Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| High School Students | 2 |
| Learning Analytics | 2 |
| Learning Strategies | 2 |
| Academic Achievement | 1 |
| Artificial Intelligence | 1 |
| Biology | 1 |
| Cooperation | 1 |
| Data Analysis | 1 |
| Data Use | 1 |
| Design | 1 |
| Electronic Learning | 1 |
| More ▼ | |
Author
| Everson, Howard T. | 1 |
| Heng Luo | 1 |
| Krumm, Andrew | 1 |
| Neisler, Julie | 1 |
| Xiaofang Liao | 1 |
| Xuedi Zhang | 1 |
| Zhifeng Wang | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| High Schools | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Grade 9 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xiaofang Liao; Xuedi Zhang; Zhifeng Wang; Heng Luo – British Journal of Educational Technology, 2024
Formative assessment is essential for improving teaching and learning, and AI and visualization techniques provide great potential for its design and delivery. Using NLP, cognitive diagnostic and visualization techniques designed to analyse and present students' monthly exam data, we developed an AI-enabled visual report tool comprising six…
Descriptors: Artificial Intelligence, Design, Program Implementation, Formative Evaluation
Krumm, Andrew; Everson, Howard T.; Neisler, Julie – Journal of Learning Analytics, 2022
This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6-12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and…
Descriptors: Learning Management Systems, Data Analysis, Electronic Learning, Student Behavior

Peer reviewed
Direct link
