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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...

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Main Authors: Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati
Format: Conference or Workshop Item
Language:English
Published: Universiti Utara Malaysia 2006
Online Access:http://psasir.upm.edu.my/id/eprint/59719/1/216.pdf
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id oai:psasir.upm.edu.my:59719
record_format eprints
spelling oai:psasir.upm.edu.my:59719 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).
institution UPM IR
collection UPM IR
language English
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.
format Conference or Workshop Item
author Abdul Hamid, Jamaliah
Mohayidin, Mohd Ghazali
Selamat, Mohd Hasan
Ibrahim, Hamidah
Abdullah, Rusli
Hashim, Ruhil Hayati
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
author_facet Abdul Hamid, Jamaliah
Mohayidin, Mohd Ghazali
Selamat, Mohd Hasan
Ibrahim, Hamidah
Abdullah, Rusli
Hashim, Ruhil Hayati
author_sort Abdul Hamid, Jamaliah
title 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_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_sort using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the upm km portal
publisher Universiti Utara Malaysia
publishDate 2006
url http://psasir.upm.edu.my/id/eprint/59719/1/216.pdf
_version_ 1782756001777188864
score 12.933938

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