Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Artificial Intelligence | 2 |
Classification | 2 |
Models | 2 |
Natural Language Processing | 2 |
Accuracy | 1 |
Alignment (Education) | 1 |
Automation | 1 |
Bias | 1 |
College Curriculum | 1 |
Course Objectives | 1 |
Educational Objectives | 1 |
More ▼ |
Source
Education and Information… | 2 |
Author
Ayyasamy, Ramesh Kumar | 1 |
Fui, Yong Tien | 1 |
Gani, Mohammed Osman | 1 |
Kam Meng Goh | 1 |
Kin Yun Lum | 1 |
Li Li Lim | 1 |
Sangodiah, Anbuselvan | 1 |
Tsung Heng Chiew | 1 |
Wai Tong Chor | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Malaysia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gani, Mohammed Osman; Ayyasamy, Ramesh Kumar; Sangodiah, Anbuselvan; Fui, Yong Tien – Education and Information Technologies, 2023
The automated classification of examination questions based on Bloom's Taxonomy (BT) aims to assist the question setters so that high-quality question papers are produced. Most studies to automate this process adopted the machine learning approach, and only a few utilised the deep learning approach. The pre-trained contextual and non-contextual…
Descriptors: Models, Artificial Intelligence, Natural Language Processing, Writing (Composition)
Wai 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