Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
Descriptor
| Keyboarding (Data Entry) | 3 |
| Learning Analytics | 3 |
| Computer Software | 2 |
| English (Second Language) | 2 |
| Teaching Methods | 2 |
| Undergraduate Students | 2 |
| Arabic | 1 |
| Artificial Intelligence | 1 |
| Assignments | 1 |
| Automation | 1 |
| Barriers | 1 |
| More ▼ | |
Author
| Buthainah M. Al Thowaini | 1 |
| Edwards, John | 1 |
| Hart, Kaden | 1 |
| Mutahar Qassem | 1 |
| Shrestha, Raj | 1 |
| Talebinamvar, Mobina | 1 |
| Zarrabi, Forooq | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Utah | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 1 |
What Works Clearinghouse Rating
Mutahar Qassem; Buthainah M. Al Thowaini – Education and Information Technologies, 2024
Leveraging technological tools in educational research expands investigations into participants' behaviors and provides insights into learning patterns and teaching effectiveness through innovative data collection and analysis methods. Using keylogging data software, this study explored trainee translators' process and product behaviors under two…
Descriptors: Journalism, Translation, Keyboarding (Data Entry), Language Processing
Talebinamvar, Mobina; Zarrabi, Forooq – Language Testing in Asia, 2022
Feedback is an essential component of learning environments. However, providing feedback in populated classes can be challenging for teachers. On the one hand, it is unlikely that a single kind of feedback works for all students considering the heterogeneous nature of their needs. On the other hand, delivering personalized feedback is infeasible…
Descriptors: Feedback (Response), Writing Evaluation, Writing (Composition), Learning Analytics
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology

Peer reviewed
Direct link
