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DIVE Seminar – Change Management and AI Adoption in igher Education

13-16 April 2026

Ho Chi Minh, Vietnam

LOCATION

Ho Chi Minh City Open University

97 Vo Van Tan Street, Ward 6, District 3, Ho Chi Minh City

OBJECTIVES

• To understand the dynamics of organizational change in higher education institutions undergoing digital transformation
• To analyze institutional barriers and enablers of digital and AI adoption in a politically sensitive context
• To develop structured and realistic transformation strategies combining change management and AI integration
• To design a practical institutional dashboard to monitor the progress of digital transformation
• To enable participants to move from awareness of AI tools to actionable institutional adoption plans

EXPECTED LEARNING OUTCOMES

By the end of the seminar, participants will be able to:

• Apply recognized change management frameworks to digital transformation in universities
• Diagnose institutional readiness and resistance factors
• Identify and engage key stakeholders in a hierarchical governance context
• Design a structured transformation plan aligned with institutional constraints
• Use AI tools (Gemini, NotebookLM) to support academic and managerial tasks
• Develop a 90-day AI adoption plan adapted to their institution
• Build a set of key performance indicators to monitor change and adoption

METODOLOGY

The seminar is structured over 4 days and combines:

• Conceptual inputs grounded in research
• Demonstrations of AI tools in real use cases
• Group-based institutional workshops
• Progressive construction of a transformation dashboard

Participants will work in small groups to develop outputs directly applicable to their institutions.

FINAL DELIVERABLES

By the end of the seminar, each group produces:

• A structured institutional diagnosis
• A stakeholder mapping

• A transformation roadmap
• A set of AI use cases
• A 90-day AI adoption plan
• A Change Dashboard with key indicators

ACADEMIC TEAM

Dr. Johan Parisse 

Professor of Human Resource Management at the Solvay Brussels School Faculty of the ULB and independent consultant specializing in change management and project management. He supports public and private organizations in leading complex transformations, with a particular focus on digitalization and organizational adaptation. He brings extensive experience in executive training, notably in institutional and international contexts.

Diederick Legrain

AI consultant and professor specializing in the integration of artificial intelligence into organizations and education. He supports public and private institutions in navigating complex transformations, with a strong focus on practical adoption, workflow automation, and human–AI collaboration. He also delivers executive trainings and conferences, helping leaders anticipate and adapt to the strategic impact of AI.

PROGRAMME

DAY 1 – Monday, April 13

Morning – Understanding Change in Digital Transformation (J. Parisse)

09:00–10:30     Introduction to the seminar and strategic challenges of digital transformation in higher education

• Global and regional trends
• Specificities of the Vietnamese institutional context
• Tensions between policy-driven change and operational realities 10:30–10:45 Coffee break

10:45–12:15     Foundations of Change Management

• Lewin model: Unfreeze – Change – Refreeze
• Kotter’s 8-step model
• Institutional vs cultural change
• Case introduction: Saigon Tech University

12:15–13:45      Lunch

Afternoon – AI Adoption: Frameworks and Institutional Diagnosis (D. Legrain)

13:45–15:00     Conceptual input: Rogers’ Diffusion of Innovations applied to GenAI — perceived complexity as the dominant barrier (Springer, 2025)

• Five profiles of non-adopters: from “not ready” to identity tension (Springer, 2025)

• AI capabilities demonstration and individual maturity self-assessment: 5-dimension institutional framework (Frontiers, 2025)

15:00–15:15     Coffee break

15:15–16:00      Group workshop: institutional AI diagnostic and collective mapping

DAY 2 – Tuesday, April 14

Morning – Diagnosing Change and Stakeholder Dynamics (J. Parisse)

09:00–10:30     Organizational Diagnosis in Digital Transformation

• PESTEL adapted to higher education
• Institutional constraints (governance, infrastructure, policy)
• Identification of structural vs behavioral barriers 10:30–10:45 Coffee break

10:45–12:15     Stakeholder Analysis and Resistance to Change

• Stakeholder mapping (power/interest matrix)
• Professional resistance in academia
• Cultural dimensions of change
• Change curve and resistance mechanisms

 12:15–13:45      Lunch 

13:45–15:00     Conceptual input: three types of AI anxiety — learning, sociotechnical, displacement — and tailored responses (Scientific Reports, 2026)

• NotebookLM demonstration: knowledge management and document synthesis
• Gemini Deep Research: from query to structured briefing 15:00–15:15 Coffee break

15:15–16:00     Group workshop: execution of a real task using AI tools

• preparation of a briefing or synthesis of institutional documents
• decision support note for a faculty committee
• debrief: which anxiety type did you encounter?

DAY 3 – Wednesday, April 15

Morning – Designing and Leading Transformation (J. Parisse)

09:00–10:30     From Diagnosis to Action

• Structuring a transformation roadmap
• Governance of change
• Role of leadership and middle management
• Managing politically sensitive change 10:30–10:45 Coffee break

10:45–12:15     Transformation Strategy Workshop

• Definition of priorities

• Identification of quick wins
• Risk analysis
• Alignment with institutional constraints

12:15–13:45      Lunch

Afternoon – From Users to Creators: Vibe Coding and Digital Agency (D. Legrain)

13:45–15:00     Conceptual input: three-layer model for Vietnamese HE digital transformation — from Activation to Institutionalisation (SAGE, 2026)

• Live demonstration of “vibe coding”: building institutional tools without programming on Google AI Studio

15:00–15:15     Coffee break 

15:15–16:00     Group workshop: creation of an AI-based tool

• AI literacy quiz or readiness diagnostic for your department
• decision support tool for a real institutional challenge
• onboarding or FAQ tool for faculty and staff

DAY 4 – Thursday, April 16

Morning – Monitoring Change and Building a Dashboard (J. Parisse)

09:00–10:30     Measuring Change and Performance

• Principles of effective indicators
• Leading vs lagging indicators
• Common pitfalls in public sector measurement 10:30–10:45 Coffee break

10:45–12:15     Workshop: Building an Institutional Change Dashboard

• Definition of key indicators
• Data sources and governance
• Assignment of responsibilities
• Preparation of final outputs

12:15–13:45      Lunch

Afternoon – AI Adoption Plan (90 Days): From Evidence to Action (D. Legrain)

13:45–15:00     Conceptual input: main barriers in Vietnamese HE — habits, data reliability, organisational resistance (Taylor & Francis, 2026)

• Three-phase adoption plan: Activate (D1–30), Implement (D31–60), Institutionalise (D61–90)
• Identification of priority use cases, champions, and KPIs aligned with the Change Dashboard

15:00–15:15     Coffee break

15:15–16:00     Final presentations and wrap-up. Next steps of the programme and forthcoming objectives within the DIVE project, presented by Jean-Baptiste Maillard.