In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

In web surveys, no interviewer is present to clarify question comprehension problems, which can be particularly prevalent among respondents with low literacy skills. Although plain language is used in various contexts to improve text comprehensibility, its use in social science questionnaires has not been investigated to date. Using a…

Beyond informing human resources (HR) policies and practices, information gleaned from predictive analytics, visualized via dashboards, can increase awareness and prompt employee and management actions based on identified variables often related to intent to leave and employee wellness. While considerable research, relevant measurements, and tools…

The analysis of citation patterns in the scholarly landscape of data literacy using data collected from Scopus and analysed using Vosviewer reveals significant findings. Initially, 997 documents were identified, averaging 52 per year, but a criterion of 10 citations per document narrowed down the subset to 205 documents, indicating substantial…

Education research for practice is in need of textbook studies, especially those having well-defined theoretical framework. This paper is an attempt to apply phenomenography in textbook research. It begins with a review of four existing types of textbook studies found in the literature. Next, the main features of phenomenography (qualitative…

Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…

Preparing the new generation to be data-literate citizens is a pressing challenge, and some explorations have been made to cultivate K-12 students' data science skills and attitudes. However, there is a lack of instructional models to guide the design of data science programs in K-12 due to its complex and interdisciplinary nature as well as the…

Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…

Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…

Teachers often use open-ended questions to promote students' deeper understanding of the content. These questions are particularly useful in K-12 mathematics education, as they provide richer insights into students' problem-solving processes compared to closed-ended questions. However, they are also challenging to implement in educational…

The study addressed leadership knowledge sharing among elementary school principals. School principals' comments regarding difficulty sharing what they have learned on the job about leadership gave impetus to investigating components of leadership that are not readily shared. Their comments implied both limited opportunities and limited language…

Organisational success increasingly depends on data-driven decision-making, which is making data literate talent essential. However, building a data-literate workforce is challenging, as data literacy is complex, context-dependent, and varies across sectors. This study explores the challenges middle managers face in using data for decision-making…

This study investigated the process of instructional change required to translate data on student progress along learning trajectories (LTs) into relevant instructional modifications. Researchers conducted a professional development session on ratio LTs, which included analyzing 3 years of district-level data from Math-Mapper 6-8, a digital…

It is seen that the number of studies dealing with the values in children's literary products has been increased. Although there are many reviews on the studies concerning with value education, these reviews do not provide some significant details about these studies. This study has provided a content analysis of the studies on the values in…

The aim of the analysis is to present the role of school principals in supporting teachers' skillful use of information and communication technologies in education. The article presents the results of analysis of a fragment of data from a study carried out in 2017 as part of the research project devoted to the specificity of functioning of schools…