Implications of Artificial Intelligence on Education
Author – P V BANSOD
Literature Review
1. Tutoring
It is reported that use of AI-generated data through learning analytics and intelligent tutoring systems improve student performance. Due to significant progress in theory and practice derived from the application of AI and the potentials in educational data mining, learning analytics, it is further argued that AI is a future component of educational processes.( Bozkurt Et al,2021)
2. STEM
With the innovative increase in computing power, large-scale parallel processing can be efficiently processed; therefore, artificial intelligence technologies, such as classification, regression, and natural language recognition, are being developed explosively. In the future, AI computational ability will be used more actively in various fields of human society, and creative problem-solving ability using AI is an essential competency for students who will live in future society. (Jang Et al, 2022)
3. Trustworthy AI
AI holds a promise to improve educational processes and outcomes in the classroom and at the system level and help achieve SDG 4. Currently, the deployment of AI in education remains limited at the system level. It is still mainly embodied in applications and solutions for individuals rather than for schools or governments. However, the Ed-Tech industry keeps growing, and massive investments are being made in G20 countries. There is no doubt that AI will become pervasive in education and that education policy makers and governments will face the challenges of operationalising the G20 AI Principles in the education sector (Vincent-Lancrin & van der Vlies, 2020)
4. Leadership
AI using big data, claiming jobs, and ushering in the era of loss of human supremacy and, on the other, by the optimism surrounding AI which seems to be a tool permanently controlled by human intelligence. We tried to briefly look at the way in which the leadership of higher education chooses to handle today’s challenges internationally and in Romanian universities. The discussion was based on the authors’ own experience in the higher education system as well as on an analysis of various discourses and narratives documented in research.( Mariana & Elena E. 2018)
5. Covid-19
They observed that the use of AI driven platforms increased from 2019 to 2020, independent of both geographical and Sustainability 2021, 13, 13501 9 of 10 demographical data. They saw the increase for both teachers and students, which demonstrates a common effort made by both parties towards the evolution of traditional educational systems.( Pantelimon Et Al,2021)
6. Higher Education
In education, AI remains a sleeping giant. ‘Breakthrough’ AI applications for teaching and learning are unlikely to emerge from within mainstream higher education. A look at the AI model above highlights the key question whether technology should aim to replace teachers and instructors through automation or whether technology should be used to empower not only teachers but also learners. ( Akinwalere & Ivanov 2022)
7. Education
AI implementation and adoption is unavoidable in the education sector. AI technologies are not limited to smart learning, tutoring systems, and social robots; there are many other intelligent technologies, such as virtual facilitator, online learning environments, learning management systems, and learning analytics, which also contribute significantly to the sector .( Ahmad Et Al, 2021)
8. Experiential
This research confirmed the AI-STEAM course using experiential learning would not have barriers for the young students to make progress from learning although they have not learned complicated and advanced mathematics or algorithms such as the content in the universities.( Hsu Et Al, 2021)
9. Learning
If we think how AI can most effectively be used in the current educational context, we easily automate things that used to be important in the past. It is therefore important to understand the impact of AI in the context of future learning and education, instead of in current systems of education and forms of learning. The analysis of the impact of AI on teaching will, therefore, be inherently linked to foresight-oriented work on the future of learning.( Tuomi ,2018)
10. Accounting
Digitalization and the development of information technologies represent a great opportunity for companies. Furthermore, digitalization brings a lot of changes for accounting profession. It will change the way accountants work and think. Despite many of accountants think that digitalization will take their jobs, and that robots will replace humans, results show that accountants will use digital solutions and automation for routine tasks rather than replace accountants.( Danimir Et al , 2019)
11. Conclusion –
AI is expected to play a major role in the future of educational processes. It can be used to supplement traditional learning methods, provide personalized instruction, and create more efficient and effective learning experiences. AI-based systems can be used to assess student performance, provide feedback, and develop adaptive learning systems. AI will also be used to improve the accuracy of assessments and to support data-driven decision making in education. Finally, AI can be used to automate administrative processes and enable students to focus on learning.
References
Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. “Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century,” Sustainability, MDPI, vol. 13(2), pages 1-16, January.
Florin-Valeriu Pantelimon & Razvan Bologa & Andrei Toma & Bogdan-Stefan Posedaru, 2021. “The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic,” Sustainability, MDPI, vol. 13(23), pages 1-10, December.
Gulin, Danimir & Hladika, Mirjana & Valenta, Ivana, 2019. “Digitalization and the Challenges for the Accounting Profession,” Proceedings of the ENTRENOVA – ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA – ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 502-511, IRENET – Society for Advancing Innovation and Research in Economy, Zagreb.
Ilkka Tuomi, 2018. “The Impact of Artificial Intelligence on Learning, Teaching, and Education,” JRC Research Reports JRC113226, Joint Research Centre (Seville site).
Junhyeok Jang & Jaecheon Jeon & Soon Ki Jung, 2022. “Development of STEM-Based AI Education Program for Sustainable Improvement of Elementary Learners,” Sustainability, MDPI, vol. 14(22), pages 1-16, November.
Nicolae Mariana & Nicolae Elena E., 2018. “Leadership in Higher Education – coping with AI and the turbulence of our times,” Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 683-694, May.
Sayed Fayaz Ahmad & Mohd. Khairil Rahmat & Muhammad Shujaat Mubarik & Muhammad Mansoor Alam & Syed Irfan Hyder, 2021. “Artificial Intelligence and Its Role in Education,” Sustainability, MDPI, vol. 13(22), pages 1-11, November.
Stéphan Vincent-Lancrin & Reyer van der Vlies, 2020. “Trustworthy artificial intelligence (AI) in education: Promises and challenges,” OECD Education Working Papers 218, OECD Publishing.
Susan Nwadinachi Akinwalere & Ventsislav Ivanov, 2022. “Artificial Intelligence in Higher Education: Challenges and Opportunities,” Border Crossing, Transnational Press London, UK, vol. 12(1), pages 1-15, January
Ting-Chia Hsu & Hal Abelson & Natalie Lao & Shih-Chu Chen, 2021. “Is It Possible for Young Students to Learn the AI-STEAM Application with Experiential Learning?,” Sustainability, MDPI, vol. 13(19), pages 1-15, October.