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Intelligent Assessment Systems in Medical Education: A Systematic Review
Majid Alizadeh1, Maryam Jafar Sameri2
1Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Introduction:
Using Intelligent Assessment Systems (IAS) in medical education has garnered attention as an advanced tool for enhancing educational processes and student evaluation. These systems leverage advanced algorithms to rapidly assess the students' performance and learning progress. This systematic review aimed to examine the role and impact of Intelligent Assessment Systems in improving educational processes, academic evaluation, and learning progress in medical students compared to traditional assessment methods.
Methods:
This study was conducted using the PRISMA framework for reporting systematic review articles. Databases such as Embase, PubMed, ProQuest, Web of Science, and Scopus up to March 2024 were reviewed using relevant keywords. Eligible articles were selected and evaluated based on predefined inclusion and exclusion criteria.
Results:
Out of 2741 articles identified, 10 studies were selected for final analysis. This systematic review analyzed 10 studies, demonstrating that interactive assessment systems (IAS) can enhance learning outcomes by up to 40% in certain settings. The findings emphasized the benefits of immediate feedback and reduced instructor workload. The significant role of IAS in enhancing student performance, providing immediate feedback and reducing the workload of instructors was indicated. These systems, through the use of machine learning algorithms and virtual reality simulators, enable more accurate and comprehensive assessment of students' clinical and cognitive skills.
Conclusion:
Intelligent Assessment Systems (IAS) significantly improve educational processes and academic evaluation by providing immediate and precise feedback, enhancing student self-efficacy and self-awareness and reducing the training time and costs. The successful implementation of IAS requires careful system design, user training, and continuous technical support. Further studies are recommended to explore the advantages and challenges of these systems and to optimize their implementation in medical education. The long-term impacts of IAS and scalability across educational contexts require further studies. In conclusion, IAS offers transformative potential in medical education globally, provided that challenges are addressed.
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