Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
| Amanda Goodwin | 1 |
| Eduardo Davalos | 1 |
| Fukazawa, Yoshiaki | 1 |
| Gautam Biswas | 1 |
| Kaieda, Shota | 1 |
| Namrata Srivastava | 1 |
| Saito, Daisuke | 1 |
| Washizaki, Hironori | 1 |
| Yike Zhang | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 2 |
| Grade 6 | 2 |
| Intermediate Grades | 2 |
| Middle Schools | 2 |
| Grade 4 | 1 |
Audience
Location
| Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedEduardo Davalos; Namrata Srivastava; Yike Zhang; Amanda Goodwin; Gautam Biswas – Grantee Submission, 2024
As online learning tools become more widespread, understanding student behaviors through learning analytics is increasingly important. Traditional methods relying on system log data fall short of capturing the full range of cognitive strategies students use. To address this, we developed an in-depth post-assignment reflection dashboard that…
Descriptors: Visualization, Eye Movements, Electronic Learning, Online Courses
Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education

Direct link
