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The purpose of this study is to determine the effects of four different forms of feedback (such as, complete solution, line-by-line correction, line-by-line hint and correct-incorrect final answer) of a mobile-assisted learning application on linear equations and motivation of students towards mathematics learning on students’ mathematics performance.

Totally, 285 Grade 7 students (72 students each for the first-three feedback and 69 students for the last feedback) participated in the five-day experiment. A validated instrument was utilized to determine the motivation of students in learning mathematics.

It was revealed that students solved more problems and spent more time in the line-by-line hint type of feedback. The correct-incorrect final answer group had the most number of incorrect problems solved. It was found that the scores of the students would be different from one another after they utilized the app. Nonetheless, all of them learnt significantly from the app. Five steps of hierarchical regression revealed that all types of feedback were consistent predictors of posttest scores. Thus, the first null hypothesis stating that there is no significant difference between the pretest and posttest scores of the students when categorized by different forms of feedback was rejected. The second null hypothesis stating that the four types of feedback and motivation of students do not influence mathematics performance is partially rejected.

The study can be replicated in a school with a different atmosphere.

The use of the application is highly recommended for students who are beginning to learn linear equations. Teachers can replicate the four types of feedback in an actual classroom setting.

It was confirmed that the four types of feedback can teach the students learn mathematics, regardless of the motivation of the students.

The purpose of this paper is to determine the influence of students’ profiles and the usage of e-books, online educational materials, and other programming books on the adoption of printed programming textbooks for computing students. It was hypothesized that the predictor variable set could not explain any of the variance of the dependent variables.

This descriptive study utilized a content-validated questionnaire. The study involved 190 student participants. Canonical correlation analysis was employed to determine whether students’ profiles and use, perceived usefulness, and preference of e-books, online educational materials, and other programming books explained any variance in printed programming textbook adoption.

Printed programming textbook adoption could be explained by two functions. The first function revealed that the use and the perceived usefulness of textbooks were positively influenced by the use of e-books and other programming books and by the perceived usefulness of e-books, fora/blogs, other programming books, and YouTube. The second function revealed that the use of printed programming textbooks alone was positively influenced by the use of e-books and other programming books but was negatively influenced by the perceived usefulness of programming websites and YouTube and by the preference of programming websites over textbooks.

The study provided empirical evidence that e-books, other programming books, and online educational materials provide additional resources to students. Thus, e-books, online educational materials, and other programming books complement, rather than threaten, the existence of printed programming textbooks.

The purpose of this paper is to report the results of spatiotemporal analysis of the 3,506 fire incidents in the city of Manila from 2011 to 2016.

A spatiotemporal and statistical analysis was carried out to determine the pattern of fire incidents in the city of Manila.

Fire incidence in Manila did not exhibit any pattern in terms of time, day of the week or month of the year. However, fire incidence did exhibit a pattern in terms of location. Faulty electrical connections are the major cause of fires throughout the year and throughout the 14 municipalities of Manila. Thus, the null hypothesis stating that spatiotemporal characteristics of cases of fire in the city of Manila do not exhibit a pattern is partially rejected.

Future studies may investigate the influence of building maintenance, government control, and cooking and cigarette-disposal behaviors on fire occurrence. It is recommended that the study be replicated in other cities of Metro Manila.

Based on the causes and the spatiotemporal characteristics of fires, stakeholders (e.g. government, Bureau of Fire Protection, local government units (LGUs), communities and residents) can be informed about how to prevent fires. LGUs and government agencies can utilize the findings of this study in developing fire prevention programs for the municipalities with the highest incidence of fires.

These findings can serve as a basis for policy formulation and as a reference for the allocation of fire prevention resources and for the literature on strategic planning for fire prevention in Manila.