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Download full textNavarro-Martinez, Oscar; Peña-Acuña, Beatriz – Journal of New Approaches in Educational Research, 2022
In the last two decades, the great technological advances sweeping society have made inroads into the educational sphere. The use of information and communication technology and social networks has opened up new possibilities for student learning, which require appropriate treatment by family and teachers. This quantitative study takes a new…
Descriptors: Information Technology, Social Networks, Correlation, Academic Achievement
Direct linkTeig, Nani; Scherer, Ronny; Olsen, Rolf Vegar – International Journal of Science Education, 2022
A great number of studies have investigated science teaching and learning (STL) using data from the Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA). Nevertheless, there is little effort to synthesise these studies. Reviewing the status of research on STL, including the trends,…
Descriptors: Research Reports, Teaching Methods, Learning Processes, Science Instruction
Shala, Arif; Grajcevci, Albulene – Journal of Learning for Development, 2023
The current analysis aims to research the impact of ICT usage on students' achievement in the 2018 PISA assessment, specifically achievement in mathematics, science and reading scales. In this assessment, a total of 5,058 randomly selected students from 224 schools across Kosovo took part in the study. In addition, to the subscales assessing…
Descriptors: Internet, Academic Achievement, Foreign Countries, Achievement Tests
Pllana, Duli – World Journal of Education, 2022
Highschool homework as an integral part of the study skills benefits students' learning outcomes significantly. Consistency of completing homework contributes to rising scores in any given assignment such as quizzes, regular tests, standardized tests, etc. The purpose of homework aims at different targets and it is designed for specific groups and…
Descriptors: Homework, Learning Processes, High School Students, Study Skills
Xu, Binyan, Ed.; Zhu, Yan, Ed.; Lu, Xiaoli, Ed. – Research in Mathematics Education, 2021
This book seeks to illustrate the research on mathematics competencies and disposition in China according to the conceptual development and empirical investigation perspective. Mathematics education in China has a distinguishing feature a focus of attention to mathematical competency. Paradoxically, there has not been an explicit, refined, and…
Descriptors: Mathematics Skills, Mathematics Achievement, Mathematics Education, Evaluation Methods
Kocabas, Sezai; Ozfidan, Burhan; Burlbaw, Lynn M. – EURASIA Journal of Mathematics, Science and Technology Education, 2020
STEM education was a systematic teaching and/or learning process in the STEM fields and a positive correlation existed between STEM education, and the economic prosperity and power of a nation in the globalized world. In recent years, rising concerns have emerged about American STEM education. Many stakeholders wondered that whether the nation has…
Descriptors: STEM Education, Teacher Effectiveness, Teacher Qualifications, Correlation
Magen-Nagar, Noga – International Journal of Research in Education and Science, 2016
The purpose of the current study is to explore the effects of learning strategies on Mathematical Literacy (ML) of students in higher and lower achieving countries. To address this issue, the study utilizes PISA2002 data to conduct a multi-level analysis (HLM) of Hong Kong and Israel students. In PISA2002, Israel was rated 31st in Mathematics,…
Descriptors: Mathematics Skills, Learning Strategies, Mathematics Achievement, Cross Cultural Studies
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
