International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 05 | May 2024
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
Impact of artificial intelligence (AI) in education. Suyog Sunil Shinde1, Dr Amit Medhekar2 1Neville Wadia Institute of Management Studies & Research, NESS
WADIA COLLEGE OF COMMERCE, NOWROSJEE WADIA COLLEGE, Sangamvadi, Pune, 411001, Maharashtra, India. 2Professor,Neville Wadia Institute of Management Studies & Research, NESS WADIA COLLEGE OF COMMERCE, NOWROSJEE WADIA COLLEGE, Sangamvadi, Pune, 411001, Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Artificial intelligence (AI) refers to computer
AI is applied in diverse ways in education – from automating administrative processes to providing adaptive, personalized learning platforms, virtual tutors, and predictive analytics. The COVID-19 pandemic forced schools to shift online and has also catalyzed rising investments in education technology and AI, emphasizing their increasing relevance.
systems and machines that can perform tasks that typically require human intelligence. AI is rapidly transforming many industries, including education. This report comprehensively reviews AI's current state and impact in education. A mixed methods research design was adopted, combining qualitative and quantitative data from surveys, interviews, and literature analysis. The key findings indicate that AI has brought several benefits to education, such as personalized and adaptive learning, automated grading and feedback, and enhanced student recruitment and retention. However, there are also notable limitations and challenges, such as high development costs, lack of transparency, potential bias in algorithms, and privacy concerns over data collection. Most research suggests AI can have an overwhelmingly positive impact on education by automating administrative tasks, providing customized support, and improving student outcomes. More human-centered AI is needed to build trust and understanding between humans and machines in education. The implications call for increased policy direction, frameworks, and collaboration between educators and technologists to harness the power of AI for sustainable education ethically.
This paper examines the impact of AI on education, focusing specifically on online education and marketing management. The following section presents a literature review and an overview of the research methodology. The key results and discussion analyze AI's significant advantages and educational limitations, evidenced by current research. Finally, the conclusion summarizes the implications for theory and practice, highlighting priorities and recommendations to guide the future progress of AI in education.
2 Literature Review 2.1 Definition and Conceptual Framework of AI in Education Artificial intelligence broadly refers to any computer system that engages in tasks that have historically required human cognition and judgment (Shen et al., 2021). Kaplan and Haenlein (2019, p.15) define AI as "a system's ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation." The system's ability for rationality, creativity, generalization, and continuous improvement differentiates AI technologies from traditional rule-based software.
Key Words: Artificial intelligence in education, personalized learning, learning analytics, ethics of AI in education, online education, educational technology, challenges of AI in education, impact of AI on education.
1. INTRODUCTION Artificial intelligence (AI) is a concept that refers to the ability of machines and computer systems to perform complex cognitive tasks such as understanding, sensing, learning, and acting, capabilities that are possible only by humans with the help of cognitive processing (Chen et al., 2020). AI is a technology that has taken a front seat in how we go about our daily lives without realizing it, from virtual assistants like Siri to the recommendation systems on Netflix and Spotify. AI's market size, which has grown expoexponentiallyrom merely bia g $93.5 billion in 2021, would surpass $1.4 trillion by 2028 (Emergen Research, 2022).
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When applied in the context of teaching and learning, AI in education refers to the design, development, and application by computer systems "that are adaptive, can enhance human intelligence, demonstrate cognition and behave rationally engaging with teachers and learners in meaningful learning experiences" (Zawacki-Richter et al., 2019, p.183). The multidisciplinary intersection between AI, psychology, linguistics, and education has created the emerging field of artificial intelligence in education (AIED) (Chen et al., 2020; Roll & Wylie, 2016). AIED focuses on understanding how AI techniques can promote personalized and lifelong learning,
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