The importance of children's perspectives is now well-established and there has been much attention afforded to appropriate methods for listening to children within the research. Whilst language-based research methods, such as interview, remain commonplace, children's representations are increasingly included as data in educational research.…

This article explores the landscape of artful research in higher education through a critical qualitative content analysis of articles published in 41 higher education journals between 2000 and 2020. An analysis of 218 articles published over a 20-year period found (a) a steady increase in artful approaches to inquiry over time, across all tiers…

An important skill in the modern workplace is the ability to learn new skills. However, students are ill-prepared for such self-directed requirements, as changes in academic curricula are typically outpaced by technological developments. To contribute to the efforts of educators to prepare students, this study adopts an experiential learning…

The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries--Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both…

While there have been significant developments in the field of inclusive research with people with learning disabilities, there is limited knowledge about the ways inclusive research teams have conducted participatory data analysis. The authors argue this is inherently tied to the sensitivities involved in the inclusive research process. In this…

Recent developments in human-computer interaction technologies raised the attention towards gamification techniques, that can be defined as using game elements in a non-gaming context. Furthermore, advancement in machine learning (ML) methods and its potential to enhance other technologies, resulted in the inception of a new era where ML and…

Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has focused on identifying a set of relevant features prior to model development and quantifying the stability…

Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…

The authors of this paper applied a new approach combining text mining and principal component analysis (PCA) to objectively determine the actual state of regional COVID-19 strategy meetings and verified its utility. The authors used text mining to analyze meeting minutes and extracted words with high phase ubiquity by co-occurrence analysis.…

A digital learning-teaching environment is introduced in which undergraduate students are challenged to connect the basic physical concepts of oscillation, buoyancy and data analysis via an authentic experiment. The damped oscillation of a cylindrical body swimming upright in water is measured via the MEMS acceleration sensor of a wireless MCU…

Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…

Although "free tuition" programs are politically popular, some worry that these programs will exacerbate inequity. Scholars note that program outcomes depend on implementation, but few have probed the contextual conditions that contribute to differences in implementation or the consequences of implementation for equity. To address this…

This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…

Choosing a major field of study is important, and so is the selection of a specialized concentration that is aligned with an individual's career aspirations. In this paper, we explore a relatively newer concentration in the area of business, namely business analytics. The field of analytics has seen a rapid growth in recent years and enrollment in…

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in…