Universitas Halu Oleo: AI-Based Accreditation Document Workshop

Event context

The Quality Assurance and Learning Development Institute of Universitas Halu Oleo (LPMPP UHO) hosted Workshop Penyusunan Dokumen Akreditasi Program Studi Berbasis Artificial Intelligence (AI) Batch II as a two-day intensive session, 28 to 29 August 2026, in Kendari.

Accreditation documents are demanding precisely because of what they are: high volume, strict formatting, data scattered across units, and deadlines that rarely move. The participants were lecturers carrying that work alongside their teaching load, so the material had to address the real workload rather than stop at a general introduction to AI.

The reasoning framework

The first session deliberately did not start with tools. Participants were first walked through the framework used across the whole workshop: five elements and five questions, namely input, process, output, context, and validation.

That order builds the habit of asking before requesting output from AI. What documents or data go in? What needs to happen to that input? What kind of result is expected? What context makes the result relevant to a particular study program? And most importantly, how do you check that the result is correct. With this framework, participants build reusable reasoning rather than copying prompts.

The hands-on approach

Once the framework was in place, the session moved into direct practice. Participants worked on documents and data from their own study programs, with one-on-one support whenever they hit a wall at their laptops.

That support mattered because the obstacles are usually specific: inconsistent data structures, different study-program contexts, or AI output that needs correcting to match the assessment standard. Resolving them on the spot showed participants exactly where the process can be accelerated and where human judgment still has to stay in the loop.

Takeaway

What participants took home was not just a document draft, but the ability to prepare accreditation documents independently and efficiently with AI support. That independence is the point: participants are not tied to one prompt or one particular tool.

For education institutions facing the same need, a two-day format like this fits when participants have to work on real documents rather than follow a demonstration. Discuss your event needs through the contact page.