Achieving Equity for Latino Students
This book provides a critical discussion of the role that select K–12 educational policies have and continue to play in failing Latino students.
The Journal of Computing Sciences in Colleges / April 2020
This paper examines potential indicators of student risk for failure to complete a degree in data analytics. Records from 207 students from 2012 to 2019 were used in the study. Factors considered in the study include, ACT exam composite score, high school grade point average, transfer students, grade earned in a first mathematics course, grade earned in a first data analytics course, first generation students, and income level as classified by Pell Grant eligibility. Of these factors, only four factors were found to be significant, ACT composite score, grade earned in a first mathematics course, grade earned in a first data analytics course, and income level. Further, data indicate that performance in a first college mathematics course is the strongest indicator of a student’s likelihood to succeed in a data analytics degree. Students in this study earning a C or lower in a first course in mathematics had less than a 40% chance of completing a data analytics degree.