We present results from early learning programs in six African countries: Ethiopia, Kenya, Liberia, Malawi, Tanzania, and Uganda. In partnership with ministries of education, RTI International has worked within government systems to support the design and deployment of locally contextualized materials, training, and assessment tools, with the goal of improving outcomes for early learners in primary schools, and in Kenya and Tanzania preprimary as well. Here we report on the experience and evidence of impact from specific programs in each country, including summary assessment results when available. In several countries with completed impact evaluations, there are significant and important learning gains of between 0.2 and 2.57 SD in effect size; in one case the percentage of students reaching grade-level reading proficiency increased from 12% to 47%. In the context of increased urgency surrounding what UNESCO has called a "global learning crisis," these experiences provide useful lessons for policymakers and practitioners alike.
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http://dx.doi.org/10.1002/cad.20224 | DOI Listing |
Indian J Orthop
January 2025
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001 China.
Introduction: The Steinberg classification system is commonly used by orthopedic surgeons to stage the severity of patients with osteonecrosis of the femoral head (ONFH), and it includes mild, moderate, and severe grading of each stage based on the area of the femoral head affected. However, clinicians mostly grade approximately by visual assessment or not at all. To accurately distinguish the mild, moderate, or severe grade of early stage ONFH, we propose a convolutional neural network (CNN) based on magnetic resonance imaging (MRI) of the hip joint of patients to accurately grade and aid diagnosis of ONFH.
View Article and Find Full Text PDFPsychol Res Behav Manag
December 2024
Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, People's Republic of China.
Purpose: A considerable body of evidence indicated that interpersonal relationships were significantly associated with short-form video addiction (SFVA) among adolescents, but how they are related on a symptom level at different ages remains unclear. This study aimed to explore the central symptoms of SFVA and distinct associations between three primary interpersonal relationships (ie, teacher-student relationships, parent-child relationships, peer relationships) and SFVA symptoms in early and middle adolescence.
Participants And Methods: After completing scales of SFVA, teacher-student relationship, parent-child relationship and peer relationship in 2022, a sample of 1579 fourth-grade students (age range: 10-12; = 10.
J West Afr Coll Surg
August 2024
Department of Ophthalmology, Federal Teaching Hospital Owerri, Imo State, Nigeria.
Background: Colour vision defect (CVD) is a public health issue with approximately one in ten males exhibiting some form of colour deficiency. Colour is used extensively in education so CVD has a dramatic impact on the learning, educational and social potentials of children. Racial differences have been reported with higher values noted amongst people of European ancestry.
View Article and Find Full Text PDFFront Oncol
November 2024
Department of Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Purpose: This study aimed to develop and validate a model for accurately assessing the risk of distant metastases in patients with gastric cancer (GC).
Methods: A total of 301 patients (training cohort, n = 210; testing cohort, n = 91) with GC were retrospectively collected. Relevant clinical predictors were determined through the application of univariate and multivariate logistic regression analyses.
Background: Cancer remains a leading cause of mortality worldwide. A non-invasive screening solution was required for early diagnosis of cancer. Multi-cancer early detection (MCED) tests have been considered to address the challenge by simultaneously identifying multiple types of cancer within a single test using minimally invasive blood samples.
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