Many activities compete for the time students spent on academic activities, but few works have been done on the factors affecting the study times of first and final year students. Questionnaires were given to 150 first and final year students from four colleges of a world-class university located in Ogun State, Nigeria and the aim is to investigate the factors affecting their study time. Ninety-eight representing 65.3% of the students study between 1 and 4 hours per day. Gender, age, level and college affiliation are not associated with their perceived desired results. In the same vein, it was observed that gender and age are not associated with hours of study. However, there are significant associations between the duo of level and college and study hours. Also, there is no significant association (i) Between the number of hours spent on sleeping and the number of hours spent on studying and (ii). The hours spent on study and the desired result. In conclusion, strategies are needed to be crafted and deployed to increase the hours spent on studying by the first and final year students which are likely to give them their desired results and improve the art of learning. Logistic regression on the desired results was predicted by the 3 moderation variables, namely; the gender and level, age and college, and level and college. Intervention programmes are to be incorporated into the curriculum to motivate students in achieving their desired results. Tutorial classes, investment in learning tools, promotion of discussion groups, counselling are recommended for first and final year students to stimulate their interests in their chosen course of study and to prepare them for successful careers.

<p class="0abstract">Effective study plan is a predictor of good academic performance. However, there are few evidences available on the role of gender and age in the study plan for students. This paper investigated the role of gender and age in the adoption of study plan that can guarantee success. A questionnaire was designed and administered to undergraduate students of a world class privately funded university located in Ogun State, Nigeria. Simple random sampling was used and 294 students responded. Chi-square test of independence revealed that gender and age are not associated with frequency of study, study environment, study content preferences and study motivation. There is no Gender difference in the preference of study type, factors that drive, motivation for study and satisfaction with the study plan whereas, age is significantly associated. The logistic regression model was significant and correctly classified 66.3% of satisfaction with the study plan. Gender was not significant and age of students can predict their satisfaction with their study plan. Older students have more odds to be satisfied with their study plan. As students progressed from year one to the final year, they tend to adopt a study plan that can help them obtain high grades and graduate with good result. Artificial Neural Network correctly classified 71.4% of satisfaction using only age as the only factor because, only age contributed significantly to the logistic regression model. Timely academic advising or mentorship is advocated especially for freshers.</p>