An Analytic Model to Assist Academic Advisors
Keyword(s):
We detail how academic advisors at two land grand universities benefit from the identification of factors related to poor academic performance of first-year students. We used a multivariate statistical model and data from one institution to identify characteristics of students at-risk of earning low grade point averages. We showed through a second application of the statistical model that first-year dropout was directly related to grade point average.
2019 ◽
2019 ◽
Keyword(s):
2016 ◽
Keyword(s):
2020 ◽
pp. 194855062095923
2011 ◽
Vol 184
(9)
◽
pp. 5679-5688
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2019 ◽
Vol 134
(1)
◽
pp. 273-282
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Keyword(s):