Abstract
Various activities of planning take place at most colleges and universities such as academic planning, enrollment planning, human resources planning, budget planning, facilities planning, campus master planning, and so on. The concern that this paper raises is on how effective is these planning activities. The paper provides managerial insights that may guide planner in two main activities: admission and recourses allocation. The insights were generated using two decision analytic models. The first model examines the Higher Education Admission Center in Oman which is responsible to enroll students to higher education institutions. However, the enrollment decision in which student enroll in which higher education institution needs is based on student competitive score. This score is calculated as weighted average of students marks in subjects. However, the models gives insights to students and parents on certain findings that can help them guide their effort. Also it gives insights to the Center on the weights associated with formula of this score. The second analytic model simulates about 200 thousands scenarios on academic resources (number of faculty) allocation given certain input factors such as faculty load, class size, number of courses per year, duration of the degree offered. The papers highlights certain findings such as: class size and faculty member load (number of course per year) have an exponential decreasing function in the number of academic staff. There are significant variation on the number of required academic stafffor different scenarios which suggest that higher education institution planners should consider these variations.
| Original language | English |
|---|---|
| Title of host publication | 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 |
| Publisher | IEOM Society |
| Pages | 3081-3086 |
| Number of pages | 6 |
| Volume | 8-10 March 2016 |
| ISBN (Print) | 9780985549749 |
| Publication status | Published - 2016 |
| Event | 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 - Kuala Lumpur, Malaysia Duration: Mar 8 2016 → Mar 10 2016 |
Other
| Other | 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 3/8/16 → 3/10/16 |
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Keywords
- Academic Resources Planning
- Decison Analysis
- Higher Education Admission Center
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
Cite this
Decision analysis view of higher education planning activities of admission and recourses allocation in Oman. / Kindi, Mahmood Al.
6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016. Vol. 8-10 March 2016 IEOM Society, 2016. p. 3081-3086.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Decision analysis view of higher education planning activities of admission and recourses allocation in Oman
AU - Kindi, Mahmood Al
PY - 2016
Y1 - 2016
N2 - Various activities of planning take place at most colleges and universities such as academic planning, enrollment planning, human resources planning, budget planning, facilities planning, campus master planning, and so on. The concern that this paper raises is on how effective is these planning activities. The paper provides managerial insights that may guide planner in two main activities: admission and recourses allocation. The insights were generated using two decision analytic models. The first model examines the Higher Education Admission Center in Oman which is responsible to enroll students to higher education institutions. However, the enrollment decision in which student enroll in which higher education institution needs is based on student competitive score. This score is calculated as weighted average of students marks in subjects. However, the models gives insights to students and parents on certain findings that can help them guide their effort. Also it gives insights to the Center on the weights associated with formula of this score. The second analytic model simulates about 200 thousands scenarios on academic resources (number of faculty) allocation given certain input factors such as faculty load, class size, number of courses per year, duration of the degree offered. The papers highlights certain findings such as: class size and faculty member load (number of course per year) have an exponential decreasing function in the number of academic staff. There are significant variation on the number of required academic stafffor different scenarios which suggest that higher education institution planners should consider these variations.
AB - Various activities of planning take place at most colleges and universities such as academic planning, enrollment planning, human resources planning, budget planning, facilities planning, campus master planning, and so on. The concern that this paper raises is on how effective is these planning activities. The paper provides managerial insights that may guide planner in two main activities: admission and recourses allocation. The insights were generated using two decision analytic models. The first model examines the Higher Education Admission Center in Oman which is responsible to enroll students to higher education institutions. However, the enrollment decision in which student enroll in which higher education institution needs is based on student competitive score. This score is calculated as weighted average of students marks in subjects. However, the models gives insights to students and parents on certain findings that can help them guide their effort. Also it gives insights to the Center on the weights associated with formula of this score. The second analytic model simulates about 200 thousands scenarios on academic resources (number of faculty) allocation given certain input factors such as faculty load, class size, number of courses per year, duration of the degree offered. The papers highlights certain findings such as: class size and faculty member load (number of course per year) have an exponential decreasing function in the number of academic staff. There are significant variation on the number of required academic stafffor different scenarios which suggest that higher education institution planners should consider these variations.
KW - Academic Resources Planning
KW - Decison Analysis
KW - Higher Education Admission Center
UR - http://www.scopus.com/inward/record.url?scp=85018460168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018460168&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85018460168
SN - 9780985549749
VL - 8-10 March 2016
SP - 3081
EP - 3086
BT - 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
PB - IEOM Society
ER -