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Lestari, Laras; Mulyono; Syafari – Education Quarterly Reviews, 2019
The purpose of this study is to examine the effect of reciprocal peer tutoring strategy assisted by geogebra on students' mathematical communication ability reviewed from gender. The method in this study is the experimental method. The sample was consisted of 72 tenth grade students of SMAN 11 Medan and drawn using simple random sampling…
Descriptors: Peer Teaching, Cooperative Learning, Mathematics Instruction, Grade 10
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
Rowe, Emma – Discourse: Studies in the Cultural Politics of Education, 2019
This paper explores third-wave post-neoliberalism as an assemblage, fractured and dis/embodied, a mobile tool of governance articulated in various shapes across geopolitical sites. Post-neoliberalism is assembled alongside other key cultural shifts, such as post-truth, posthuman and the computational turn. In light of this Special Issue, this…
Descriptors: Social Systems, Neoliberalism, Governance, Educational Change
Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
Guzeller, Cem Oktay; Akin, Ayca – Turkish Online Journal of Educational Technology - TOJET, 2014
The purpose of this study is to determine the predicting power of mathematics achievement from ICT variables including the Internet/entertainment use (IEU), program/software use (PRGUSE), confidence in internet tasks (INTCONF) and confidence in ICT high level tasks (HIGHCONF) based on PISA 2006 data. This study indicates that the ICT variables…
Descriptors: Mathematics Achievement, Computer Use, Internet, Information Technology
Ranguelov, Stanislav; Horvath, Anna; Dalferth, Simon; Noorani, Sogol – Education, Audiovisual and Culture Executive Agency, European Commission, 2011
This report on Key Data on Learning and Innovation through ICT at School in Europe 2011 builds on the previous Eurydice publications on information and communication technology in schools in Europe. It also aims to extend the theoretical framework by looking not only at the teaching and learning of ICT but also at the use of ICT to promote…
Descriptors: Educational Technology, Information Technology, Educational Innovation, Teaching Methods
Papanastasiou, Elena C. – Research in Science & Technological Education, 2003
The purpose of this study was to examine how variables related to computer availability, computer comfort and educational software are associated with higher or lower levels of science literacy in the USA, Finland and Mexico, after controlling for the socio-economic status of the students. The analyses for this study were based on a series of…
Descriptors: Foreign Countries, Computers, Educational Technology, Computer Uses in 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