Diagnosing Mathematical Procedures in Number and Algebra Strand of 7th Students using the Machine Learning Platform for Khon Kaen University demonstration secondary school (Suksasart)

Diagnosing students' mathematical proficiency is a challenging task for teachers, as using technology such as machine learning together with mathematical procedures is an interesting approach to diagnose the mathematical proficiency of Grade 7 students. The objective of this research was to diagnose the levels of mathematical proficiency in the dimensions of mathematical procedures, number, and algebra strand for Grade 7 students, using a design research methodology. The findings indicate that most students, 79%, have a good foundation of knowledge, concepts, and basic skills, ready to learn supplementary smart lessons. However, they still have misconceptions and gaps in interpreting language and symbols, and lack understanding of fundamental math concepts, which makes it difficult for them to solve basic or multi-step word problems.