Prof Bernard Aduda — DVC Academic and Research
Topic: “From Shadow AI to Institutional Integration: Evaluating the Gap Between Organic Adoption and Formal Governance in Higher Education”
Dr Moses M Thiga — Director ICT & Summit Convener
Prof Isaac O. Kibwage — Vice Chancellor
Topic: “Governing GenAI for Competency-Based Higher Education”
Keynote Speaker TBD
Topic: “GenAI-Augmented Learning and Competency Acquisition”
Prof Edward Ombui — Assistant Professor of AI, USIU-A
Format: 5 Student presentations (10 mins each) followed by interactive Q&A.
Focus: Impact of GenAI adoption on student study habits, adaptive skill mastery, critical inquiry, self-directed learning, cognitive retention, and authentic problem-solving abilities within CBE frameworks.
Topic: “Instruction and Assessment in a GenAI-Augmented Classroom”
Prof Fredrick Ngala — DVC Academic and Student Affairs, Garissa University
Format: 5 Case Study Presentations from faculty members (10 mins each) followed by Q&A.
Focus: Faculty workload efficiency, course and rubric redesign speed, authentic task-based assessment validity, continuous skill verification, and human-in-the-loop instructional delivery.
Topic: “Productivity, Integrity, and Ethics in GenAI-Augmented Research”
Keynote Speaker TBD
Format: 5 Researcher Presentations (10 mins each) followed by Q&A.
Focus: Impact of GenAI on scientific discovery speed, grant proposal success rates, publication output quality, cross-disciplinary collaboration efficiency, and research data management integrity.
Topic: “Administrative Excellence and Efficiency in GenAI-Augmented Higher Education”
Keynote Speaker TBD
Format: 5 Administrative / Leadership Presentations (10 mins each) followed by Q&A.
Focus: Operational impact on turnaround times, student support response rates, cost savings, staff productivity, and data-driven decision-making processes.
Track 1
AI Policy Drafting Workshop
1400HRS – 1430HRS: Workshop Briefing & Drafting Methodology across 4 dedicated groups.
1430HRS – 1630HRS | Parallel Breakout Drafting Groups:
- Group 1: GenAI in Learning Policy (Acceptable usage, adaptive tools, self-paced mastery).
- Group 2: GenAI in Teaching Policy (Faculty usage, AI disclosure, rubric alignment).
- Group 3: GenAI in Research Policy (Research governance, authorship, data handling).
- Group 4: GenAI in Admin Policy (Process automation, student data privacy, security).
1630HRS – 1700HRS: Group Rapporteur Synthesis & Adjournment
Track 2
AI Innovations Showcase
Exhibition hall featuring live demonstrations from industry partners and EdTech innovators.
Format: Each of the 4 Drafting Groups presents draft policy sections (15 mins presentation + 15 mins critique & refinement per group).
Key Outcome: Finalization of a comprehensive, ready-to-adopt institutional Generative AI Policy document.
Formal presentation and reading of the completed Draft Institutional AI Policy.
Topic: “The Institutional Imperative for Governing GenAI in Competency-Based Higher Education”
Prof Isaac Kibwage — Vice Chancellor, Egerton University
- 82 views