Student success in intelligent tutoring systems: An assessment of key factors

Artificial Intelligence-based Intelligent Tutoring Systems (ITS) have been used to help high school students better prepare for college-level mathematics.The purpose of this study is to determine which factors positively influence student outcomes on the college mathematics placement exam for students assigned to work on the Assessment and Learning in Knowledge Spaces (ALEKS) ITS modules.Seventythree students from three U.S. high schools participated in the study.Variables including students' exam scores, time spent logged into ALEKS modules, time spent completing the placement exam, teacher assigned, and module mastery scores (both pre-and post-module completion) were analyzed to test for significant differences.A multiple linear regression was used to determine which factors influenced growth on the ALEKS Mathematics Placement Exam.The results indicated that the amount of time students spent taking the placement exam and the number of modules mastered were significant predictors of exam performance.These findings suggest that schools emphasizing these factors could use AI/ITS in current courses to help students bypass developmental mathematics and directly enroll in college-level math upon entering college.