Our article introduces the "Journal of Educational Data Mining's" Special Issue on Educational Data Mining on Motivation, Metacognition, and Self-Regulated Learning. We outline general research challenges for data mining researchers who conduct investigations in these areas, the potential of EDM to advance research in this area, and…

This paper is a narrative of our experience in analyzing and merging data files provided to us by the Education Quality and Accountability Office (EQAO). In the paper, we propose a scheme of merging data files by means of Structured Query Language (SQL, pronounced as "sequel"). Although, the narrative of our experiences using this…

Learning analytics is a relatively new field of inquiry and its precise meaning is both contested and fluid (Johnson, Smith, Willis, Levine & Haywood, 2011; LAK, n.d.). Ferguson (2012) suggests that the best working definition is that offered by the first Learning Analytics and Knowledge (LAK) conference: "the measurement, collection,…

Minimum sample sizes of about 200 to 250 per group are often recommended for differential item functioning (DIF) analyses. However, there are times when sample sizes for one or both groups of interest are smaller than 200 due to practical constraints. This study attempts to examine the performance of Simultaneous Item Bias Test (SIBTEST),…

With the development of PC, internet as well as mobile devices, we are facing a data exploding era. On one hand, more and more features can be collected to describe the data, making the size of the data descriptor larger and larger. On the other hand, the number of data itself explodes and can be collected from multiple resources. When the data…

In Study 1, 72 internet documents containing creationism, ID (intelligent design), or evolution content were selected for analysis. All instances of proof cognates (the word "proof" and related terms such as "proven", "disproof", etc.) contained within these documents were identified and labeled in terms of the manner in which the terms were used.…

Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…

Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…

This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…

Background: There is comparatively little published research that transparently charts the contribution of people with an intellectual disability to a collaborative research process. This paper illustrates the process of data analysis in a project located within the Emancipatory Disability Research (EDR) paradigm. Materials and Methods: Textual…

The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…

Since early childhood has become the focus of national and supranational political spaces, issues around teacher learning have also gained a firm position in the debates. This has seen the literature on teacher learning largely being positioned within a managerial/alternative dichotomy, arising from a resistance to technical-rationalist discourses…