School systems are increasingly incorporating student perceptions of teaching effectiveness into educator accountability systems. Using Tripod's 7Cs™ Framework of Teaching Effectiveness, this study examines key issues in validating student perception data for use in this manner. Analyses examine the internal structure of 7Cs scores and the extent…

Background/purpose: The current study aims to analyze the thematic structures and trends of scientific publications that examine the relationship between the COVID-19 pandemic and education, while presenting a roadmap for future research on this topic. Materials/methods: The data were obtained from the Web of Science Core Collection (WoSCC)…

In corequisite models of instruction, marginally prepared students are placed directly into college-level coursework, taught with a paired support course. Initial research suggests that such models yield significant improvements in the number of students passing credit-level mathematics when compared to previous models of prerequisite remediation.…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

Participation dashboards in online discussions are learning support tools that can have a positive effect on learners' learning outcomes and satisfaction levels, but their effectiveness differs according to how learners recognize and interpret them. However, there is a lack of research investigating the effectiveness of visualization methods…

Purpose: The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover. Design/methodology/approach: The authors construct several easy-to-interpret alluvial…

A cardinal rule of academic research with human participants is to protect their confidentiality. While there are limits to confidentiality, universities and researchers will make strenuous efforts to protect the identity of participants. This is especially important where they are at risk of serious harm if confidentiality is breached. Yet, some…

In this article, Susan Haarman discusses the ways in which datafication technologies such as Big Data and algorithms have the potential to either challenge or exacerbate what Miranda Fricker calls epistemic injustice. She briefly defines epistemic injustice using Fricker's subsets of testimonial and hermeneutical injustice before moving to the…

State leaders are grappling with generation-defining challenges as they work to fully understand and address the impact of the pandemic on students and communities. As leaders turn their attention to the upcoming school year, data continues to be a critical tool for informing recovery efforts. Data Quality Campaign's (DQC) 2021 public opinion…

Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies (LEAs) to certify eligible children for free meals without the need for household applications.…

Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…

Literacy is an essential life skill, and adolescents need strong literacy skills to succeed in secondary schools and beyond. Low literacy achievement in the middle grades puts students, particularly students with disabilities (SWD), at a disadvantage heading into high school and can lead to negative outcomes such as dropping out. The intention of…

Secondary analyses of international large-scale assessments (ILSA) commonly characterize relationships between variables of interest using correlations. However, the accuracy of correlation estimates is impaired by artefacts such as measurement error and clustering. Despite advancements in methodology, conventional correlation estimates or…