PRE CONFERENCE WORKSHOPS - 19th June 2025
Where Curiosity Meets Community
Quality in Health Professions Education (by Invite Only)
Quality in Health Profession Education (by Invite Only)

Prof. Dujeepa Samarasekera

Dr. Lee Shuh Shing

Prof. Koh Dow Rhoon

Dr. Jillian Yeo
- Quality in HPE encompasses robust curriculum design, effective teaching methodologies, and rigorous programme evaluation to ensure alignment with educational standards and learner needs. The Programme Evaluation and Curriculum Quality Improvement Workshop, organised as part of the ARQ Summit, aims to address these key aspects by bringing together educators, administrators, and stakeholders to explore frameworks, processes, and strategies for enhancing educational quality. Through interactive discussions, case studies, and expert-led sessions, this workshop will provide participants with practical tools to evaluate and improve their HPE programmes.
- Describe the concept of quality in HPE and its significance.
- Apply programme evaluation frameworks to assess and enhance educational outcomes.
- Implement quality management and assurance processes to achieve continuous improvement.
- Analyse case studies to develop and execute practical strategies for addressing evaluation results and closing the quality loop.
Assessment for Learning

Dr. Dinesh K Badyal
Assessment for Learning (AFL) is a pedagogical practice with anticipated gains of increased student motivation, mastery and autonomy. It is conducted during the course with the primary purpose of providing feedback for improving learning. It's ongoing and designed to inform and support student progress. This process of assessment plays an essential role in competency-based education.
- Apply the techniques of AFL during the course in various settings
- Provide constructive, specific and timely feed- back to help student understand their strengths and areas for improvement
- Discuss the role of peer, self-assessment and reflection among both faculty and learners for improvement
- Learn to use AFL Data for improving curriculum
Learning Analytics as Evidence for ARQ

Prof. Vishna Devi V Nadarajah
This interactive workshop introduces health professions educators to the core concepts and practical uses of learning analytics. It is designed for educators with little to moderate familiarity with analytics and aims to build foundational confidence in using data to enhance educational practice. The session will showcase how learning analytics can help educators detect struggling learners, evaluate learning impact, and personalize feedback and support. Learning analytics (LA) offers a powerful way to make sense of this data to improve teaching, curriculum design, and learner support.
- Identify key sources of student data and common learning analytics indicators.
- Interpret simple dashboards or reports to identify student learning trends.
- Apply learning analytics insights to enhance teaching, assessment, and student support.
- Discuss ethical principles for responsible use of student data in educational settings.
Inter-professional Simulation: A Pathway for Healthcare Quality and Safety

Prof. Makani Purva

Dr. Judie Arulappan

Mrs. P. Princy Fernando

Dr. E J Sree Kumar
- Strengthen inter-professional teaching and facilitation practices.
- Integrate global best practices in simulation-based inter-professional education.
- Enhance the quality and safety of patient care through effective teamwork and communication.
Conducting an Academic audit

Dr. Vinod Pallath
Navigating the patent landscape for researchers

Prof. Umesh V. Banakar, Ph.D
- Understand the distinction between taking an invention to market and taking it to full commercial realisation.
- Recognise the importance of IPR in protecting and leveraging innovation for sustainable prosperity.
- Identify key challenges in the commercialisation journey, including legal, financial, and technical barriers.
- Assess IP value through audits and understand its role in attracting investment and partnerships.
- Navigate technology transfer processes and stakeholder interests effectively.
- Explore strategies for startups and academic institutions to translate IP into market-ready products.
- Apply practical insights from real-world case studies.
AI in Education

Dr. Abirami Murugappan
Department of Information Science and Technology,
College of Engineering Guindy Campus,
Anna University, Chennai- Understand the need for Artificial Intelligence (AI) in the field of Education.
- Identify the fundamental components of AI.
- Demonstrate the use of AI in the design of instructional materials and assessments.
- Demonstrate AI approaches to enhance teaching pedagogy.
- Apply AI tools and techniques to support academic processes and decision-making.