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A survey was conducted to study the preferred learning strategies;
that is, surface learning or deep learning of undergraduate and
graduate male and female students and the impact of the preferred
strategy on their academic performance. Both learning strategies
help university students to get good scores in their examinations to
meet the demands of industry in workforce. Quantitative research
method was used to determine the impact of learning strategy on
academic achievements. The R-SPQ2F questionnaire was sent
to 103 students through Google forms and hard copies through
snowball sampling technique. The results show that rote learning
and academic performance are inversely related to each other. In
high achievers, deep learning is significant as compared to low
achievers. Furthermore, comparative analysis of learning styles
on males and females showed that both preferred deep learning
strategy equally. Learning strategy is not related to education level
of students because there is no difference among preferred learning
strategies of graduate and undergraduate students
Ambreen Ahmed, Nawaz Ahmad. (2018) Comparative Analysis of Rote Learning on High and Low Achievers in Graduate and Undergraduate Programs, Journal of Education and Educational Development, volume 4, issue 4.1.
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