The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…

Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…

Progress monitoring data are central to making informed decisions on intervention intensification for struggling learners. The general outcome measure (GOM) of curriculum-based measurement of oral reading fluency (CBM-R) has been found to correlate with high-stakes assessment; however, data are highly variable, resulting in decisions that must be…

In the context of Artificial Intelligence, Generative Adversarial Nets (GANs) allow the creation and reproduction of artificial data from real datasets. The aims of this work are to seek to verify the equivalence of synthetic data with real data and to verify the possibilities of GAN in educational research. The research methodology begins with…

This paper describes a randomized and controlled efficacy study conducted in high school biology classrooms across the USA. In this study, teachers implemented the use of Data Nuggets, activities designed to bring real research and data into the classroom. These materials can be embedded within the existing instructional modality of any given…

Why do I work? Despite instructors' best efforts, students struggle to understand how different people answer this question differently. This exercise enables students to explore what motivates them in comparison to their peers and previous generations while reinforcing the distinction between intrinsic and extrinsic motivation. Students…

High-quality systematic literature reviews provide a systematic process for identifying, synthesizing, and critiquing multiple studies and, in turn, inform theory, research, practice, and policy. With a focus on special education systematic reviews, we propose four core principles (i.e., coherence, contextualization, generativity, and…

During the course of undergraduate studies, physiology (and related STEM) majors should acquire a both broad and in-depth foundation in physiological knowledge along with a distinct range of transferable (professional) skills (e.g., critical thinking, communication skills, data analysis). Previously, through a consultative and iterative process…

The influence of digitalisation on society and the workplace require stakeholders in school development to incorporate digital competencies into school curricula. This study examines the occurrence of digital components in 831 curricula of the vocational schools in Baden-Württemberg, Germany with a text mining approach and the analysis of keywords…

In this article, we present a (co)reflexive analysis of the multiple adaptations of an English as a Second Language reading curriculum for primary students in Hong Kong during the COVID-19 pandemic through our partnership as a practitioner-researcher and an external researcher. Adopting the principles of interactional ethnography, we examined the…

Prior research suggests that families prefer schools with higher test scores, shorter distances from home, and certain student demographics. We build on this using data from New Orleans, a context well suited to identification of parent preferences because of its deferred acceptance algorithm and extensive, standardized, and broadly accessible…

Purpose: The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR)…

Several studies compared three different types of questions (conceptual, algorithmic, and graphical) across various topics, however, few focused specifically on gifted students. This study addressed this gap. The aim of the study, hence, was to determine whether there were notable differences in gifted students' performance in the three types of…