K-12 MODERN SCHOOLS IN SERBIA: EXPLORATORY RESEARCH REGARDING TEACHERS GENUINE KNOWLEDGE AND PERCEPTION OF AI-BASED OPPORTUNITIES AND CHALLENGES IN EDUCATION
DOI:
https://doi.org/10.26458/jedep.v11i2.762Keywords:
Artificial Intelligence, K-12, Republic of Serbia, knowledge about AI, teachers, work composition, formal educationAbstract
LINK Educational Alliance (LEA is an educational group based in the Republic of Serbia which involves privately owned providers of formal and informal education, the format for the development of Educational Technologies services and Business support for their business. The exploratory research was conducted among K-12 teachers among a total population of 152 and a sample of 77 respondents (50.66%) to provide information about the perception of the teachers towards implementation of the Artificial intelligence-based solutions and the opportunities and challenges that artificial intelligence (AI) will bring into their daily activities, as well as their genuine knowledge about AI. For data analysis, we used SmartPLs Software version 3.0, making inferential and variable association analyses. The teaching process, based on the opinion of K-12 teachers regarding activities that might be automatised through AI implementation in the educational process, supported by their level of awareness and knowledge about AI. For example, AI offers opportunities to automate specific strategies and activities, which would achieve better organisation of teachers' working time and productivity and increase the share of time that teachers spend "directly interacting with students" is the central hypothesis whose validity is tested. The aim of this study is to provide adequate model for testing AI attitudes in K-12 level of education in Republic of Serbia, among teachers in elementary and secondary schools.References
OECD (2021). Building the future of education. Available at: https://www.oecd.org/education/future-of-education-brochure.pdf (accessed 15.04.2022.)
National Academies of Sciences, Engineering, and Medicine 2020. Changing
Expectations for the K-12 Teacher Workforce: Policies, Preservice Education,
Professional Development and the Workplace. Washington, DC: The National
Academies Press. https://doi.org/10.17226/25603.
McKinsey Global Teacher and Student Survey (2017). Average of Canada, Singapore, United Kingdom, and United States in 2017.
Kuleto, V.; Ilić, M.; Dumangiu, M.; Ranković, M.; Martins, O.M.D.; Păun, D.; Mihoreanu, L. Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions. Sustainability 2021, 13, 10424. https://doi.org/10.3390/su131810424
Uzair, M., Chen, J. (2021). An Overview Study of Importance of Artificial Intelligence in the Improvement of Online Education. In: Wang, W., Wang, G., Ding, X., Zhang, B. (eds) Artificial Intelligence in Education and Teaching Assessment. Springer, Singapore. https://doi.org/10.1007/978-981-16-6502-8_9
Fan Ouyang, Pengcheng Jiao, Artificial intelligence in education: The three paradigms, Computers and Education: Artificial Intelligence, Volume 2, 2021, 100020, ISSN 2666-920X,
https://doi.org/10.1016/j.caeai.2021.100020.
Downloads
Published
How to Cite
Issue
Section
License
Journal of Economic Development, Environment and People by Authors is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at http://ojs.spiruharet.ro/index.php/jedep/issue/archive.