ATI Pulse™
Historically, indications of eventual NCLEX success or failure have been restricted to end of program assessments like our own ATI Comprehensive Predictor. Although a highly predictive instrument that provides individualized recommendations for student remediation, the Comprehensive Predictor is not designed to dynamically follow a student through his or her academic career and inform of potential NCLEX remediation needs. To address this gap and provide earlier indications of remediation needs, ATI conducted a nationwide study using data science techniques and machine learning on hundreds of thousands of student assessment results and measures of learning activity performance across four years of data to predict success on each Content Mastery SeriesTM exam, providing an earlier warning of students at risk.
Predict NCLEX Success Early
ATI Pulse categorizes students into risk categories: On Track, Needs Improvement, and At Risk of Passing NCLEX. It also allows for comparison across cohorts, provides a view of cohort and student level prediction as well as current and historical Content Mastery Series assessment performance.
Find at Risk Students
ATI Pulse provides predictions of success, identifies at risk students even before they attempt their first proctored Content Mastery Series assessment and continues refining their predicted probability of passing NCLEX throughout their academic program. This provides students and programs with the time they need to improve scores and ultimately increase NCLEX pass rates.
Drive ATI Product Usage
ATI Pulse provides recommendations of specific learning activities and modules that best prepare students to succeed on their Content Mastery Series assessments. Additionally, educators can explore comprehensive and detailed views of student and cohort product usage as compared to data-driven ATI recommendations. This can help guide remediation, product policy creation and policy enforcement.
Students Analyzed
BSN Students Analyzed
ADN Students Analyzed
PN Students Analyzed