The goal of this study is to better understand how methods for estimating treatment effects of latent groups operate. In particular, the authors identify where violations of assumptions can lead to biased estimates, and explore how covariates can be critical in the estimation process. For each set of approaches, the authors first review the…

Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…

Purpose: Various economic growth theories propose a view of globalisation resulting in economic convergence. However, others suggest economic divergence (i.e. a widening gap between global rich and poor) and others still, different patterns of development. Hence it is necessary to validate such globalisation hypotheses with sound quantitative…

This article seeks to answer the following questions: (1) What is keeping educators from moving districts and schools to high-performing data cultures? and (2) What vital role does leadership play? Three years ago, as a senior designer and facilitator, Jennifer Unger developed a data leadership academy to address challenges for leaders, whether…

The introduction of a planetary science topic into teaching provides an opportunity for teachers to broaden the science base and offer an enrichment activity outside the National Curriculum. It enables students to undertake independent learning by engaging in a scientific investigation relevant to the real world. Here, more able students are given…

Using effective assessment techniques can improve an instructor's understanding of student needs and support learner-centered classrooms. Evaluating student learning takes on a new meaning in online classroom environment where students and instructors do not share physical proximity. According to Garrison (2011), the assessment strategies used to…

This paper examines the role of Big Data Analytics in addressing contemporary challenges associated with current changes in institutions of higher education. The paper first explores the potential of Big Data Analytics to support instructors, students and policy analysts to make better evidence based decisions. Secondly, the paper presents an…

The growing ubiquity of the Internet has changed the way we conduct many of our meaningful activities, occupations, today. Despite the changes in technology, human needs haven't changed as radically, we still need connection, involvement, information and avenues of expression, but what has changed are the myriad ways in which we do those things.…

Communicating via text-only computer-mediated communication (CMC) channels is associated with a number of issues that would impair users in achieving dialogue coherence and goals. It has been suggested that humans have devised novel adaptive strategies to deal with those issues. However, it could be that humans rely on "classic"…

Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…

Gender-matched role models are often proposed as a mechanism to increase identification with science among girls, with the ultimate aim of broadening participation in science. While there is a great deal of evidence suggesting that role models can be effective, there is mixed support in the literature for the importance of gender matching. We used…

This comprehensive volume offers a snapshot profile of every public school district in the United States serving 1,500 or more students and provides pertinent evaluative and demographic statistics necessary to evaluate educational programs nationwide. This edition includes profiles on 5,797 school districts in the United States, representing 90%…

The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…

The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…

Learning in data-rich environments has been a focus of learning sciences research since the inception of the field, with increasing interest in the ways learners "narrate data." This article examines the narration of data from the perspective of "learning on the move," identifying mobilities of data, and of the narratives in…