Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Foreign Countries | 2 |
| Pattern Recognition | 2 |
| Prediction | 2 |
| Accuracy | 1 |
| Benchmarking | 1 |
| Cognitive Style | 1 |
| College Entrance Examinations | 1 |
| College Students | 1 |
| Computer Science Education | 1 |
| Data Processing | 1 |
| Enrollment | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
Audience
Location
| China | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao – IEEE Transactions on Learning Technologies, 2014
During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…
Descriptors: Cognitive Style, Pattern Recognition, Intelligent Tutoring Systems, Prediction
Liu, Bin; Bi, Qing-sheng – Online Submission, 2010
The Verhulst model can be used to forecast the sequence, which is characterized as non-monotone and fluctuant sequence or saturated S-form sequence. According to the situation of national enrollment scale of college, this paper forecasts the quantity of students taking entrance examination to college with a Verhulst model with remedy based on data…
Descriptors: Higher Education, Foreign Countries, Mathematical Models, College Entrance Examinations

Peer reviewed
Direct link
