In this article Philip Henry, now in semi-retirement, reflects on the last 50 years of his career in United Kingdom higher education and the changes that ensued during this time. Over the span of his career he had the opportunity to experience a wide range of institutions in all of the U.K. university mission groups and in a range of positions…

Although missing data are often viewed as a challenge for applied researchers, in fact missing data can be highly beneficial. Specifically, when the amount of missing data on specific variables is carefully controlled, a balance can be struck between statistical power and research costs. This article presents the issue of planned missing data by…

The data landscape study at Virginia Tech addresses the changing modes of faculty scholarship and supports the development of a user-centric data infrastructure, management, and curation system. The study investigates faculty researchers' current practices in organizing, describing, and preserving data and the emerging needs for services and…

Understanding factors associated with consent for data linkage has largely focussed on adults, but parents or guardians can also be asked to consent on behalf of children for whom they are responsible. A framework for consent decision is presented, and is tested using a large nationally representative survey asking mothers to consent for both…

The Oregon Department of Education (ODE) partnered with 15 elementary schools to obtain and analyze student-level daily attendance records for 6,390 students. Schools ranged in size from just over 100 students to more than 600 students. Geographic locations also varied with 4 schools located in a city, 4 in a suburb, 4 in a town, and 3 in a rural…

Online learning is one of the most important and well-established machine learning models. Generally speaking, the goal of online learning is to make a sequence of accurate predictions "on the fly," given some information of the correct answers to previous prediction tasks. Online learning has been extensively studied in recent years,…

Predicting overall student performance and monitoring progress have attracted more attention in the past five years than before. Demographic data, high school grades and test result constitute much of the data used for building prediction models. This study demonstrates how data from a peer-assessment environment can be used to build student…

Graph data such as argument diagrams has become increasingly common in EDM. Augmented Graph Grammars are a robust rule formalism for graphs. Prior research has shown that hand-authored graph grammars can be used to automatically grade student-produced argument diagrams. But hand-authored rules can be time consuming and expensive to produce, and…

With the advent of virtualization and Infrastructure-as-a-Service (IaaS), the broader scientific computing community is considering the use of clouds for their scientific computing needs. This is due to the relative scalability, ease of use, advanced user environment customization abilities, and the many novel computing paradigms available for…

In this case study, the research methods used to collect data from school-based populations online, by postal survey and in a face-to-face setting are examined. While the online context provides a great opportunity for data collection with relative ease, it also presents a number of challenges for researchers. Online data collection offers the…

The learning sequence described in this article was developed to provide students with a demonstration of the development of box plots from authentic data as an illustration of the advantages gained from using multiple forms of data representation. The sequence follows an authentic process that starts with a problem to which data representations…

This paper briefly outlines three initiatives that the University of Toronto (U of T) Faculty of Applied Science and Engineering (FASE) has implemented as initial steps as the institution strives to be anti-racist and address Black inclusivity. These initiatives were based within K-12 outreach, race-based data collection and creating opportunities…

Propelled by accountability policies, leaders have touted data-driven decision making as a means to improve K-12 student outcomes and drive equity, as teachers analyze data to change instruction. However, many data-driven decision-making reforms have failed to challenge inequity. Melanie Bertrand and Julie Marsh's study of six middle schools shows…

This paper was developed within the scope of a PhD thesis that intends to characterize the use of mobile applications by the students of the University of Aveiro during class time. The main purpose of this paper is to present the results of an initial pilot study that aimed to fine-tune data collection methods in order to gather data that…

Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…