Higher Education Institutions require specific admission criteria to select the best candidates for a particular program. This study aims to assess the admission requirements and academic performance of the board and non-board course learners. Specifically, this quantitative study utilized a descriptive-correlational research design. The data came from randomly selected third-year college students in the different Board and Non-Board programs enrolled in the academic year 2020-2021. There were 286 respondents who took part in the study, 153 from the board course program, Bachelor of Science in Elementary Education, and 133 from the non-board course program, Bachelor of Science in Information Technology. The data revealed that the most number of enrollees in the non-board course, BSIT is from the Technical-Vocational-Livelihood (TVL) Strand, while most learners from the Board course, BSEE belong to the General Academic Strand (GAS). Further, findings showed that the High-school Grade Point Average and the College Academic Performance of students from the non-board course, BSIT, were moderately correlated, and a similar relationship is observed for the variables College Admission Test and GPA. Meanwhile, for the Board Course, BSEE, admission tests, and high-school GPA are predictors of college academic performance. On the other hand, high-school strands are not predictors of the BSEE student's GPA. In conclusion, the College admission tests and high-school GPA are essential admission requirements for the board and non-board programs to predict academic performance. However, the high-school strand can be a determining factor for the academic performance for the non-board course, but not for the board course.
This paper aims to explain the prevalence rate of Human Immunodeficiency Virus worldwide. The data matrix of CIA World Fact Book (2015) was used through new methodologies enclosed in fractal statistical analysis and data mining. After analyzing the data sets of different countries, a pattern was observed regarding the spatial epidemiological spread of HIV. Fractal statistical analysis revealed that the dynamic expansion of the virus is towards the northeastern hemisphere. Data mining further exposed that the spread of HIV follows the pathway along the coastal areas, specifically, following the trading system of the different countries. Moreover, being situated in the tropical environment can contribute directly and indirectly to the HIV prevalence through climate temperatures and agricultural productivity. Through these findings, it is then posited that the HIV incidence is not merely due to sexual activities rather it is also sensitive to the environmental characteristics of diferent countries.Keywords: Human Immunodeficiency Virus (HIV), spatial epidemiology pattern, Nightingale's environmental theory, fractal statistical analysis, data mining
This study reports on the development and validation of an instrument for measuring the research culture of different academic institutions. The Research Culture Index (RCI) is an instrument shows the sum of different dimensions namely research competency, research process and research productivity. There were 535 respondents which included the administrators, researchers, and faculty members from six State Universities and Colleges in Region. The validation was done through Delphi method and underwent reliability test using Cronbach Alpha, yielding high-reliability result of 0.8 for two trials. The study revealed that among the three dimensions of the Research Culture Index, research competency significantly influenced the outcome of RCI in the academe as reflected by its high optimal weight. The three prime universities in Region X namely: Mindanao State of Science and Technology; Bukidnon State University and Central Mindanao University, have high research culture index. Demographic data further shows that age has a significant bearing on dimension 1: research competency of the faculty, while the academic rank of the faculty has a significant bearing on the two dimensions namely, research competency, and research process. Keywords: Research Culture Index (RCI), Research Competency, Research Process, Research Productivity
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