Application of Artificial Intelligence Photomath in Learning Mathematics

Elah Nurlaelah, Eyus Sudihartinih, Deandri Nuryanti Putri

Abstract


This article aims to summarize the research literature related to the development of research on the implications of Artificial Intelligence (Artificial Intelligence/AI) in mathematics learning. Most of the Empirical research shows that the use of AI has positive effects and helps spread mathematics learning, especially in the Photomath application. This research method uses a systematic literature review approach and reveals findings based on an empirical review of 45 articles from the Google Scholar database. The findings highlight that easy access to Photomath can improve mathematics learning outcomes. In addition, students can improve their mathematics achievement through interactive learning from this application. Although the majority of findings highlight the positive impact of using Photomath, however teachers and other educational personnel must undergo training so that the use of Photomath applications can be used for optimal teaching. The negative impact that is detrimental to students is the potential for academic cheating and decreased interest in studying mathematics due to dependence on using Photomath. Overall, it is hoped that this research can fill the gap in knowledge and unlock research potential in the field of Photomath mathematics learning.

Keywords


Artificial Intelligence, Mathematics Education, Photomath, Mathematics Application

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References


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