Using learning profiles to inform education priorities
An editors’ overview of the Special Issue
Bibliographic Data
| ID | 12069656 |
|---|---|
| Authors | Luis Crouch (0000-0002-7001-1253, RTI International), Michelle Kaffenberger (0000-0002-7987-9649, University of Oxford, corresponding author), Laura Savage (Government of the United Kingdom) |
| Year | 2021 |
| Volume | 86 |
| Pages | 102477-102477 |
| Publication date | 2021-08-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Educational Development (JOURNAL) |
| Journal identifiers | ISSN: 0738-0593 • E-ISSN: 1873-4871 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijedudev.2021.102477 |
| PMID | 34602726 |
| OpenAlex | W3192800695 |
| Language | EN |
| Citations received | 4 |
| References cited | 16 |
This special issue explores the use of learning profiles for analysing the dynamics of low learning in low- and middle-income countries and informing priorities to address the learning crisis. The 12 papers in the special issue draw on learning data from more than 50 countries and 6 million individuals, with implications for education policy and practice. Taken together, they point to a need to steepen learning trajectories by prioritizing early mastery of foundational skills for all children. The papers show that addressing the learning crisis will not be achieved through more school grade attainment alone, nor through within-country equality across groups (such as girls and boys or rich and poor). Positive examples show that programs focused on foundational learning both improved average learning and reduced inequality. Addressing the learning crisis will require a focus on systems improvement, using foundational learning as a case in point for making the needed systems improvements to steepen learning throughout children's time in school. Learning profiles can provide a guide for education actors aiming to improve learning outcomes
Inequality · Machine learning · Mathematics education · Point (geometry · Policy learning · Computer Science · Early Childhood Education and Development · Poverty, Education, and Child Welfare · Psychology · School Choice and Performance
Schooling progress, learning reversal
Accounting for repetition and dropout in contemporaneous cross-section learning profiles
Aiming higher
Learning equity requires more than equality
Assessing the assessments
A structured model of the dynamics of student learning in developing countries, with applications to policy
Average vs. distributional effects
Measuring access to learning over a period of increased access to schooling
Eliminating global learning poverty
Girls’ schooling and women’s literacy
Looking beyond changes in averages in evaluating foundational learning
New evidence on learning trajectories in a low-income setting
Effective investment in women's futures
Beyond business as usual
| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |