Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Feedback (Response) | 3 |
| Models | 3 |
| Problem Solving | 3 |
| Data Collection | 2 |
| Data Processing | 2 |
| Decision Making | 2 |
| Formative Evaluation | 2 |
| Tutoring | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| More ▼ | |
Author
| Barnes, Tiffany | 3 |
| Stamper, John | 2 |
| Chi, Min | 1 |
| Croy, Marvin | 1 |
| Marwan, Samiha | 1 |
| Menezes, Ian | 1 |
| Price, Thomas W. | 1 |
| Shi, Yang | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Higher 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
Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability

Peer reviewed
Direct link
