This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…

English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…

Background: NHS case note data are a potential source of practice-based evidence which could be used to investigate the effectiveness of different interventions for individuals with a range of speech, language and communication needs. Consistency in pre- and post-intervention data as well as the collection of relevant variables would need to be…

This study analyzed the fit of data collected with the Measure of Engagement, Independence, and Social Relationships for 3- to 5-year-olds (MEISR 3-to-5-years-old) to a proposed theoretical model based on the cross-walk of MEISR 3-to-5-years-old items and codes from 7 chapters of the Activities and Participation component of the International…

This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…

Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…

Using the policy narrative framework, this article examines the pathways through which the development of policies (related to rural/small towns young NEETs in various EU countries) are based on evidence. To do this, we consider the Youth Guarantee (YG), an EU program (2014-2020) developed in several member countries with the aim of…

Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

This research was commissioned as part of Inclusive Britain, the government response to the Commission on Race and Ethnic Disparities (CRED). The research sought to answer three main questions: (1) Where schools and trusts have closed attainment gaps between pupils from different ethnic groups, has this been the result of a deliberate strategy…

The use of data in schools may contribute to reducing educational and social inequalities. This article seeks to examine the use of data in school intervention programs implemented within vulnerable schools in Chile and the transfer and use of this data by schools. Utilizing an exploratory descriptive multiple case study design. Results indicate…

Despite the widespread adoption of data-based decision making (DBDM) policies in schools around the world, there is limited understanding of how teachers use DBDM in K-12 classrooms and the impact of DBDM training on teacher practices and student outcomes. This scoping review aims to provide an overview of the existing literature on the uses of…

This study examines the levels of Media and Information Literacy (MIL) among underprivileged communities, shedding light on their digital literacy and online behaviour. Rooted in the UNESCO Media and Information Literacy framework, focusing on specific dimensions of MIL, with an emphasis on assessing the ability to retrieve, critically evaluate,…

In November 2017, Scottish Ministers tasked a short life working group to develop a more consistent national approach to recording and monitoring incidents of bullying in schools. The group identified the Bullying and Equalities Module (BEM) within the SEEMiS system as the most appropriate tool for schools and local authorities to use to record…

The current situation due to the COVID-19 pandemic has had huge consequences in all aspects of our lives, including the development of research activities. Studies involving face-to-face interaction with people, such as randomized controlled trials, were the first affected. The objective of this article is to present the insights on challenges…

Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…