A Comprehensive Survey of Smart Classroom Technologies: Objectives, Methodologies, Datasets, and Challenges

Author(s)	Mr. Aditya Prakash, Ms. Niti Patel, Mr. Karan Vaghela, Mr. Sahil Kher, Prof. Pankaj Agrawal
Country	India
Abstract	Recent advancements in Artificial Intelligence (AI), Internet of Things (IoT), and machine learning are transforming traditional classrooms into intelligent and data-driven environments. This paper presents a survey of over sixty studies (2010–2025) focusing on automated attendance, student engagement analysis, and IoT-based classroom systems. The review highlights the transition from traditional methods to deep learning-based approaches, along with key challenges such as privacy, bias, and scalability. It also outlines future directions, including privacy-aware models and edge-based solutions for efficient smart classroom deployment.
Keywords	Smart Classroom, Face Recognition, Student Engagement, Internet of Things, Deep Learning
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-22

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology