Higher education institutions often examine performance discrepancies of specific subgroups, such as students from underrepresented minority and first-generation backgrounds. An increase in educational technology and computational power has promoted research interest in using data mining tools to help identify groups of students who are…

The article shows the role of data mining methods at the stages of the e-learning risk management for the various participants. The article proves the e-learning system fundamentally contains heterogeneous information, for its processing it is not enough to use the methods of mathematical analysis but it is necessary to apply the new educational…

The increasing prevalence of learner-centred forms of learning as well as an increase in the number of learners actively participating on a wide range of digital platforms and devices give rise to an ever-increasing stream of learning data. Learning analytics (LA) can enable learners, teachers, and their institutions to better understand and…

With the introduction of a new initiative in a teaching and learning environment there is an ethical responsibility to consider whether the impact of the introduction has met its intended goals, and whether it has harmed those who are influenced by it. Technology and infrastructure developments have encouraged a continued growth in the development…

This article provides a critical review of school leaders' data-driven decision making (DDDM), drawing attention to the potential tension between DDDM and moral decision making. With mounting accountability in education, DDDM has been espoused as one of the core values in school leadership. Making a data-driven decision means that school leaders…

The aim of this research is to examine postgraduate thesis on mainstreaming education carried out in Turkey based on various variables. A total number of 200 postgraduate theses on mainstreaming education was obtained from Higher Education Council of Turkey. Data of the research were examined based on content analysis criteria including year of…

Without peer reviewers, the entire scholarly publishing system as we currently know it would collapse. However, as it currently stands, publishing is an extremely exploitative system, relative to other business models, in which trained and specialized labor is exploited, in the form of editors and peer reviewers, primarily by for-profit…

This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integrates insights from…

Focused reflection is teacher directed professional learning that uses ongoing formative assessment aligned with research-based instructional practices and standards. It allows teachers to operate as researchers and hold themselves accountable for what they are teaching and what students are learning. This article provides a table that outlines…

Between 1870 and 1920, the United States government produced a series of Statistical Atlases, representing the country's first attempts to provide a fully national perspective on its rapidly evolving physical and human geographies. Compiled once every 10 years using data from the U.S. Census and other sources, the Statistical Atlases offer views…

One challenge of collecting socioeconomic data, such as data on time-use, is recall biases. While time-use researchers have continuously developed new methods to make data collection more accurate and easy, these methods are difficult to use in developing countries, where study participants may have low literacy levels and no clock-based concepts…

Individual interviews have traditionally been an important method of data collection in multiple disciplines, including psychology. However, research comparing individual interviews with focus groups has generated mixed results regarding which method is more effective in investigating sensitive topics. The purpose of the present study was to…

This paper explores how data-driven practices and logics have come to reshape the possibilities by which the teaching profession, and teaching professionals, can be known and valued. Informed by the literature and theorising around educational performativity, the constitutive power of numbers, and affective responses to data, it shows how…

We present the results of an experimental project, made at the University of Calabria, which uses computer simulations and scientific computational systems in teaching and learning the fundamentals of analytic mechanics, in particular the classical Lagrangian and Hamiltonian formulation of the matter. Starting with examples of classical dynamical…

In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…