BioGecko Vol 12 Issue 01 2023 ISSN NO: 2230-5807 1045 A Journal for New Zealand Herpetology A Comparative Study of Automation, Machine Learning and Artificial Intelligence in the Field of Education 1 Swati Sucharita Barik, 2 Dr. Alok Dubey, 3 Dr. Sheetal Mujoo, 4 C. M. Naveen Kumar, 5 Mr. Parashuram Shankar Vadar, 6 Dr. M. Ravichand 1 Assistant Professor, JSPM'S Bhivarabai Sawant Institute of Technology and Research, Pune, Maharashtra swatisucharitabarik@gmail.com 2 Associate professor, Department of Preventive Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia adubey@jazanu.edu.sa https://orcid.org/0000-0002-0161-7788 3 Assistant professor, Department of Maxillofacial Surgery and Diagnostic Sciences College of Dentistry, Jazan University, Jazan, Saudi Arabia smujoo@jazanu.edu.sa https://orcid.org/0000-0001-7272-4671 4 Sr. Assistant Professor, Department of Electronics & Instrumentation Engineering, Malnad College of Engineering, Hassan, Karnataka cmn@mcehassan.ac.in 5 Assistant Professor, Yashwantrao Chavan School of Rural Development, Shivaji University, Kolhapur, Maharashtra, India 6 Professor of English, Mohan Babu University, Erstwhile Sree Vidyanikethan Engineering College ravichandenglish@gmail.com http://orchid.org/0000-0002-9003-5359 Abstract This review paper explores the role of technology in education, with a focus on automation, machine learning, and artificial intelligence. The paper provides an overview of the advantages and disadvantages of automation in education, including its ability to reduce workload for educators and ensure consistency in grading, as well as its potential to limit personalization and human interaction in education.The paper also examines the use of artificial intelligence in education, including its ability to provide personalized learning experiences and automate routine tasks. However, the paper highlights the ethical considerations associated with using AI in education, including concerns around data privacy, transparency, and the potential for AI to perpetuate existing social and economic inequalities.The paper concludes with a comparative analysis of automation, machine learning, and artificial intelligence in education, highlighting the unique benefits and challenges of each approach. The paper also discusses the challenges and ethical considerations associated with implementing these technologies in education, including concerns around bias, data privacy, and equity. A comprehensive overview of the use of technology in education and highlights the need for thoughtful consideration of the potential advantages and disadvantages of each approach, as well as the ethical implications of using these technologies in education. Keywords: technology, education, automation, machine learning, artificial intelligence, personalization, transparency, ethical considerations