This descriptive study utilized a validated questionnaire to determine the profile of two sets of students and their level of consideration in deciding to enroll in their University. It also determined whether their level of consideration in deciding to enroll in their University significantly differed from each other. It was found out that most of the University of the East (UE) and National University (NU) respondents were male respondents taking up Information Technology. They did not have a home province, lived in Manila and Quezon City, lived in family-owned houses, belonged to a family with five family members, and travelled at least an hour in going to school through jeepneys. On the other hand, they were different in terms of family monthly income (most of the UE respondents belonged to a family with a higher family monthly income) and number of family members who studied in the University (most of the NU respondents had at least one member who studied in the same university). It was also noted that more than a quarter of NU respondents lived near their school. UE and NU respondents agreed that they considered nine and five, respectively, of the eleven institutional image indicators in deciding to enroll in the university. UE respondents had the highest consideration on admission process and course offering while NU respondents had the highest consideration on scholarships and grants. Test of difference between means revealed that the level of considerations of the respondents on the institutional image indicators significantly differed in nine out of the eleven indicators. Thus, the null hypothesis stating that there is no significant difference in the level of consideration of the respondents in deciding to enroll in the two universities in terms of institutional image indicators is partially rejected. Conclusions, recommendations, and limitations of the study were also discussed.
Abstract-This descriptive study utilized a validated instrument to determine the factors that affect failing a programming skill examination. Through this finding, the study attempted to provide solutions to address the concerns of the students. The top three reasons why students failed the programming skill examination were the insufficient time dedicated to programming courses, self-inefficacy in programming, and unmatched questiontime allotment. Overall, respondents attributed their failed mark in programming skill examination to question-related factors. This was confirmed through the use of regression analysis. Hence, it was concluded that students failed the programming skill examination because the perceived ability of the students in the programming skill examination did not correspond with the degree of difficulty of the programming skill examination questions. Further, the null hypothesis stating that student-related concerns do not predict the number of times the programming skill examination would be taken was partially rejected. Hence, it was recommended that the programming skill examination questions be calibrated based on the ability of the students. Future research directions were also presented.
This paper investigated the attitudes of 702 college students toward the implementation of fully online learning during the COVID-19 pandemic. Toward this goal, responses of the students were collected and analyzed through hierarchical cluster and sentiment analyses using the R software. Hierarchical cluster analysis revealed hopeful and apprehensive attitudes toward online learning. Advantages of online learning emerged as positive sentiments while challenges and their impact on mental health emerged as negative sentiments. It is concluded that online learning is a promising platform of learning provided that its shortcomings are addressed. Implications to teaching are offered.
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