HomeJournal of Interdisciplinary Perspectivesvol. 4 no. 1 (2026)

Leveraging Artificial Intelligence (AI) for Administrative Assistance Workloads: An Appreciative Inquiry

Marycris A. Jimenez

Discipline: combined, general or negotiated studies

 

Abstract:

Artificial intelligence (AI) technologies have the potential to completely transform traditional patterns of action and transform how processes are carried out by leveraging them into administrative procedures. Despite these possibilities, the practical integration of AI into administrative procedures remains underexplored, particularly in specific organizational contexts. Using a qualitative approach, the study collected participant responses and conducted thematic analysis through the Appreciative Inquiry 4D framework. This approach enabled a structured examination of how AI is being used and its impact on administrative workflows. The study identifies three distinct categories of AI applications: administrative support, financial management, and document and data handling. Participants reported that administrative assistants are actively utilizing generative AI tools, including text generation and automated content creation, to enhance efficiency, streamline workflows, and boost productivity. Furthermore, to achieve the envisioned future, skills development and training plans, including training, resource allocation, and tool integration, are necessary. Hence, to ensure that the positive changes become embedded in the organization's culture and practices, the skills development training plan will be sustained through continuous training, feedback mechanisms, and collaborative work dynamics. In conclusion, leveraging AI for administrative workloads can lead to significant improvements in efficiency and productivity. However, success depends on structured training, cultural integration, and fostering collaboration.



References:

  1. Cai, N. (2021). A review of Artificial Intelligence (AI) in education from 2010 – 2020. WILEY. https://www.hindawi.com/journals/complexity
  2. Cardona, M., Rodríguez, R., & Ishmael, K.  (2023). Artificial Intelligence and the future of teaching and learning. U.S. Department of Education. https://www2.ed.gov/documents/aireport 
  3. Cram, F. (2010). Appreciative inquiry. ResearchGate. https://tinyurl.com/5e4p8zd8
  4. Dai, R., Thomas, M.K.E., & Rawolle, S. (2024). The roles of AI and educational leaders in AI-assisted administrative decision-making: A proposed framework for symbiotic collaboration. The Australian Educational Researcher, 52(2), 1471–1487. https://doi.org/10.1007/s13384-024-00771-8
  5. Department of Education. (2022). DepEd Order No. 024, s. 2022: Adoption of the basic education development plan 2030. [Memorandum]. DepEd Central Office. https://tinyurl.com/3s9ucncu
  6. Francisco, L. (2023). The impact of AI on school administration and management. Teachflow. https://tinyurl.com/pn9y92h4
  7. Gadapa, M. (2024). The role of generative AI in enhancing administrative efficiency: Innovations in workforce support systems. Journal of Artificial Intelligence Research & Advances, 12(1), 47–68. https://tinyurl.com/5y2nnuh2
  8. Jackson, S., & Panteli, N. (2024). AI-based digital assistants in the workplace: An idiomatic analysis. Communications of the Association for Information Systems, 55, 627–653. https://doi.org/10.17705/1CAIS.05524
  9. Ahmad, S.F., Alam, M.M., Rahmat, M.K., Mubarik, M.S., & Hyder, S.I. (2022). Academic and administrative role of Artificial Intelligence in education. ResearchGate. https://tinyurl.com/45kjrr5b
  10. Office Dynamics International. (2023). AI and administrative work: Enhancing productivity. https://tinyurl.com/23c494ub 
  11. Parycek, P., Schmid, V., & Novak, A.-S. (2024). Artificial Intelligence (AI) and automation in administrative procedures: Potentials, limitations, and framework conditions. Journal of the Knowledge Economy, 15, 8390–8415. https://doi.org/10.1007/s13132-023-01433-3
  12. Shulman, L. (1986). Pedagogical content knowledge: Teachers’ integration of subject matter, pedagogy, students, and learning environments. NARST. https://tinyurl.com/a887tape
  13. Venkatesh, V., Thong, J., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428 
  14. Yusuf, S., Abubakar, J., Durodola, R., Ocran, G., Paul-Adeleye, A., & Yusuf, P. (2024). Impact of AI on continuous learning and skill development in the workplace: A comparative study with traditional methods. World Journal of Advanced Research and Reviews. Volume 23(02), 1129–1140. DOI: 10.30574/wjarr.2024.23.2.2439
  15. Zhang, K., & Aslan, A.B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2021.100025