Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Intelligent Tutoring Systems | 5 |
| Problem Solving | 5 |
| Psychological Patterns | 5 |
| Predictor Variables | 3 |
| Affective Behavior | 2 |
| Learner Engagement | 2 |
| Academic Aspiration | 1 |
| Behavior Patterns | 1 |
| Computer Science Education | 1 |
| Correlation | 1 |
| Course Selection (Students) | 1 |
| More ▼ | |
Source
| Grantee Submission | 1 |
| International Educational… | 1 |
| International Journal of… | 1 |
| Internet and Higher Education | 1 |
| Journal of Educational Data… | 1 |
Author
| Boyer, Kristy Elizabeth | 1 |
| Chen, Lujie | 1 |
| Chiu, Mei-Shiu | 1 |
| D'Mello, Sidney | 1 |
| Dubrawski, Artur | 1 |
| Graesser, Art | 1 |
| Grafsgaard, Joseph F. | 1 |
| Kelly Collins | 1 |
| Lehman, Blair | 1 |
| Lester, James C. | 1 |
| Li, Xin | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 3 |
| Speeches/Meeting Papers | 2 |
| Reports - Evaluative | 1 |
Education Level
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedNatalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Chiu, Mei-Shiu – Journal of Educational Data Mining, 2020
This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…
Descriptors: Gender Differences, Predictor Variables, STEM Education, Course Selection (Students)
Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2017
In recent years, significant advances have been made in intelligent tutoring systems, and these advances hold great promise for adaptively supporting computer science (CS) learning. In particular, tutorial dialogue systems that engage students in natural language dialogue can create rich, adaptive interactions. A promising approach to increasing…
Descriptors: Intelligent Tutoring Systems, Self Efficacy, Computer Science Education, Dialogs (Language)
Chen, Lujie; Li, Xin; Xia, Zhuyun; Song, Zhanmei; Morency, Louis-Philippe; Dubrawski, Artur – International Educational Data Mining Society, 2016
Solving challenging math problems often invites a child to ride an "emotional roller-coaster" and experience a complex mixture of emotions including confusion, frustration, joy, and surprise. Early exposure to this type of "hard fun" may stimulate child's interest and curiosity of mathematics and nurture life long skills such…
Descriptors: Young Children, Mathematics Education, Problem Solving, Psychological Patterns
Lehman, Blair; D'Mello, Sidney; Graesser, Art – Internet and Higher Education, 2012
Folk wisdom holds that being confused is detrimental to learning. However, research on emotions and learning suggest a somewhat more complex relationship between confusion and learning outcomes. In fact, it has been proposed that impasses that trigger states of cognitive disequilibrium and confusion can create opportunities for deep learning of…
Descriptors: Feedback (Response), Learning Strategies, Problem Solving, Intervention

Direct link
