Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Gender Differences | 2 |
| Learning Analytics | 2 |
| Learning Processes | 2 |
| Academic Achievement | 1 |
| Age Differences | 1 |
| Child Language | 1 |
| Childrens Literature | 1 |
| Computation | 1 |
| Computational Linguistics | 1 |
| Creative Thinking | 1 |
| Culture Fair Tests | 1 |
| More ▼ | |
Author
| Cohen, Anat | 1 |
| David Eby | 1 |
| Denis Dumas | 1 |
| Levi-Gamlieli, Hadas | 1 |
| Michele Newman | 1 |
| Nachmias, Rafi | 1 |
| Peter Organisciak | 1 |
| Selcuk Acar | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
| Elementary Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Israel | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Levi-Gamlieli, Hadas; Cohen, Anat; Nachmias, Rafi – Technology, Instruction, Cognition and Learning, 2015
The aim of this study is to identify online learning behavior that is excessively intense as reflected in a student's overly frequent interaction with the instructor through various communication channels. Then, this study aims to use learning analytics methodologies to discover whether a student with the identified behavior also displays the same…
Descriptors: Student Behavior, Online Courses, Web Sites, Teacher Student Relationship

Peer reviewed
Direct link
