Artificial Intelligence is the science of learning and teaching with significant systems that enable the learners to have the best knowledge according to the learning needs and perspective of learning styles. From the past years Artificial Intelligence has been rapidly advanced in the technology and as well as in knowledge technology where these Artificial Intelligence applications have unconventional ways advanced the learning strategies. These AI applications have also contributed to the education sector where these applications have led to the essential role in learning in the higher educational systems. This study analyzed the motivation and effectiveness of learners towards the artificial intelligence learning approach about the learning applications. About one hundred twenty-one respondents were touched from five higher education institutions and data is collected from higher educational institutions. This study found that most of the learners were satisfied with AI applications towards the factors that are artificial intelligence applications increase your learning capabilities, AI learning applications increase productivity in learning, what do you think AI applications are useful in enhancing the knowledge, what do you think AI applications have potency towards the easy and clear content learning process. Most of learners responded in positive motivation about the above questions and countered about optimistic effectiveness towards the applications of artificial intelligence. Finally, this concludes that more interaction of learners with AI learning application will provide good results in learning the content of concerned subject. This study suggests that there will be training for learners regarding AI learning applications.
Abbasi, S., & Kazi, H. U. (2014). Measuring Effectiveness of Learning Chatbot Systems on Student’s Learning Outcome and Memory Retention. Asian Journal of Applied Science and Engineering, 3, 57-66. https://doi.org/10.15590/ajase/2014/v3i7/53576
AL Mohammadi, K., Harga’s, H., Daniyal Alghazzaw, & Aldeburgh, G. (2017). A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms. Journal of Artificial Intelligence and Soft Computing Research, 7, 47-64. https://doi.org/10.1515/jaiscr-2017-0004
Blackstone, A. (2018). Principles of sociological inquiry: Qualitative and quantitative methods. Retrieved from https://openlibraryrepo.ecampusontario.ca/jspui/handle/123456789/29
Chatterjee, R. (2020). Fundamental concepts of artificial intelligence and its applications. Journal of Mathematics, Problems, Equations, and Statistics ESSN, 2709-9407, 13.
Faizan, M., Zuhairi, M. F., Ismail, S., & Sultan, S. (2020). Applications of Clustering Techniques in Data Mining: A Comparative Study. International Journal of Advanced Computer Science and Applications, 11(12), 146-158.
Grosz, B. J., & Stone, P. (2018). A century-long commitment to assessing artificial intelligence and its impact on society. Communications of the ACM, 61(12), 68–73.
Keleş, P., & Aydın, S. (2021). University Students’ Perceptions About Artificial Intelligence. Shan Lax International Journal of Education, 9, 212-220. https://doi.org/10.34293/education.v9iS1-May.4014
Kong, F. (2020). Application of Artificial Intelligence in Modern Art Teaching. International Journal of Emerging Technologies in Learning (iJET), 15(13), 238-251.
Mahendra, T. (2023). How is AI Being Used in Education. Retrieved from https://www.aiplusinfo.com/blog/how-is-ai-being-used-in-education/
Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: Automation, employment, and productivity. Chicago: McKinsey Global Institute.
Mathew, Lynch. (2019). Ways that artificial intelligence (AI) is transforming education for the better.
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches: Pearson New International Edition. Pearson Education Limited.
Ng, A. (2017, January 25). Artificial intelligence is the new electricity [Speech]. Stanford MS Future Forum, California, Stanford. Retrieved from https://www.youtube.com/watch?v=21EiKfQYZXc
Nilsson, N. J. (2009). The Quest for Artificial Intelligence: A History of Ideas and Achievement. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511819346
Pedro, F., Sibasa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Paris: UNESCO.
Pujari, V., Sharma, Y., Burate, M., Jagdishprasad, S., & Tibrewala, J. (2021). Application in Artificial Intelligence.
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A modern approach (4th ed.). Prentice Hall, Hoboken.
Sayer, A. (1992). Method in Social Science: A Realist Approach (2nd Ed.). London: Routledge.
Sek Eroglu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: Application in student performance evaluation. Dilemmas Contemporaneous: Education, Política y Valore’s, 7(1), 1–21.
Williams, R., Park, H. W., Oh, L., & Breazeal, C. (2019). Robots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. Retrieved from http://robotic.media.mit.edu/wp-content/uploads/sites/7/2019/02/EAAI-WilliamsR.25.pdf
Wu, Y., Bowen, L., & Xiaoling, M. (2017). To construct the ecosystem of “artificial intelligence and education”. Journal of Distance Education, 35(5), 27-39.
Xin-Hua Zhu. (2005). Designing an open component for the Web-based learning content model. Journal of Educational Technology & Society, 8(2), 1436-4522.
Xu, S., Wang, T., Da, J., & Wu, D. (2022). Design and Implementation of Intelligent Teaching System Based on Artificial Intelligence and Computer Security, Privacy and Trust Management in Future Smart Cities, Technology, 6300299.
Haut du formulaire
2 January 2024