Cover Image

Using algorithmic taxonomy to evaluate lecturer workload

Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influenced by various factors such as level of taught courses, number of student, credit and contact hour and off campus or on campus course design. Universiti Putra Malaysia (UPM...

Full description

Saved in:
Bibliographic Details
Main Authors: Hashim, Ruhil Hayati, Abdul Hamid, Jamaliah, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Mohayidin, Mohd Ghazali
Format: Article
Language:English
Published: The Leadership Alliance 2006
Online Access:http://psasir.upm.edu.my/id/eprint/59720/1/Using%20algorithmic%20taxonomy%20to%20evaluate%20lecturer%20workload.pdf
http://psasir.upm.edu.my/id/eprint/59720/
http://www.tlainc.com/jkmpv7n206.htm
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.59720
record_format eprints
spelling my.upm.eprints.597202018-03-21T01:47:28Z http://psasir.upm.edu.my/id/eprint/59720/ Using algorithmic taxonomy to evaluate lecturer workload Hashim, Ruhil Hayati Abdul Hamid, Jamaliah Selamat, Mohd Hasan Ibrahim, Hamidah Abdullah, Rusli Mohayidin, Mohd Ghazali Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influenced by various factors such as level of taught courses, number of student, credit and contact hour and off campus or on campus course design. Universiti Putra Malaysia (UPM) has a Knowledge Management Portal that contains sets of metadata on lecturer profile and knowledge assets. The Lecturer profile contains information of lecturer teaching load, research, publication and many more. We constructed an algorithmic taxonomy based on 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. The Leadership Alliance 2006 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59720/1/Using%20algorithmic%20taxonomy%20to%20evaluate%20lecturer%20workload.pdf Hashim, Ruhil Hayati and Abdul Hamid, Jamaliah and Selamat, Mohd Hasan and Ibrahim, Hamidah and Abdullah, Rusli and Mohayidin, Mohd Ghazali (2006) Using algorithmic taxonomy to evaluate lecturer workload. Journal of Knowledge Management Practice, 7 (2). ISSN 1705-9232 http://www.tlainc.com/jkmpv7n206.htm
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Lecturer workload at universities includes three major categories: teaching, research and services. Teaching workload is influenced by various factors such as level of taught courses, number of student, credit and contact hour and off campus or on campus course design. Universiti Putra Malaysia (UPM) has a Knowledge Management Portal that contains sets of metadata on lecturer profile and knowledge assets. The Lecturer profile contains information of lecturer teaching load, research, publication and many more. We constructed an algorithmic taxonomy based on 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 Article
author Hashim, Ruhil Hayati
Abdul Hamid, Jamaliah
Selamat, Mohd Hasan
Ibrahim, Hamidah
Abdullah, Rusli
Mohayidin, Mohd Ghazali
spellingShingle Hashim, Ruhil Hayati
Abdul Hamid, Jamaliah
Selamat, Mohd Hasan
Ibrahim, Hamidah
Abdullah, Rusli
Mohayidin, Mohd Ghazali
Using algorithmic taxonomy to evaluate lecturer workload
author_facet Hashim, Ruhil Hayati
Abdul Hamid, Jamaliah
Selamat, Mohd Hasan
Ibrahim, Hamidah
Abdullah, Rusli
Mohayidin, Mohd Ghazali
author_sort Hashim, Ruhil Hayati
title Using algorithmic taxonomy to evaluate lecturer workload
title_short Using algorithmic taxonomy to evaluate lecturer workload
title_full Using algorithmic taxonomy to evaluate lecturer workload
title_fullStr Using algorithmic taxonomy to evaluate lecturer workload
title_full_unstemmed Using algorithmic taxonomy to evaluate lecturer workload
title_sort using algorithmic taxonomy to evaluate lecturer workload
publisher The Leadership Alliance
publishDate 2006
url http://psasir.upm.edu.my/id/eprint/59720/1/Using%20algorithmic%20taxonomy%20to%20evaluate%20lecturer%20workload.pdf
http://psasir.upm.edu.my/id/eprint/59720/
http://www.tlainc.com/jkmpv7n206.htm
_version_ 1643837154555592704
score 13.211869

Similar Items