As the need for diversity in engineering increases, research shows that incorporating a sense of belonging, positive psychology, and mentorship into STEM programs has the power to increase retention and value for undergraduate students. Studies would further suggest that while recruitment efforts are being made geared towards undergraduate students, more practices of retention need to be implemented to ensure students have the environments they need to continue pursuing their STEM degrees. Students who are calculus ready when entering college have been shown to be more likely to remain and graduate from with their engineering degree than those who do not [1]. Many students have math deficiencies even prior to entering their sophomore engineering courses, which negatively impact student retention [2]. One way an engineering program at a southwestern university is working to better prepare their students in their classes is by implementing a competency-based math assessment in one of their critical sophomore engineering courses. The exam was created through Pearson's MyMathTest which uses Artificial Intelligence (AI) to adapt a study plan based on the student's correct and incorrect answers. The administrators customized the exam to test students on math topics that were considered important in order to successfully pass the engineering course. The assessment was given to students on their first week of school and was available for 4 weeks in order to give students adequate time to take the exam, review their material, and remediate any math knowledge that the students would need to know for the course. Competency-based assessments give students equal opportunities to be successful in their classes as many students have different backgrounds of learning. Flagging "at-risk" students and giving them the tools they need to learn the course prerequisite material can help build their sense of belonging and positive attitude in the classroom. Similar competency and remedial assessments from other departments and universities have proved to be helpful to their students by lowering the D/F/Q rates, creating shifts in letter grades, and increasing the rate of students passing courses when compared to the years where AI assessments were not used. As this is an ongoing project, results for how the assessment has affected the students is still pending. One way an engineering program at a southwestern university is working to better prepare their students in their classes is by implementing a competency-based math assessment in one of their critical sophomore engineering course. The exam was created through Pearson's MyMathTest which uses Artificial Intelligence (AI) to adapt a study plan based on their correct and incorrect answers. The administrators customized the exam to test students on math topics that were considered important in order to successfully pass the engineering course. The assessment was given to students on their first week of school and was available for 3 weeks to give students adequate time to take the exam, review their material, and remediate any math knowledge that the students would need to know for the course. Competency-based assessments gives students equal opportunities to be successful in their classes as many students have different backgrounds of learning. Flagging "at-risk" students and giving them the tools they need to learn the course pre-requisite material can help build their sense of belonging and positive attitude in the classroom. Similar competency and remedial assessments from other departments and universities have proved helpful to their students by lowering the D/F/Q rates, shifts in letter grades, and an increase of students passing courses compared to the years where AI assessments were not used. As this is an ongoing project, results for how the assessment has affected the students is still pending.
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Ortega-Darwin et al. (2024) studied this question.
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