This study's main objective is to present bibliometric data on articles related to digital educational environments (DEEs) published in the journals indexed in Scopus database between 2003 and February 2023. The data collected from 61 articles published within the study's scope were subjected to bibliometric analysis based on six categories:…

The benefits of retrieval practice (practice testing) are pervasive across various materials, learning conditions, and criterial tasks, and consequently researchers and educators have enthusiastically recommended retrieval practice for educational applications. Less research has been devoted to examining the effect of combining retrieval practice…

The authors introduce readers to quantitative text analysis and its potential for analyzing text-based nonreactive measures as a means of broadening the evidential basis within research on giftedness and talent. After defining quantitative text analysis and describing how it can augment survey studies for analyses at individual and cultural…

Data mining (DM) is an in-depth approach to data analysis by mining useful information from large amounts of data, and this technique is now being used in an increasing number of fields. In this paper, the authors present the design of a real-time data analysis system for sports training based on DM technology and use the corresponding mining…

The demand for a creative workforce has never been higher, yet schools struggle to teach and assess creativity among students efficiently. Compositions are an effective way to incorporate creativity across the curriculum; however, essays are time consuming to evaluate for quality or creativity. This study explored (a) if high creativity scores are…

Previous screening studies conducted in leading educational technology journals have primarily been content analyses or systematic reviews; however, this article reports on a web scraping study through the keywords of the articles discussed in this study. An analysis was performed on the keywords of articles published between 2000 and 2018 in 14…

The problem addressed was that many college students face difficulty in retrieving relevant documents that satisfy their academic needs from web-based systems and digital libraries. The study purpose was to determine strategies that college students could employ to increase the relevance of materials retrieved via online search systems. The…

We conducted a bibliometric analysis of the scientific articles in the field of science education research within TPACK framework published between 2012 and 2021. In total, 910 articles published in science education and technological education journals were extracted from Scopus databases. This study aims to present a summary of science education…

Within LIS education, information organization (IO) and information retrieval (IR) are two well-established, foundational, and conceptually interlinked areas of study. They have long maintained a strong presence in the core curriculum, through either dedicated or combined courses. Recent trends in LIS education have seen a greater reliance on a…

Evidence-based practice in education is the implementation of research-supported teaching tools to enhance students' learning. Retrieval practice is among the top performing learning techniques in scientific literature, with decades of research supporting its incorporation in educational contexts. Testing enhances posterior performance of the…

Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

By the end of primary school, children are expected to acquire a range of mathematical skills that progressively develop. This study aimed to gain insight into how a large number of numerical and geometrical measures are grouped and whether the structures shift or remain invariant along child's development based on the data obtained from a sample…

This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…

Student learning outside the formal classroom is inextricably linked to informal learning environments. In many countries, most activities that employ informal learning prioritize the integration of science, technology, engineering, and mathematics (STEM) disciplines and have shown a positive impact on increasing students' interest, self-efficacy,…

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…