Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
Project Overview
The document explores Sakshm AI, an innovative AI-assisted coding education platform designed to improve problem-solving skills in engineering students in India through a Socratic tutoring approach. Utilizing Large Language Models (LLMs), Sakshm AI provides personalized feedback, context-aware hints, and adaptive guidance, effectively overcoming limitations of traditional educational tools. The study evaluates the platform's impact on learning outcomes by conducting both quantitative and qualitative analyses of user engagement. Findings indicate that Sakshm AI significantly enhances critical thinking and promotes independent learning among students, demonstrating the potential of generative AI in educational contexts. Overall, the platform exemplifies how AI can transform learning experiences by tailoring educational support to individual needs and fostering deeper cognitive skills.
Key Applications
Sakshm AI
Context: Coding education for engineering students in India
Implementation: The platform employs a Socratic tutoring approach via an AI chatbot named Disha, guiding students through problem-solving without providing direct answers.
Outcomes: Improved problem-solving skills, enhanced engagement, and greater critical thinking among students.
Challenges: Limited support for advanced topics, dependency on the AI for hints rather than direct answers, and some technical issues.
Implementation Barriers
Technical barriers
Users reported issues with platform performance, such as slow response times and occasional bugs.
Proposed Solutions: Implementing autosave features and improving the overall stability of the platform.
Content barriers
A need for a wider variety of exercises and more complex, real-world problems was noted.
Proposed Solutions: Expanding the question bank to include advanced topics and real-world scenarios.
User experience barriers
Users expressed a desire for improved user interface features and navigation.
Proposed Solutions: Enhancing the user interface, including better dark mode functionality and customization options.
Project Team
Raj Gupta
Researcher
Harshita Goyal
Researcher
Dhruv Kumar
Researcher
Apurv Mehra
Researcher
Sanchit Sharma
Researcher
Kashish Mittal
Researcher
Jagat Sesh Challa
Researcher
Contact Information
For more information about this project or to discuss potential collaboration opportunities, please contact:
Raj Gupta
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