Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
American Educational Research… | 1 |
Asia-Pacific Science Education | 1 |
IAFOR Journal of Education | 1 |
International Educational… | 1 |
Online Submission | 1 |
Research in Science Education | 1 |
Author
Carmo, Mafalda, Ed. | 1 |
Chen, Jiangping | 1 |
Cooper, Kristy S. | 1 |
Hong, Hun-Gi | 1 |
Hong, Jeehye | 1 |
Hu, Jie | 1 |
Kim, Hyunjung | 1 |
Mavrikis, Manolis, Ed. | 1 |
McLaren, Bruce M., Ed. | 1 |
Odendahl, Wolfgang | 1 |
Pardos, Zachary, Ed. | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Collected Works - Proceedings | 2 |
Books | 1 |
Education Level
Secondary Education | 5 |
Elementary Education | 2 |
Grade 6 | 2 |
Higher Education | 2 |
Intermediate Grades | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Postsecondary Education | 2 |
Elementary Secondary Education | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
More ▼ |
Audience
Location
Germany | 2 |
Australia | 1 |
Botswana | 1 |
California | 1 |
China | 1 |
Czech Republic | 1 |
Finland | 1 |
France | 1 |
Italy | 1 |
Mexico | 1 |
Russia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 6 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Hong, Jeehye; Kim, Hyunjung; Hong, Hun-Gi – Asia-Pacific Science Education, 2022
This study explored science-related variables that have an impact on the prediction of science achievement groups by applying the educational data mining (EDM) method of the random forest analysis to extract factors associated with students categorized in three different achievement groups (high, moderate, and low) in the Korean data from the 2015…
Descriptors: Science Achievement, Prediction, Teaching Methods, Science Teachers
Chen, Jiangping; Zhang, Yang; Wei, Yueer; Hu, Jie – Research in Science Education, 2021
Science excellence is associated not only with a student's inherent aptitude but also a range of contextual factors. The objective of this paper was to identify the most important contextual characteristics of top performers in scientific literacy, by simultaneously considering factors at the PISA questionnaire-based student, family, and school…
Descriptors: Scientific Literacy, Science Achievement, High Achievement, Foreign Countries
Odendahl, Wolfgang – IAFOR Journal of Education, 2017
After consistently bad results in every PISA test (Programme for International Student Assessment) and an accompanying prediction of lack of skills in its future workforce, Germany might be on track for losing out in international competition. Because of PISA's overwhelming marketing presence, its results are a major political influence. The OECD…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Eliciting Engagement in the High School Classroom: A Mixed-Methods Examination of Teaching Practices
Cooper, Kristy S. – American Educational Research Journal, 2014
This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…
Descriptors: Teaching Methods, High School Students, Learner Engagement, Regression (Statistics)
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
Stamper, 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