Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…

Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…

The spread of COVID-19 has caused major disruptions in the higher education space, and colleges and universities faced difficult decisions on how to reopen their campuses. At Indiana University Bloomington, student exposure to other students was reduced by leveraging the existing academic calendar and strategically managing course enrollment…

We present an exercise for teaching the transportation problem using a mix of spatial and randomly generated data. It illustrates the potential of using qualitative and quantitative data and is suitable for undergraduate or introductory business school courses on operations research (OR), logistics, and supply chain management. It poses two…

Learning technologies are now commonplace in education, and generate large volumes of educational data. Scholars have argued that analytics can and should be employed to optimize learning and learning environments. This article explores what is really meant by "analytics", describes the current best-known examples of institutional…

In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…

Regional Educational Laboratory Appalachia researchers developed the Cost-Feasibility Analysis (CFA) Toolkit to help education leaders estimate whether implementing supplemental online programs is affordable given a school or district's available resources. The CFA Toolkit guides users through a four-stage process that yields cost information that…

Nearly half of new teachers leave the profession within five years of employment, and most would not recommend teaching as a profession. A shortage of highly effective teachers continues in public schools across the nation; hence, meaningful professional development needs to be implemented to adequately prepare and retain teachers for the…

As heavy emphasis is placed on evidence-informed teaching to improve educational practice, developing educators' statistical literacy to facilitate data-driven decision-making becomes critical. However, there are few practical examples of how statistics can be taught to develop statistical literacy, especially in online courses. This article…

This publication is the fourth in a series of practical Cedefop skills anticipation guides for policymakers, analysts, and expert professionals. The three previous guides presented a rich mosaic of conventional and emerging methods for identifying technological change and its impact on skills. They assessed the merits and challenges of using…

In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…

This paper is an examination of the current state of blended and online learning throughout the K-12 world in the United States. The analysis is predicated upon the potential of electronically-mediated learning (e-learning) to effectively prepare students for the demands of 21st century citizenship through the affordances of such learning…

U.S. college students are a distinct population facing major challenges due to the COVID-19 pandemic. Before the pandemic, students were already experiencing substantial mental health concerns, putting both their health and academic success in jeopardy. College students now face increasing housing and food insecurity, financial hardships, a lack…