Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…

The educational game industry struggles from a lack of standardization around collecting, analyzing and managing student learning data, which is potentially jeopardizing millions of dollars of investment in educational games. Investors, administrators, and educators require data to support quantitative and qualitative learning measurement in…

Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…

Mathematics classrooms are increasingly becoming sites for investigating social (in)justice, but research on teaching mathematics for social justice remains limited to individual case studies. This article reports on a metasynthesis of 35 qualitative reports of social justice mathematics enactments in diverse classroom contexts. Critical race…

In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…

Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…

Academic outcomes and health outcomes are interconnected and reciprocal and school climate has emerged as a way to capture some of this relationship. An increasing trend in education policy is using multiple measures of school success, including school climate, such as California's Local Control Funding Formula (LCFF). As school climate evolves as…

Have you ever imagined yourself as a teacher leader but were not quite sure whether you really had--or could develop--the necessary skills? Have you wondered what the first steps toward becoming a teacher leader might be, what kinds of approaches work best, and how you could overcome the inevitable challenges that come with leading your colleagues…

This popular text, now in its fifth edition, provides step-by-step guidance for new and experienced researchers who want to use interviewing as a research method. This user-friendly guide explains the rationale for interviewing and the complexity of selecting interview participants, important interviewing techniques, and how to work with the…

Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…

This work aims to characterize students' writing processes using keystroke logs and understand how the extracted characteristics influence the text quality at specific moments of writing. Earlier works have proposed predictive models characterizing students' writing processes and mainly rely on distribution-based measures of pauses obtained from…

One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

Drawing on a realist synthesis approach, this review identified qualitative data collection approaches that inform "first-person" lived experience in autism spectrum disorder (ASD) across phenotypic expression. It further drew upon methodologic approaches used in other conditions that similarly represent individuals with impaired verbal…

This handbook has been conceived as a guide for young researchers embarking on the exciting journey of investigating different aspects of plurilingual education. The text can also serve to review ideas previously encountered, and perhaps as a means of interrogating research methodologies in plurilingual contexts for those who already have ample…

Amid efforts to address the ongoing crisis of high costs, high debt burdens, and decreasing confidence in the value of higher education, TICAS [The Institute for College Access & Success] commissioned leading academics to write a series of papers to inform the policy conversation about how to implement effective, equitable, and sustainable…