Predicting students' performance in advance could help assist the learning process; if "at-risk" students can be identified early on, educators can provide them with the necessary educational support. Despite this potential advantage, the technology for predicting students' performance has not been widely used in education due to…

In an effort to enhance the quality of early childhood education (ECE) at scale, nearly all U.S. states have recently adopted Quality Rating and Improvement Systems (QRIS). These accountability systems give providers and parents information about program quality and create both reputational and financial incentives for program improvement.…

Prior research on environmental and sustainability education policies has largely focused on the international to national policy uptake. This article explores such policies at the subnational level in a fragmented education system. Over the past two decades, a growing number of school districts in the United States have enacted…

This study investigated the correlation and predictive capacity of verbal working memory (VWM) to the reading comprehension of children in their first language (L1) and second language (L2). The term verbal working memory refers to a cognitive system with a limited capacity that can hold and manipulate verbal and auditory information temporarily.…

Current consensus holds that blended learning offers students many advantages such as improving their learning outcomes and attitude toward the study of statistics. However, its effect on non-statistics students' performance in a one-semester introductory course has not been widely studied. This study explored the effect of the blended…

Among information systems, mobile learning systems are acknowledged for the exponential growth in recent years into education sector specifically in the higher education learning institutions. Mobile learning systems are viewed as a kind of information system, which universities use to better serve their students efficiently and effectively in…

This research examined the perceived data literacy skills of middle and senior-level administrators in a community college system in relation to leadership competencies. This study sought to determine if the independent variable, administrator type (manager, executive, or chief operating officer), relates to the perceived data literacy skills…

The article explores the problem of introducing resource-based learning (RBL) in higher education institutions as a holistic dynamic process of organizing and stimulating the independent cognitive activity of students for mastering the skills of the active transformation of the information environment, which involves the optimal use of the triad…

This mixed research analyzes the use of the Collaborative Wall to improve the teaching-learning conditions in the Bachelor of Visual Arts considering data science and machine learning (linear regression). The sample is made up of 46 students who took the Geometric Representation Systems course at the National Autonomous University of Mexico (UNAM)…

The Early Intervention Parenting Partnerships (EIPP) program is a home visiting program that provides home visits, group services, assessments and screenings, and referrals delivered by a multidisciplinary team to expectant parents and families with infants who experience socioeconomic barriers, emotional and behavioral health challenges, or other…

In an effort to enhance the quality of early childhood education (ECE) at scale, nearly all U.S. states have recently adopted Quality Rating and Improvement Systems (QRIS). These accountability systems give providers and parents information about program quality and create both reputational and financial incentives for program improvement.…

Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…

Early Warning Systems (EWSs) aggregate multiple sources of data to provide timely information to stakeholders about students in need of academic support. There is an increasing need to incorporate relevant data about student behaviors into the algorithms underlying EWSs to improve predictors of students' success or failure. Many EWSs currently…

Home-school partnership is key to students' success at schools. Japanese schools have attempted to invite families to participate in school educational activities. However, these efforts are embedded into Japanese school cultures and were not studied empirically. This study aimed to explore teachers' attitudes and actions toward home-school…

Collaboration between teachers constitutes an important predictor for the successful implementation of digital media in schools and teaching. The present contribution examines the supporting conditions of ICT (information and communications technology)-related teacher collaboration as a feature of school quality in six selected European…