Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Background: Implementation quality is a significant factor in determining whether a program has its intended impact (Durlak and DuPre, 2008; List et al., 2021). Therefore, when studying a program's efficacy, researchers must ensure that the program is implemented as intended to estimate its impact. To evaluate whether a program is being…

One approach that has been gaining significant attention among chemistry education scholars and practitioners is the employment of game-based learning to teach least-learned and difficult topics at various educational levels. One reason for this is that it promotes active, constructive learning and makes learning science a fun experience through…

This study utilized latent profile analysis to categorize youth served by a public mental health setting into homogenous classes. Then, associations between class membership and meeting clinical criteria by the latest assessment were examined. Caregiver responses to the Ohio Scales, Short Form, Problem Severity Scale for 1090 youth completed at…

Reporting on a mixed methods study carried out in China, this article explores the impact of an educational initiative some years after delivery. Taking data from a three staged longitudinal study, this paper facilitates debate about the nature of Continuing Professional Development (CPD) delivered in a transnational context. To promote such…

Background/Context/Setting: In the wake of growing evidence regarding the negative impacts of suspension on student outcomes, states and school districts have implemented disciplinary reforms, restricting or eliminating the use of suspension for minor misbehaviors. Recent evaluations of these reforms suggest that they have the potential to…

Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance discovery, but they may be expensive to provide. In…

Awareness of students' learning status, and maintaining students' focus and attention during class are important issues in classroom management. Several observation instruments have been designed for human observers to document students' engagement in class, but the processes are time-consuming and laborious. Recently, with the development of…

The "DC:0-5[TM]: Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood" (DC:0-5) includes significant revisions, making it a substantially different diagnostic framework from its predecessor, DC:0-3R. The Nordic countries have a long history of using the DC system. The Nordic DC:0-5…

Previous activity classification studies have typically been performed on normal weight individuals. Therefore, it is unclear whether a generic classification algorithm could be developed that would perform consistently across individuals who fall within different BMI categories. Acceleration data were collected from the hip and ankle joints of 50…

Determining "when" and "whether" to provide personalized support is a well-known challenge called the assistance dilemma. A core problem in solving the assistance dilemma is the need to discover when students are unproductive so that the tutor can intervene. Such a task is particularly challenging for open-ended domains, even…

Studying abroad as part of a degree has become commonplace for many students in European and other developed countries. Universities actively promote opportunities as part of internationalization strategies. Whilst research has looked into the 'abroad' aspect of study abroad, there is less literature on the 'study' aspect, and in particular, the…

Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…