Educational Policy Evaluation: How Educational Assistance Affects PISA through School Resources, Teacher Learning, and Student Well-Being

Abd Rohim Asnawi, Agus Timan, Sunarni Sunarni, Asep Sunandar, Raden Bambang Sumarsono

Abstract


Abstract: Educational Policy Evaluation: How Educational Assistance Affects PISA through School Resources, Teacher Learning, and Student Well-Being. Objectives: This research aims to determine the effect of educational assistance policies provided by the government on school resources, teacher learning, and Student Well-Being conditions on PISA achievements. The simultaneous influence of school resources, Student Well-Being, and teacher learning on PISA. As well as the influence of educational assistance policies on PISA itself and through moderating school resource variables, Student Well-Being, and teacher learning. Methods: This type of research uses an explanatory type with a quantitative approach. Regency/city locations include Ponorogo, Tuban, Tulungagung, Banyuwangi, Surabaya City, and Malang City. This research took a population of high school and vocational school students in East Java Province with a sample size of 560 students with sampling using stratified random sampling, area proportional random sampling, and quota random sampling techniques. The data analysis used is SEM (Structural Equation Modeling). Findings: Education aid policies have a direct influence on school resources, teacher learning, student well-being, and PISA performance. Student well-being and teacher learning have a direct effect on PISA performance but school resources do not have a direct effect on PISA performance. The results of the indirect effect calculation show that the education aid policy has no effect on PISA through school resources and student well-being, but has an indirect effect through student well-being. The results of simultaneous direct and indirect calculations of educational assistance policies, school resources, teacher learning, and student well-being have an influence on PISA achievement. Conclusion: The educational assistance policies provided affect school resources, teacher learning performance and student well-being. School resources do not influence PISA performance, and school and learning resources do not directly influence PISA performance.

 

Keywords: education assistance; school resources; teacher learning; student well-being; PISA.



DOI: http://dx.doi.org/10.23960/jpp.v14.i2.202479

Full Text:

PDF

References


Ananda, R., & Banurea, O. K. (2017). Manajemen sarana dan prasarana pendidikan.

Arwildayanto, Lamatenggo, N., & Sumar, W. T. (2017). Manajemen keuangan dan pembiayaan pendidikan. Widya Padjadjaran.

Barnes, M. (2021). Policy actors or objects of policy? Teacher candidates' interpretations of ‘teacher quality’policy initiatives in Australia. Teaching and Teacher Education, 106, 103440.

Borgonovi, F., & Pál, J. (2016). A framework for the analysis of student well-being in the PISA 2015 study: Being 15 in 2015.

Clark, C., & Rumbold, K. (2006). Reading for Pleasure: A research overview. national literacy trust.

Cresswell, J. (2016). System-level assessment and educational policy.

Cubukcu, F. (2008). How to enhance reading comprehension through metacognitive strategies. Journal of International Social Research, 1(2).

David, T. (1995). Researching education policy: Ethical and methodological issues.

Elliott, W., Chowa, G., Ellis, J., Chen, Z., & O'Brien, M. (2019). Combining children's savings account programs with scholarship programs: Effects on math and reading scores. Children and Youth Services Review, 102, 7-17.

Ferdinand, A. 2014. Structural Equation modeling dalam penelitian manajemen. Semarang: Badan Penerbit Universitas Diponegoro.

Ghozali, I. (2016). Aplikasi analisis multivariete dengan program IBM SPSS 23.

Govorova, E., Benítez, I., & Muñiz, J. (2020). How schools affect student well-being: A cross-cultural approach in 35 OECD countries. Frontiers in psychology, 11, 431.

Govorova, E., Benítez, I., & Muñiz, J. (2020). Predicting student well-being: Network analysis based on PISA 2018. International Journal of Environmental Research and Public Health, 17(11), 4014.

Hadi, S. 2000. Statistik. Yogyakarta: Andi Offset.

Haryono, S. 2016. Metode SEM untuk penelitian manajemen dengan AMOS LISREL PLS. Jakarta: Intermedia Personalia Utama.

Herlinawati, H., Heriyati, E., Sudiyono, S., & Susanto, A. B. (2018). Kajian Program Indonesia Pintar (PIP): strategi penjangkauan Anak Tidak Sekolah (ATS) untuk mengikuti pendidikan melalui Program Indonesia Pintar (PIP).

Ikhfan, H. 2016. Manajemen fasilitas pembelajaran. Gorontalo: UNG Press.

Indonesia, Republik. 2003. Undang-Undang Nomor Nomor 20 Tahun 2003 Tentang Sistem Pendidikan Nasional. Indonesia.

Jakubowski, M., & Gajderowicz, T. (2020). Student well-being factors: A multilevel analysis of PISA 2015 international data.

Jenkins, Andrew, and Akiko Ueno. "Classroom disciplinary climate in secondary schools in England: What is the real picture?." British Educational Research Journal 43.1 (2017): 124-150.

Junaidi, J. (2021). Aplikasi amos dan structural equation modeling (SEM).

Kalkan, Ö. K., Altun, A., & Atar, B. (2020). Role of teacher-related factors and educational resources in science literacy: An international perspective. Studies in Educational Evaluation, 67, 100935.

Kemendikbud. 2023. “data pokok pendidikan.” Kementerian pendidikan, kebudayaan, riset dan teknologi. Retrieved (https://dapo.kemdikbud.go.id/pd/1/120000).

Kemendikbud, Balitbang. 2019. Pendidikan Di Indonesia: Belajar Dari Hasil PISA 2018. Jakarta.

Kim, S. J., Lee, J., Song, J. H., & Lee, Y. (2021). The reciprocal relationship between academic resilience and emotional engagement of students and the effects of participating in the Educational Welfare Priority Support Project in Korea: Autoregressive cross-lagged modeling. International Journal of Educational Research, 109, 101802.

Knoepfel, P., C. Larrue, F. Varone, and M. Hill. 2007. Public policy analysis. Bristol: The Policy Press.

Lailatussaadah. 2015. “upaya peningkatan kinerja guru.” Intelektualita 3(1):15–25.

Lergetporer, P., Werner, K., & Woessmann, L. (2020). Educational inequality and public policy preferences: Evidence from representative survey experiments. Journal of Public Economics, 188, 104226.

Liebowitz, D. D. (2021). Teacher evaluation for accountability and growth: Should policy treat them as complements or substitutes?. Labour Economics, 71, 102024.

Madjid, Abd. 2018. Analisis kebijakan pendidikan. I. edited by A. Cahyanti. Bantul: Penerbit Samudra Biru.

Masrukhin. 2015. Statistik 1 aplikasi program excel, ministep (Winsteps) Rasch, SPSS, Amos, Warp-Pls. Pertama. Kudus: UD. Media Ilmu Press.

Delly, M., & Arif Nugroho, A. N. (2019). Kebijakan Publik: Cara Mudah Memahami Kebijakan Publik.

Muhammad, F., & Rosiana, D. (2019). Student well-being pada siswa MTs X Cimahi. Prosiding Psikologi ISSN, 2460, 6448.

Nur'Aini, F., Ulumuddin, I., Sulinar Sari, L., & Fujianita, S. (2021). Risalah kebijakan nomor 3, April 2021: meningkatkan kemampuan literasi dasar siswa Indonesia berdasarkan analisis data PISA 2018.

Nuraeni. 2019. “Manajemen sumber daya manusia pendidikan.” Jurnal Idaarah III(1):124–37. doi: DOI: 10.24252/idaarah.v3i1.9792.

Oebaidillah, S. 2019. “Peringkat PISA melorot dinilai akibat kebijakan pendidikan keliru.” Media Indonesia. Retrieved October 10, 2021 (https://mediaindonesia.com/humaniora/275731/peringkat-pisa-melorot-dinilai-akibat-kebijakan-pendidikan-keliru).

OECD. 2005. School factors related to quality and equity: results from PISA 2000. Paris: OECD Publishing.

OECD. 2016. “Cumulative expenditure by educational institutions per Student Aged 6 to 15 (2013).” OECD Publishing. doi: doi:http://dx.doi.org/10.1787/888933436513.

OECD. 2017. PISA 2015 Results (Volume III): Students’ Well-Being. Vol. III.

OECD. 2018. Effective teacher policies: insights from PISA.

Pan, H. L. W., Wiens, P. D., & Moyal, A. (2023). A bibliometric analysis of the teacher leadership scholarship. Teaching and Teacher Education, 121, 103936.

Permendikbud. 2020. Peraturan menteri pendidikan dan kebudayaan republik indonesia nomor 10 tahun 2020 tentang program Indonesia Pintar. Jakarta.

Pramana, I., Nyoman D., Ngakan P. S. W. P., Komang, W. P. BG., & Ketut, Y. N. 2003. Evaluasi Pendidikan. Singaraja: Beta.

Ramdani, Z., & Prakoso, B. H. (2019). Integritas akademik: Prediktor kesejahteraan siswa di sekolah. Indonesian Journal of Educational Assesment, 2(1).

Rusdiana, H. A. 2015. Kebijakan pendidikan dari filosofi ke implementasi. Bandung: CV.Pustaka Setia.

Santoso, S. (2018). Konsep dasar dan Aplikasi SEM dengan AMOS 24. Elex Media Komputindo.

Savitri, C., Faddila, S. P., Irmawartini, I., Iswari, H. R., Anam, C., Syah, S., ... & Siregar, M. T. (2021). Statistik multivariat dalam riset.

Silalahi, U. 2010. Metode penelitian sosial. Bandung: PT Refika Aditama.

Silalahi, U. 2009. Metode penelitian sosial. Jakarta: Refika Aditama.

Situmorang, C. (2016). Kebijakan publik (teori analisis, implementasi, dan evaluasi kerja).

Steele, F., Vignoles, A., & Jenkins, A. (2007). The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach. Journal of the Royal Statistical Society Series A: Statistics in Society, 170(3), 801-824.

Stufflebeam, D. L., George F. M., & Thomas, K. 2002. Evaluation models: viewpoints on educational and human services. Second Edi. New York: Kluwer Academic Publishers.

Sugiyono. 2012. Metode penelitian kuantitatif, kualitatif, dan R&D. Bandung: Penerbit Alfabeta.

Syahril. 2018. Manajemen sarana dan prasarana pendidikan penulis. Padang: SUKABINA Press.

Tan, J. P., & Sosale, S. (2003). Tools for education policy analysis (Vol. 1). World Bank Publications.

Tahira, R., Almas, K., & Muhammad A. D. 2016. “Impact of school resources on the academic achievement of students at secondary level in district layyah.” Section B Sci.Int.(Lahore) 28(6):175–79.

Trinidad, J. E. (2020). Material resources, school climate, and achievement variations in the Philippines: Insights from PISA 2018. International Journal of Educational Development, 75, 102174.

Villarreal, M. U. (2018). The effects of need & merit grant aid on graduation rates: a regression discontinuity analysis. policy brief. texas education research center.

Widarjono, A. 2020. Analisis multivariat terapan dengan program spss, amos, dan smartpls. Yogyakarta: UPP STIM YKPN.

Wijaya, C., Rahmat, H., & Tien. R. 2019. Manajemen sumberdaya pendidik dan tenaga kependidikan. Medan: Lembaga Peduli Pengembangan Pendidikan Indonesia (LPPPI).

Dunn, W. N. (2015). Public policy analysis. routledge.

Yang, M., & Lee, H. J. (2022). Do school resources reduce socioeconomic achievement gap? Evidence from PISA 2015. International Journal of Educational Development, 88, 102528.


Refbacks

  • There are currently no refbacks.




Copyright (c) 2024 Jurnal Pendidikan Progresif

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


View My Stats

Creative Commons License
The copyright is reserved to The Jurnal Pendidikan Progresif that is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.