THE INFLUENCE OF PARENTS' ECONOMIC WELFARE ON VOCATIONAL HIGH SCHOOL STUDENTS' LEARNING MOTIVATION
Abstract
This study explores the impact of parents' economic status on students' learning motivation at SMKN 1 Guguk. Education is the cornerstone of national development, and in Indonesia, educational success is determined not only by the quality of teaching but also by external factors such as parental economic status. The research reveals that family economic level plays a crucial role in students' access to educational facilities, which affects their learning motivation. Students from well-off families tend to have more learning tools and adequate support, whereas those from low-income families often lack essential facilities, impacting their motivation and academic performance. This study employs a descriptive method with a quantitative approach, involving 79 students as the sample. A questionnaire was used as the research instrument to measure the variables of parents' economic status and students' learning motivation. The analysis results show a significant correlation between economic conditions and students' learning motivation. These findings provide insights for educators, parents, and policymakers in designing effective strategies to enhance students' learning motivation, notably for those from economically disadvantaged families. The results are expected to improve the quality of education at SMKN 1 Guguk and serve as a basis for more inclusive and equitable educational policies in Indonesia.
References
Adeleke, I. J., & N. Onyebuchi, C. (2023). Challenges Teachers Experience in Teaching English Second Language in Secondary Schools in the Northwest Province. World Languages, Literature and Cultural Studies, 2(1), 11–19. https://doi.org/10.26480/wllcs.01.2023.11.19
Al-Said, K. (2023). Influence of teacher on student motivation: Opportunities to increase motivational factors during mobile learning. Education and Information Technologies, 28(10), 13439–13457. https://doi.org/10.1007/s10639-023-11720-w
Alam, M. J., Ogawa, K., & Islam, S. R. Bin. (2023). e-Learning as a Doubled-Edge Sword for Academic Achievements of University Students in Developing Countries: Insights from Bangladesh. Sustainability (Switzerland), 15(9), 1–15. https://doi.org/10.3390/su15097282
Alharbi, A. M. (2023). Implementation of Education 5.0 in Developed and Developing Countries: A Comparative Study. Creative Education, 14(05), 914–942. https://doi.org/10.4236/ce.2023.145059
Aslamiah, S., Karyatun, S., & Digdowiseiso, K. (2023). The Influence of Return on Assets, Current Ratio and Debt to Asset Ratio on Financial Distress in Consumption Goods Industry Sector Companies Listed on The Indonesia Stock Exchange in 2017-2021. Jurnal Syntax Admiration, 4(4), 583–596. https://doi.org/10.46799/jsa.v4i4.843
Choirudin, Sugianto, R., Darmayanti, R., & Muhammad, I. (2023). Teacher Competence in The Preparation of Test and Non-Test Instruments. Journal of Teaching and Learning Mathematics, 1(1), 25–32. https://doi.org/10.22219/jtlm.v1i1.27695
Cui, T., Kam, C. C. S., Cheng, E. H., & Liu, Q. (2023). Exploring the factors relating to academic resilience among students with socioeconomic disadvantages: Factors from individual, school, and family domains. Psychology in the Schools, 60(4), 1–16. https://doi.org/10.1002/pits.22824
Fiandini, M., Nandiyanto, A. B. D., Al Husaeni, D. F., Al Husaeni, D. N., & Mushiban, M. (2024). How to Calculate Statistics for Significant Difference Test Using SPSS: Understanding Students Comprehension on the Concept of Steam Engines as Power Plant. Indonesian Journal of Science and Technology, 9(1), 45–108. https://doi.org/10.17509/ijost.v9i1.64035
Fortuna, A., Prasetya, F., Luis, J., García, C., Maria, J., Salman, A., Karimi, A., & Yusuf, A. (2024). Modern learning paradigms : A bibliometric analysis of augmented reality and virtual reality in vocational education. Jurnal Pendidikan Teknologi Kejuruan, 7(2), 91–114. https://doi.org/10.24036/jptk.v7i2.36523
Guzik, P., & Więckowska, B. (2023). Data distribution analysis – a preliminary approach to quantitative data in biomedical research. Journal of Medical Science, 92(2), 81–96. https://doi.org/10.20883/medical.e869
Hardiansyah, F., Armadi, A., Misbahudholam AR, M., & Wardi, M. (2024). Analysis of Field Dependent and Field Independent Cognitive Styles in Solving Science Problems in Elementary Schools. Jurnal Penelitian Pendidikan IPA, 10(3), 1159–1166. https://doi.org/10.29303/jppipa.v10i3.5661
Hernandez-Pavon, J. C., Veniero, D., Bergmann, T. O., Belardinelli, P., Bortoletto, M., Casarotto, S., Casula, E. P., Farzan, F., Fecchio, M., Julkunen, P., Kallioniemi, E., Lioumis, P., Metsomaa, J., Miniussi, C., Mutanen, T. P., Rocchi, L., Rogasch, N. C., Shafi, M. M., Siebner, H. R., … Ilmoniemi, R. J. (2023). TMS combined with EEG: Recommendations and open issues for data collection and analysis. Brain Stimulation, 16(2), 567–593. https://doi.org/10.1016/j.brs.2023.02.009
Hidayatullah, A., & Csíkos, C. (2024). The Role of Students’ Beliefs, Parents’ Educational Level, and The Mediating Role of Attitude and Motivation in Students’ Mathematics Achievement. Asia-Pacific Education Researcher, 33(2), 253–262. https://doi.org/10.1007/s40299-023-00724-2
Isman, A., Inanc, A. S., & Cotok, N. A. (2023). an Analysis of Personal Factors Affecting Learning Motivation: a Research on the Online Education Process During Covid-19 Period in Turkiye. Turkish Online Journal of Distance Education, 24(1), 88–108. https://doi.org/10.17718/tojde.1098268
King, R. B., Cai, Y., & Elliot, A. J. (2024). Income inequality is associated with heightened test anxiety and lower academic achievement: A cross-national study in 51 countries. Learning and Instruction, 89(January), 1–10. https://doi.org/10.1016/j.learninstruc.2023.101825
Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing, 39(2), 1–9. https://doi.org/10.1016/j.soncn.2023.151398
Krido Bangun Nugroho, D. K., Raharjo, T. J., & Utomo, U. (2020). The Relationship between Parents’ Learning Motivation and Socio-Economic Status with Science Learning Achievement. Journal of Primary Education, 9(5), 518–526. https://doi.org/10.15294/jpe.v9i5.43239
Langenberg, B., Janczyk, M., Koob, V., Kliegl, R., & Mayer, A. (2023). A tutorial on using the paired t test for power calculations in repeated measures ANOVA with interactions. Behavior Research Methods, 55(5), 2467–2484. https://doi.org/10.3758/s13428-022-01902-8
Li, S., Tang, Y., & Zheng, Y. (2023). How the home learning environment contributes to children’s social–emotional competence: A moderated mediation model. Frontiers in Psychology, 14(February), 1–19. https://doi.org/10.3389/fpsyg.2023.1065978
Liubchenko, V. V., Komleva, N. O., Zinovatna, S. L., & Briggs, J. (2023). Methodology for illness detection by data analysis techniques. Applied Aspects of Information Technology, 6(3), 273–285. https://doi.org/10.15276/aait.06.2023.19
Minervini, G., Franco, R., Marrapodi, M. M., Di Blasio, M., Ronsivalle, V., & Cicciù, M. (2023). Children oral health and parents education status: a cross sectional study. BMC Oral Health, 23(1), 1–7. https://doi.org/10.1186/s12903-023-03424-x
Moghadasi, J., & Keikavoosi-Arani, L. (2023). Investigating the factors influencing students’ academic enthusiasm for a shift of paradigm among education managers shaping academic pedagogy. BMC Medical Education, 23(1), 1–13. https://doi.org/10.1186/s12909-023-04453-4
Muktamar B, A., Kardini, N. L., Elshifa, A., Adiawaty, S., & Cicik Wijayanti, T. (2023). The Role of Quality Human Resources in Developing Missions of Future Universities in Indonesian Higher Education. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 4(1), 49–59. https://doi.org/10.31538/munaddhomah.v4i1.342
Munir, J., Faiza, M., Jamal, B., Daud, S., & Iqbal, K. (2023). The Impact of Socio-economic Status on Academic Achievement. Journal of Social Sciences Review, 3(2), 695–705. https://doi.org/10.54183/jssr.v3i2.308
Nunes, C., Oliveira, T., Castelli, M., & Cruz-Jesus, F. (2023). Determinants of academic achievement: How parents and teachers influence high school students’ performance. Heliyon, 9(2), e13335. https://doi.org/10.1016/j.heliyon.2023.e13335
Prasetya, F., Fortuna, A., Samala, A. D., Rawas, S., Mystakidis, S., Syahril, Waskito, Primawati, Wulansari, R. E., & Kassymova, G. K. (2024). The impact of augmented reality learning experiences based on the motivational design model: A meta-analysis. Social Sciences and Humanities Open, 10(February), 100926. https://doi.org/10.1016/j.ssaho.2024.100926
Salendab, F. (2023). Proposed Instructional Scheme in the New Normal Education: Basis for Pedagogical Strategies/Practices. Psychology and Education: A Multidisciplinary Journal, 6(8), 712–719. https://doi.org/10.5281/zenodo.7502764
Schulz, M. (2023). E-Learning as a Development Tool. Sustainability, 15(20), 15012. https://doi.org/10.3390/su152015012
Vadivel, B., Alam, S., Nikpoo, I., & Ajanil, B. (2023). The Impact of Low Socioeconomic Background on a Child’s Educational Achievements. Education Research International, 2023(January), 1–11. https://doi.org/10.1155/2023/6565088
Waskito, W., Wulansari, R. E., Rifelino, R., Fortuna, A., Nyamapfene, A., & Jalil, S. A. (2024). Constructivist Feedback-Based Assessment Method as Key for Effective Teaching and Learning: The Development and Impact on Mechanical Engineering Students’ Adaptive Capacity, Decision Making, Problem Solving and Creativity Skills. International Journal of Cognitive Research in Science, Engineering and Education, 12(1), 57–76. https://doi.org/10.23947/2334-8496-2024-12-1-57-76
Adeleke, I. J., & N. Onyebuchi, C. (2023). Challenges Teachers Experience in Teaching English Second Language in Secondary Schools in the Northwest Province. World Languages, Literature and Cultural Studies, 2(1), 11–19. https://doi.org/10.26480/wllcs.01.2023.11.19
Al-Said, K. (2023). Influence of teacher on student motivation: Opportunities to increase motivational factors during mobile learning. Education and Information Technologies, 28(10), 13439–13457. https://doi.org/10.1007/s10639-023-11720-w
Alam, M. J., Ogawa, K., & Islam, S. R. Bin. (2023). e-Learning as a Doubled-Edge Sword for Academic Achievements of University Students in Developing Countries: Insights from Bangladesh. Sustainability (Switzerland), 15(9), 1–15. https://doi.org/10.3390/su15097282
Alharbi, A. M. (2023). Implementation of Education 5.0 in Developed and Developing Countries: A Comparative Study. Creative Education, 14(05), 914–942. https://doi.org/10.4236/ce.2023.145059
Aslamiah, S., Karyatun, S., & Digdowiseiso, K. (2023). The Influence of Return on Assets, Current Ratio and Debt to Asset Ratio on Financial Distress in Consumption Goods Industry Sector Companies Listed on The Indonesia Stock Exchange in 2017-2021. Jurnal Syntax Admiration, 4(4), 583–596. https://doi.org/10.46799/jsa.v4i4.843
Choirudin, Sugianto, R., Darmayanti, R., & Muhammad, I. (2023). Teacher Competence in The Preparation of Test and Non-Test Instruments. Journal of Teaching and Learning Mathematics, 1(1), 25–32. https://doi.org/10.22219/jtlm.v1i1.27695
Cui, T., Kam, C. C. S., Cheng, E. H., & Liu, Q. (2023). Exploring the factors relating to academic resilience among students with socioeconomic disadvantages: Factors from individual, school, and family domains. Psychology in the Schools, 60(4), 1–16. https://doi.org/10.1002/pits.22824
Fiandini, M., Nandiyanto, A. B. D., Al Husaeni, D. F., Al Husaeni, D. N., & Mushiban, M. (2024). How to Calculate Statistics for Significant Difference Test Using SPSS: Understanding Students Comprehension on the Concept of Steam Engines as Power Plant. Indonesian Journal of Science and Technology, 9(1), 45–108. https://doi.org/10.17509/ijost.v9i1.64035
Fortuna, A., Prasetya, F., Luis, J., García, C., Maria, J., Salman, A., Karimi, A., & Yusuf, A. (2024). Modern learning paradigms : A bibliometric analysis of augmented reality and virtual reality in vocational education. Jurnal Pendidikan Teknologi Kejuruan, 7(2), 91–114. https://doi.org/10.24036/jptk.v7i2.36523
Guzik, P., & Więckowska, B. (2023). Data distribution analysis – a preliminary approach to quantitative data in biomedical research. Journal of Medical Science, 92(2), 81–96. https://doi.org/10.20883/medical.e869
Hardiansyah, F., Armadi, A., Misbahudholam AR, M., & Wardi, M. (2024). Analysis of Field Dependent and Field Independent Cognitive Styles in Solving Science Problems in Elementary Schools. Jurnal Penelitian Pendidikan IPA, 10(3), 1159–1166. https://doi.org/10.29303/jppipa.v10i3.5661
Hernandez-Pavon, J. C., Veniero, D., Bergmann, T. O., Belardinelli, P., Bortoletto, M., Casarotto, S., Casula, E. P., Farzan, F., Fecchio, M., Julkunen, P., Kallioniemi, E., Lioumis, P., Metsomaa, J., Miniussi, C., Mutanen, T. P., Rocchi, L., Rogasch, N. C., Shafi, M. M., Siebner, H. R., … Ilmoniemi, R. J. (2023). TMS combined with EEG: Recommendations and open issues for data collection and analysis. Brain Stimulation, 16(2), 567–593. https://doi.org/10.1016/j.brs.2023.02.009
Hidayatullah, A., & Csíkos, C. (2024). The Role of Students’ Beliefs, Parents’ Educational Level, and The Mediating Role of Attitude and Motivation in Students’ Mathematics Achievement. Asia-Pacific Education Researcher, 33(2), 253–262. https://doi.org/10.1007/s40299-023-00724-2
Isman, A., Inanc, A. S., & Cotok, N. A. (2023). an Analysis of Personal Factors Affecting Learning Motivation: a Research on the Online Education Process During Covid-19 Period in Turkiye. Turkish Online Journal of Distance Education, 24(1), 88–108. https://doi.org/10.17718/tojde.1098268
King, R. B., Cai, Y., & Elliot, A. J. (2024). Income inequality is associated with heightened test anxiety and lower academic achievement: A cross-national study in 51 countries. Learning and Instruction, 89(January), 1–10. https://doi.org/10.1016/j.learninstruc.2023.101825
Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing, 39(2), 1–9. https://doi.org/10.1016/j.soncn.2023.151398
Krido Bangun Nugroho, D. K., Raharjo, T. J., & Utomo, U. (2020). The Relationship between Parents’ Learning Motivation and Socio-Economic Status with Science Learning Achievement. Journal of Primary Education, 9(5), 518–526. https://doi.org/10.15294/jpe.v9i5.43239
Langenberg, B., Janczyk, M., Koob, V., Kliegl, R., & Mayer, A. (2023). A tutorial on using the paired t test for power calculations in repeated measures ANOVA with interactions. Behavior Research Methods, 55(5), 2467–2484. https://doi.org/10.3758/s13428-022-01902-8
Li, S., Tang, Y., & Zheng, Y. (2023). How the home learning environment contributes to children’s social–emotional competence: A moderated mediation model. Frontiers in Psychology, 14(February), 1–19. https://doi.org/10.3389/fpsyg.2023.1065978
Liubchenko, V. V., Komleva, N. O., Zinovatna, S. L., & Briggs, J. (2023). Methodology for illness detection by data analysis techniques. Applied Aspects of Information Technology, 6(3), 273–285. https://doi.org/10.15276/aait.06.2023.19
Minervini, G., Franco, R., Marrapodi, M. M., Di Blasio, M., Ronsivalle, V., & Cicciù, M. (2023). Children oral health and parents education status: a cross sectional study. BMC Oral Health, 23(1), 1–7. https://doi.org/10.1186/s12903-023-03424-x
Moghadasi, J., & Keikavoosi-Arani, L. (2023). Investigating the factors influencing students’ academic enthusiasm for a shift of paradigm among education managers shaping academic pedagogy. BMC Medical Education, 23(1), 1–13. https://doi.org/10.1186/s12909-023-04453-4
Muktamar B, A., Kardini, N. L., Elshifa, A., Adiawaty, S., & Cicik Wijayanti, T. (2023). The Role of Quality Human Resources in Developing Missions of Future Universities in Indonesian Higher Education. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 4(1), 49–59. https://doi.org/10.31538/munaddhomah.v4i1.342
Munir, J., Faiza, M., Jamal, B., Daud, S., & Iqbal, K. (2023). The Impact of Socio-economic Status on Academic Achievement. Journal of Social Sciences Review, 3(2), 695–705. https://doi.org/10.54183/jssr.v3i2.308
Nunes, C., Oliveira, T., Castelli, M., & Cruz-Jesus, F. (2023). Determinants of academic achievement: How parents and teachers influence high school students’ performance. Heliyon, 9(2), e13335. https://doi.org/10.1016/j.heliyon.2023.e13335
Prasetya, F., Fortuna, A., Samala, A. D., Rawas, S., Mystakidis, S., Syahril, Waskito, Primawati, Wulansari, R. E., & Kassymova, G. K. (2024). The impact of augmented reality learning experiences based on the motivational design model: A meta-analysis. Social Sciences and Humanities Open, 10(February), 100926. https://doi.org/10.1016/j.ssaho.2024.100926
Salendab, F. (2023). Proposed Instructional Scheme in the New Normal Education: Basis for Pedagogical Strategies/Practices. Psychology and Education: A Multidisciplinary Journal, 6(8), 712–719. https://doi.org/10.5281/zenodo.7502764
Schulz, M. (2023). E-Learning as a Development Tool. Sustainability, 15(20), 15012. https://doi.org/10.3390/su152015012
Vadivel, B., Alam, S., Nikpoo, I., & Ajanil, B. (2023). The Impact of Low Socioeconomic Background on a Child’s Educational Achievements. Education Research International, 2023(January), 1–11. https://doi.org/10.1155/2023/6565088
Waskito, W., Wulansari, R. E., Rifelino, R., Fortuna, A., Nyamapfene, A., & Jalil, S. A. (2024). Constructivist Feedback-Based Assessment Method as Key for Effective Teaching and Learning: The Development and Impact on Mechanical Engineering Students’ Adaptive Capacity, Decision Making, Problem Solving and Creativity Skills. International Journal of Cognitive Research in Science, Engineering and Education, 12(1), 57–76. https://doi.org/10.23947/2334-8496-2024-12-1-57-76
Submitted
Copyright (c) 2024 Jurnal Vokasi Mekanika
This work is licensed under a Creative Commons Attribution 4.0 International License.
.svg_.png)
