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Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal


Abdul Hamid, Jamaliah and Mohayidin, Mohd Ghazali and Selamat, Mohd Hassan 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 and Exhibition 2006 (KMICE 2006), 6-8 June 2006, The Legend Hotel Kuala Lumpur.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 983-3282-90-3 Organized by: Faculty of Information Technology, UUM
Uncontrolled Keywords: Taxonomy, algorithmic taxonomy, service workload, scoring, university portal
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 20 Aug 2014 08:40
Last Modified: 20 Aug 2014 08:40
URI: http://repo.uum.edu.my/id/eprint/11476

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