Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Analysis | 2 |
| Data Collection | 2 |
| Models | 2 |
| Scores | 2 |
| Accuracy | 1 |
| Blended Learning | 1 |
| College Mathematics | 1 |
| Computer Mediated… | 1 |
| Conventional Instruction | 1 |
| Data | 1 |
| Educational Technology | 1 |
| More ▼ | |
Source
| International Educational… | 2 |
Author
| Barnes, Tiffany | 2 |
| Chi, Min | 1 |
| Crossley, Scott | 1 |
| Lynch, Collin | 1 |
| Marwan, Samiha | 1 |
| McNamara, Danielle S. | 1 |
| Menezes, Ian | 1 |
| Price, Thomas W. | 1 |
| Shi, Yang | 1 |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| North Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Crossley, Scott; Barnes, Tiffany; Lynch, Collin; McNamara, Danielle S. – International Educational Data Mining Society, 2017
This study takes a novel approach toward understanding success in a math course by examining the linguistic features and affect of students' language production within a blended (with both on-line and traditional face to face instruction) undergraduate course (n=158) on discrete mathematics. Three linear effects models were compared: (a) a…
Descriptors: Success, Mathematics Instruction, Language Usage, Blended Learning

Peer reviewed
