Day 1
Track 1
- Teaching Explainable Machine Learning to Interdisciplinary Learners: A Pedagogical Model for Responsible AI Education
- Kaushalya AI: Understanding Computational Skills Progression and Overlap with other Foundational Skills in Schooling
- PustakAI: Curriculum-Aligned and Interactive Textbooks Using Large Language Models
- Educators as Creators: Enabling CS Faculty to Build Educational Interventions with Sustainable AI Models
Track 2
- Accessibility Beyond Accommodations: A Systematic Redesign of Introduction to Computer Science for Students with Visual Impairments
- A Novel Fairness Accountability Integrity and Responsibility (FAIR) Model for Holistic Quality Education
- Scaling Accessibility Education: Reflections from a Workshop Targeting CS Educators and Software Professionals
- AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
Day 2
Track 1
- RA-Viz: An Interactive Relational Algebra Interpreter and Visualization Tool
- A Study of Teaching Tools for Parsing
- SLIM: A Simplified LLVM IR Abstraction for Compiler Design Courses
- CyberNiriksha: Bridging Root Cause Analysis Gaps in Indian Cybersecurity Education through a Progressive Log-Based Learning Environment
- Early Results from Teaching Modelling for Software Comprehension in New-Hire Onboarding
Track 2
- BOOP: Write Right Code
- Teaching Algorithmic Thinking in a Liberal STEM Curriculum: An Experience Report
- VedicViz: Towards Visualizing Vedic Principles in Mental Arithmetic
- CS Educator challenges and their solutions: A systematic mapping study