Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Anbuselvan Sangodiah"'
Autor:
Anbuselvan Sangodiah, Wei Chooi Yi, Ayu Norafida binti Ayob, Norazira Binti A Jalil, Charles Ramendran S PR Subramaniam, Gong Lirong
Publikováno v:
Mendel, Vol 29, Iss 2 (2023)
The advanced digital revolution has shifted conventional teaching and learning into digital education. In consistency with digital education, Augmented Reality (AR) applications started to shine in the education industry for their ability to create c
Externí odkaz:
https://doaj.org/article/e9825153d78a46bcaf90fd00c24f0a93
Autor:
Wee Chea Chang, Anbuselvan Sangodiah
Publikováno v:
Mendel, Vol 29, Iss 2 (2023)
Semantic Web is the vision to make Internet data machine-readable to achieve information retrieval with higher granularity and personalisation. Semantic annotation is the process that binds machine-understandable descriptions into Web resources such
Externí odkaz:
https://doaj.org/article/6237e899524e43aab8068b3f9a3c5733
Autor:
Mohammed Osman Gani, Ramesh Kumar Ayyasamy, Saadat M. Alhashmi, Anbuselvan Sangodiah, Yong Tien Fui
Publikováno v:
IEEE Access, Vol 10, Pp 132777-132785 (2022)
Numerous earlier studies focused on the term weighting scheme to increase examination question classification accuracy based on Bloom’s Taxonomy (BT). While determining the cognitive level of the examination question, all the terms present in the q
Externí odkaz:
https://doaj.org/article/865d85343f644f90bb68b5b358ba9c5c
Publikováno v:
Mendel, Vol 28, Iss 2 (2022)
Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive levels. However, manual question labeling takes a long time, and not all evaluators are fa
Externí odkaz:
https://doaj.org/article/dc944ed8e5944ecfac3ab872361764c7
Autor:
Anbuselvan Sangodiah, Tham Jee San, Yong Tien Fui, Lim Ean Heng, Ramesh Kumar Ayyasamy, Norazira A Jalil
Publikováno v:
Mendel, Vol 28, Iss 1 (2022)
Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by educators in accordance with Bloom’s taxonomy cognitive domain. To ease the burden of the ed
Externí odkaz:
https://doaj.org/article/c5afcd8c7d34495e8cdc61310341c840
Publikováno v:
Education and Information Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4985a5b68195661ec868301833ba3a1
https://doi.org/10.1007/s10639-023-11842-1
https://doi.org/10.1007/s10639-023-11842-1
Autor:
Lee Hao Jie, Ramesh Kumar Ayyasamy, Anbuselvan Sangodiah, Norazira Binti A Jalil, Kesavan Krishnan, P. Chinnasamy
Publikováno v:
2023 International Conference on Computer Communication and Informatics (ICCCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28dadc430380ef40f1ad99aff6c5ddd4
https://doi.org/10.1109/iccci56745.2023.10128534
https://doi.org/10.1109/iccci56745.2023.10128534
Publikováno v:
Mendel. 2022 vol. 28, č. 2, s. 25-40. ISSN 1803-3814
Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive levels. However, manual question labeling takes a long time, and not all evaluators are fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f319bb97b56812ad033611391ba7de11
https://hdl.handle.net/11012/208745
https://hdl.handle.net/11012/208745
Autor:
Bashar Tahayna, Ramesh Kumar Ayyasamy, Norazira Binti A Jalil, Anbuselvan Sangodiah, Lina N A Tahayna, Saraswathy Krisnan
Publikováno v:
2022 3rd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5c67c12fbb2b22e49bef6546224c46
https://doi.org/10.1109/aidas56890.2022.9918762
https://doi.org/10.1109/aidas56890.2022.9918762
Autor:
Bashar Tahayna, Ramesh Kumar Ayyasamy, Rehan Akbar, Nor Fatiha Binti Subri, Anbuselvan Sangodiah
Publikováno v:
2022 3rd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23df84f49c06881974b966d653e292c0
https://doi.org/10.1109/aidas56890.2022.9918749
https://doi.org/10.1109/aidas56890.2022.9918749