The accuracy of learning results relies on the evaluation and assessment. The learning goals, including problem solving ability must be aligned with the valid standardized measurement tools. The study on exploring the nature of problem-solving, framework, and assessment in the Indonesian context will make contributions to problem solving…

Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…

Solving non-routine problems is a key competence in a world full of changes, uncertainty and surprise where we strive to achieve so many ambitious goals. But the world is also full of solutions because of the extraordinary competences of humans who search for and find them. We must explore the world around us in a thoughtful way, acquire knowledge…

Purpose: The purpose of this paper is to develop a framework for reconceptualising research on school autonomy to redress the limitations of traditional research, strengthen the conceptual links between school autonomy and learning outcomes and offer a range of new strategies for studying the interplay of school autonomy, leadership and learning.…

Expanding numbers of researchers are focusing on the scale and impact of private supplementary tutoring. Such tutoring is widely called shadow education, since much of its curriculum mimics that of regular schooling. Although shadow education has expanded significantly worldwide and is now recognized to have far-reaching significance, research…

The Programme for International Student Assessment (PISA) was designed by the Organization for Economic Cooperation and Development (OECD) to evaluate the quality, equity, and efficiency of school systems around the world. Specifically, the PISA has assessed 15-year-old students' reading, mathematics, and science literacy on a 3-year cycle, since…

In this article, the authors review International Large-Scale Assessment (ILSA)-based research over the last several decades, with specific attention on cross-national analysis of mean differences between and variation within countries in mathematics education. They discuss the role of sampling design and "opportunity to learn" (OTL)…

To help researchers understand potential issues one can encounter when conducting propensity matching studies in complex settings, this paper describes methodological complications faced when studying schools using deeper learning practices to improve college and career readiness. The study uses data from high schools located in six districts…

Research on globalization and education involves the study of intertwined worldwide discourses, processes, and institutions affecting local educational practices and policies. The four major theoretical perspectives concerning globalization and education are world culture, world systems, postcolonial, and culturalist. The major global educational…

The recent releases of two major international comparative studies that addressed mathematics--the Trends in International Mathematics and Science Study 2003 (TIMSS 2003) and the Program for International Student Assessment 2003 (PISA 2003)--provide opportunities and challenges for mathematics education researchers interested in using the…

The first volume of the 29th annual conference of the International Group for the Psychology of Mathematics Education contains plenary lecture and research forum papers as listed below. Short oral communications papers, poster presentations, brief summaries of discussion groups, and working sessions are also included in the volume. The plenary…

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…