Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
International Educational… | 3 |
Author
An, Dongwook | 1 |
Chi, Min | 1 |
Kang, Jina | 1 |
Khayi, Nisrine Ait | 1 |
Liu, Min | 1 |
Rus, Vasile | 1 |
Shen, Shitian | 1 |
Yan, Lili | 1 |
Publication Type
Reports - Research | 3 |
Speeches/Meeting Papers | 3 |
Education Level
Secondary Education | 2 |
Elementary Education | 1 |
Grade 6 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Force Concept Inventory | 1 |
What Works Clearinghouse Rating
Kang, Jina; An, Dongwook; Yan, Lili; Liu, Min – International Educational Data Mining Society, 2019
Collaborative problem-solving (CPS) as a key competency required in the 21st century. There has been an increasing need to understand CPS since it involves not only cognitive but also social processes, and thus its process is difficult to examine. Recent research has highlighted that computer-based learning environments provide an opportunity for…
Descriptors: Cooperative Learning, Problem Solving, Science Education, Educational Games
Khayi, Nisrine Ait; Rus, Vasile – International Educational Data Mining Society, 2019
In this paper, we applied a number of clustering algorithms on pretest data collected from 264 high-school students. Students took the pre-test at the beginning of a 5-week experiment in which they interacted with an intelligent tutoring system. The primary goal of this work is to identify clusters of students exhibiting similar knowledge…
Descriptors: High School Students, Cluster Grouping, Prior Learning, Intelligent Tutoring Systems
Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior