Computing Education Research

.- AI and Responsible Computing in Education .- 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. .- A Novel Fairness Accountability Integrity and Responsibility (FAIR) Model for Holistic Quality Education. .- AI Ethics Education in India: A Syllabus-Level Review of Computing Courses. .- Pedagogical Innovations and Interdisciplinary Approaches .- BOOP: Write Right Code. .- Teaching Algorithmic Thinking in a Liberal STEM Curriculum: An Experience Report. .- VedicViz: Towards Visualizing Vedic Principles in Mental Arithmetic. .- Accessibility, Inclusion, and Equity in CS Education .- CS Educator challenges and their solutions: A systematic mapping study. .- Accessibility Beyond Accommodations: A Systematic Redesign of Introduction to Computer Science for Students with Visual Impairments. .- Scaling Accessibility Education: Reflections from a Workshop Targeting CS Educators and Software Professionals. .- Tools and Interventions for Core Computing Concepts .- 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.