Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal
Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design. The UPM has a KM Portal that conta...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2006
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59719/ http://psasir.upm.edu.my/id/eprint/59719/1/216.pdf |
| _version_ | 1848853999748382720 |
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| author | Abdul Hamid, Jamaliah Mohayidin, Mohd Ghazali Selamat, Mohd Hasan Ibrahim, Hamidah Abdullah, Rusli Hashim, Ruhil Hayati |
| author_facet | Abdul Hamid, Jamaliah Mohayidin, Mohd Ghazali Selamat, Mohd Hasan Ibrahim, Hamidah Abdullah, Rusli Hashim, Ruhil Hayati |
| author_sort | Abdul Hamid, Jamaliah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design. The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets. The Lecturer profile contains information lecturer teaching, research, publication and many more. We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload. This method measures the lecturer teaching workload. The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture. |
| first_indexed | 2025-11-15T11:02:54Z |
| format | Conference or Workshop Item |
| id | upm-59719 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:02:54Z |
| publishDate | 2006 |
| publisher | Universiti Utara Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-597192018-03-21T01:47:51Z http://psasir.upm.edu.my/id/eprint/59719/ Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal Abdul Hamid, Jamaliah Mohayidin, Mohd Ghazali Selamat, Mohd Hasan Ibrahim, Hamidah Abdullah, Rusli Hashim, Ruhil Hayati Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design. The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets. The Lecturer profile contains information lecturer teaching, research, publication and many more. We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload. This method measures the lecturer teaching workload. The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset. Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture. Universiti Utara Malaysia 2006 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59719/1/216.pdf Abdul Hamid, Jamaliah and Mohayidin, Mohd Ghazali and Selamat, Mohd Hasan and Ibrahim, Hamidah and Abdullah, Rusli and Hashim, Ruhil Hayati (2006) Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal. In: Knowledge Management International Conference & Exhibition (KMICE 2006), 6-8 June 2006, Legend Hotel Kuala Lumpur, Malaysia. (pp. 216-224). |
| spellingShingle | Abdul Hamid, Jamaliah Mohayidin, Mohd Ghazali Selamat, Mohd Hasan Ibrahim, Hamidah Abdullah, Rusli Hashim, Ruhil Hayati Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title | Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title_full | Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title_fullStr | Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title_full_unstemmed | Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title_short | Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal |
| title_sort | using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the upm km portal |
| url | http://psasir.upm.edu.my/id/eprint/59719/ http://psasir.upm.edu.my/id/eprint/59719/1/216.pdf |