Special Session 4
Data Governance and Knowledge Management
Higher Education Performance Analytics and Knowledge-Driven Decision Making
Information Retrieval (IR) and Knowledge Management (KM) are essential foundations
for intelligent information systems, enabling how data is discovered, structured,
and transformed into meaningful knowledge.
In higher education, the rapid growth of digital systems has elevated institutional data into a strategic asset for performance monitoring, policy development, and evidence-based decision-making.
In higher education, the rapid growth of digital systems has elevated institutional data into a strategic asset for performance monitoring, policy development, and evidence-based decision-making.
Rationale & Motivation
Universities increasingly depend on institutional data to support KPI reporting,
quality assurance, and strategic planning. However, data is often fragmented across
multiple systems, limiting its usability and reliability.
Effective information retrieval mechanisms and knowledge management practices are required to organise, integrate, and contextualise institutional data. The emergence of AI technologies such as large language models (LLMs) and retrieval-augmented systems further reinforces the importance of structured knowledge and reliable governance frameworks.
This session focuses on bridging information retrieval, knowledge management, data governance, and AI-driven analytics to support knowledge-based decision-making in higher education institutions.
Effective information retrieval mechanisms and knowledge management practices are required to organise, integrate, and contextualise institutional data. The emergence of AI technologies such as large language models (LLMs) and retrieval-augmented systems further reinforces the importance of structured knowledge and reliable governance frameworks.
This session focuses on bridging information retrieval, knowledge management, data governance, and AI-driven analytics to support knowledge-based decision-making in higher education institutions.
Scope & Topics of Interest
1 — Information Retrieval Perspectives
AI-driven retrieval for institutional analytics
Retrieval systems for performance data
RAG for institutional knowledge systems
LLM-assisted knowledge retrieval
Semantic retrieval of institutional data
Metadata design and indexing
Search and discovery systems
Knowledge retrieval from databases
Retrieval-supported decision systems
2 — Knowledge Management Perspectives
KM for institutional analytics
AI-supported KM systems
Knowledge structuring and repositories
Knowledge representation for KPIs
Integration across institutional systems
Knowledge-driven decision support
Knowledge ecosystems in universities
Institutional knowledge governance
3 — Data Governance & Intelligent Systems
Data governance frameworks
Knowledge governance models
Responsible AI and governance
Data quality and reliability
Data integration and interoperability
Evaluation and governance mechanisms
AI-assisted analytics
Retrieval-augmented knowledge systems
Explainable and trustworthy AI
Knowledge-driven governance
Expected Audience
- Researchers in IR and KM
- AI and data analytics researchers
- Computer science and information systems scholars
- Higher education analytics researchers
- Policy researchers
- Institutional data managers
- Government agencies
Expected Impact
Advancing data governance research in higher education
Strengthening IR and institutional analytics integration
Supporting knowledge-driven governance frameworks
Enabling evidence-based policy development
Submission & Publication
Submission Requirements
- Original, unpublished work
- 10–15 pages (Springer format)
- Similarity < 15%
- AI content < 20%
- No parallel submissions
- Follow Springer policies
Publication
- Springer CCIS
- Scopus indexed
- Peer-reviewed process
- Presentation required
🔗 Submit your papers electronically via the EDAS portal, under the track entitled "SS4-Higher Education Performance Analytics and Knowledge-Driven Decision Making"
EDAS
Session Format
The session includes approximately six presentations followed by discussion.
- 10-minute presentation
- 3–5 minutes discussion
Total duration: approximately 90–120 minutes.
Deadline
Submission Deadline
30 April 2026
If you require visa letters, accessibility accommodations, or special session guidance, mention it in your email for faster routing.
Session Organizers
Organizer
Dr. Vivi Indra Amelia Nasution
Universitas Terbuka
Indonesia
Indonesia
Brief Bio
Dr Vivi Indra Amelia Nasution is an Assistant Professor at Universitas Terbuka, Indonesia, and Advisor to the Vice-Rector for Research, Partnership, and Business. She holds a Doctorate in Public Administration from Universitas Indonesia. She is a researcher in higher education governance and digital transformation, with research interests in data governance, knowledge management, and data-driven university governance. Her recent work focuses on knowledge-based decision-making and digital transformation in higher education institutions.
She has extensive experience in higher education policy and international collaboration, having previously served at the Directorate General of Higher Education, Ministry of Higher Education, Science and Technology and the ICE Institute, Universitas Terbuka, and regularly contributes to national policy discussions on university governance and policy.
Dr Vivi Indra Amelia Nasution is an Assistant Professor at Universitas Terbuka, Indonesia, and Advisor to the Vice-Rector for Research, Partnership, and Business. She holds a Doctorate in Public Administration from Universitas Indonesia. She is a researcher in higher education governance and digital transformation, with research interests in data governance, knowledge management, and data-driven university governance. Her recent work focuses on knowledge-based decision-making and digital transformation in higher education institutions.
She has extensive experience in higher education policy and international collaboration, having previously served at the Directorate General of Higher Education, Ministry of Higher Education, Science and Technology and the ICE Institute, Universitas Terbuka, and regularly contributes to national policy discussions on university governance and policy.
Co-Organizer
Dr. Shahrinaz Ismail
Universiti Sains Malaysia
Malaysia
Malaysia
Brief Bio
Dr Shahrinaz Ismail is a sessional lecturer at Universiti Sains Malaysia and a Technical Advisor to a start-up company in Malaysia. She holds a PhD in Information and Communication Technology, with a research focus on knowledge management in software agent technology. A Certified Knowledge Manager, she is an active researcher in knowledge management, data acquisition, and multi-agent information systems. Her recent work explores the application of agentic AI in organizational knowledge management systems across various industries.
Dr Shahrinaz also has extensive experience in higher education academic quality assurance. She previously served on the Outcome-Based Education (OBE) think tank at a private university in Malaysia, contributing to initiatives that strengthened curriculum design, assessment practices, and continuous quality improvement in higher education.
Dr Shahrinaz Ismail is a sessional lecturer at Universiti Sains Malaysia and a Technical Advisor to a start-up company in Malaysia. She holds a PhD in Information and Communication Technology, with a research focus on knowledge management in software agent technology. A Certified Knowledge Manager, she is an active researcher in knowledge management, data acquisition, and multi-agent information systems. Her recent work explores the application of agentic AI in organizational knowledge management systems across various industries.
Dr Shahrinaz also has extensive experience in higher education academic quality assurance. She previously served on the Outcome-Based Education (OBE) think tank at a private university in Malaysia, contributing to initiatives that strengthened curriculum design, assessment practices, and continuous quality improvement in higher education.
Person to Contact
For inquiries regarding this special session, please contact:
Dr. Vivi Indra Amelia Nasution
Universitas Terbuka, Indonesia
vivi@ecampus.ut.ac.id
