01469nas a2200229   4500000000100000000000100001008004100002260001200043653002800055653003200083653003600115653001700151653002200168100002800190700001800218245008100236856005800317300000900375490001300384520082800397022001401225       9998                            d  c02/202510aArtificial Intelligence10aNatural Language Processing10aSentiment Analysis in Education10aTransformers10aSystematic Review1 aAnabel Pilicita-Garrido1 aEnrique Barra00aSentiment Analysis With Transformers Applied to Education: Systematic Review  uhttps://www.ijimai.org/journal/bibcite/reference/3547  a1-120 vIn press3 aSentiment analysis, empowered by artificial intelligence, can play a critical role in assessing the impact of cultural factors on the advancement of Open Science and artificial intelligence. Additionally, it can offer valuable insights into the open data gathered within educational contexts. This article presents a systematic review of the use of Transformers models in sentiment analysis in education. A systematic review approach was used to analyze 41 articles from recognized digital databases. The results of the review provide a comprehensive understanding of previous research related to the use of Transformers models in education for the task of sentiment analysis, their benefits, challenges, as well as future areas of research that can lay the foundation for a more sustainable and effective education system.  a1989-1660