Background: One area that has been dramatically changed by artificial intelligence (AI) is educational environments. Chatbots, Recommender Systems, Adaptive Learning Systems and Large Language Models have been emerging as practical tools for facilitating learning. However, using such tools appropriately is challenging. In this regard, the…

This study conducted a comprehensive bibliometric and content analysis to explore the integration of artificial intelligence in students' cognitive learning outcomes. A structured TITLE-ABS-KEY search was performed in the Scopus database using keywords such as "Artificial Intelligence," "AI," "Students," and…

The positive manifold--the finding that cognitive ability measures demonstrate positive correlations with one another--has led to models of intelligence that include a general cognitive ability or general intelligence (g). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory…

Background: Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students' data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data…

Purpose: This study addresses a gap in the knowledge on how longitudinal engagement in a school improvement initiative influences change in middle leaders' (MLs') interactions and assesses how school-university partnerships around school improvement can support teachers with formal leadership roles (i.e. MLs') leadership development.…

Community-based courses, driven by connectivist learning theory, provide learners with a social environment that supports collaborative problem solving (CPS). The purpose of this study is to investigate the characteristics of potential collaborators before they engage in CPS. This study analyzed a community-based course, a cMOOC with a total of…

In this article we draw on actor-network theory (ANT) in order to challenge the methodological and empirical orthodoxies of anthropocentrism and interactionism that have long informed dominant discourses of ethnographic work. We use ANT to open new possibilities for understanding education as emergent in relational fields where non-human forces…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…

The complex dynamical systems (CDS) approach consists of a family of theories emanating largely from the exact sciences. These theories share a common focus on the behavior of systems and their interrelated parts and are concerned with the processes of stability, change, and unpredictability in those systems. This article takes stock of the…

We introduce applications of established methods in time-series and network analysis that we jointly apply here for the kinematic study "of gesture ensembles". We define a gesture ensemble as the set of gestures produced during discourse by a single person or a group of persons. Here we are interested in how gestures kinematically relate…

Standard models for network meta-analysis simultaneously estimate multiple relative treatment effects. In practice, after estimation, these multiple estimates usually pass through a formal or informal selection procedure, eg, when researchers draw conclusions about the effects of the best performing treatment in the network. In this paper, we…

The comprehensive training of future professionals is a fundamental objective of Higher Education. In this sense, cooperative learning, while contributing to learning, also favors the development of social competences that promote the social cohesion of the group or class. The objective of this research is to compare two class groups of Bachelor's…

The New Education movement was a remarkable coalition of national reform movements that emerged at the turn of the twentieth century. As a heterogeneous movement that was united only in its opposition to the schooling system at the time, its structure and boundaries in the UK have remained a matter of academic debate. This article implements the…

Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…

STEM education emphasizes improving student learning by linking abstract knowledge with real-world problems and engaging students in authentic projects to solve real-world problems. Accordingly, project-based learning has been widely promoted in STEM programs and has shown a promising impact on student learning. However, solving real-world…