EVALUATING THE PRAGMATIC ANALYTICAL READING LEVEL INSTRUCTION FRAMEWORK: A MIXED METHODS RESEARCH AND DEVELOPMENT CASE STUDY

In light of the escalating literacy demands of the 21st Century workplace, and the reality the adolescent literacy rates remain stagnant despite considerable focus on them, there appears to be a need for translation of the role that reading comprehension plays in the growth of literacy of adolescent learners. A framework that recognizes the inherent complexities of reading at the secondary school level and provides a systematic and targeted means for flexible instruction to remediate the reading comprehension deficits of a diverse population of struggling adolescent readers was developed. The Pragmatic Analytical Reading Level Instruction (PARLI) framework integrates the essential constructs from the fields of education, cognitive science, and neuroscience as they relate to reading comprehension among adolescent learners. A mixed methods evaluation multi-case study was conducted to provide a formative evaluation of the Pragmatic Analytical Reading Level Instruction (PARLI) framework. In particular, the ten cases of the quintain were middle school students identified as struggling readers. The PARLI framework was effective with nine of the 10 cases of the quintain when all data are considered. When exclusively considering quantitative data from reading assessments, seven of the ten reached proficiency on two out of three measures. Further development and evaluation of the PARLI framework is recommended

Adverse Drug Event Detection, Causality Inference, Patient Communication and Translational Research

Adverse drug events (ADEs) are injuries resulting from a medical intervention related to a drug. ADEs are responsible for nearly 20% of all the adverse events that occur in hospitalized patients. ADEs have been shown to increase the cost of health care and the length of stays in hospital. Therefore, detecting and preventing ADEs for pharmacovigilance is an important task that can improve the quality of health care and reduce the cost in a hospital setting. In this dissertation, we focus on the development of ADEtector, a system that identifies ADEs and medication information from electronic medical records and the FDA Adverse Event Reporting System reports. The ADEtector system employs novel natural language processing approaches for ADE detection and provides a user interface to display ADE information. The ADEtector employs machine learning techniques to automatically processes the narrative text and identify the adverse event (AE) and medication entities that appear in that narrative text. The system will analyze the entities recognized to infer the causal relation that exists between AEs and medications by automating the elements of Naranjo score using knowledge and rule based approaches. The Naranjo Adverse Drug Reaction Probability Scale is a validated tool for finding the causality of a drug induced adverse event or ADE. The scale calculates the likelihood of an adverse event related to drugs based on a list of weighted questions. The ADEtector also presents the user with evidence for ADEs by extracting figures that contain ADE related information from biomedical literature. A brief summary is generated for each of the figures that are extracted to help users better comprehend the figure. This will further enhance the user experience in understanding the ADE information better. The ADEtector also helps patients better understand the narrative text by recognizing complex medical jargon and abbreviations that appear in the text and providing definitions and explanations for them from external knowledge resources. This system could help clinicians and researchers in discovering novel ADEs and drug relations and also hypothesize new research questions within the ADE domain

Technology and Testing

From early answer sheets filled in with number 2 pencils, to tests administered by mainframe computers, to assessments wholly constructed by computers, it is clear that technology is changing the field of educational and psychological measurement. The numerous and rapid advances have immediate impact on test creators, assessment professionals, and those who implement and analyze assessments. This comprehensive new volume brings together leading experts on the issues posed by technological applications in testing, with chapters on game-based assessment, testing with simulations, video assessment, computerized test development, large-scale test delivery, model choice, validity, and error issues. Including an overview of existing literature and ground-breaking research, each chapter considers the technological, practical, and ethical considerations of this rapidly-changing area. Ideal for researchers and professionals in testing and assessment, Technology and Testing provides a critical and in-depth look at one of the most pressing topics in educational testing today

Compendium for Early Career Researchers in Mathematics Education

The purpose of this Open Access compendium, written by experienced researchers in mathematics education, is to serve as a resource for early career researchers in furthering their knowledge of the state of the field and disseminating their research through publishing. To accomplish this, the book is split into four sections: Empirical Methods, Important Mathematics Education Themes, Academic Writing and Academic Publishing, and a section Looking Ahead. The chapters are based on workshops that were presented in the Early Career Researcher Day at the 13th International Congress on Mathematical Education (ICME-13). The combination of presentations on methodological approaches and theoretical perspectives shaping the field in mathematics education research, as well as the strong emphasis on academic writing and publishing, offered strong insight into the theoretical and empirical bases of research in mathematics education for early career researchers in this field. Based on these presentations, the book provides a state-of-the-art overview of important theories from mathematics education and the broad variety of empirical approaches currently widely used in mathematics education research. This compendium supports early career researchers in selecting adequate theoretical approaches and adopting the most appropriate methodological approaches for their own research. Furthermore, it helps early career researchers in mathematics education to avoid common pitfalls and problems while writing up their research and it provides them with an overview of the most important journals for research in mathematics education, helping them to select the right venue for publishing and disseminating their work

Proceedings of the Seventh Congress of the European Society for Research in Mathematics Education

International audienceThis volume contains the Proceedings of the Seventh Congress of the European Society for Research in Mathematics Education (ERME), which took place 9-13 February 2011, at Rzeszñw in Poland

Compendium for Early Career Researchers in Mathematics Education

The purpose of this Open Access compendium, written by experienced researchers in mathematics education, is to serve as a resource for early career researchers in furthering their knowledge of the state of the field and disseminating their research through publishing. To accomplish this, the book is split into four sections: Empirical Methods, Important Mathematics Education Themes, Academic Writing and Academic Publishing, and a section Looking Ahead. The chapters are based on workshops that were presented in the Early Career Researcher Day at the 13th International Congress on Mathematical Education (ICME-13). The combination of presentations on methodological approaches and theoretical perspectives shaping the field in mathematics education research, as well as the strong emphasis on academic writing and publishing, offered strong insight into the theoretical and empirical bases of research in mathematics education for early career researchers in this field. Based on these presentations, the book provides a state-of-the-art overview of important theories from mathematics education and the broad variety of empirical approaches currently widely used in mathematics education research. This compendium supports early career researchers in selecting adequate theoretical approaches and adopting the most appropriate methodological approaches for their own research. Furthermore, it helps early career researchers in mathematics education to avoid common pitfalls and problems while writing up their research and it provides them with an overview of the most important journals for research in mathematics education, helping them to select the right venue for publishing and disseminating their work

An Exploratory Study of Values Alignments in a Teacher Professional Development Digital Badge System

This exploratory study used case study methods to identify whether value alignments between users and system features could be detected in an online digital badge system and learning environment, and if so, whether those value alignments could be said to affect use of the system. Values are “guiding principles of what people consider important in life” (Cheng & Fleischmann, 2010, n.p.) and are believed to have explanatory power in predicting behaviors and attitudes (Schwartz, 2007). A value sensitive design research method had to be devised anew to address the research questions and is arguably the major contribution of this study. First, a self-report scale (Portrait Values Questionnaire-RR) developed by Schwartz et al. (2012) was used to categorize the pragmatic values of teachers and administrators using the online VIF Learning Center badging into four higher order values: self-transcendence, conservation, openness to change, and self-enhancement. Statistically significant differences were found between male and female teachers, but not between teachers and administrators, nor between teachers mandated to use the system and those for whom use was optional. Second, the 19 values of Schwartz’s revised and refined theory of basic human values were used to assign human values to 11 feature-action pairs identified in the VIF Learning Center’s digital platform. Usage of the feature-action pairs was sparse, and data were spread unevenly, suggesting possible data loss or an indication that technical affordances were weak drivers of participation and engagement.Doctor of Philosoph

The Wolfville Magic Winery Bus: a grounded theory approach to understanding the consumer view of winescape

The tourism literature uses two perspectives to understand the wine tourism, the micro approach (an individual winery) and the macro approach (the winery area/region). This study reveals the important role played by tour guides in linking the micro and macro perspectives, creating a social environment and mediating the winery experience