Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…

Background: Investigating factors contributing to chemistry achievement is important since it enables us to make more concrete instructional decisions related to improving students' chemistry achievement. Purpose: This study aimed to investigate how students' perceptions of learning environment, self-efficacy and gender are related to chemistry…