Since the existing literature on the impact of early alert systems (EAS) focuses on four-year institutions, we lack widespread understanding of EAS effectiveness for community college students. In addition, very few studies evaluate racial equity implications for EAS, which makes it challenging for community college leaders to translate results to…

The book provides a grounded, narrative exploration of contemporary qualitative PhD research in the fields of language education and applied linguistics. The chapters are authored by current and former PhD candidates studying in New Zealand, with commentaries from international experts in the field. The book contains ten chapters in addition to…

Using two paired datasets from the Head Start Program Information Report and Migrant and Seasonal Head Start (MSHS) Study, this study explored disparities in program rates of screening, referral, and identification for early intervention between MSHS and Head Start programs, as well as associations between MSHS teacher ratings of children's…

GeoHumanities is an interdisciplinary field, which combines geography, arts, and humanities. At the intersection of these three disciplines, GeoHumanities' purpose is to use space, place, landscape, and environment to tell the stories of cultures, nature, and heritage of various ethnic groups. The GeoHumanities Forum at the Royal Holloway…

Teaching labs at the undergraduate level poses unique challenges to a school system forced online by COVID-19. We adapted physiology laboratories typically taught in-person to an online-only format, allowing students to measure personal health data alone. Students used available technology and low-cost devices for measuring respiratory and…

This case study explains how to gather web metrics to measure the size, investment, and popularity of K-12 school system and higher education websites. This case study will first explain and define web metrics in detail, such as keywords, traffic, search engine optimization, and other terminology crucial for educational researchers to understand…

This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…

Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Grade retention, the practice of holding a student back in the same grade, has been a controversial topic in the United States for decades. English learners, a growing population in US schools, are consistently identified for grade retention more often than their English-only counterparts. The purpose of this study is to test the impact of grade…

Purpose: A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food-energy-water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP,…

This paper describes the integration of geographic information system (GIS) technology in a high school environmental science classroom, specifically examining the impact of GIS technology on student engagement, critical thinking, and interdisciplinary learning for Education for Sustainability (EfS). This environmental science classroom utilized…

The dataset includes data from 1699 higher education students from two Slovenian universities. Among those participants were also 56 students with special educational needs (SEN). Students were enrolled in all study fields and levels. The study aimed to measure the use of online learning resources (OLRs) among higher education students and…

Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…

This paper outlines the journey of one Scottish primary school in taking nurturing approaches forward over a 5-year period, with the aims of improving staff understanding of their role and feeling skilled in using nurturing approaches and improving pupil's health and well-being and confidence. Using an action research methodology and the local…