This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…

The retention of new teachers is a noteworthy issue among physical education teachers. One way to combat attrition is with the implementation of induction programs that have a strong emphasis on mentoring. Mentoring creates a "growth-in-connection" for the novice physical education teacher as well as the mentor. The relational cultural…

Teachers are not always aware of how the classroom design influences teaching, particularly in many family and consumer sciences (FCS) classes that require studio space, such as apparel and interior design classes. The purpose of this paper is to introduce strategies to assess studio spaces that are designed for enhancement of student learning.…

Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…

The Every Student Succeeds Act grants states new flexibility to create more balanced assessment systems with a greater role for formative assessment. Drawing on lessons learned over three decades of research and reform, we argue that state and local leaders should take the lead in designing new assessments guided by two core principles: First,…

Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature. Method: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in…

The U.S. education system is founded on the idea that students are in class every weekday; simply put, to benefit from school, a student must be in attendance. Nevertheless, many students miss school on a regular basis, thereby missing out on valuable instruction. Statistics on absenteeism among homeless students are particularly concerning, with…

Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…

Similar to many states, the Louisiana Department of Education (LDOE) does not mandate the use of specific literacy screening or progress monitoring tools. LDOE sought a measurement approach that resulted in accurate and reliable information on student progress and outcomes, yet respected local control. This state spotlight presents initial…

This year's annual report begins with good news from the 2024-25 AAUP Faculty Compensation Survey: Wage growth for full-time faculty members in US higher education exceeded inflation for the second consecutive year, following three consecutive years of declining real (inflation-adjusted) salaries. However, despite the positive trend over the last…

This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data…

Minoritized special education teachers of color often report feeling isolated in their work environments, affecting their sense of belonging and decision to stay in their positions. Although these teachers struggle with their identity in majority White workplaces, they are also often the only voice advocating for students of color eligible for…

The tools and techniques of corpus linguistics have many uses in language pedagogy, most directly with language teachers and learners searching and using corpora themselves. This is often associated with work by Tim Johns who used the term Data-Driven Learning (DDL) back in 1990. This paper examines the growing body of empirical research in DDL…

This article reports a pre-post comparative study investigating whether the data-driven learning (DDL) approach has different pedagogical effects on grammar students of English as a foreign language (EFL) with different levels of English proficiency. The study entailed a treatment group (TG) of 95 first-year undergraduates who learned grammar…