This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…

Educational assessment is a process of collecting evidence and interpreting it to provide instructors with information regarding students' learning. However, the current design and scoring of most standardized educational tests are insufficient to serve this purpose. The limitation exists primarily due to the lack of cognitive information…

Purpose: Based on a selective bibliography, the purpose of this paper is to provide an overview of ongoing changes among European postgraduate education, while at the same time offering a theoretical framework for interpreting the observations. Design/methodology/approach: A selected range of published works (1977-2002), based on solid empirical…

A supports classification and assessment system is required in residential settings that enables accurate classification and resource allocation in the context of limited resources. In developing such a system, the American Association on Mental Retardation intensities of supports framework was used and consultation with all stakeholders resulted…

The exploratory and secondary phases of the "Organisation for Economic Cooperation and Development (OECD) project to develop a set of international indicators based on comparable educational data is described in this report. Voluntary networks in 24 OECD member countries are developing a cohesive conceptual framework based on a review of…

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…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…