Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Algebra | 2 |
| Gender Differences | 2 |
| Learning Modalities | 2 |
| Mathematics Achievement | 2 |
| Mathematics Instruction | 2 |
| Visual Aids | 2 |
| Academic Achievement | 1 |
| Academic Persistence | 1 |
| Affective Behavior | 1 |
| Asynchronous Communication | 1 |
| Behavior | 1 |
| More ▼ | |
Author
| Ali Alhramelah | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Stamper, John, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Elementary Education | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Direct linkAli Alhramelah – ProQuest LLC, 2018
This study was conducted to examine the effects of modality across gender on undergraduate student achievement when learning Algebra concepts. Cognitive Load Theory (CLT) and Cognitive Theory of Multimedia Learning (CTML) provided a framework for this study to describe in depth the concept of the modality principle. Participants were undergraduate…
Descriptors: Learning Modalities, Gender Differences, Undergraduate Students, Mathematics Achievement
Download full textStamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
