Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Intelligent Tutoring Systems | 6 |
| Predictor Variables | 6 |
| Feedback (Response) | 4 |
| Grade 8 | 4 |
| Knowledge Level | 4 |
| Mathematics Instruction | 4 |
| Models | 4 |
| Middle School Students | 3 |
| Scores | 3 |
| Academic Achievement | 2 |
| Accuracy | 2 |
| More ▼ | |
Source
| International Educational… | 3 |
| International Journal of… | 1 |
| International Working Group… | 1 |
| Journal of Learning Analytics | 1 |
Author
Publication Type
| Reports - Research | 4 |
| Collected Works - Proceedings | 2 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
| Grade 8 | 6 |
| Middle Schools | 6 |
| Elementary Education | 5 |
| Junior High Schools | 5 |
| Secondary Education | 5 |
| Grade 7 | 4 |
| Grade 6 | 3 |
| High Schools | 3 |
| Higher Education | 2 |
| Intermediate Grades | 2 |
| Postsecondary Education | 2 |
| More ▼ | |
Audience
Location
| Massachusetts | 2 |
| Pennsylvania | 2 |
| Australia | 1 |
| Brazil | 1 |
| Czech Republic | 1 |
| Florida | 1 |
| Israel | 1 |
| Netherlands | 1 |
| North Carolina | 1 |
| Slovakia | 1 |
| South Carolina | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Florida Comprehensive… | 1 |
| Massachusetts Comprehensive… | 1 |
What Works Clearinghouse Rating
Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
Nam, SungJin; Frishkoff, Gwen; Collins-Thompson, Kevyn – International Educational Data Mining Society, 2017
We show how the novel use of a semantic representation based on Osgood's semantic differential scales can lead to effective features in predicting short- and long-term learning in students using a vocabulary learning system. Previous studies in students' intermediate knowledge states during vocabulary acquisition did not provide much information…
Descriptors: Predictor Variables, Vocabulary Development, Semantics, Intelligent Tutoring Systems
Lang, Charles; Heffernan, Neil; Ostrow, Korinn; Wang, Yutao – International Educational Data Mining Society, 2015
For at least the last century researchers have advocated the use of student confidence as a form of educational assessment and the growth of online and mobile educational software has made the implementation of this measurement far easier. The following short paper discusses our first study of the dynamics of student confidence in an online math…
Descriptors: Educational Assessment, Intelligent Tutoring Systems, Self Esteem, Mathematics Instruction
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries

Peer reviewed
Direct link
