Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Assisted Instruction | 3 |
| Computer Science Education | 3 |
| Human Factors Engineering | 3 |
| Artificial Intelligence | 1 |
| Cognitive Processes | 1 |
| Cognitive Style | 1 |
| Computer Programs | 1 |
| Computer System Design | 1 |
| Courseware | 1 |
| Design Requirements | 1 |
| Electronic Learning | 1 |
| More ▼ | |
Author
| Al-Dujaily, Amal | 1 |
| Kim, Jieun | 1 |
| Ryu, Hokyoung | 1 |
| Soloway, Elliot | 1 |
| Stine, Walter D. | 1 |
| Wildemuth, Barbara M. | 1 |
Publication Type
| Journal Articles | 2 |
| Information Analyses | 1 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Researchers | 1 |
Location
| New Zealand | 1 |
| Oman | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Learning Style Inventory | 1 |
| Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Direct linkAl-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
Soloway, Elliot; And Others – 1982
This report examines the features and performance of the BUG-FINDing component of MENO-II, a computer-based tutor for beginning PASCAL programming students. A discussion of the use of artificial intelligence techniques is followed by a summary of the system status and objectives. The two main components of MENO-II are described, beginning with the…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Computer Science Education
Peer reviewedStine, Walter D.; Wildemuth, Barbara M. – Journal of Education for Library and Information Science, 1992
Research in human computer interaction and instructional design can provide insights into effective methods for training microcomputer users. Suggestions include utilizing error recognition and recovery, development of mental models, simplification of documentation, and using cognitive approaches that allow transfer of knowledge to new situations.…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Science Education, Experiential Learning
