In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…

Cyberinfrastructure (CI) empowers the foundational computation resources underlying data analytics, spatial modeling, and many other domains serving the growing knowledge economy in the United States. In every part of these interactions with CI, questions of how to seamlessly integrate CI training into educational programs exist. In this article,…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

Teaching farms have recently gained popularity, but they are often expensive venues per student credit hour. It is therefore important they are used effectively. This research explored why faculty members use teaching farms, their goals and objectives with regard to the farm, and how they integrate teaching farms into curriculum. Twenty interviews…

The relationship between public education expenditures and student outcomes remains an important concern for policy analysts, educational administrators, and the public at large. While previous studies have failed to identify a consistent relationship between public investments in education and positive student outcomes, most analyses have not…

This paper reports on the use of QlikView business intelligence software for use in a Business Intelligence (BI) course within an undergraduate information systems program. The course provides students with concepts related to data warehousing, data mining, visualizations, and software tools to provide business intelligence solutions for decision…

Increasingly, early education, regardless of setting type, is considered to be an educational intervention that sets the stage for children's long-term school success. Accordingly, policymakers are focused on how to develop and support educators who have the skills and capacity to deliver high-quality programming to children. A pressing question…

The role and impact of diversity in higher education has permeated conversations about student access and achievement for many years. Language articulated by various courts suggests that higher education policies should reflect a broad conceptualisation of diversity beyond that of the magnitude and proportion of race and ethnicity, yet…

Purpose: Worldwide interest in principal instructional leadership has led to global dissemination of related research findings despite their concentration in a limited set of western cultural contexts. An urgent challenge in educational leadership and management lies in expanding the range of national settings for investigations of instructional…

This study attempts to reveal the process of teacher leadership (TL) and its implications for teacher education. Two rounds of interviews, including focus group interviews with six chosen schools in Taiwan, were conducted to reveal the process. It was found that the development of TL is a stretching process from the key leader to core members,…

In Ramsay curve item response theory (RC-IRT, Woods & Thissen, 2006) modeling, the shape of the latent trait distribution is estimated simultaneously with the item parameters. In its original implementation, RC-IRT is estimated via Bock and Aitkin's (1981) EM algorithm, which yields maximum marginal likelihood estimates. This method, however,…

This guide is designed as a reference for District and School personnel working with English learners (ELs). The content of the guide represents a compilation of information, examples, and resources. This guide is a living document and subject to frequent updates. It is recommended to review the document online rather than printing a hard copy.

Objectives: The objectives of this study were as follows: to present a concise overview of the sample, outcomes, determinants, non-response and attrition of the ongoing TRacking Adolescents' Individual Lives Survey (TRAILS), which started in 2001; to summarize a selection of recent findings on continuity, discontinuity, risk, and protective…