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Citations since 2017
6 Research Items
January Febro currently works at the Information Technology Department of the College of Computer Studies in Mindanao State University - Iligan Institute of Technology. January is interested in Computing in Social science, Arts and Humanities.
Skills and Expertise
Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the additional increasing threats that millions of women and girls face because of the rapid spread of ICTs and the expansion of social media. Cases of VAWG wherein ICT and social media are used as platforms by cybercriminals can be seen in the news media coverage. T...
The gender digital divide still exists. Women and girls, particularly in developing countries such as the Philippines, are faced with the gender-based-digital exclusion that hindered them from utilizing ICTs for economic and social development. It is important to educate women and girls in ICT skills despite their financial and social status if sus...
The digital gender divide is a major challenge that needs to be addressed in developing countries. Thus, the focus of this study is to address the digital il-literacy of girls and women that also fuels the digital gender divide. The goal is to produce an e-learning module that focused on the skills to be measured in assessing ICT skill in Sustainab...
Cultural heritage sites are legacies that must be preserved. However, anytime it can be ruined, no one can guarantee its continuance. For this reason, one should ensure that they are well-documented. In this study, a photogrammetry technique was used to generate 3D replicas of the Philippine Baroque churches that can be viewed online. A drone was u...
Abstract: Student retention is an important issue faced by Philippine higher education institutions. It is a key concern that needs to be addressed for the reason that the knowledge they gain can contribute to the economic and community development of the country aside from financial stability and employability. University databases contain substan...
This research uses an approach in Data Mining techniques to analyze historical data of students. The goal was to predict and investigate factors affecting student leavers using university data on at-risk freshmen students in higher institution. Feature selection as preprocessing methods were utilized for 30 potential predictors to identify the most...