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1724790 Vol 10 · Issue 5 Download Paper

EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions

Rutvik Burra Saurabh Yadav Sumit Tambe Sakshi Shinde Chetana Bhagat Dr. Madhuri Kawarkhe

Subject area: Science,Engineering and Technology  ·  Area of research: Institutional Automation

DOI: 10.64388/ire1724790

Abstract

Approval paperwork in universities is slow for a simple reason: nobody agrees on where a document should go next. An examination schedule, a timetable change and a departmental notice all need sign-off, but from different officials, and the route is usually decided by whoever is holding the file. Fixed digital workflows add tracking but send every document down one path, which burdens simple documents and can bypass authorities on complex ones. This paper presents EduSphere AI, a framework that reads a document’s context (type, creator role, department, scope and impact), proposes an approval route, and checks that route against encoded institutional policy before any task is assigned. The system only recommends; authorised officials still make every decision. We formulate route selection as minimisation under policy constraints, describe the validation procedure and a policy-record schema, and design an evaluation against manual and fixed-route baselines that reports efficiency and compliance together. An analysis of five expected routes shows that a single fixed route would add unnecessary approvals in four document types and skip a required authority in one, while context-aware routes need one-third fewer approval steps (10 versus 15). A partial prototype covers role-based login and rule-based routing; the experiment is still pending.

Keywords

approval workflow; higher education; policy validation; context-aware routing; business process compliance; document management

References

[1] van der Aalst WMP, ter Hofstede AHM, Kiepuszewski B, Barros AP. Workflow patterns. Distrib Parallel Databases. 2003;14(1):5–51. https://doi.org/10.1023/A:1022883727209

[2] Dumas M, La Rosa M, Mendling J, Reijers HA. Fundamentals of business process management. 2nd ed. Berlin: Springer; 2018. https://doi.org/10.1007/978-3-662-56509-4

[3] Velásquez-Angamarca V, Arce Cuesta DC, Oyola-Flores C, García-Pesántez A, Pesántez-Avilés F, Cárdenas Tapia JA. A formal document approval workflow for business process in higher education institutions. In: Rocha A, et al., editors. Proceedings of the 19th Iberian Conference on Information Systems and Technologies (CISTI 2024), vol. 2. Cham: Springer; 2026. p. 74–83. https://doi.org/10.1007/978-3-032-12879-9_8

[4] Elgammal A, Turetken O, van den Heuvel WJ, Papazoglou M. Formalizing and applying compliance patterns for business process compliance. Softw Syst Model. 2016;15(1):119–146. https://doi.org/10.1007/s10270-014-0395-3

[5] Ly LT, Maggi FM, Montali M, Rinderle-Ma S, van der Aalst WMP. Compliance monitoring in business processes: Functionalities, application, and tool-support. Inf Syst. 2015;54:209–234. https://doi.org/10.1016/j.is.2015.02.007

[6] van der Aalst WMP. Process mining: Data science in action. 2nd ed. Berlin: Springer; 2016. https://doi.org/10.1007/978-3-662-49851-4

[7] Sandhu RS, Coyne EJ, Feinstein HL, Youman CE. Role-based access control models. Computer. 1996;29(2):38–47. https://doi.org/10.1109/2.485845

How to cite this paper

Rutvik Burra, Saurabh Yadav, Sumit Tambe, Sakshi Shinde, Chetana Bhagat; Dr. Madhuri Kawarkhe "EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions" Iconic Research And Engineering Journals Volume 10 Issue 5 2026 Page 959-970 https://doi.org/10.64388/ire1724790
Rutvik Burra, Saurabh Yadav, Sumit Tambe, Sakshi Shinde, Chetana Bhagat; Dr. Madhuri Kawarkhe "EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026, doi: https://doi.org/10.64388/ire1724790
Rutvik Burra, Saurabh Yadav, Sumit Tambe, Sakshi Shinde, Chetana Bhagat; Dr. Madhuri Kawarkhe (2026). EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions. Iconic Research And Engineering Journals, 10(5). doi: https://doi.org/10.64388/ire1724790
Rutvik Burra, Saurabh Yadav, Sumit Tambe, Sakshi Shinde, Chetana Bhagat; Dr. Madhuri Kawarkhe "EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026. Crossref, https://doi.org/10.64388/ire1724790
@article{1724790,
      author = {Rutvik Burra, Saurabh Yadav, Sumit Tambe, Sakshi Shinde, Chetana Bhagat; Dr. Madhuri Kawarkhe},
      title = {EduSphere AI: A Context-Aware and Policy-Constrained Approval Workflow Automation Framework for Higher Education Institutions},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {959-970},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724790.pdf},
      abstract = {Approval paperwork in universities is slow for a simple reason: nobody agrees on where a document should go next. An examination schedule, a timetable change and a departmental notice all need sign-off, but from different officials, and the route is usually decided by whoever is holding the file. Fixed digital workflows add tracking but send every document down one path, which burdens simple documents and can bypass authorities on complex ones. This paper presents EduSphere AI, a framework that reads a document’s context (type, creator role, department, scope and impact), proposes an approval route, and checks that route against encoded institutional policy before any task is assigned. The system only recommends; authorised officials still make every decision. We formulate route selection as minimisation under policy constraints, describe the validation procedure and a policy-record schema, and design an evaluation against manual and fixed-route baselines that reports efficiency and compliance together. An analysis of five expected routes shows that a single fixed route would add unnecessary approvals in four document types and skip a required authority in one, while context-aware routes need one-third fewer approval steps (10 versus 15). A partial prototype covers role-based login and rule-based routing; the experiment is still pending.},
      keywords = {approval workflow; higher education; policy validation; context-aware routing; business process compliance; document management},
      month = {November},
      doi = {https://doi.org/10.64388/ire1724790}
  }