Generative AI for Academic and Administrative Productivity
A one-day programme for the people who run a campus: lecturers preparing teaching materials, researchers managing literature and data, and the administrative staff behind admissions, timetabling, quality assurance and reporting. Generative AI arrived in higher education faster than policy did, and most institutions now have a workforce using it informally, unevenly, and without guidance on where the line sits.
The programme treats AI as a drafting and thinking tool rather than an answer machine. The morning covers the practical craft: what these systems do well, where they fabricate, and how to prompt for academic and administrative work specifically. The afternoon covers the part institutions actually worry about: academic integrity, student data under the PDPA, disclosure, and the policy decisions an institution has to make rather than leave staff guessing. Examples are drawn from Malaysian public and private higher education, including MQA documentation, programme review, and the reporting cycles that consume administrative time.
HRD Corp SBL-Khas Claimable
Programme Agenda
9:00 AM - 9:15 AM
Welcome and Programme Overview
Introduction to the session, objectives, and housekeeping.
9:15 AM - 10:15 AM
What Generative AI Actually Does
How large language models produce text, and why fluency is not accuracy. Hallucination and fabricated citations, which are a nuisance in most industries and a career risk in academia. What changed with reasoning models and retrieval, what these tools are still genuinely bad at, and how to calibrate trust. Participants test a tool against a topic they know well and grade the output themselves.
10:15 AM - 10:30 AM
Break
10:30 AM - 11:30 AM
Prompting for Academic Work
The structure of a working prompt: role, context, source material, constraints and output format. Iterating rather than accepting the first response. Working from your own material, such as a syllabus, a marking rubric or a paper, rather than relying on the model's general memory. Comparison of the main tools and where each is stronger, and when to use a document upload instead of a longer prompt.
11:30 AM - 12:30 PM
Teaching and Course Materials
Lecture outlines, slide skeletons, tutorial questions written at graded difficulty, case studies, marking rubrics, question banks and feedback comment banks. Drafting course learning outcome and programme learning outcome mapping for MQA documentation. Producing alternative explanations for students who did not follow the first one. Where the lecturer's academic judgment stays non-negotiable, and what should never be delegated to a draft.
12:30 PM - 1:30 PM
Lunch
1:30 PM - 2:15 PM
Research and Literature Support
Literature triage and summarising at volume, extracting method and finding across a set of papers, drafting and tightening prose, translation between English and Bahasa Malaysia, and drafting responses to reviewers. The citation verification discipline: every reference checked against the source, every time. Journal, publisher and funder policies on AI-assisted writing, and what has to be disclosed in a submission.
2:15 PM - 3:15 PM
Administrative and Quality Assurance Workflows
Meeting minutes, memos, circulars and standard operating procedures. Admissions and student correspondence. Self-assessment reports and programme review documentation. Analysing open-text survey responses from student feedback. Spreadsheet formulas and the recurring reporting packs that consume administrative weeks. Building reusable prompt templates so a department stops solving the same task from scratch.
3:15 PM - 3:30 PM
Break
3:30 PM - 4:15 PM
Academic Integrity, Student Data and Institutional Policy
Student use of AI, and why detection tools are unreliable enough that assessment redesign is the only durable answer. Disclosure norms for staff. Student and staff personal data under the PDPA, and what must never be pasted into a consumer tool, including scripts, transcripts, medical and disciplinary records. Institutional accounts and procurement versus personal logins. The specific decisions an institution has to make and publish rather than leaving to individual judgment.
4:15 PM - 4:45 PM
Departmental Prompt Library Workshop
Participants build and test a set of prompts for the recurring tasks in their own faculty or unit, and agree a disclosure line they could defend to a student, an auditor or an external examiner.
4:45 PM - 5:00 PM
Wrap-Up and Q&A
Key takeaways, next steps, and close.
Key Outcomes
- Explain what generative AI does well, where it fabricates, and why fluency is not accuracy
- Write and iterate prompts that work from your own course, research and institutional material
- Draft teaching materials, rubrics, question banks and feedback faster while keeping academic judgment
- Use AI for literature triage, drafting and translation with a citation verification discipline
- Handle student and staff personal data under the PDPA when using AI tools
- Take a defensible institutional position on student use, disclosure and assessment design
Training Mode Physical / Online / Hybrid / e-learning
HRD Corp SBL-Khas Claimable
Level Beginner to intermediate, suitable for academic and administrative staff at universities, colleges, polytechnics and matriculation centres. No technical background required.
Duration 1 Day (8 Hours) | 9:00 AM to 5:00 PM
Venue In-house at the client's premises, or delivered via the client's preferred platform (Microsoft Teams, Zoom, or equivalent)
Assessment A departmental prompt library plus a 10 to 15 question knowledge assessment
Certificate Certificate of Completion issued to all participants upon full attendance