Zobrazeno 1 - 10
of 1 039
pro vyhledávání: '"Short answer"'
Autor:
Christian Grévisse
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Multiple choice questions are heavily used in medical education assessments, but rely on recognition instead of knowledge recall. However, grading open questions is a time-intensive task for teachers. Automatic short answer gradin
Externí odkaz:
https://doaj.org/article/187eff35852e4deda46366758909da7a
Autor:
Gerd Kortemeyer
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Automated Short Answer Grading (ASAG) has been an active area of machine-learning research for over a decade. It promises to let educators grade and give feedback on free-form responses in large-enrollment courses in spite of limited availab
Externí odkaz:
https://doaj.org/article/64d03ace86cb4e4cb5a58286c1c32942
Autor:
Mustafa Kaya, Ilyas Cicekli
Publikováno v:
IEEE Access, Vol 12, Pp 96332-96341 (2024)
With the widespread use of distance learning, technological developments have also been applied in the field of education. The need for accurate and efficient assessment methods for online exams has become even more apparent, especially with remote l
Externí odkaz:
https://doaj.org/article/ff128675f32a4c7d9afdd77e8b71f1be
Autor:
Leo Morjaria, Levi Burns, Keyna Bracken, Anthony J. Levinson, Quang N. Ngo, Mark Lee, Matthew Sibbald
Publikováno v:
International Medical Education, Vol 3, Iss 1, Pp 32-43 (2024)
Traditional approaches to marking short-answer questions face limitations in timeliness, scalability, inter-rater reliability, and faculty time costs. Harnessing generative artificial intelligence (AI) to address some of these shortcomings is attract
Externí odkaz:
https://doaj.org/article/7c81246874b7474daa44c7430cd3e8e2
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4532 (2024)
Short-answer questions can encourage students to express their understanding. However, these answers can vary widely, leading to subjective assessments. Automatic short answer grading (ASAG) has become an important field of research. Recent studies h
Externí odkaz:
https://doaj.org/article/f341840ff6074b489b007ea07448c896
Autor:
Shakir, Umair
My dissertation is about how engineering educators can use natural language processing (NLP) in implementing open-ended assessments in undergraduate engineering degree programs. Engineering students need to develop an ability to exercise judgment abo
Externí odkaz:
https://hdl.handle.net/10919/117103
Publikováno v:
IEEE Access, Vol 11, Pp 37508-37514 (2023)
Automatic Short-Answer Grading (ASAG) is an application for recognizing textual entailment in smart education. With the continuous expansion of the application scope of artificial neural networks, many deep learning models have been applied to gradin
Externí odkaz:
https://doaj.org/article/0a9ae952af3541e2ababf03b4db53cba
Publikováno v:
IEEE Access, Vol 11, Pp 39457-39465 (2023)
The era of technology and digitalization has been advantageous to the educational sector. The examination system is one of the most important educational pillars that have been affected. As automatic exam grading is a revolution in the history of exa
Externí odkaz:
https://doaj.org/article/d79bad26a4ae45bbacc1ebab9385a4e7
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Autor:
Syeda Fabeha Husain, Nixi Wang, Roger S. McIntyre, Bach X. Tran, Thao Phuong Nguyen, Linh Gia Vu, Giang Thu Vu, Roger C. Ho, Cyrus S. Ho
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
BackgroundTraditionally, the effect of assessment item types including true/false questions (TFQs), multiple-choice questions (MCQs), short answer questions (SAQs), and case scenario questions (CSQs) is examined through psychometric qualities or stud
Externí odkaz:
https://doaj.org/article/a89140bc140840a69ba197ae3df2afc0