Predicting usage for a marketable e-learning portal
To date, existing e-learning portals focuses on providing various learning materials via online.Such an approach may provide huge benefit to the learners; nevertheless, less value can be obtained by the developers or owners.The knowledge transfer programme provides an insight on how existing e-lear...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2014
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| Online Access: | https://repo.uum.edu.my/id/eprint/12682/1/Pre.pdf |
| _version_ | 1803626461478780928 |
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| author | Yaacob, Aizan Yusof, Yuhanis Sheik Osman, Wan Rozaini Derashid, Chek Omar Khan, Zainizad |
| author_facet | Yaacob, Aizan Yusof, Yuhanis Sheik Osman, Wan Rozaini Derashid, Chek Omar Khan, Zainizad |
| author_sort | Yaacob, Aizan |
| collection | UUM |
| description | To date, existing e-learning portals focuses on providing various learning materials via online.Such an approach may provide huge benefit to the learners; nevertheless, less value can be obtained by the developers or
owners.The knowledge transfer programme provides an insight on how existing e-learning portal can be upgraded.The academia has introduced the industry
to a computational modelling that is built upon the behaviour of nature community (i.e bees)The utilization of Artificial Bee Colony algorithm in predicting learners' usage of an e-learning portal provides an indicator to the
developers on the portals effectiveness.Such information is then useful in producing a marketable and valuable e-learning portal |
| first_indexed | 2024-07-04T05:50:32Z |
| format | Conference or Workshop Item |
| id | uum-12682 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:50:32Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | uum-126822016-05-26T04:12:01Z https://repo.uum.edu.my/id/eprint/12682/ Predicting usage for a marketable e-learning portal Yaacob, Aizan Yusof, Yuhanis Sheik Osman, Wan Rozaini Derashid, Chek Omar Khan, Zainizad LB Theory and practice of education T Technology (General) To date, existing e-learning portals focuses on providing various learning materials via online.Such an approach may provide huge benefit to the learners; nevertheless, less value can be obtained by the developers or owners.The knowledge transfer programme provides an insight on how existing e-learning portal can be upgraded.The academia has introduced the industry to a computational modelling that is built upon the behaviour of nature community (i.e bees)The utilization of Artificial Bee Colony algorithm in predicting learners' usage of an e-learning portal provides an indicator to the developers on the portals effectiveness.Such information is then useful in producing a marketable and valuable e-learning portal 2014-11-09 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12682/1/Pre.pdf Yaacob, Aizan and Yusof, Yuhanis and Sheik Osman, Wan Rozaini and Derashid, Chek and Omar Khan, Zainizad (2014) Predicting usage for a marketable e-learning portal. In: Persidangan Kebangsaan Kedua Program Pemindahan Ilmu (KTP02), 09 - 11 September 2014, Putrajaya, Malaysia. (Unpublished) |
| spellingShingle | LB Theory and practice of education T Technology (General) Yaacob, Aizan Yusof, Yuhanis Sheik Osman, Wan Rozaini Derashid, Chek Omar Khan, Zainizad Predicting usage for a marketable e-learning portal |
| title | Predicting usage for a marketable e-learning portal |
| title_full | Predicting usage for a marketable e-learning portal |
| title_fullStr | Predicting usage for a marketable e-learning portal |
| title_full_unstemmed | Predicting usage for a marketable e-learning portal |
| title_short | Predicting usage for a marketable e-learning portal |
| title_sort | predicting usage for a marketable e learning portal |
| topic | LB Theory and practice of education T Technology (General) |
| url | https://repo.uum.edu.my/id/eprint/12682/1/Pre.pdf |
| work_keys_str_mv | AT yaacobaizan predictingusageforamarketableelearningportal AT yusofyuhanis predictingusageforamarketableelearningportal AT sheikosmanwanrozaini predictingusageforamarketableelearningportal AT derashidchek predictingusageforamarketableelearningportal AT omarkhanzainizad predictingusageforamarketableelearningportal |