Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Computation | 7 |
Mathematics | 7 |
Accuracy | 4 |
Data Analysis | 3 |
Evaluation Methods | 3 |
Feedback (Response) | 3 |
Models | 3 |
Scoring | 3 |
Artificial Intelligence | 2 |
Automation | 2 |
Bayesian Statistics | 2 |
More ▼ |
Source
International Educational… | 7 |
Author
Bahargam, Sanaz | 1 |
Barnes, Tiffany, Ed. | 1 |
Bestavros, Azer | 1 |
Chi, Min | 1 |
Cuadros, Jordi | 1 |
Cutumisu, Maria | 1 |
Donnelly, Chistopher | 1 |
Erdos, Dóra | 1 |
González-Sabaté, Lucinio | 1 |
Heffernan, Neil | 1 |
Hershkovitz, Arnon, Ed. | 1 |
More ▼ |
Publication Type
Speeches/Meeting Papers | 6 |
Reports - Research | 5 |
Collected Works - Proceedings | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Early Childhood Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
China | 1 |
Massachusetts | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
Xue, Linting; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2017
Augmented Graph Grammars are a graph-based rule formalism that supports rich relational structures. They can be used to represent complex social networks, chemical structures, and student-produced argument diagrams for automated analysis or grading. In prior work we have shown that Evolutionary Computation (EC) can be applied to induce…
Descriptors: Graphs, Visual Aids, Mathematics, Novelty (Stimulus Dimension)
Niu, Ke; Niu, Zhendong; Zhao, Xiangyu; Wang, Can; Kang, Kai; Ye, Min – International Educational Data Mining Society, 2016
User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…
Descriptors: Web Based Instruction, Student Needs, User Needs (Information), Mathematics
Martori, Francesc; Cuadros, Jordi; González-Sabaté, Lucinio – International Educational Data Mining Society, 2015
Student modeling can help guide the behavior of a cognitive tutor system and provide insight to researchers on understanding how students learn. In this context, Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its predictive accuracy, interpretability and ability to infer student knowledge. However,…
Descriptors: Bayesian Statistics, Inferences, Prediction, Accuracy
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
Ostrow, Korinn; Donnelly, Chistopher; Heffernan, Neil – International Educational Data Mining Society, 2015
As adaptive tutoring systems grow increasingly popular for the completion of classwork and homework, it is crucial to assess the manner in which students are scored within these platforms. The majority of systems, including ASSISTments, return the binary correctness of a student's first attempt at solving each problem. Yet for many teachers,…
Descriptors: Intelligent Tutoring Systems, Scoring, Testing, Credits
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use