Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 4 |
Descriptor
Bayesian Statistics | 4 |
Models | 4 |
Comparative Analysis | 3 |
Computation | 3 |
Data Analysis | 3 |
Knowledge Level | 3 |
Students | 3 |
Artificial Intelligence | 2 |
Automation | 2 |
Computer Software | 2 |
Computer System Design | 2 |
More ▼ |
Source
International Working Group… | 4 |
Author
Ayers, Elizabeth | 1 |
Barnes, Tiffany, Ed. | 1 |
Beck, Joseph E. | 1 |
Calders, Toon | 1 |
Conati, Cristina | 1 |
Dean, Nema | 1 |
Desmarais, Michel, Ed. | 1 |
Gong, Yue | 1 |
Nugent, Rebecca | 1 |
Pechenizkiy, Mykola | 1 |
Rai, Dovan | 1 |
More ▼ |
Publication Type
Collected Works - Proceedings | 2 |
Speeches/Meeting Papers | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Elementary Education | 2 |
Grade 8 | 2 |
Higher Education | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Adult Education | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Grade 12 | 1 |
Grade 4 | 1 |
Grade 7 | 1 |
More ▼ |
Audience
Location
Netherlands | 2 |
Australia | 1 |
Czech Republic | 1 |
Israel | 1 |
Massachusetts | 1 |
North Carolina | 1 |
Pennsylvania | 1 |
Slovakia | 1 |
Spain | 1 |
Utah | 1 |
Washington | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Massachusetts Comprehensive… | 1 |
What Works Clearinghouse Rating
Ayers, Elizabeth; Nugent, Rebecca; Dean, Nema – International Working Group on Educational Data Mining, 2009
A fundamental goal of educational research is identifying students' current stage of skill mastery (complete/partial/none). In recent years a number of cognitive diagnosis models have become a popular means of estimating student skill knowledge. However, these models become difficult to estimate as the number of students, items, and skills grows.…
Descriptors: Data Analysis, Skills, Knowledge Level, Students
Rai, Dovan; Gong, Yue; Beck, Joseph E. – International Working Group on Educational Data Mining, 2009
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better understand student learning there are two problems. First, a model's ability to predict student performance is at best weakly related to the accuracy of any one of its…
Descriptors: Data Analysis, Statistical Analysis, Probability, Models
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
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