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
Author
| Cetintas, Suleyman | 1 |
| Chu, Hui-Chun | 1 |
| Hord, Casey | 1 |
| Huang, Shu-Hsien | 1 |
| Hwang, Gwo-Jen | 1 |
| Shih, Ju-Ling | 1 |
| Si, Luo | 1 |
| Tsai, Chin-Chung | 1 |
| Xin, Yan Ping | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 2 |
| Elementary Secondary Education | 2 |
| Grade 4 | 2 |
Audience
Location
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hwang, Gwo-Jen; Chu, Hui-Chun; Shih, Ju-Ling; Huang, Shu-Hsien; Tsai, Chin-Chung – Educational Technology & Society, 2010
A context-aware ubiquitous learning environment is an authentic learning environment with personalized digital supports. While showing the potential of applying such a learning environment, researchers have also indicated the challenges of providing adaptive and dynamic support to individual students. In this paper, a decision-tree-oriented…
Descriptors: Foreign Countries, Ecology, Natural Sciences, Educational Environment
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)

Peer reviewed
Direct link
