Please use this identifier to cite or link to this item: http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4473
Title: Curriculum evaluation of bachelor’s degree in network engineering at Sichuan university of science & engineering
Authors: Nanyang Xiang
Keywords: Engineering – Curricula
Engineering -- study and teaching
CIPPI model
Curriculum evaluation
Decision-making approach
Issue Date: 2022
Publisher: Rajamangala University of Technology Thanyaburi. Faculty of Technical education. Program in curriculum development and instructional innovation
Abstract: This research aimed to evaluate the curriculum of the bachelor’s degree in Network Engineering at Sichuan University of Science and Engineering by using the CIPPI model based on Stufflebeam’s decision-making approach focusing on context, input, process, and outcome. The research samples consisted of 353 people, selected by purposive sampling and divided into 5 groups: 19 administrators, 24 instructors, 230 students, 40 undergraduates, graduates, and 40 employers. The instruments used to collect data were questionnaires. Mean, standard deviation, and percentage were used for data analysis. The findings were as follows: 1) The opinions of the administrators, instructors, students, graduates, and employers towards the curriculum of the bachelor’s degree in Network Engineering at Sichuan University of Science and Engineering were at a high level in all aspects and were ranked from the highest mean as follows: process ( x̅ =4. 12) , input ( x̅ =4. 02), product (x̅ =4.01), and context (x̅ =3.97). 2) When each aspect was examined, it was found that: (2.1) All aspects of the context were at a high level, ranked from the highest mean as follows: subject content, curriculum composition, curriculum construction, and curriculum objectives, respectively. (2.2) All input aspects were at a high level, ranked from the highest mean as follows: budget and facilities, administrators, learning materials, instructors, and curriculum objectives, respectively. (2.3) All process aspects were at a high level, ranked from the highest mean as follows: measurement, evaluation, and learning management, respectively. (2.4) All product aspects were at a high level, ranked from the highest mean as follows: knowledge, emotions, attitudes, values, and skills, respectively.
URI: http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4473
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