Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
Descriptor
Author
| Castellano, Katherine E. | 1 |
| Daniel Zaldivar | 1 |
| Erik Hombre Cuevas | 1 |
| Huimin Duan | 1 |
| Lockwood, J. R. | 1 |
| Marco Perez | 1 |
| McCaffrey, Daniel F. | 1 |
| Rui Mu | 1 |
| Sannyuya Liu | 1 |
| Shiqi Liu | 1 |
| Zhi Liu | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Kindergarten | 1 |
| Primary Education | 1 |
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Erik Hombre Cuevas; Daniel Zaldivar; Marco Perez – International Journal of Information and Communication Technology Education, 2025
The integration of various programming languages into the undergraduate engineering curriculum often occurs without adequate evaluation of their effectiveness within specific disciplines. Recently, Python and MATLAB have garnered significant attention as preferred languages for teaching subjects such as image processing and computer vision.…
Descriptors: Influence of Technology, Technology Uses in Education, Programming Languages, Academic Achievement
Zhi Liu; Huimin Duan; Shiqi Liu; Rui Mu; Sannyuya Liu; Zongkai Yang – Educational Technology & Society, 2024
Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…
Descriptors: Electronic Learning, Achievement Gains, Knowledge Level, Emotional Experience
Lockwood, J. R.; Castellano, Katherine E.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2022
Many states and school districts in the United States use standardized test scores to compute annual measures of student achievement progress and then use school-level averages of these growth measures for various reporting and diagnostic purposes. These aggregate growth measures can vary consequentially from year to year for the same school,…
Descriptors: Accuracy, Prediction, Programming Languages, Standardized Tests

Peer reviewed
Direct link
