Integration of the BSCS 5E Instructional Method and Technology in an Anatomy and Physiology Lab

This research provides an understanding of how the 5E instructional method combined with educational technology tools can be used in teaching undergraduate college level anatomy and physiology laboratory classes. The 5E instructional model is the exemplary instructional model in teaching biology for high school students. The phases in the 5E learning cycle are Engage, Explore, Explain, Elaborate, and Evaluate. In every step of the learning cycle, the researcher used appropriate technology tools to enhance the teaching and learning processes. The researcher used the Dynamic Instructional Design model to identify the appropriate technology tools for instruction. The topics selected for modification were \u27The Heart\u27 and \u27The Vascular System.\u27 The researcher chose these two topics based on results of the preliminary survey that the researcher conducted during summer 2008. The existing topics identified on the syllabus were followed but the teaching method was changed. In order to accomplish this, the researcher created a class Website and included tools including pronunciation, spelling, an Interactive Tool, and Web links. In addition, the researcher also created teacher resources for the Pronunciation Corner and Spelling Bee, so that any teacher can customize and use these tools for their classes. The results indicated that the students took advantage of the technology provided

Coastal Biophysical Inventory Database for the Point Reyes National Seashore

The Coastal Biophysical Inventory Database is the repository of the data gathered from a rapid assessment of approximately 161 km of the intertidal habitat managed by the Point Reyes National Seashore and Golden Gate National Recreation Area. The Coastal Biophysical Inventory Database is modeled after the “Alaska Coastal Resources Inventory and Mapping Database” and CoastWalker program of Glacier Bay National Park and Preserve. The protocol and database were adapted for this effort to represent the features of the Point Reyes National Seashore and Golden Gate National Recreation Area located along the northern central coast of California. The database is an integration of spatial data and observation data entered and browsed through an interface designed to complement the methods of the observation protocol. The Coastal Biophysical Inventory (CBI) and Mapping Protocol is the methodology to collect and store repeatable observations of the intertidal zone to create a baseline of information useful for resource management and potentially assist damage assessment in the event of an oil spill. The inventory contributes to the knowledge needed for the conservation of coastal resources managed in the public’s trust. The Coastal Biophysical Inventory Database is a Microsoft Access 2003 format relational database with a customized data entry interface programmed in Microsoft Access Visual Basic for Applications. The interface facilitates the entry, storage and relation of substrate, biology, photographs, and other field observations. Data can be browsed or queried using query tools common to the Microsoft Access software or using custom spatial query tools built into the interface with ESRI MapObjects LT 2.0 ActiveX COM objects. The Coastal Biophysical Inventory’s GIS data set is useful for collecting, analyzing and reporting field observations about the intertidal zone. The GIS data set is linked to the observation data set through a unique number, the Segment ID, by using the relate tools found in ArcGIS (9.2-10). The Segment ID is a non-repeating number that references a section of coastline that is delineated by the type and form of the substrate observed. The Segment ID allows connection to the biological observations and other observation records such as photos or the original data sheets. Through ArcGIS connections to the observation database using the Segment ID, summaries of biodiversity or habitat can be made by location. The Coastal Biophysical Inventory has completed its initial goals to assess the coastline of two National Parks. The data set collected provides a snapshot of information and the database allows for future observations to be recorded. It provides coastal resource managers a broad insight and orientation to the intertidal resources managed by the National Park Service

Abmash: Mashing Up Legacy Web Applications by Automated Imitation of Human Actions

Many business web-based applications do not offer applications programming interfaces (APIs) to enable other applications to access their data and functions in a programmatic manner. This makes their composition difficult (for instance to synchronize data between two applications). To address this challenge, this paper presents Abmash, an approach to facilitate the integration of such legacy web applications by automatically imitating human interactions with them. By automatically interacting with the graphical user interface (GUI) of web applications, the system supports all forms of integrations including bi-directional interactions and is able to interact with AJAX-based applications. Furthermore, the integration programs are easy to write since they deal with end-user, visual user-interface elements. The integration code is simple enough to be called a "mashup".Comment: Software: Practice and Experience (2013)

Investigating graphical user interface usability on task sequence and display structure dependencies

Designing Graphical User Interfaces (GUI) requires the consideration of task sequence requirements (sequence of operations arising from task structures and application constraints) and display structure (layout of the elements of the interface) relationships. The basic purpose was to understand the usability differences of the interfaces through efficiency, motor performance, and search performance. Thirty-two subjects performed experiments in four groups. The experiments differed in display structure and compatibility of task sequences. Subject mouse actions, mouse coordinates and eye positions were recorded. The derived measures, click efficiency, mouse traversal and eye visits to different areas of interest (namely the tool, object, and goal), were analyzed in a repeated measures factorial design with compatibility and display structure as the between subjects factors and phase of learning as the within subject factor. A significant interaction between compatibility and phase of learning (p\u3c.01) was observed. Mouse traversal per unit time increased significantly (p\u3c. 05) across phases of learning. The phase of learning affected the number of eye visits for all groups. Compatibility had a significant ((p\u3c.005) effect on the average processing time during search. The results establish that the compatibility of task sequence requirement with the display structure affecting the performance of subjects and hence the usability of the interface was thus obtained. However, through learning, subject performance showed considerable improvement and the effects of task sequence and display structure diminished at final stages of user learning. Based on this evidence, a systemic structural activity approach was used to develop a model of human performance on the eye movement and mouse action data. This structural model of human performance is defined as an algorithm and can be used for estimating complexity of task performance. In this study only the assumptions for development of the model and the formulation of the model are explained as an application of the results of the study. The study hence served a dual purpose in the long run: understanding the compatibility of the task sequence with the interface display structure as well as establishing eye and mouse movements as a viable tool to study task performance at human computer interfaces

Systematically Developing a Web-Based Tailored Intervention Promoting HPV-Vaccination Acceptability Among Mothers of Invited Girls Using Intervention Mapping.

Background: Currently, the eHealth field calls for detailed descriptions of theory-based interventions in order to support improved design of such interventions. This article aims to provide a systematic description of the design rationale behind an interactive web-based tailored intervention promoting HPV-vaccination acceptability. Methods: The 6-step Intervention Mapping (IM) protocol was used to describe the design rationale. After the needs assessment in Step 1, intervention objectives were formulated in Step 2. In Step 3, we translated theoretical methods into practical applications, which were integrated into a coherent intervention in Step 4. In Step 5, we anticipated future implementation and adoption, and finally, an evaluation plan was generated in Step 6. Results: Walking through the various steps of IM resulted in a detailed description of the intervention. The needs assessment indicated HPV-vaccination uptake remaining lower than expected. Mothers play the most important role in decision-making about their daughter's immunization. However, they generally feel ambivalent after they made their decisions, and their decisions are based on rather unstable grounds. Therefore, intervention objectives were to improve HPV-vaccination uptake and informed decision-making, and to decrease decisional conflict among mothers of invited girls. Computer-tailoring was chosen as the main method; virtual assistants were chosen as a practical application to deliver interactive tailored feedback. To maximize compatibility with the needs of the target group, a user-centered design strategy by means of focus groups and online experiments was applied. In these, prototypes were tested and sequentially refined. Finally, efficacy, effectiveness, and acceptability of the intervention were tested in a randomized controlled trial. Results showed a significant positive effect of the intervention on informed decision-making, decisional conflict, and nearly all determinants of HPV-vaccination uptake (P < 0.001). Mothers evaluated the intervention as highly positive. Discussion: Using IM led to an innovative effective intervention for promoting HPV-vaccination acceptability. The intervention maps will aid in interpreting the results of our evaluation studies. Moreover, it will ease the comparison of design rationales across interventions, and may provide leads for the development of other eHealth interventions. This paper adds to the plea for systematic reporting of design rationales constituting the process of developing interventions

PACS de patologia: uma plataforma centralizada para a gestão de imagem médica de patologia

The clinical area of digital Pathology is still giving its first steps in the development of interoperable solutions that enable the distributed acquisition, storage, and visualization of medical images, including diagnostic support tools. Nowadays, digital management solutions use proprietary image formats and communication protocols that are not compatible with the DICOM standard. Moreover, the available technologies are not mature enough to support the practice of medicine in an area where scanned images can reach several gigapixels, requiring new engineering approaches to support huge volumes of data, in the order of gigabytes per study, that need to be consumed in real time. This dissertation aims to research and develop new technologies and associated information systems, capable of supporting the digital acquisition of pathology images, their centralized archive, sharing, and collaborative review with decision support tools. The result is an innovative web solution, focused on increasing productivity, with safe diagnostics and based on normalized protocols. A common web browser was transformed into a professional workstation that is able to access the image repository at any place and time, regardless of the operating system and without any prior installation.A área de Patologia clínica digital ainda se encontra a dar os primeiros passos no desenvolvimento de soluções interoperáveis que permitam a aquisição, arquivo e visualização distribuída da imagem, incluindo ferramentas de suporte ao diagnóstico. Os atuais cenários de revisão à distância usam aplicações proprietárias que não são interoperáveis com a norma DICOM. Isto deve-se ao facto de a tecnologia não estar suficientemente madura para apoiar a prática clínica numa área em que uma imagem digitalizada pode atingir vários giga-pixels, requerendo novas soluções de engenharia para suportar grandes volumes de dados, da ordem de gigabyte por estudo, que necessitam de ser consumidos remotamente em tempo real. Esta dissertação teve como objetivo estudar e desenvolver tecnologias e sistemas de informação que permitam a aquisição digital da imagem de patologia, o seu arquivo centralizado, a partilha e revisão colaborativa com ferramentas de suporte à decisão. O resultado é uma solução Web inovadora, de elevada produtividade, diagnóstico seguro e baseada em processos e protocolos normalizados. Um Web-browser comum foi transformado numa estação de trabalho capaz de aceder ao arquivo em qualquer altura e qualquer lugar, independentemente do sistema operativo, computador ou dispositivo móvel.Mestrado em Engenharia Informátic

Development of a dynamic spatial data analysis system for transportation

Transportation systems are complex entities that are owned and operated by a diverse group of organizations. The management of such systems requires substantial amounts of data to be monitored, acquired, managed, analyzed, maintained and modeled. Due to the spatial and temporal nature of such data, Geographic Information Systems (GIS) and Global Positioning Systems (GPS) technologies offer significant promise to help with such activities. The focus of this dissertation is to develop a GIS based decision support system to help manage transportation systems. The purpose of the study is to develop a system, which compiles, pre-processes, and manages various transportation system related data including near real time transfer of data. This involves the development of a system architecture, and identification and integration of software and hardware elements. The system utilizes commercial off-the-shelf software and hardware, along with customized interfaces. The system is then evaluated using a pilot study. The pilot study includes components to facilitate data collection and analyses, as well as mechanism to disseminate the results of the analyses. The outcome of the dissertation is a system that utilizes GIS and GPS technologies to manage transportation related databases in real-time, and a demonstration of its use

Open source challenges for hospital information system (HIS) in developing countries: a pilot project in Mali

<p>Abstract</p> <p>Background</p> <p>We are currently witnessing a significant increase in use of Open Source tools in the field of health. Our study aims to research the potential of these software packages for developing countries. Our experiment was conducted at the Centre Hospitalier Mere Enfant in Mali.</p> <p>Methods</p> <p>After reviewing several Open Source tools in the field of hospital information systems, Mediboard software was chosen for our study. To ensure the completeness of Mediboard in relation to the functionality required for a hospital information system, its features were compared to those of a well-defined comprehensive record management tool set up at the University Hospital "La Timone" of Marseilles in France. It was then installed on two Linux servers: a first server for testing and validation of different modules, and a second one for the deployed full implementation. After several months of use, we have evaluated the usability aspects of the system including feedback from end-users through a questionnaire.</p> <p>Results</p> <p>Initial results showed the potential of Open Source in the field of health IT for developing countries like Mali.</p> <p>Five main modules have been fully implemented: patient administrative and medical records management of hospital activities, tracking of practitioners' activities, infrastructure management and the billing system. This last component of the system has been fully developed by the local Mali team.</p> <p>The evaluation showed that the system is broadly accepted by all the users who participated in the study. 77% of the participants found the system useful; 85% found it easy; 100% of them believe the system increases the reliability of data. The same proportion encourages the continuation of the experiment and its expansion throughout the hospital.</p> <p>Conclusions</p> <p>In light of the results, we can conclude that the objective of our study was reached. However, it is important to take into account the recommendations and the challenges discussed here to avoid several potential pitfalls specific to the context of Africa.</p> <p>Our future work will target the full integration of the billing module in Mediboard and an expanded implementation throughout the hospital.</p

Automated short-answer grading and misconception detection using large language models

As education technology continues to evolve, the domains of Automatic Short-Answer Grading (ASAG) and Automated Misconception Detection (AMD) stand at the forefront of innovative approaches to educational assessment. We explore the transformative potential of Large Language Models (LLMs) in revolutionizing these critical areas. Leveraging the remarkable capabilities of LLMs in semantic inference, contextual understanding, and transfer learning, we embark on a comprehensive journey to enhance both ASAG and AMD. On ASAG, we illuminate the efficacy of transfer learning by fine-tuning RoBERTa Large, a state-of-the-art LLM, on task-related corpora, e.g. the Multi-Genre Natural Language Inference (MNLI) corpus. The model\u27s adaptability across unseen questions and domains on the minority class, coupled with its narrowed performance gap from unseen answers, highlights the profound impact of transfer learning on grading diverse student responses. In the emerging realm of AMD, we pioneer a dataset and methodology that inaugurates a new era in misconception detection. Framing the task as Recognizing Textual Entailment (RTE), our approach with RoBERTa Large MNLI captures nuanced misconceptions, unveiling the untapped potential of LLMs in unraveling the intricate landscape of automated misconception detection. The synergy between these endeavors presents a holistic view of the transformative role anticipated for LLMs in automated educational assessment. Our research, spanning adaptability in short-answer grading and groundbreaking advancements in misconception detection, establishes a foundation for a future where LLMs excel not only in understanding nuanced student responses but also in pinpointing and rectifying misconceptions with unparalleled precision. These insights contribute significantly to the dynamic field of educational technology, heralding a new era wherein the full potential of LLMs is utilized to shape the trajectory of educational assessment