Author: Marivel Go, Feliciana Cababat, Limic De La Calzada
Title of Journal Publication: Microplastics in beach sediments, seawater, and common fish in tourist destinations
Date: 2024
Indexed:

Abstract

The global concern over microplastic pollution has been on the rise, primarily due to its detrimental effects on marine ecosystems and the potential health risks it poses to
humans. Tourism activities are the main sources of plastic waste that deteriorates into microplastics. This study monitors microplastic contamination in marine environments at tourist destinations and suggests policies and initiatives that encourage tourism operators, locals, and tourists to adopt practices that reduce
microplastic pollution. This endeavor is in line with the journal’s objective to oversee the environmental consequences and advocate for improved environmental management strategies. This study aims to quantify microplastics in beach sediments, seawater, and the gastrointestinal tract and muscles of three
fish species, Selar crumenophthalmus, Auxis thazard, and Sardina pilchardus, which are commonly found in the municipalities of Moalboal and Badian, tourist destinations in Southern Cebu Province, Philippines.

DOI: 10.22034/gjesm.2024.04.30

Author: Severina P. Velos, Jeem Clyde C. Baird, Arnulf Jairo P. Velos
Title of Journal Publication: Embedded Metacognitive learning to Enhance the educational Socioscientific Decision-Making of Science Students’
Date: 2024
Indexed:

Abstract

The current research set out to find out how different kinds of collaborative training affected students’ ability to make socioscientific decisions and their metacognitive abilities in a science classroom setting. Both presenting socioscientific issues and proposing and evaluating solutions to such difficulties are part of socioscientific decision making. We looked at two different collaborative training techniques that were built using the IMPROVE method and had different embedded metacognitive instructions. Three hundred and thirty-five seniors from three different high schools participated: one in a traditional collaborative learning context (COLED), another in which metacognitive questions were embedded (COLED+EMB), and a control group that did not receive any kind of intervention. On both aspects of socioscientific decision making, the results show that students in the two training circumstances fared better than students in the control group. Students in the COLED+EMB condition were not more successful than those in the COLED condition, nevertheless. All conditions showed an improvement in students’ learning outcomes on the regulatory component of metacognition over time. The posttest results showed that students in the COLED+EMB condition performed the best on average, but these findings were not statistically significant. The discussion centres on the potential consequences of incorporating metacognitive instruction into scientific courses.

DOI: 10.1109/SEB4SDG60871.2024.10630318

Author: Resti Tito Villarino
Title of Journal Publication: Climate Change and Mental Health in the Philippines: a systematic review
Date: 2024
Indexed:

Abstract

The Philippines are at the forefront of climate change impacts, including those related to health, and well-being, but information on mental health and well-being are typically underreported. To help address this research lacuna, we conducted a systematic literature review. We aimed to provide an overview of current research knowledge and research gaps regarding the impacts of climate change outcomes on Filipinos’ mental health and well-being. Consulting 8 databases, we identified 951 records. The final analysis included 32 studies: 15 quantitative, 11 qualitative, 2 longitudinal, 2 experimental, as well as 1 published report, and 1 literature review. A narrative synthesis has been performed to synthesize the findings from included studies. Studies were presented in four sections: 1) Risks to mental health following a natural disaster, 2) Determinants of post-traumatic stress disorder risks, 3) Resilience and post-traumatic growth following natural disasters, and 4) Personal experiences and other mental health outcomes. Reviewed data show that climate change outcomes strongly and negatively impact Filippino’s mental health and well-being. Climate change outcomes also, negatively affect mental health through indirect (e.g., sleep disorders) and long-term pathways for example by being exposed to stressors such as migration, conflict, and violence. A set of coping strategies were identified which include banding together, mobilizing health experts, expanding the local relationships with health workers. Finally, a set of recommendations have been proposed to help the Philippines build a climate-resilient public mental health.

DOI:10.31234/osf.io/k74bp

Author: Ana Jean E. Cardona
Title of Journal Publication: Impact of Technology-Assisted Learning on Academic Achievement in Students with Learning Disabilities
Date: 2024
Indexed: SCOPUS

Abstract

The integration of technology-assisted learning (TAL) has shown potential in enhancing academic achievement for students with learning disabilities (LD). This study examines the impact of TAL on the academic performance of 16 students with LD in a higher education setting. Utilizing a mixed-methods research design, the study combines quantitative analysis with qualitative insights to evaluate the effectiveness of TAL tools. The quantitative phase involved pre- and post-intervention assessments of academic performance, while the qualitative phase included in-depth interviews with students and educators to explore their experiences and perceptions of TAL. Results indicate that students with LD who engaged with TAL tools demonstrated significant improvements in academic scores in reading comprehension and increased engagement with learning materials. Students reported enhanced instructional effectiveness and more personalized learning experiences for students. The findings underscore the value of TAL in supporting students with LD and highlight the need for continued development and integration of these tools in educational settings. Targeted training and support for both students and educators are recommended to maximize the benefits of technology-assisted learning. The findings underscore the critical role of technology-assisted learning in improving academic outcomes for students with learning disabilities, advocating for its broader implementation in educational and special education settings to enhance personalized learning and instructional effectiveness.

https://doi.org/10.48165/bapas.2024.44.2.1

Author: Johnry Dayupay
Title of Journal Publication: Application of Machine Learning in Energy Storage: A Scientometric Research of a Decade
Date: 2024
Indexed: SCOPUS

Abstract

The publication trends and bibliometric analysis of the research landscape on the applications of machine/deep learning in energy storage (MES) research were examined in this study based on published documents in the Elsevier Scopus database between 2012 and 2022. The PRISMA technique employed to identify, screen, and filter related publications on MES research recovered 969 documents comprising articles, conference papers, and reviews published in English. The results showed that the publications count on the topic increased from 3 to 385 (or a 12,733.3% increase) along with citations between 2012 and 2022. The high publications and citations rate was ascribed to the MDLES research impact, co-authorships/collaborations, as well as the source title/journals’ reputation, multidisciplinary nature, and research funding. The top/most prolific researcher, institution, country, and funding body on MDLES research are; is Yan Xu, Tsinghua University, China, and the National Natural Science Foundation of China, respectively. Keywords occurrence analysis revealed three clusters or hotspots based on machine learning, digital storage, and Energy Storage. Further analysis of the research landscape showed that MDLES research is currently and largely focused on the application of machine/deep learning for predicting, operating, and optimising energy storage as well as the design of energy storage materials for renewable energy technologies such as wind, and PV solar. However, future research will presumably include a focus on advanced energy materials development, operational systems monitoring and control as well as techno-economic analysis to address challenges associated with energy efficiency analysis, costing of renewable energy electricity pricing, trading, and revenue prediction.

DOI:10.1007/978-3-031-48981-5_10

Author: Limic M. De La Calzada, Rex V. Culpable
Title of Journal Publication: Bibliographic Exploration of Application of Machine Learning and Artificial Intelligence in Solar Energy
Date: 2024
Indexed:

Abstract

Solar energy could mitigate global warming and climate change. Solar energy faces economic, environmental, and technical challenges. Machine learning solves these technical issues. Despite several studies, machine learning in photovoltaics and solar energy is understudied. This study examines publishing patterns and bibliometrics to critically evaluate machine learning applications in photovoltaics and solar energy research. Scopus uses PRISMA. International publishing, citations, and collaboration are high. The Chinese Ministry of Education employs famous scholars like G. E. Georghiou and Haibo Ma. China is most active due to funding schemes like the National Natural Science Foundation and the National Key Research and Development Programme. This study examines publication patterns by country, institution, and funding organisation from 2014 to 2022, spanning topic categories and indicators. Examining author-keyword data to group publishing themes and identify influential journals. Increasing understanding of machine learning applications in photovoltaics and solar energy research. This project will examine the potential for significant development and the hurdles that must be overcome to leverage Cognitive Computing’s benefits in cancer and tumour research. In response to the rising amount of malware, phishing, and intrusion attacks on global energy and grid infrastructure, photovoltaic and solar energy system cybersecurity may be studied.

DOI:10.1109/SEB4SDG60871.2024.10629967

Author: Maria Concepcion Temblor
Title of Journal Publication: Awareness and Utilization of AI-Powered Referencing Tools and Research Engines among Science Teachers: An Analysis through the Technology Acceptance Model
Date: 2024
Indexed:

Abstract

The rapid advancement of artificial intelligence (AI) has led to the development of AI-powered referencing tools that enhance academic writing and research processes. This study explores the awareness and utilization of these tools among 71 randomly sampled science educators in two selected higher education institutions in the Philippines. Results revealed Google Scholar and Semantic Scholar are the most popular AI referencing and search engine tools, science educators generally have a positive perception of AI-powered referencing tools, particularly regarding their usefulness and the benefits they offer in enhancing academic referencing. However, there are usability challenges that need to be addressed, as mixed responses regarding ease of use indicate room for improvement in user experience. Gender differences in perceptions of usefulness and ease of use were noted, but both male and female educators ultimately shared similar attitudes and usage patterns once engaged with the tools. The uniform acceptance across age groups further suggests that these tools are widely valued, with strong correlations between ease of use, attitude, and actual usage reinforcing the critical role of user-friendly design in technology adoption. The findings imply that integrating user-friendly AI-powered referencing tools into science education can enhance academic writing efficiency, while highlighting the need for continuous improvement and consideration of diverse user experiences in both practice and theoretical frameworks of educational technology adoption.

DOI: Unavailable

Author: Donalyn Sabanal, Mariza Gako, Herson Dela Torre, Jamaica Sabanal, Rex So, John Bacal, Lyvelle Corgio, Jen Laroga, Cecil Camallere, Mary Joy Pagador, Reza Barino, Kryzdale Mameng, Marivel Go, Nanet Goles
Title of Journal Publication: Predictive model for college students’ performance in higher mathematics
Date: 2024
Indexed:

Abstract

This study investigated the influence of psychological factors (attitude, learning engagement, motivation, and self-efficacy) and instructional factors (teacher-related factors and learning environment) on college students’ performance in higher mathematics. It developed a predictive model for higher math performance. This utilized a cross-sectional research design using a survey to gather data at a university in Cebu province, Philippines, with 391 students from Bachelor of Science in Industrial Engineering and Bachelor of Secondary Education Major in Mathematics programs selected through purposive sampling, resulting in an 87% response rate. Data were analyzed using descriptive statistics, Pearson correlation, and multiple regression. Findings revealed that students generally held positive attitudes towards math, demonstrated average learning engagement, were highly motivated, and reported average self-efficacy. Both teacher-related factors and the learning environment were perceived very positively. While both psychological and instructional factors showed significant positive correlations with mathematics performance, multiple regression analysis indicated that only attitude was not a significant predictor. Learning engagement emerged as the strongest predictor, followed by learning environment and self-efficacy. The main contribution of this study is the creation of a predictive model, Higher Mathematics Performance = 1.82 + 0.008 (attitude) + 0.257 (learning engagement) + 0.039 (motivation) + 0.098 (self-efficacy) + 0.084 (teacher-related factors) + 0.155 (learning environment) + e, which accounted for 82.7% of the variance in higher mathematics performance. Hence, the predictive model developed in this study can serve as a valuable tool to design interventions and effective strategies for improving mathematics performance and overall academic achievement in higher education. This leads to a broad picture of the fact that these factors are correlated and how the various correlations can describe strategies for proposing relevant programs necessary for the improvement of performance in higher mathematics.

DOI:10.1016/j.ssaho.2024.101134

Author: Maria Mae Singco, Kim Louie Andulana, Marivic Layola, Analyn Navarro, Jane Pañe, Jessa Marie Sanchez, Kristine Valera, Cyril Cabello
Title of Journal Publication: Math Teachers’ Pedagogical Modifications in the Full Face-to-Face Classes: A Qualitative Inquiry
Date: 2024
Indexed:

Abstract

Mastering Mathematics can take a lot of effort but takes the proper skills and ongoing practice. Imparting knowledge to the students in mathematics subjects that are known to be difficult has been a challenge for math teachers. From modular to full face-to-face classes, there have been several adjustments and difficulties for teachers, which pushed the researchers, to come up with the study about the pedagogical modifications done by the teachers. In particular, the teachers’ coping strategies and the milestones that they have achieved after classes will also be determined. Mathematics teachers at Badian National High School were chosen as ten participants in this qualitative study. Specifically, it utilized Heideggerian phenomenology and interpretative phenomenological analysis (IPA), anchored on the modified Van Kaam approach popularized by Moustakas. Hence, the following themes emerge: (1) The Adjustment, (2) The Struggle, (3) The Motivation, and (4) The Scheme. In conclusion, difficulties in online classes are the unstable internet connection and the need to focus on online discussions, while the adjustments in full face-to face classes are time management, financial problems, and the distance between the house and school. It is recommended to hear out the voices of the teachers in their difficult times, help address them, and might as well be given some benefits for all their efforts in teaching young minds.

Keywords: math teachers, motivation, strategies, lived experience, mathematics

DOI: 10.5281/zenodo.13304367

Author: Maria Junavie Quilestino, Edel Atienza, Anjielyn Baguio, Joyce Bornea, Clear Caldusa, Jey Ann Cortes, Jevan Javierto, John Panuan, Cyril Cabello
Title of Journal Publication: Students’ Challenges in Embracing Various Teaching Strategies in Mathematics: A Phenomenology
Date: 2024
Indexed:

Abstract

Mathematics is a complex subject where different teaching strategies need to be considered and utilized to teach more engagingly. However, each student has a different level of intellectual capacity some can learn fast, and some take time to internalize the topic. This study investigates the lived experiences of the students towards different strategies in teaching mathematics. The study used a qualitative methodology that utilizes Heideggerian Phenomenology and Interpretative Phenomenological Analysis (IPA) anchored on the Modified Van Kaam Approach popularized by Moustakas. The participants in this study were chosen using purposive sampling with inclusion criteria. The researchers conducted face-to-face interviews with ten BSED-Math students who are studying at Cebu Technological University which led to the following themes (1) The Pessimist, (2) The Optimist, (3) The Self-Directed, (4) The Discomfort, and (5) The Teachers’ Criticizers. These themes emphasized the experiences and the unbearable pain of the students. It is advised to take the participants’ degree of intelligence into account when planning how the teacher will present the lesson and by soliciting and taking into account the students’ feedback both during and after the discussion as the class as a whole will benefit from smooth learning transitions.

Keywords:  students’ challenges, Heideggerian phenomenology, lived experiences, teaching strategies, mathematics

DOI: 10.5281/zenodo.13304149

Author: Deutsche Rondina, Althea Cataytay, Marjorie Demecillo, Analyn Deo, Shenna Diong, Jeremae Guzman, Irvin Javierto, Ella Timtim, Cyril Cabello
Title of Journal Publication: A Wrong Turn to the Right Direction: The Lived Experiences of Pre-Service Math Teachers
Date: 2024
Indexed:

Abstract

Mathematics has been known to be an intimidating subject to study, which leads many students to choose other courses instead of majoring in Mathematics. This qualitative study investigated the lived experiences of the students who chose Mathematics as their second option, the challenges they faced while taking the course, and the variables that influenced their decision to specialize in Mathematics education in college. Using the Heideggerian Phenomenology and Interpretative Phenomenological Analysis (IPA) based on Moustakas Modified Van Kaam Approach, the study analyzes the narratives of 16 participants from Bachelor of Secondary Education (BSEd) Math 1 students at Cebu Technological University-Moalboal Campus and identifies four core themes: (1) The Seeker, (2) The Warrior, (3) The Motivated, and (4) The Consequences of Choices. The findings suggest that these students have developed a strong sense of purpose and motivation despite facing challenges along the way. It is recommended that schools should implement programs to change student’s perspectives on BSEd Mathematics courses and further investigation of various instructional techniques and approaches should be done to foster the appreciation of Mathematics among students.

Keywords:  motivation, lived experiences,, Heideggerian phenomenology,, mathematics pre-service teachers,, instructional techniques

DOI: 10.5281/zenodo.13303949

Author: Percival Mabanto Jr, Venz Erika Enesola, Jenny Lobiano, Jomarc Pepito, Kheia Sabanal, Rey Zel Silagpo, Zachary Sumampong, Jane Talotalo, Cyril Cabello
Title of Journal Publication: The In and Out Motivation of Pre-Service Math Teachers in the Current Shift of Learning Modality
Date: 2024
Indexed:

Abstract

Motivation allows students to get interested in learning, serving as a “bridge” to academic achievement. However, mathematics is deemed as a complex one and involves a lot of thinking to understand its concepts which leads students to get discouraged which transforms motivation into a “broken bridge” due to several aspects. The study traverses and elucidates the lived experiences of students in terms of their motivation in learning mathematics lessons. The study, with a qualitative approach, uses Heideggerian Phenomenology and Interpretative Phenomenological Analysis (IPA) anchored on the modified Van Kaam Approach popularized by Moustakas. The selection of the participants was done with a purposive strategy aligning with the inclusion criteria set in this study. The process of gathering the data was done through conducting interviews with ten student participants from BSEd-Math 1 in Cebu Technological University – Moalboal Campus. The themes of the study are Theme 1: The Broken Drive, Theme 2: The Rebuilding, and Theme 3: The Hope collectively represent the lived experiences of the students in terms of their motivational aspect in learning the mathematics subject. Results of this study show that there are varieties of reasons why students have low motivation in learning mathematics, and at the same time have a different way of coping with such difficulties encountered. It is recommended that parents should encourage their children to cope with their learning difficulties, and teachers should encourage students academically in a way of employing the interest of their students in discussing the mathematics lessons.

Keywords:  motivation, pre-service math teachers, lived experiences, phenomenology, mathematics

DOI: 10.5281/zenodo.13304271