“We’ve entered a new era of digital innovation — Explore how ABHS is transforming assessments with AI and advanced technologies.”
From Examiner to Educator
Coaching a New Era of Assessment in the Arab World
Advanced Workshops
These are specialized workshops led by experts, focusing on innovation, analytics, and future-ready assessment tools tailored for the Arab Board of Health Specializations (ABHS).
AI-Powered Assessment Design
This workshop introduces AI tools for generating high-quality MCQs and OSCE station scenarios based on clinical competencies, ensuring alignment with ABHS standards. Participants will also explore how artificial intelligence enhances blueprinting, automates question categorization, and supports the creation of performance dashboards. The workshop includes practical demonstrations of integrating AI into the assessment lifecycle—from exam design to data analytics.
Advanced Psychometrics
A deep dive into high-level psychometric principles, including reliability, validity, Item Response Theory (IRT), and detailed item analysis for high-stakes examinations. The workshop also introduces Cognitive Diagnostic Models (CDMs) as advanced frameworks for assessing examinees' mastery of specific attributes or subskills. Participants will learn how CDMs can complement traditional psychometric methods by providing fine-grained diagnostic feedback, guiding remediation, and enhancing the interpretability of assessment data.
Computer Adaptive Testing (CAT)
Learn the theoretical structure, algorithms, and implementation strategies of CAT in residency programs. This workshop prepares participants to design and manage adaptive tests aligned with modern competency frameworks.
Digital OSCE & CBDs Integration
Participants will learn to design, administer, and monitor OSCEs and CBDs using digital platforms. The focus is on structured rubrics, centralized supervision, and AI-supported feedback tools.
Data-Driven Quality Assurance in Exams
This session introduces participants to real-time dashboards, psychometric reporting, and statistical feedback loops to enhance the quality and fairness of assessments across regions.
This advanced workshop is dedicated to developing effective systems for post-exam feedback and remediation following the computer-based MCQ exams conducted by the Arab Board of Health Specializations (ABHS).
Participants will explore how to design structured, actionable feedback processes that go beyond final scores — offering candidates meaningful insights into their performance and guiding them toward improvement.
Workshop Highlights:
Principles of effective feedback for computer-based MCQ exams
Using item analysis and psychometric reports to inform feedback
Interpreting domain-level and objective-level performance data
Designing automated feedback reports using digital platforms
Structuring remediation programs based on identified knowledge gaps
Promoting fairness, transparency, and continuous growth in summative assessment systems
This session is ideal for exam committee members, psychometric analysts, and academic leads seeking to integrate data-informed, learner-centered feedback and remediation into the ABHS cognitive assessment framework.