Multiple perspectives on geographical thinking are lacking in the teaching of climate change in school geography. This study establishes an epistemic model through a co-construction design to support geography teachers' curriculum making with respect to climate change. We developed the preliminary model with four main geographical perspectives,…

Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a disconnection between how the cohort effect is conceptualized and how it is modeled in the traditional…

In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…

Machine learning has achieved state-of-the-art performance in many areas, including image recognition and natural language processing. However, there are still many challenges and mysteries attracting numerous researchers. This dissertation comprises a series of works concerning problems at the intersection of computer science theory, adversarial…

Outside of a specialist literature, the study of violence occupies a marginal position within comparative and international education scholarship. A key contributing factor is the absence of a holistic conceptual framework that can capture the nature, extent and causes of violence in education. The article proposes such a framework, by updating…

Researchers have become increasingly interested in the potential use of agent-based modelling for the prediction of social phenomena, motivated by the desire, first, to further cement the method's scientific status and, second, to participate in other scenarios, particularly in the aid of decision-making. This article contributes to the current…

The question of what the research of lifelong education is all about needs to be revisited from time to time. Not only is this line of research approached from a multitude of academic disciplines -- such as sociology, psychology or philosophy -- the very concepts that are used to denote the field also undergo important changes over time, e.g. from…

In community interventions more generally, the concept of fidelity refers to the degree to which a program is delivered as intended. The present paper discusses ways in which fundamental aspects of participatory research challenge the concept of fidelity and differ from more traditional science-dominated approaches. We begin with a discussion of…

Advanced modeling of item response data through the item response theory (IRT) or item factor analysis frameworks is becoming increasingly popular. In the social and behavioral sciences, the underlying structure of tests/assessments is often multidimensional (i.e., more than 1 latent variable/construct is represented in the items). This review…

The paradigm on which a methodological approach is developed determines the situations in which its application will be most appropriate. The quantitative approach implies a positivist paradigm, the basis of which is cause-and-effect relationships, as well as the questioning and verifying of existing theories. Positivism aims to prove that…

Purpose: The study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the economy, employment in accordance with the field of study and job satisfaction. The research explores the employment outcomes of graduates from Jagiellonian…

This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…

Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…

This research examined both the relationship and the effects of learning styles and student engagement at three selected "Universiti Teknologi MARA," (UiTM) Malaysia state campuses using the VARK learning style model. The effects of students' learning styles and their relationships to classroom engagement were analyzed. Three categories…

Big data analytics are prevalent in fields like business, engineering, public health, and the physical sciences, but social scientists are slower than their peers in other fields in adopting this new methodology. One major reason for this is that traditional statistical procedures are typically not suitable for the analysis of large and complex…