355 research outputs found

    Mothers Working Nonstandard Schedules and the Influence on Their Children’s Behavior

    Get PDF
    Abstract Purpose The aim of this study is to determine if there is a relationship between mothers working nonstandard schedules and a negative impact on their children’s behavior. Background Nonstandard schedules are in demand among many professions due to the emerging 24/7 economy. With women accounting for nearly half of the U.S. labor force, more mothers are bound to be working nonstandard schedules. With these schedules, mothers are likely to miss important family routines with potential consequences to the children’s behavior. Method A thorough search was conducted using CINAHL Complete, PubMed, and ProQuest Nursing & Allied Health Source. Peer-reviewed studies written in English, published between 2004 and 2015 on mother’s or parent’s work schedule and the effect it has on the children’s behavior or wellbeing were considered. Results Seven studies that were peer-reviewed, written in English, published between 2004 and 2015 on mother’s or parent’s work schedule and the effect it has on the children’s behavior or wellbeing were selected after meeting the inclusion criteria. The literature reveals support between mothers working nonstandard schedules and negative effects on their children’s behavior. Conclusion Mother’s working nonstandard schedules have negative impacts on their children’s behavior, dose-response and long-term effects. This warrants further studies to investigate how to mitigate these negative effects

    Implementing Digital Tools to Support Student Questioning Abilities: A Collaborative Action Research Report

    Get PDF
    This collaborative action research project was conducted in a second-grade classroom to determine the impact that digital web-based tools would have in helping a school media coordinator scaffold her students’ understanding of productive versus non-productive questions. The digital tools Kahoot, Quizizz, and Socrative were used by the students to help them recognize the difference between productive and non-productive questions, as well as supporting them in the ability to generate their own productive questions. While results related to student learning outcomes showed minimal increases, the researchers found that the iterative and reflective nature of the action research cycle enabled the media coordinator and researcher to refine their original choices of digital technology based on formative assessment in the action research cycle to select the digital tools that best fit the context of this specific learning environment. These findings offer further support for the use of collaborative action research as a means to assist educators in choosing the right digital tools to meet their students’ learning needs

    SB 909/HB 1408 Virginia Fair Housing Law; unlawful discriminatory housing practices

    Get PDF
    This report provides a legislative racial impact analysis of Senate Bill (SB) 909, a proposed bill in the Virginia General Assembly, to expand the Virginia Fair Housing Law to include lawful sources of income. Specifically, this report examines state and county source of income laws and their variances by race and ethnicity

    The Deans\u27 Roundtable

    Get PDF
    The Deans\u27 Roundtable

    Network Brain-Computer Interface (nBCI): An Alternative Approach for Cognitive Prosthetics

    Get PDF
    Brain computer interfaces (BCIs) have been applied to sensorimotor systems for many years. However, BCI technology has broad potential beyond sensorimotor systems. The emerging field of cognitive prosthetics, for example, promises to improve learning and memory for patients with cognitive impairment. Unfortunately, our understanding of the neural mechanisms underlying these cognitive processes remains limited in part due to the extensive individual variability in neural coding and circuit function. As a consequence, the development of methods to ascertain optimal control signals for cognitive decoding and restoration remains an active area of inquiry. To advance the field, robust tools are required to quantify time-varying and task-dependent brain states predictive of cognitive performance. Here, we suggest that network science is a natural language in which to formulate and apply such tools. In support of our argument, we offer a simple demonstration of the feasibility of a network approach to BCI control signals, which we refer to as network BCI (nBCI). Finally, in a single subject example, we show that nBCI can reliably predict online cognitive performance and is superior to certain common spectral approaches currently used in BCIs. Our review of the literature and preliminary findings support the notion that nBCI could provide a powerful approach for future applications in cognitive prosthetics
    • …
    corecore