Generation of Medical Case-Based Multiple-Choice Questions
This narrative review is a detailed look at how we make multiple-choice questions (MCQs) based on medical cases in today’s medical teaching. Moving from old-style MCQs to ones that are more related to real clinical situations is really important. It helps in growing critical thinking and practical u...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | International Medical Education |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-141X/3/1/2 |
| _version_ | 1827306019329409024 |
|---|---|
| author | Somaiya Al Shuriaqi Abdulrahman Aal Abdulsalam Ken Masters |
| author_facet | Somaiya Al Shuriaqi Abdulrahman Aal Abdulsalam Ken Masters |
| author_sort | Somaiya Al Shuriaqi |
| collection | DOAJ |
| description | This narrative review is a detailed look at how we make multiple-choice questions (MCQs) based on medical cases in today’s medical teaching. Moving from old-style MCQs to ones that are more related to real clinical situations is really important. It helps in growing critical thinking and practical use, especially since MCQs are still the primary method for testing knowledge in medicine. We look at the history, design ideas, and both manual and computer-based methods that have helped create MCQs. Technologies like Artificial Intelligence (AI) and Natural Language Processing (NLP) are receiving a lot of focus for their ability to automate the creation of question. We also talk about the challenges of using real patient cases, like the need for exact clinical information, reducing unclear information, and thinking about ethical issues. We also investigate the measures of validity and reliability that are crucial to maintaining the honesty of case-based MCQs. Finally, we look ahead, speculating on where medical education is headed as new technologies are incorporated and the value of case-based evaluations continues to rise. |
| first_indexed | 2024-04-24T18:09:57Z |
| format | Article |
| id | doaj.art-18eefaa8f364427fac999940d5c30342 |
| institution | Directory Open Access Journal |
| issn | 2813-141X |
| language | English |
| last_indexed | 2024-04-24T18:09:57Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Medical Education |
| spelling | doaj.art-18eefaa8f364427fac999940d5c303422024-03-27T13:46:44ZengMDPI AGInternational Medical Education2813-141X2023-12-0131122210.3390/ime3010002Generation of Medical Case-Based Multiple-Choice QuestionsSomaiya Al Shuriaqi0Abdulrahman Aal Abdulsalam1Ken Masters2Department of Computer Science, College of Science, Sultan Qaboos University, P.O. Box 243, Muscat 123, OmanDepartment of Computer Science, College of Science, Sultan Qaboos University, P.O. Box 243, Muscat 123, OmanMedical Education and Informatics Department, College of Medicine and Health Sciences, Sultan Qaboos University, P.O. Box 243, Muscat 123, OmanThis narrative review is a detailed look at how we make multiple-choice questions (MCQs) based on medical cases in today’s medical teaching. Moving from old-style MCQs to ones that are more related to real clinical situations is really important. It helps in growing critical thinking and practical use, especially since MCQs are still the primary method for testing knowledge in medicine. We look at the history, design ideas, and both manual and computer-based methods that have helped create MCQs. Technologies like Artificial Intelligence (AI) and Natural Language Processing (NLP) are receiving a lot of focus for their ability to automate the creation of question. We also talk about the challenges of using real patient cases, like the need for exact clinical information, reducing unclear information, and thinking about ethical issues. We also investigate the measures of validity and reliability that are crucial to maintaining the honesty of case-based MCQs. Finally, we look ahead, speculating on where medical education is headed as new technologies are incorporated and the value of case-based evaluations continues to rise.https://www.mdpi.com/2813-141X/3/1/2medical case-based multiple-choice questions (CB-MCQs)distractorsartificial intelligence (AI)natural language processing (NLP) |
| spellingShingle | Somaiya Al Shuriaqi Abdulrahman Aal Abdulsalam Ken Masters Generation of Medical Case-Based Multiple-Choice Questions International Medical Education medical case-based multiple-choice questions (CB-MCQs) distractors artificial intelligence (AI) natural language processing (NLP) |
| title | Generation of Medical Case-Based Multiple-Choice Questions |
| title_full | Generation of Medical Case-Based Multiple-Choice Questions |
| title_fullStr | Generation of Medical Case-Based Multiple-Choice Questions |
| title_full_unstemmed | Generation of Medical Case-Based Multiple-Choice Questions |
| title_short | Generation of Medical Case-Based Multiple-Choice Questions |
| title_sort | generation of medical case based multiple choice questions |
| topic | medical case-based multiple-choice questions (CB-MCQs) distractors artificial intelligence (AI) natural language processing (NLP) |
| url | https://www.mdpi.com/2813-141X/3/1/2 |
| work_keys_str_mv | AT somaiyaalshuriaqi generationofmedicalcasebasedmultiplechoicequestions AT abdulrahmanaalabdulsalam generationofmedicalcasebasedmultiplechoicequestions AT kenmasters generationofmedicalcasebasedmultiplechoicequestions |