27,620 research outputs found

    Regenerative medicine: Stroke survivor and carer views and motivations towards a proposed stem cell clinical trial using placebo neurosurgery

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    Background  Few studies explore stroke survivor views and motivations towards stem cell therapy (SCT). This qualitative study explores the views and motivations of both stroke survivors and their partners/carers towards a proposed 2-arm Phase III Randomised Controlled Trial (RCT) comparing intracerebral insertion of stem cells with placebo neurosurgery in stroke survivors with disability.  Objective  To explore views and motivations towards a proposed 2-arm stem cell trial and identify factors that may impede and enhance participation.  Design  This study adopts a naturalistic design to explore the complexity of this field, employing a participatory action-research approach comprising a specialized Conversation (World) Café form of focus group. Data were collected via 5 Conversation Cafés with stroke survivors (age 40-75) and partners/carers between June and October 2016. Of 66 participants, 53 (31 male, 22 female) were stroke survivors and 13 (6 female, 7 male) were partners/carers. Qualitative data were analysed using a thematic approach.  Discussion and Conclusion  Stroke survivor views and motivations reflect anticipation of the personal and future benefits of regenerative medicine. Partners/carers sought to balance the value of stroke survivor hope with carrying the weight of hope as carer, a conflict burden adding to known caregiver burden. All participants expressed the need for during and post-trial psychological support. This study provides a rare opportunity to explore the prospective views and motivations of stroke survivors and their partners/carers towards a proposed Phase III 2-arm RCT. This adds weight to qualitative evidence exploring capacity, consent, decision making, perceptions of treatment risk and supports required for clinical trial participation

    Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

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    The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

    Student Scholarship Day 2005

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    Causal mapping as a teaching tool for reflecting on causation in human evolution (advance online)

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    Leveling the Playing Field: Attracting, Engaging, and Advancing People with Disabilities

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    People with disabilities experience significant challenges in finding employment. The participation of people with disabilities in the workforce and their median income are both less than half that of the civilian workforce. They work part time 68 percent more frequently than people without disabilities. These disheartening results persist despite the enactment of significant federal legislation aimed at making the workplace more supportive and accessible to people with disabilities. The Conference Board Research Working Group (RWG) on Improving Employment Outcomes for People with Disabilities was convened to address how to overcome these disparities. It was sponsored by the Employment and Disability Institute at Cornell University, under a grant from the National Institute on Disability and Rehabilitation Research of the U.S. Department of Education. The RWG members focused on four questions: 1) The business case: Is it advantageous for organizations to employ people with disabilities? 2) Organizational readiness: What should organizations do to create a workplace that enables people with disabilities to thrive and advance? 3) Measurement: How can success for both people with disabilities and the organization itself be determined? 4) Self-disclosure: How can people with disabilities, especially those whose disabilities are not obvious, be encouraged to identify themselves so that resources can be directed toward them and outcomes can be measured

    College Student Perceptions of Varying Disability Types: Does Contact Experience Matter?

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    Studies exploring prejudices between groups have suggested that contact is related to attitudes. This relationship has been studied in the context of attitudes toward people with disabilities and has yielded inconsistent results. Other variables, such as gender, type of relationship, and the type of disability, have been studied in conjunction with and distinct from the contact variable. The present study, conducted among college students, investigated if the contact experience or the exposure to a specific type of disability in a vignette individually were associated with the attitude variable of social distance, as well as if there was an interaction between the two independent variables. Contact experience did not significantly predict scores on the social distance measure; however, type of disability was a significant predictor of undergraduate students’ social distance attitudes. Specifically, physical disability predicted significantly lower scores of social distance than intellectual disability, Attention-Deficit Hyperactivity disorder, and Autism Spectrum Disorder. The results of this research were consistent with prior studies measuring similar variables, prompting a need for further research on the role of contact experience and disability type in forming prejudices toward people with disabilities. As type of disability seems to play a significant role in attitudes toward people with disabilities, greater efforts should be directed towards educating students and faculty on non-physical disability types

    Software component testing : a standard and the effectiveness of techniques

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    This portfolio comprises two projects linked by the theme of software component testing, which is also often referred to as module or unit testing. One project covers its standardisation, while the other considers the analysis and evaluation of the application of selected testing techniques to an existing avionics system. The evaluation is based on empirical data obtained from fault reports relating to the avionics system. The standardisation project is based on the development of the BC BSI Software Component Testing Standard and the BCS/BSI Glossary of terms used in software testing, which are both included in the portfolio. The papers included for this project consider both those issues concerned with the adopted development process and the resolution of technical matters concerning the definition of the testing techniques and their associated measures. The test effectiveness project documents a retrospective analysis of an operational avionics system to determine the relative effectiveness of several software component testing techniques. The methodology differs from that used in other test effectiveness experiments in that it considers every possible set of inputs that are required to satisfy a testing technique rather than arbitrarily chosen values from within this set. The three papers present the experimental methodology used, intermediate results from a failure analysis of the studied system, and the test effectiveness results for ten testing techniques, definitions for which were taken from the BCS BSI Software Component Testing Standard. The creation of the two standards has filled a gap in both the national and international software testing standards arenas. Their production required an in-depth knowledge of software component testing techniques, the identification and use of a development process, and the negotiation of the standardisation process at a national level. The knowledge gained during this process has been disseminated by the author in the papers included as part of this portfolio. The investigation of test effectiveness has introduced a new methodology for determining the test effectiveness of software component testing techniques by means of a retrospective analysis and so provided a new set of data that can be added to the body of empirical data on software component testing effectiveness

    Applying science of learning in education: Infusing psychological science into the curriculum

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    The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings
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