Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 6 |
Descriptor
Source
| Educational Research and… | 1 |
| International Journal of… | 1 |
| International Journal of… | 1 |
| International Journal of… | 1 |
| Journal of Psychoeducational… | 1 |
| Online Submission | 1 |
Author
| Aksu, Gökhan | 1 |
| Chung Hyewon | 1 |
| Eser, Mehmet Taha | 1 |
| Gabriel, Florence | 1 |
| Güzeller, Cem Oktay | 1 |
| He, Jia | 1 |
| Jung, Eunjin | 1 |
| Kim, Jung-In | 1 |
| Kulikova, Alena | 1 |
| Lorié, William A. | 1 |
| Park, Soyoung | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 5 |
| Tests/Questionnaires | 1 |
Education Level
| Secondary Education | 5 |
Audience
Location
| Australia | 1 |
| Brazil | 1 |
| South Korea | 1 |
| Turkey | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 6 |
| Beck Depression Inventory | 1 |
| Eysenck Personality Inventory | 1 |
| Raven Progressive Matrices | 1 |
| Rosenberg Self Esteem Scale | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Pedro San Martin Soares – Journal of Psychoeducational Assessment, 2024
Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, International Assessment
Chung Hyewon; Kim, Jung-In; Jung, Eunjin; Park, Soyoung – International Journal of Educational Psychology, 2022
The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds' academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a…
Descriptors: Comparative Education, Predictor Variables, Literacy, Life Satisfaction
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
He, Jia; Van de Vijver, Fons J. R.; Kulikova, Alena – Educational Research and Evaluation, 2017
Linking country-level educational achievement with other country-level indicators has the potential to drive systemic educational changes, as these correlates may reflect characteristics relevant for policy-making decisions to improve educational effectiveness. This study establishes a nomological network of educational achievement at the country…
Descriptors: Correlation, Academic Achievement, Self Esteem, Achievement Tests
Lorié, William A. – Online Submission, 2013
A reverse engineering approach to automatic item generation (AIG) was applied to a figure-based publicly released test item from the Organisation for Economic Cooperation and Development (OECD) Programme for International Student Assessment (PISA) mathematical literacy cognitive instrument as part of a proof of concept. The author created an item…
Descriptors: Numeracy, Mathematical Concepts, Mathematical Logic, Difficulty Level

Peer reviewed
Direct link
