AI & ICT Tools and Techniques for Quality Education and Research
Course Description
This course on AI & ICT Tools for Quality Education and Research provides a comprehensive understanding of modern digital teaching and research practices through structured modules and practical video sessions.
Module 1: ICT & AI-Powered Teaching Tools – Introduction to AI-based learning platforms and smart teaching methods.
Module 2: Prompt Engineering – Techniques to design effective prompts for AI tools to improve learning and productivity.
Module 3: AI-Enabled OBE (Outcome-Based Education) – Using AI to align teaching with measurable learning outcomes.
Module 4: Canvas LMS – Managing courses, assignments, and student progress using Canvas Learning Management System.
Module 5: Google Classroom – Enhancing student engagement, collaboration, and online classroom management.
Module 6: AI-Assisted Research Writing Tools – Tools for academic writing, plagiarism checking, and content optimization.
Module 7: Canva for Educators – Creating visually engaging educational content and presentations.
Module 8: Data-Driven Quality Assurance – Using analytics and data to improve teaching effectiveness and outcomes.
Module 9: Integrated Practice of AI & ICT Tools – Combining multiple tools for a seamless teaching and research workflow.
Overall, the course equips learners and faculty members with practical skills to enhance teaching quality, improve research efficiency, and adopt innovative digital education practices.