PREDICTING STUDENT SUCCESS IN PUBLIC ECONOMICS
Öz
Student performance in public economics and consequently microeconomics as
pre-requisite can improve with the correct pedagogic intervention. This paper
proposes an empirical model that investigates the factors or predictors that may
best explain the success rate in the subject field. The model has been designed
according to existing studies and adjusted to support the discussion behind the
success rate of public economics students at third year level. The dependent
variable is effectively the final mark reached, whilst using a dummy variable to
indicate pass or failure. The coefficients or explanatory variables include the age
of the student, the assignment marks, whether studying full-time or not, gender,
home language, the final mark of the pre-requisite microeconomics first and
second-year-level together with the number of repeats of the latter. The
methodology supports an ordinary least squares regression analysis, but because
of binary data, a binary logit model is also investigated. The results suggest that
the final course mark of first year level and especially second year level have a
significant impact on the final mark of third year Public Economics. This was to
be expected in the sense that the Public Economics content is Microeconomic
based. A higher mark for the assignments during the year also usually results in a
higher final mark for the student. Studying in the home language tends to benefit
the student, although a third-year student tends to be more senior and mature in their studies. Age seems to become a factor because a significant gap between
second and third year studies tends to develop, and potentially has a negative
impact on the final results. Part-time students tend to perform better, with the
student possibly more resourceful in terms of facilities and time management. It
was found that the more the student repeated Public Economics in previous years
of study, the probability to pass Public Economics decreased. The more they
repeated second-year Microeconomics, their probability of passing Public
Economics also got lower. This coincides with the final marks variable as
dependent variable. The results may, amongst others, promote a more efficient,
effective and economic e-learning environment, and may further assist in guiding
other tertiary institutions with the challenges arising within the open distance
learning arena.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Z Robinson
Bu kişi benim
Yayımlanma Tarihi
31 Aralık 2018
Gönderilme Tarihi
7 Ağustos 2018
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2018 Cilt: 10 Sayı: 2