Whilst there is plenty of debate on the nature and role of data in social science research, data in schools tend to be understood in terms of numbers and used in limited ways linked primarily to attainment. The 'datafication' of schooling has been strongly critiqued for its powerful impacts on policy and practice, pupils' experience, the…

Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…

Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…

Research reproducibility is essential for scientific development. Yet, rates of reproducibility are low. As increasingly more research relies on computers and software, efforts for improving reproducibility rates have focused on making research products digitally available, such as publishing analysis workflows as computer code, and raw and…

In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…

In this commentary on Van Leeuwen (2015, this issue), I explore the relation between theory and practice in learning analytics. Specifically, I caution against adhering to one specific theoretical doctrine while ignoring others, suggest deeper applications of cognitive load theory to understanding teaching with analytics tools, and comment on…

A curriculum map is a visualisation of relationships within and between a curriculum or curricula. Curriculum mapping refers to the method for creating and using the curriculum map, however this term is used broadly and encompasses a variety of methodological approaches. Often, researchers in the field of curriculum studies conduct curriculum…

Coding, the analytic task of assigning codes to nonnumeric data, is foundational to writing research. A rich discussion of methodological pluralism has established the foundational importance of systematicity in the task of coding, but less attention has been paid to the equally important commitment to language complexity. Addressing the interplay…

In recent years, learning process data have become increasingly easy to collect through computer-based learning environments. This has led to increased interest in the field of "learning analytics," which is concerned with leveraging learning process data in order to better understand, and ultimately to improve, teaching and learning. In…

In this paper we have discussed a novel method which has been developed for representation and retrieval of cases in case based reasoning (CBR) as a part of e-learning system which is based on various student features. In this approach we have integrated Artificial Neural Network (ANN) with Data mining (DM) and CBR. ANN is used to find the…

By using carefully constructed measurement scales that span grades, Measures of Academic Progress (MAP) interim assessments from Northwest Evaluation Association™ (NWEA™) offer educators efficient and very accurate estimates of student achievement status within a subject. Before achievement test scores can be useful to educators, however, they…

This article examines the reading of leveled books and the assessment of students' reading levels in a public school classroom. The purpose of the research study was to examine how these processes of assessment, which often go unnoticed, shaped the ways reading and readers were defined. The research was located in a third grade, public school…

States and school districts receive funding through ESEA, IDEA, and national school meals programs. Some requirements for these programs are intended to help ensure program integrity and transparency, among other purposes, but questions have been raised about whether some federal requirements place an undue burden on states and school districts.…

Lord (1980) proposed formulas that provide direct relationships between IRT discrimination and difficulty parameters and conventional item statistics. The purpose of the present study was to determine the robustness of the formulas beyond the initial and restrictive conditions identified by Lord. Simulation and real achievement data were employed.…

Over the past several years, educators have been exploring the potential of immersive interactive simulations, or video games for education, finding that games can support the development of disciplinary knowledge, systemic thinking, the production of complex multimodal digital artifacts, and participation in affinity spaces or sites of collective…