首页    期刊浏览 2024年09月19日 星期四
登录注册

文章基本信息

  • 标题:Evaluating Teaching Workload of Academic Staff for Optimum and Effective Use of Expertise Resources
  • 本地全文:下载
  • 作者:Abdul Rahim Razalli ; Kamarulzaman Kamaruddin ; Ong Eng Tek
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2021
  • 卷号:11
  • 期号:6
  • 页码:13-26
  • DOI:10.6007/IJARBSS/v11-i6/10077
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:This study is to identify teaching workload of academic staff based on teaching load and ratio of academic staff and students to optimize and enhance the use of expertise resources for academic staff at Sultan Idris University of Education (UPSI). The study is quantitative in design with data provided by the Academic Affairs Division (AAD) and the Institute of Graduate Studies (IPS). The study sample involved all UPSI academic staff involving 9 faculties for study semesters of 171 and 172. The study found that the teaching load for both semesters exceeds 50 percent of the teaching load or 20.9 hours from 40 hours of weekly workload. Findings on ratio of 1:30 academic staff with students for the diploma program found that three diploma programs were still short of lecturers and seven programs were found to have extra lecturers for semester 172 and semester 171. For the Bachelor's degree program with a ratio of 1:25 of lecturers and students found 31 programs from 23 departments short of lecturers while 8 departments have extra lecturers. With a ratio of 1:20 graduate programs (masters) it was found that 14 programs from 24 departments were still short of lecturers and 10 departments with extra lecturers for semester 172. As for semester 171, there are 16 departments still short of lecturers and 8 departments with extra lecturers. Implications of the study indicate imbalance of amount in teaching load and the non-compliance of ratio value between lecturers and students that could hamper efforts taken by UPSI to optimize and strengthen the use of existing expertise resources.
国家哲学社会科学文献中心版权所有