Are Students Submitting their Mathematics Outputs on Time during the COVID-19 Pandemic?: A Statistical Modeling

During the pandemic, submitting students' outputs in mathematics is seldom on time because of a lack of focus on doing their activities before the deadline. In fact, several causal factors cause the students' submission process of mathematics outputs. Hence, this study focused on investigating the factors of outputs submission on time among students at Visayas State University taking a mathematics course online amid the new normal. The study involved statistical measures to summarize the variables of interest and employed binary logistic regression to model the causal factors affecting the students' submission on time. Results revealed that only 26.15% of the students are submitting their mathematics outputs on time. This means that during the pandemic, several students are having difficulty submitting their outputs on or before the given deadline. The logistic regression model showed that the significant factors that influence the students' submission on time include the availability of laptops (p- value=0.011), money spent on internet load (p-value=0.062), small household size (p- value=0.087), and internet signal strength (p-value=0.020). It is concluded that appropriate gadgets (technology) for online learning are a great help in accomplishing learning tasks on time. Additionally, less distraction at home, enough budget, and a good internet signal can progress their required mathematics activities and sustain an effective learning behavior amid the distance learning process. Hence, students must be supported by the Philippine government in terms of their need for learning tools that are suitable for online learning. Furthermore, teachers must provide attainable learning tasks given the deadline of submission and encourage their students to develop time scheduling management for their mathematics activities.

Mathematics Students' Coping Behaviour, Happiness, and Self-efficacy in the New Normal: Correlation and K-means Cluster Analysis

Students in distance education are expected to have low levels of happiness in learning. As such, they must possess coping behaviour and self-efficacy to become motivated in school. This article aims to depict the level of students' coping behaviour, happiness, and self-efficacy in learning mathematics amid the COVID-19 pandemic and determine their association. Primary data were gathered through Google Forms from 233 available Philippines. The data were summarized through selected descriptive statistics and depicted their relationship with the aid of Spearman rho correlation. In addition, Kmeans clustering was employed to categorize the students into similar characteristics in regard to coping, happiness, and efficacy. The results showed that students during the pandemic are coping, moderately happy, and possess moderate self-efficacy. The correlation analysis revealed that students' coping behaviour, happiness level, and selfstudents' coping, happiness, and efficacy levels must go together to achieve a good means clustering analysis revealed that there are a group of students with significantly mathematics teachers must encourage their students to engage in the classroom to boost the health crisis.

On modelling student's resilience in learning statistics at a distance

Learning statistics online during the COVID-19 pandemic became a challenging experience for most students in higher institutions. This study aimed to measure the students' level of resilience and determine its influencing factors in distance learning during the pandemic. Data from an availability sampling of 129 engineering students were gathered with the aid of a Google form survey. The study used some descriptive measures and employed a regression modeling approach to extract detailed information from the survey data. Results showed that, on average, students were considered "resilient" in learning statistics during the pandemic. Statistical models revealed that sex, number of family members, household assets, and level of how conducive learning at home are significant predictors of students' resilience. Additionally, the model showed that male students are more resilient compared to female students. Lastly, more family members and household assets can increase students' resilience level as well as a comfortable place (at home) for learning. Hence, the study suggests that teachers must strengthen the interest of students especially female students by showing them a good attitude that promotes well-being. Furthermore, teachers must regularly monitor their learning progress, and provide comfortable and reasonable learning activities suitable for distance learning.

Modeling Employee Retention Amidst COVID-19 Pandemic: An Econometric Approach

Employee retention is one of the human resource management (HRM) issues. This study determines the factors that significantly influence employee retention amidst the COVID-19 pandemic. The study employs complete enumeration and uses primary data. After which, the results are analyzed using descriptive statistics and econometric modeling. Results reveal that employees are satisfied to do their respective jobs (M=4.09, SD=0.48). In addition, they show that the determinants such as other income (p-value=0.024), length of service (p-value=0.099), as well as reward and recognition (p-value=0.015), are significant influences to employees’ retention. Hence, these conclude that better remuneration (and the increase thereof) are more likely to retain existing employees and attract employees from other organizations. Furthermore, the study specifically recommends that employee retention be improved by further refining reward and recognition that surely meet the needs and well-being of the employees. © 2022, University of San Jose-Recoletos. All rights reserved.

Modeling students' innovativeness and its factors in learning mathematics amidst COVID-19 pandemic

Innovation allows learners to cope with changes and discover new opportunities. This study aimed to investigate the students' level of innovativeness in learning mathematics amidst the COVID-19 pandemic. A non-probabilistic sampling of 132 students enrolled in Mathematics from Visayas State University were the respondents. Descriptive measures were used to summarize the results, and econometric modeling was constructed to determine significant determinants affecting students' innovativeness. On average, it was found that students considered themselves as "late majority adopters" during the pandemic. This implies that students during the pandemic are considered to have a low level of innovativeness in adopting the new normal activities in distance learning. Result revealed that household assets, monthly household expense, submission of outputs, and health significantly influence students' innovativeness in learning mathematics. Hence, the government must support the students with regard to learning technologies, and teachers should motivate students to adapt to the new setup of classes with an appropriate platform and meaningful activities. Furthermore, the government must prioritize the health of students as they learn during the pandemic.