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Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector

Alexandre Wagner Barbosa Neves Filho

Subject area: Arts, Social Sciences and Humanities  ·  Area of research: Humanities

Abstract

The development of effective billing models for educational services requires a nuanced understanding of the unique financial, regulatory, and behavioral dynamics of the education sector. Unlike traditional consumer billing, tuition-related receivables are influenced by academic calendars, aid disbursements, institutional policies, and student equity concerns. This article investigates how billing models can be adapted to educational contexts by integrating risk segmentation, flexible payment structures, behavioral economics principles, and strong governance frameworks. It argues that effective models not only improve financial recovery and reduce delinquency but also enhance student retention and institutional trust. By aligning billing systems with both regulatory compliance and student experience, educational providers can balance financial sustainability with their educational mission. The study draws on literature from credit scoring, behavioral economics, financial governance, and higher education finance to propose a holistic framework for billing model design in this sector.

Keywords

Educational services; billing models; collections management; tuition payment; financial risk; behavioral economics; student retention; data governance; payment flexibility; compliance.

References

[1] Castleman, B. L., & Page, L. C. (2014). Summer Melt: Supporting Low-Income Students Through the Transition to College. Harvard Education Press.

[2] Consumer Financial Protection Bureau (CFPB). (2017). Student Loan Servicing: Analysis of Public Input and Recommendations for Reform. Consumer Financial Protection Bureau.

[3] Lei No. 13.709, de 14 de agosto de 2018. Lei Geral de Proteção de Dados Pessoais (LGPD). Presidência da República, Brasil.

[4] NACUBO. (2024). 2024 NACUBO Tuition Discounting Study. National Association of College and University Business Officers.

[5] OECD. (2024). Education at a Glance 2024: OECD Indicators. OECD Publishing.

[6] PCI Security Standards Council (PCI SSC). (2022). Payment Card Industry Data Security Standard: Requirements and Testing Procedures, Version 4.0.

[7] Thomas, L. C., Crook, J. N., & Edelman, D. B. (2017). Credit Scoring and Its Applications (2nd ed.). SIAM.

[8] Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press.

[9] U.S. Department of Education. (1974/2024). Family Educational Rights and Privacy Act (FERPA), 20 U.S.C. § 1232g; 34 C.F.R. Part 99.

[10] World Wide Web Consortium (W3C). (2023). Web Content Accessibility Guidelines (WCAG) 2.2.

[11] Freitas, G. B., Rabelo, E. M., & Pessoa, E. G. (2023). Projeto modular com reaproveitamento de container maritimo. Brazilian Journal of Development, 9(10), 28303–28339. https://doi.org/10.34117/bjdv9n10-057

[12] Gotardi Pessoa, E. (2025). Analysis of the performance of helical piles under various load and geometry conditions. ITEGAM-JETIA, 11(53), 135-140. https://doi.org/10.5935/jetia.v11i53.1887

[13] Gotardi Pessoa, E. (2025). Sustainable solutions for urban infrastructure: The environmental and economic benefits of using recycled construction and demolition waste in permeable pavements. ITEGAM-JETIA, 11(53), 131-134. https://doi.org/10.5935/jetia.v11i53.1886

How to cite this paper

Alexandre Wagner Barbosa Neves Filho "Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector" Iconic Research And Engineering Journals Volume 5 Issue 7 2022 Page 570-573
Alexandre Wagner Barbosa Neves Filho "Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector" Iconic Research And Engineering Journals, vol. 5, no. 7, Jan. 2022
Alexandre Wagner Barbosa Neves Filho (2022). Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector. Iconic Research And Engineering Journals, 5(7).
Alexandre Wagner Barbosa Neves Filho "Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector" Iconic Research And Engineering Journals, vol. 5, no. 7, Jan. 2022.
@article{1710238,
      author = {Alexandre Wagner Barbosa Neves Filho},
      title = {Developing Effective Billing Models for Educational Services: Adapting Collections to the Specificities of the Education Sector},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {5},
      number = {7},
      pages = {570-573},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710238.pdf},
      abstract = {The development of effective billing models for educational services requires a nuanced understanding of the unique financial, regulatory, and behavioral dynamics of the education sector. Unlike traditional consumer billing, tuition-related receivables are influenced by academic calendars, aid disbursements, institutional policies, and student equity concerns. This article investigates how billing models can be adapted to educational contexts by integrating risk segmentation, flexible payment structures, behavioral economics principles, and strong governance frameworks. It argues that effective models not only improve financial recovery and reduce delinquency but also enhance student retention and institutional trust. By aligning billing systems with both regulatory compliance and student experience, educational providers can balance financial sustainability with their educational mission. The study draws on literature from credit scoring, behavioral economics, financial governance, and higher education finance to propose a holistic framework for billing model design in this sector.},
      keywords = {Educational services; billing models; collections management; tuition payment; financial risk; behavioral economics; student retention; data governance; payment flexibility; compliance.},
      month = {January},
  }