This article presents an overview of the development and use of analytics in the context of education. Using Buckingham Shum's three levels of analytics, the authors present a critical analysis of current developments in the domain of learning analytics, and contrast the potential value of analytics research and development with real world…

The process of data analysis provides, undoubtedly, some of the major challenges facing organizations during the implementation of interventions in emergencies. The challenges are primarily due to the lack of direct access to beneficiaries and the rapidly evolving nature of emergencies. This paper outlines how Plan International's Making Ghanaian…

Initial Teacher Education (ITE) is inherently complex. Challenges include the uncertain nature of teacher knowledge, the need to learn in both practical and theoretical contexts and the developmental journey of the beginning teacher. While one response to this complexity is greater standardisation, another is to foster thinking, autonomous…

This paper aims at exploring the different modes of persuasion used in English and Arabic advertisements that mainly address women. The research adopted a qualitative research design with the content analysis approach to prepare a study based on the modes like rhetoric, discourse analysis and persuasion strategies. The study hypothesized that…

Equitable opportunities for performance measurement learning among social work graduate students can create a diverse professional pipeline toward higher performing organizations. A Foundation-University partnership was developed to "expand the bench" of students, primarily of color, trained in performance measurement with the…

This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science lifecycle framework to engage data science students and practitioners with the ethical…

Literature continues to suggest that physical activity is a viable modality in promoting positive mental health outcomes among youth. School psychologists may be well-positioned to incorporate physical activity within school-based mental health intervention service delivery. This study explores school psychologists' perspectives of using physical…

Research conducted to date provides a limited understanding of the landscape of school-based screening practices across academic, behavioral, and health domains, thus providing an impetus for the current survey study. A total of 475 K-Grade 12 school building administrators representing 409 unique school districts across the United States…

Approximately 4.2 million youth and young adults experience homelessness on their own every year. These young people -- referred to as "unaccompanied homeless youth" under federal education law -- face unique barriers to accessing and completing higher education. Unaccompanied homeless youth are not living with, or supported by, a parent…

Digital health, safety, and citizenship skills reflect the full set of knowledge and habits students can adopt to protect themselves and others in online spaces. For schools and districts, protecting student health and safety while those skills develop means taking an approach that can include policies governing the use of school-provided…

Purpose: We aimed to compare the speech of parents and examiners as they elicited language samples from minimally and low-verbal (MLV) children and adolescents with autism spectrum disorder (ASD), while following the same semi-structured elicitation protocol, Eliciting Language Samples for Analysis-Adolescents (ELSA-A). We also compared the speech…

A prominent goal of colleges and universities today is to enact data-driven teaching and learning. Faculty clearly play a key role, and yet they tend to have limited time, a lack of training in assessment or education research, and few incentives for engaging in this work. We describe a framework designed to address the practical and cultural…

The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

This quantitative research analyzes the impact of the Web Application for the Educational Process on Compound Interest (WAEPCI) considering the machine learning and data science. The sample is composed of 46 students who studied the Financial Mathematics course in a Mexican university during the 2017 school year. WAEPCI presents the calculation of…

A driving factor in designing interactive museum exhibits to support simultaneous users is that visitors learn from one another via observation and conversation. Researchers typically analyze such collaborative interactions among museumgoers through manual coding of live- or video-recorded exhibit use. We sought to determine how log data from an…