Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Reinforcement | 5 |
Foreign Countries | 4 |
Intelligent Tutoring Systems | 4 |
Models | 4 |
Online Courses | 4 |
Student Behavior | 4 |
Artificial Intelligence | 3 |
At Risk Students | 3 |
Automation | 3 |
College Students | 3 |
Cooperative Learning | 3 |
More ▼ |
Author
Publication Type
Collected Works - Proceedings | 3 |
Information Analyses | 1 |
Journal Articles | 1 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Middle Schools | 5 |
High Schools | 4 |
Junior High Schools | 4 |
Secondary Education | 4 |
Elementary Education | 3 |
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Secondary Education | 1 |
Grade 5 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
More ▼ |
Audience
Location
Brazil | 2 |
Afghanistan | 1 |
China | 1 |
Illinois (Chicago) | 1 |
Uruguay | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Page, Scott V.; Zimmerman, Dylan M.; Pinkelman, Sarah E. – Journal of Positive Behavior Interventions, 2023
Dependent group contingencies offer an efficient way to improve the behavior of an entire group of students, as the performance of only one or a few students needs to be monitored at a time. Prior literature reviews outlined the use of group contingency interventions with children in educational settings; however, these reviews did not exclusively…
Descriptors: Contingency Management, Group Dynamics, Student Behavior, Classroom Techniques
Ai, Fangzhe; Chen, Yishuai; Guo, Yuchun; Zhao, Yongxiang; Wang, Zhenzhu; Fu, Guowei; Wang, Guangyan – International Educational Data Mining Society, 2019
Personalized education systems recommend learning contents to students based on their capacity to accelerate their learning. This paper proposes a personalized exercise recommendation system for online self-directed learning. We first improve the performance of knowledge tracing models. Existing deep knowledge tracing models, such as Dynamic…
Descriptors: Online Courses, Independent Study, Grade 5, Elementary School Students
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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