The Effectiveness of Implementation of AI Based STEM and Potential for Future Science Learning: Literature Review
- DOI
- 10.2991/978-94-6463-589-8_35How to use a DOI?
- Keywords
- AI; STEM; AI based STEM; Science Learning
- Abstract
The industrial revolution 4.0 brings the era of society 5.0 which has an impact on various aspects of life, one of which is the field of education by starting to apply the use of AI in learning. AI is very relevant to be applied to STEM-based science learning. The purpose of this study is to analyze the effectiveness of AI-based STEM implementation in science learning, analyze learning media that use AI based STEM, and analyze the ethics and potential use of AI in future science learning. The research method used is a literature study on international journal databases on ERIC, Scopus, and Springer. Based on the literature review, it was found that the implementation of AI based STEM is effective in science learning. AI can increase creativity, activeness, train technological literacy skills, train problem solving and support to generate creative ideas. There are also AI learning media that can be applied to STEM learning. In addition, the implementation of AI use in education also pays attention to the code of ethics so that the use of AI can be useful. In conclusion, AI based STEM is effective, there are AI based STEM media that have been used in science learning, and there is potential for the use of AI in science learning in the future.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Arif Widiyatmoko AU - Tiara Dwi Wulandari AU - Alfiana Nur Rosita Mayanti AU - Melissa Salma Darmawan PY - 2024 DA - 2024/12/01 TI - The Effectiveness of Implementation of AI Based STEM and Potential for Future Science Learning: Literature Review BT - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024) PB - Atlantis Press SP - 381 EP - 387 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-589-8_35 DO - 10.2991/978-94-6463-589-8_35 ID - Widiyatmoko2024 ER -