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Edig, MA. Melanie
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Religion Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Mathematics learning motivated by computer attitude and social media engagement Almagro, Ronald E.; Edig, MA. Melanie
Journal of Social, Humanity, and Education Vol. 4 No. 2 (2024): February
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jshe.v4i2.1575

Abstract

Purpose: This study aimed to investigate the impact of computer attitudes and social media engagement on students' motivation to learn mathematics. Methodology: The study followed a descriptive-correlational approach involving 181 Grade 11 students from three private schools. Questionnaires and statistical tools were used to gather the data. Results: The results revealed a clear connection between positive computer attitudes and active social media engagement. Moreover, significant evidence has indicated the effectiveness of motivated strategies in improving math learning outcomes. Interestingly, while computer attitudes alone did not significantly influence these strategies, social media engagement had a notable impact. Limitations: Limited generalizability (specific region, Grade 11 private school focus). Contribution: Enhances understanding of the link between computer attitude, social media, and motivated strategies in math learning. Emphasize integrating social media to boost motivation and learning outcomes. Valuable for students, teachers, administrators, and officials in shaping effective strategies. Novelty: One key takeaway is the importance of integrating social media platforms into educational practices to enhance motivation and improve learning outcomes. This study provides valuable insights for students, teachers, administrators, and policymakers as they work together to shape effective learning strategies. Moreover, it offers a unique perspective on the role of technology and social media in fostering motivation and enriching learning experiences.
Time Management And Self-Directed Learning As Predictors Of Academic Performance Of Students In Mathematics GANZON, WILLIAM JR.; EDIG, MA. MELANIE
Journal of Social, Humanity, and Education Vol. 3 No. 1 (2022): November
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jshe.v3i1.1212

Abstract

Purpose: This study determined the influence of time management and self-directed learning on the academic performance of students in Mathematics. Methodology: A quantitative research design utilizing descriptive and correlational approaches was employed. 152 Grade 9 respondents were chosen from private schools in Davao City. Results: The findings indicated that time management is manifested most of the time and self-directed learning is much observed. Moreover, the academic performance in Mathematics is not proficient. Further, time management and self-directed learning were found to have no significant relationship with academic performance in Mathematics. Thus, time management and self-directed learning do not significantly predict academic performance in Mathematics. Limitations: This study only highlighted 152 students and 4 private schools that were offering blended learning modality. Contribution: The results and findings of this study can be used as a basis for creating interventions and programs to address problems in academic performance in Mathematics. Novelty: Most previous studies were conducted in a face-to-face learning modality; however, this study is contextualized in the blending learning modality.
Mathematics learning motivated by computer attitude and social media engagement Almagro, Ronald E.; Edig, MA. Melanie
Journal of Social, Humanity, and Education Vol. 4 No. 2 (2024): February
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jshe.v4i2.1575

Abstract

Purpose: This study aimed to investigate the impact of computer attitudes and social media engagement on students' motivation to learn mathematics. Methodology: The study followed a descriptive-correlational approach involving 181 Grade 11 students from three private schools. Questionnaires and statistical tools were used to gather the data. Results: The results revealed a clear connection between positive computer attitudes and active social media engagement. Moreover, significant evidence has indicated the effectiveness of motivated strategies in improving math learning outcomes. Interestingly, while computer attitudes alone did not significantly influence these strategies, social media engagement had a notable impact. Limitations: Limited generalizability (specific region, Grade 11 private school focus). Contribution: Enhances understanding of the link between computer attitude, social media, and motivated strategies in math learning. Emphasize integrating social media to boost motivation and learning outcomes. Valuable for students, teachers, administrators, and officials in shaping effective strategies. Novelty: One key takeaway is the importance of integrating social media platforms into educational practices to enhance motivation and improve learning outcomes. This study provides valuable insights for students, teachers, administrators, and policymakers as they work together to shape effective learning strategies. Moreover, it offers a unique perspective on the role of technology and social media in fostering motivation and enriching learning experiences.
Co-Authors Almagro, Ronald E. GANZON, WILLIAM JR.