Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Syed Latifi"'
Autor:
Alaa Abd-alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Padraig Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh
Publikováno v:
JMIR Medical Education, Vol 9, p e48291 (2023)
The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and c
Externí odkaz:
https://doaj.org/article/dc97585722694058a065628684f5e65e
Publikováno v:
SAGE Open, Vol 6 (2016)
The purpose of this study is to evaluate two methodological perspectives of test fairness using a national Secondary School Certificate (SSC) examinations. SSC is a suit of multi-subject national qualification tests at Grade 10 level in South Asian c
Externí odkaz:
https://doaj.org/article/e85c1608cd804fa1b1c5c5f423e20c01
Autor:
Alaa Abd-alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh
UNSTRUCTURED Background: The integration of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c2e442731fd54bf7b089d4674e06831
https://doi.org/10.2196/preprints.48291
https://doi.org/10.2196/preprints.48291
Autor:
Syed Latifi, Mark Gierl
Publikováno v:
Language Testing. 38:62-85
An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Me
Publikováno v:
Medical Education. 48:950-962
Context Constructed-response tasks, which range from short-answer tests to essay questions, are included in assessments of medical knowledge because they allow educators to measure students’ ability to think, reason, solve complex problems, communi
Publikováno v:
Artificial Intelligence Research. 6
Multiple-choice questions are the popular type of test items that are used for testing the knowledge of health-science students innorth America and elsewhere. The motivation of this article is to present the recent advances in the automatic item gene
The purpose of this chapter is to describe and illustrate a template-based method for automatically generating test items. This method can be used to produce a large numbers of high-quality items both quickly and efficiency. To highlight the practica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758f21726e01f72066a7583e789cc1cf
https://doi.org/10.4018/978-1-4666-9441-5.ch022
https://doi.org/10.4018/978-1-4666-9441-5.ch022
Publikováno v:
Evaluationthe health professions. 39(1)
We present a framework for technology-enhanced scoring of bilingual clinical decision-making (CDM) questions using an open-source scoring technology and evaluate the strength of the proposed framework using operational data from the Medical Council o
Publikováno v:
SAGE Open. 6:215824401665379
1. Syed Latifi[1][1][⇑][2] 2. Okan Bulut[1][1] 3. Mark Gierl[1][1] 4. Thomas Christie[2][3] 5. Shehzad Jeeva[3][4] 1. 1University of Alberta, Edmonton, Canada 2. 2Adam Smith Institute, Manchester, UK 3. 3Aga Khan University Examination Board, Karac