Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Classification | 2 |
| Course Objectives | 2 |
| Accountability | 1 |
| Alignment (Education) | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Bias | 1 |
| College Curriculum | 1 |
| College Faculty | 1 |
| Course Descriptions | 1 |
| Educational Objectives | 1 |
| More ▼ | |
Source
| Education and Information… | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Malaysia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Download full textMacCuish, Donald A. – 1986
A model for assuring quality in the development of course objectives and classroom and exit examinations is presented. The model was based on a pilot study with 131 faculty at the University of Central Florida. It was found that 91% of teaching faculty create 100% of the tests they use to evaluate student performance. The faculty seemed to use…
Descriptors: Accountability, Classification, College Faculty, Course Descriptions
