“We’ve entered a new era of digital innovation — Explore how ABHS is transforming assessments with AI and advanced technologies.”
Flipped Workshops: Enhancing Interaction and Deep Learning
Upcoming workshops of the Measurement and Evaluation Unit of the General Secretariat of Arab Board of Health Specializations will adopt the flipped classroom approach. This approach includes providing an AI-generated podcast before the workshop to prepare participants, and an interactive test after the workshop to provide immediate feedback to enhance learning effectiveness and engagement.
Promote critical thinking and in-depth analysis of information.
Improve interaction between participants and trainers.
Provide a personalized learning experience that suits the needs of each participant.
Handout and pre-workshop materials with AI-generated podcast.
Workshop design.
Interactive tests.
AI in Assessment
Categorization and Blueprinting
Psychometrics
Item Construction
OSCE Scoring and Marking Rubrics
Standard Settings
Psychometrics: Advancing Education, Training, and Program Accreditation in the Arab Board of Health Specializations
For three years, psychometric workshops and sessions, along with other training programs organized by the Assessment unit in collaboration with the Advisory Committee at the Arab Board of Health Specializations (ABHS), were limited to members of the measurement and examination committees. However, the real beneficiaries of these workshops are not only these committees but also all members of the scientific councils, including leaders of executive committees, programs & training committees, continuous professional development committees, as well as trainers in accredited centers.
The goal is no longer just to improve the quality of examinations and their digital implementation. Instead, the focus has shifted to leveraging exam data analysis, available through the Eval.connect , to enhance educational and training processes while strengthening program accreditation and improving the overall performance of medical trainees. These data-driven insights are no longer used solely to refine future exams; they now serve as strategic tools for reshaping training policies, developing assessment methods, and aligning clinical competencies with accreditation standards, ensuring that training programs meet regional and international best practices.
An Integrated System for Supporting Program Accreditation
The assessment and evaluation data available through the Eval.connect play a key role in supporting medical training and program accreditation by:
* Analyzing trainee performance to implement targeted improvements in training programs and meet accreditation requirements.
* Developing evidence-based assessment policies to enhance exam quality and ensure transparency in evaluating clinical competencies.
* Ensuring curriculum updates by integrating exam data analysis into regular program reviews.
* Utilizing technology in assessment to align exam results with required clinical competencies and continuously update training programs.
* Aligning evaluation standards with Arab Board & global accreditation and quality assurance requirements, thereby enhancing the regional and international recognition of ABHS certifications.
This approach contributes to building an integrated system that links assessment, training, and accreditation, strengthening the effectiveness of medical programs and ensuring the quality of their outcomes.
Transforming Medical Education Through Integrated Assessment Systems
Developing a comprehensive measurement and assessment system within ABHS and integrating exam data with accreditation standard levels marks a significant transformation in managing specialized medical education. Assessments are no longer merely tools for measuring performance but have become fundamental drivers for enhancing training quality and ensuring physician competence across participating Arab countries.
The Arab Board of Health Specializations is not limited to conducting exams; it is building a fully integrated educational and training system that leverages deep data analysis to drive program accreditation toward more efficient and innovative standards.
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