Partnerships with technology providers or academic platforms

Future Plans

  • Expansion of AI-enabled teaching and learning models
  • Strengthening faculty capabilities in digital pedagogy
  • Scaling personalization and data-driven academic systems