Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research…

Objective: Our objectives were to measure reporting differences between sexual behavior data from daily diary and retrospective estimates and to assess the utility of using smartphones to collect sexual behavior data from a college student population. Participants: Eighty-six participants (68 women, 18 men) completed the study. Methods: For…

The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

Work-integrated learning (WIL) involves employers and industry in education and training. In order to maximize benefits for all involved, sustainable and reciprocal processes are necessary. While institutions may have internal mechanisms to gather feedback from external partners, the feedback process often tends to be ad hoc. To inform the…

This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…

Information about the overall documentary filmmaking process is available; however, there is a lack of literature and educational resources about how to conduct subject research and data collection. As documentary filmmaking becomes an increasingly democratic endeavor due to technology, and information distribution and education use increases,…

This research examined articles about models and modelling in the context of science education in Turkey by using content analysis method. Two specific academic databases; one of which was Dergipark, a platform including the academic journals published in Turkey, and Scholar Google were examined in detail so that totally 71 articles on models and…

Statistical education is a very important area of research because it builds knowledge and promotes innovation in the courses of this discipline. Based on the advances in this area, changes in the content and approaches of the courses at all educational levels have been promoted in several countries. In this study, we examine programs of…

This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…

Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…

Following the outbreak of the COVID-19 pandemic, the delivery of face-to-face (F2F) therapeutic interventions and neuroimaging assessments for children with autism spectrum disorder has been disrupted. To resume interventions and assessments, many services are now using telehealth-based online platforms. Using the Zoom conferencing platform, our…

As the number of jobs in the science, technology, engineering, mathematics (STEM) workforce grows exponentially, there has never been a more important time to provide students with real-world learning opportunities that have 21st century implications. Measuring things that matter is a fundamental skill that formulates the backbone of many concepts…

A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.

Timely identification of children with disabilities is required by federal special education law (Individuals with Disabilities Education Improvement Act, 20 U.S.C. § 1400, 2004). During COVID-19, school psychologists have been faced with the challenge of completing valid, comprehensive, and diagnostic assessments when traditional methods are not…