Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Foreign Countries | 2 |
| Gender Differences | 2 |
| Homework | 2 |
| Prediction | 2 |
| Reading Comprehension | 2 |
| Academic Achievement | 1 |
| Academic Persistence | 1 |
| Achievement Gains | 1 |
| Affective Behavior | 1 |
| Algebra | 1 |
| Asynchronous Communication | 1 |
| More ▼ | |
Author
| Lerkkanen, Marja-Kristiina | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pakarinen, Eija | 1 |
| Pardos, Zachary, Ed. | 1 |
| Salminen, Jenni | 1 |
| Stamper, John, Ed. | 1 |
| Torppa, Minna | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 2 |
| Intermediate Grades | 2 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| Grade 2 | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLerkkanen, Marja-Kristiina; Pakarinen, Eija; Salminen, Jenni; Torppa, Minna – Reading and Writing: An Interdisciplinary Journal, 2023
This study quantified the possible learning losses in reading and math skills among a sample of Finnish Grade 3 children (n = 198) who spent 8 weeks in distance learning during the first wave of the COVID-19 pandemic in spring 2020. We compared their reading and math skill development trajectories across Grades 1, 2, and 4 to a pre-COVID sample (N…
Descriptors: Foreign Countries, Reading Skills, Mathematics Skills, Grade 3
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
