The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…

One of the greatest impacts of corpus linguistics on language teaching has been in the recognition of the importance of collocation. A very influential guide for language teachers with regard to teaching collocation has been the Lexical Approach. Activities pointing students to rich collocational information in monolingual dictionaries, in texts…

Library and information science experts around the globe are currently exploring ways of capitalizing student workflow data within library walls. Within this realm, the researchers designed and pilot-tested a user-driven lightweight application that envisions library as a crucial contributor of co-curricular data to learner profiles' contextual…

International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to…

We discuss methods that can improve response rates in large-scale cross-sectional and longitudinal studies. Regardless of the specific study topic, sample member population, or method of contact, data collections should be designed with certain core principles in mind: legitimizing the study to prospective participants; presenting study…

Previous research has emphasized the importance and potential of actively involving teachers in the design and implementation of educational technologies in schools. However, only a few studies have explored the development of methodologies for engaging teachers in the appropriation of digital technologies, as the increased digitalization of many…

Indigenous students, a subgroup of the Australian student population, produce poorer educational outcomes and continue to produce persistently lower attendance rates than non-Indigenous peers. Currently, governments collect and monitor student attendance as an indicator of students' educational achievement and a key performance measure of schools…

Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…

This paper presents a new model for citation analysis, applying new methodological approaches in citation studies. These methods are demonstrated by an analysis of cited references from publications by the Geological Sciences faculty at the University of Colorado Boulder. The author made use of simple Python scripting, the Web of Science API, and…

This paper explores the contradictions of 'doing' feminist research, and how the materiality of engaging in fieldwork magnifies the gap between 'ideal' versus 'actual' feminist ways of conducting research. Drawing on my Doctoral research with British-Pakistani mothers of children with SEND, I explore the ethical and methodological challenges of…

This paper critically examines the ways in which ClassDojo is altering the disciplinary landscape in schools through the datafication of discipline and student behaviour. ClassDojo is one of the most popular and successful educational technologies and is used internationally. It is a school-based social media platform that incorporates a gamified…

Informed consent may be unobtainable in online contexts. This article examines the difficulties of obtaining informed consent online through a Facebook case study. It is proposed that there are at least two ways informed consent could be waived in research: first, if the data are public, and second, if the data are textual. Accordingly, the…

The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and…

During the first year of life children are at the greatest risk for experiencing homelessness (Perlman & Fantuzzo, 2010). Unfortunately, data on the number of infants and toddlers experiencing homelessness are extremely limited, and any data available are inadequate for a variety of reasons. There is minimal information on how many young…

Purpose: The purpose of this paper is to describe how brief exercises in introductory and advanced marketing courses can help business students achieve a broader understanding of what Big data and data analytics mean in the workplace. These short analytics problems fit into the culture that we are building at our institution to create analytics…