Measure Awareness
Identify how familiar participants are with AI in educational settings.
Published Research Presentation
Blending new technology with equal opportunities and responsible use.
Ananya HG, Harsha K, Ananya Dalania, Akshay Kumar
Problem Statement
AI tools can personalize learning, automate assessment, and support teachers, but unequal access, weak digital literacy, algorithmic bias, and privacy risks can widen existing gaps.
The central problem is not only how to use AI in education, but how to use it without losing fairness, transparency, and the human role of teaching.
Study Objectives
Identify how familiar participants are with AI in educational settings.
Understand how often AI-based tools are used for learning or teaching.
Connect benefits such as personalization with concerns around equity and responsible use.
The paper positions AI as a bridge to opportunity only when access, ethics, and human oversight are planned together.
Literature Review
Methodology
Participants responded online about awareness, usage, benefits, and challenges.
Questions used structured options, including multi-select challenge items.
Responses were counted and converted into percentages to reveal common patterns.
Research Design
The survey grouped questions around familiarity, use, perceived benefits, performance impact, and AI's ability to support equal learning opportunities.
This makes the study practical: it links technology adoption to daily classroom experience, readiness, and barriers that affect inclusive implementation.
Key Findings: Awareness and Use
The findings show that AI is not a distant future trend for education; it is already part of everyday learning behavior.
Key Findings: Benefits and Equity
Challenges and Responsible Use
Reliable internet, affordable tools, accessible design, and inclusive infrastructure are required.
Policies should address privacy, bias, misinformation, plagiarism, and transparent decision-making.
Educators need AI literacy, training, and institutional support to guide responsible classroom use.
Conclusion and Publication
The study concludes that AI can improve personalized learning, feedback, accessibility, and teaching efficiency. Its success depends on responsible deployment, teacher training, digital literacy, and equitable access.
The final message is balanced: AI should enhance education while preserving human values, critical thinking, creativity, and ethical judgement.