Exploring the Impact of Deep Tech Tools in Education: Teachers’ Perspectives

Abstract

This research paper examines the effect of deep tech tools on learning and teaching from the faculty members' point of view in Pune, India. The research investigates how technology affects the teaching methodology, student motivation, and institutional support mechanisms. A qualitative approach was used with a sample size of 30 faculty members from higher education institutions. Sentiment analysis was done using VADER, Rule-Based, and Random Forest algorithms to evaluate teacher responses. The study indicates a widespread positive attitude toward technology adoption with considerable advantages documented in teaching strategies, student interaction, and application of smart boards and AI-powered tools. However, difficulties involving poor infrastructure, technical problems, and lack of formal training still exist. Actionable suggestions for improving technology incorporation are made through the paper and include thorough training programs, technological infrastructure improvements, and improved institutional support.