2024 - Sustainable Industrial Processing Summit
SIPS 2024 Volume 11. Rowlands Intl. Symp / Mathematics
| Editors: | F. Kongoli, A. Bountis, M. Johnson, S. Karam, L. Kauffman, P. Mandell, M. Mikalajunas, W. Miller, G. Ord, R.M. Santilli, E. Suhir, E. Trell, T. Vougiouklis |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2024 |
| Pages: | 372 pages |
| ISBN: | 978-1-998384-24-2 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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ARTIFICIAL INTELLIGENCE PROGRAM IMPLEMENTATION IN STEM EDUCATION:-CASES OF ETHIOPIA STEM CENTER
Yohannes Degefu1;1ETHIOPIAN ARTIFICIAL INTELLIGENCE INSTITUTE, Addis Ababa, Ethiopia;
Type of Paper: Regular
Id Paper: 316
Topic: 38
Abstract:
This review paper examines the status of artificial intelligence (AI) technology in Ethiopian STEM (Science, Technology, Engineering and Mathematics) schools and the possibility of implementing AI programs in the future. Many developed and developing countries are using AI to help grow and improve their economies and to leverage their technology and services. The primary use of AI technology in schools is generally to make more creative the teenagers learning in mathematics and science. This article aims to provide alternative directions on implementing artificial intelligence programs in Ethiopian STEM schools, with an emphasis on learning from developed countries and sharing best practices. Primary and secondary data are used: Secondary data are analyzed on theory-based evidence while primary data are analyzed based on structured questionnaires. In order to achieve the goal, select journals, research and other related websites are reviewed. The findings of this review indicate that in STEM schools, there are many teenagers with specific interests and abilities in mathematics and coding. This knowledge is needed for artificial intelligence. The encouragement and reflection on the advantages of basic AI concepts for youths is necessary as it can help to engage talented students in learning. This paper thoroughly analyzes relevant research and interview data to highlight key insights, status, challenges, and future directions for AI implementation in Ethiopian STEM schools.