From the Grassroot to the Tree Tops: How One Library has become Embedded in Online Learning

This presentation will show how a grassroots initiative has budded into the Florida International University (FIU) Libraries being an instrumental part of online learning. It will describe some of the marketing and outreach efforts that have been successful and share ideas on how to build alliances and networks with online faculty and students. Along with outreach efforts, the presentation will demonstrate some of the successful tools used to meet the needs of online students. Some of the these tools include becoming embedded in courses, building course and program specific Libguides, using Adobe Connect to reach students, creating simple YouTube videos, and creating more professional videos with FIU Online. The presentation will conclude with sharing some tips on how to keep the workload manageable when distance-learning programs are growing at the same time as library budgets and resources are shrinking.

Patterns of cooperation, conflict, and domination in children's collaborative problem-solving

This study examined the influence of age, expertise, and task difficulty on children's patterns of collaboration. Six- and eight-year-old children were individually pretested for ability to copy a Lego model and then paired with each other and asked to copy two more models. The design was a 3 (dyad skill level: novice, expert, or mixed) X 2 (age: six or eight) X 2 (task difficulty: moderate or complex) factorial. Results indicated that cooperation increased with age and expertise and decreased with task difficulty. However, expertise had a greater influence on younger than older children's interaction styles. It is argued that with age, social skills may become as important as expertise in determining styles of collaboration. The issue is raised of whether cooperation, domination, and independence represent developmental sequences (i.e., independence precedes cooperation) or whether they represent personal styles of interaction. Finally, it is suggested that an important goal for future research is to assess the relationship between patterns of collaboration and learning.

User Interface Design for Electronic Learning Software: Promoting Usability and Facilitating Learning for Children

Computing devices have become ubiquitous in our technologically-advanced world, serving as vehicles for software applications that provide users with a wide array of functions. Among these applications are electronic learning software, which are increasingly being used to educate and evaluate individuals ranging from grade school students to career professionals. This study will evaluate the design and implementation of user interfaces in these pieces of software. Specifically, it will explore how these interfaces can be developed to facilitate the use of electronic learning software by children. In order to do this, research will be performed in the area of human-computer interaction, focusing on cognitive psychology, user interface design, and software development. This information will be analyzed in order to design a user interface that provides an optimal user experience for children. This group will test said interface, as well as existing applications, in order to measure its usability. The objective of this study is to design a user interface that makes electronic learning software more usable for children, facilitating their learning process and increasing their academic performance. This study will be conducted by using the Adobe Creative Suite to design the user interface and an Integrated Development Environment to implement functionality. These are digital tools that are available on computing devices such as desktop computers, laptops, and smartphones, which will be used for the development of software. By using these tools, I hope to create a user interface for electronic learning software that promotes usability while maintaining functionality. This study will address the increasing complexity of computing software seen today – an issue that has risen due to the progressive implementation of new functionality. This issue is having a detrimental effect on the usability of electronic learning software, increasing the learning curve for targeted users such as children. As we make electronic learning software an integral part of educational programs in our schools, it is important to address this in order to guarantee them a successful learning experience.

User Interface Design for Electronic Learning Software: Promoting Usability and Facilitating Learning for Children

Computing devices have become ubiquitous in our technologically-advanced world, serving as vehicles for software applications that provide users with a wide array of functions. Among these applications are electronic learning software, which are increasingly being used to educate and evaluate individuals ranging from grade school students to career professionals. This study will evaluate the design and implementation of user interfaces in these pieces of software. Specifically, it will explore how these interfaces can be developed to facilitate the use of electronic learning software by children. In order to do this, research will be performed in the area of human-computer interaction, focusing on cognitive psychology, user interface design, and software development. This information will be analyzed in order to design a user interface that provides an optimal user experience for children. This group will test said interface, as well as existing applications, in order to measure its usability. The objective of this study is to design a user interface that makes electronic learning software more usable for children, facilitating their learning process and increasing their academic performance. This study will be conducted by using the Adobe Creative Suite to design the user interface and an Integrated Development Environment to implement functionality. These are digital tools that are available on computing devices such as desktop computers, laptops, and smartphones, which will be used for the development of software. By using these tools, I hope to create a user interface for electronic learning software that promotes usability while maintaining functionality. This study will address the increasing complexity of computing software seen today – an issue that has risen due to the progressive implementation of new functionality. This issue is having a detrimental effect on the usability of electronic learning software, increasing the learning curve for targeted users such as children. As we make electronic learning software an integral part of educational programs in our schools, it is important to address this in order to guarantee them a successful learning experience.

A criança com transtorno do espectro autista (TEA) e o professor: uma proposta de intervenção baseada na experiência de aprendizagem mediada (EAM)

The presence of students with Autism Spectrum Disorder (ASD) in regular schools has increased and with it, the need to develop interventional strategies that enhance their learning. One of the tools that can facilitate this process is Mediated Learning, defined as an interaction style where the teacher selects, modifies, enhances, and interprets environmental stimuli in order to promote student learning. In recent years several studies have used the Mediated Learning Experience Scale (MLE; Lidz, 1991) as a tool to assess the mediator behavior. These studies have suggested that the EAM Scale can provide important guidelines for planning educational interventions, particularly those involving students with special needs. In order to extend these findings, this study aimed to evaluate the effects of an intervention based on the Mediated Learning Experience on social / academic skills of a child with ASD, enrolled in the 4th grade of a regular elementary school. This collaborative study was held in the city of Parnamirim, state of Rio Grande do Norte, in 2014. A 9-year old boy with ASD and his teacher participated in the study. The research used a quasi-experimental A-B design (baseline and treatment) to evaluate the teacher's behavior. Qualitative procedures were also used to analyze the dyad´s responses. Teacher and student behaviors were observed in three school routines during baseline. Based on the results of this phase, a training program was designed for the teacher. Dyad behavior was analyzed again after training in the same routines. The results of this phase showed qualitative and quantitative changes in levels of teacher mediation. Additionally, data indicated that the child enhanced his social and academic skills during the intervention.

Desenvolvimento profissional de futuros professores: travessias que se entrecruzam em contextos formativos

This study aimed to understand how the educational context contributes to the professional development of future teachers on introduction to teaching practice. To this end, we seek to characterize what the learning and the difficulties experienced in training contexts by future teachers, as well as the intrinsic elements to the training contexts that enable professional development. The investigated contexts were the Institutional Program Initiation Grant to Teaching (Programa Institucional de Bolsa de Iniciação à Docência – PIBID), specifically the sub-projects of Chemistry and Physics of the Federal University of Rio Grande do Norte (Universidade Federal do Rio Grande do Norte – UFRN) and Masters in Teaching of Physics and Chemistry of the University of Lisbon (MEFQ ). In both contexts, the future teachers are in contact with the school in a systematic way. The methodology used in our study is rooted in qualitative research with interpretative guidance and the design in the study of multiple cases with instrumental purpose. Participated in this study as the main subject, 40 future teachers PIBID of Physics, 24 PIBID future teachers of Chemistry and 5 future Master Teachers in Teaching Chemistry and Physics. As supporting subjects, participated in 3 PIBID Area Coordinators, the teacher of Introduction to Professional Practice of MEFQ, and 8 teachers who teach chemistry and / or physics in public schools. Multiple data collection tools were used: naturalistic observation, descriptive questionnaire, individual interviews, focus groups, reading of written records and official documents. In analyzing the data, we used the method of questioning and constant comparison. The results showed that the main learning of future teachers are related to the strategy employed in class, the change in the understanding of the role of teacher and student in the classroom, the construction of the professional profile and the development of collaborative practices. The main difficulties were related to the development of activities, the management of time and group, the dynamics of the classroom and the material conditions of work. The characteristics inherent in training contexts investigated for professional development are: the practice itself of the research, the collaboration, the focused reflection on practice, focus on student learning and the improving public schools. From the results, it is evidenced that the training contexts centered at school have the capability to resize the practice based on the analysis of actions, in a collaborative work as well as create opportunities for awareness of the concepts, the acting and the way to understand the profession. It is needed for effective mediation trainers, so that future teachers undertake their own practice and, therefore, they can build teaching strategies that promote learning which, in addition to increase the quality of education, favor the professional development throughout life.

The first time delivery of the first link learning series using Skype and YouTube

Introduction: This case study documented the experiences of informal and service providers who participated in the first time delivery of the First Link Learning Series from May–August 2013 in Newfoundland and Labrador. The aim of this study was to understand how informal caregivers of people with dementia experience this Internet mediated health resource, and how Skype and YouTube can be used as tools for the Alzheimer Society of Newfoundland and Labrador to effectively deliver the First Link Learning Series. Methods: Sources of data included key informant interviews (n=3), pre- study and post-study interviews with informal dementia caregivers (n=2), institutional documentation, field notes, and YouTube analytics. Framework Analysis was used to make meaning of the qualitative data, and descriptive statistics were used to report on quantitative outcomes. Findings: Between 3% and 17% of registered First Link clients attended the learning series sessions, however only two caregivers participated using Skype or YouTube. Framework Analysis revealed three shared themes: access, connection and privacy. Discussion: The themes helped to begin building theory about barriers and facilitators to Internet mediated health resources for informal dementia caregivers. Experiences of service providers using the Internet to support clients served to begin building a case for the appropriateness of these media. A modified version of Dansky et al.’s (2006) theoretical framework for evaluating E-Health research that situates the person/user in the model, helped guide discussion and propose future directions for the study of Internet based health resources for informal dementia caregivers.

Contributos da supervisão para a dialógica e o trabalho colaborativo : estudo de um caso

Dissertação apresentada à Escola Superior de Educação de Santarém para a obtenção do grau de mestre em Ciências da educação - Supervisão e orientação pedagógica

Development of a program of radiopaque lesions images via radiographic cases for active learning in oral medicine

Through the creation of this project in English, we have made a file of radiographic images that will be used by third year dental students in order to improve the practical teaching part of the subject of Oral Medicine, essentially by incorporating these files to the Virtual Campus. We have selected the most representative radiopaque radiographic images studied in pathology lectures given. We have prepared a file with 59 radiopaque radiographic images. These lesions have been divided according to their relationship and number with the tooth, into the following groups: “Anatomic radiopacities”, “Periapical radiopacities”, “Solitary radiopacities not necessarily contacting teeth”,“Multiple separate radiopacities”, and “Generalized radiopacities”. We created 4 flowcharts synthesizing the mayor explanatory bases of each pathological process in relation to other pathologies within each location. We have focused primarily in those clinical and radiographic features that can help us differentiate one pathology from another. We believe that by giving the student a knowledge base through each flowchart, as well as provide clinical cases, will start their curiosity to seek new cases on the Internet or try to look for images that we have not been able to locate due to low frequency. In addition, as this project has been done in English, it will provide the students with necessary tools to do a literature search, as most of the medical and dental literature is in English; thus far, providing the student with this material necessary to make the appropriate searched using keywords in English.

Practice-based film education for children: teaching and learning for creativity, citizenship and participation

Practice-oriented film education aimed at children has been hailed for various reasons: at a personal level, as a means of providing tools for self-expression, for developing creativity and communication skills. And at a social level, it is argued that children must now become competent producers, in addition to critical consumers, of audiovisual content so they can take part in the global public sphere that is arguably emerging. This chapter discusses how the challenges posed by introducing children to filmmaking (i.e. digital video) are being met at three civil associations in Mexico: La Matatena AC, which seeks to enrich the children’s lives by means of the aesthetic experience filmmaking can bring them. Comunicaciòn Comunitaria, concerned with the impact filmmaking can have on the community, preserving cultural memory and enabling participation. And Juguemos a Grabar, with a focus on urban regeneration through the cultural industries.

Personal learning artefacts: persistence, ownership and privacy

Traditional classrooms have been often regarded as closed spaces within which experimentation, discussion and exploration of ideas occur. Professors have been used to being able to express ideas frankly, and occasionally rashly while discussions are ephemeral and conventional student work is submitted, graded and often shredded. However, digital tools have transformed the nature of privacy. As we move towards the creation of life-long archives of our personal learning, we collect material created in various 'classrooms'. Some of these are public, and open, but others were created within 'circles of trust' with expectations of privacy and anonymity by learners. Taking the Creative Commons license as a starting point, this paper looks at what rights and expectations of privacy exist in learning environments? What methods might we use to define a 'privacy license' for learning? How should the privacy rights of learners be balanced with the need to encourage open learning and with the creation of eportfolios as evidence of learning? How might we define different learning spaces and the privacy rights associated with them? Which class activities are 'private' and closed to the class, which are open and what lies between? A limited set of set of metrics or zones is proposed, along the axes of private-public, anonymous-attributable and non-commercial-commercial to define learning spaces and the digital footprints created within them. The application of these not only to the artefacts which reflect learning, but to the learning spaces, and indeed to digital media more broadly are explored. The possibility that these might inform not only teaching practice but also grading rubrics in disciplines where public engagement is required will also be explored, along with the need for consideration by educational institutions of the data rights of students.

Nvidia, matrox, paper? - Undergraduate game design tools in the humanities and social sciences

Eschewing costly high-tech approaches, this paper looks at the experience of using low-tech approaches to game design assignments as problem based learning and assessment tool over a number of years in undergraduate teaching. General game design concepts are discussed, along with learning outcomes and assessment rubrics in line with Blooms Taxonomy based on evidence from students who had no prior experience of serious game play or design. Approaches to creating game design based assessments are offered.

Learning and Exploiting Camera Geometry for Computer Vision

This work explores the use of statistical methods in describing and estimating camera poses, as well as the information feedback loop between camera pose and object detection. Surging development in robotics and computer vision has pushed the need for algorithms that infer, understand, and utilize information about the position and orientation of the sensor platforms when observing and/or interacting with their environment.

The first contribution of this thesis is the development of a set of statistical tools for representing and estimating the uncertainty in object poses. A distribution for representing the joint uncertainty over multiple object positions and orientations is described, called the mirrored normal-Bingham distribution. This distribution generalizes both the normal distribution in Euclidean space, and the Bingham distribution on the unit hypersphere. It is shown to inherit many of the convenient properties of these special cases: it is the maximum-entropy distribution with fixed second moment, and there is a generalized Laplace approximation whose result is the mirrored normal-Bingham distribution. This distribution and approximation method are demonstrated by deriving the analytical approximation to the wrapped-normal distribution. Further, it is shown how these tools can be used to represent the uncertainty in the result of a bundle adjustment problem.

Another application of these methods is illustrated as part of a novel camera pose estimation algorithm based on object detections. The autocalibration task is formulated as a bundle adjustment problem using prior distributions over the 3D points to enforce the objects' structure and their relationship with the scene geometry. This framework is very flexible and enables the use of off-the-shelf computational tools to solve specialized autocalibration problems. Its performance is evaluated using a pedestrian detector to provide head and foot location observations, and it proves much faster and potentially more accurate than existing methods.

Finally, the information feedback loop between object detection and camera pose estimation is closed by utilizing camera pose information to improve object detection in scenarios with significant perspective warping. Methods are presented that allow the inverse perspective mapping traditionally applied to images to be applied instead to features computed from those images. For the special case of HOG-like features, which are used by many modern object detection systems, these methods are shown to provide substantial performance benefits over unadapted detectors while achieving real-time frame rates, orders of magnitude faster than comparable image warping methods.

The statistical tools and algorithms presented here are especially promising for mobile cameras, providing the ability to autocalibrate and adapt to the camera pose in real time. In addition, these methods have wide-ranging potential applications in diverse areas of computer vision, robotics, and imaging.

A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.

INTRODUCTION: The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups. METHOD: Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we articulate a framework that will support the sharing of phenotype definitions across research and health care use cases, and highlight gaps and areas that need attention and collaborative solutions. FRAMEWORK: An infrastructure for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications includes: access to a collection of existing phenotype definitions, information to evaluate their appropriateness for particular applications, a knowledge base of implementation guidance, supporting tools that are user-friendly and intuitive, and a willingness to use them. NEXT STEPS: We encourage prospective researchers and health administrators to re-use existing EHR-based condition definitions where appropriate and share their results with others to support a national culture of learning health care. There are a number of federally funded resources to support these activities, and research sponsors should encourage their use.

Essays in Empirical Operations Management: Bayesian Learning of Service Quality and Structural Estimation of Complementary Product Pricing and Inventory Management

This dissertation contributes to the rapidly growing empirical research area in the field of operations management. It contains two essays, tackling two different sets of operations management questions which are motivated by and built on field data sets from two very different industries --- air cargo logistics and retailing.

The first essay, based on the data set obtained from a world leading third-party logistics company, develops a novel and general Bayesian hierarchical learning framework for estimating customers' spillover learning, that is, customers' learning about the quality of a service (or product) from their previous experiences with similar yet not identical services. We then apply our model to the data set to study how customers' experiences from shipping on a particular route affect their future decisions about shipping not only on that route, but also on other routes serviced by the same logistics company. We find that customers indeed borrow experiences from similar but different services to update their quality beliefs that determine future purchase decisions. Also, service quality beliefs have a significant impact on their future purchasing decisions. Moreover, customers are risk averse; they are averse to not only experience variability but also belief uncertainty (i.e., customer's uncertainty about their beliefs). Finally, belief uncertainty affects customers' utilities more compared to experience variability.

The second essay is based on a data set obtained from a large Chinese supermarket chain, which contains sales as well as both wholesale and retail prices of un-packaged perishable vegetables. Recognizing the special characteristics of this particularly product category, we develop a structural estimation model in a discrete-continuous choice model framework. Building on this framework, we then study an optimization model for joint pricing and inventory management strategies of multiple products, which aims at improving the company's profit from direct sales and at the same time reducing food waste and thus improving social welfare.

Collectively, the studies in this dissertation provide useful modeling ideas, decision tools, insights, and guidance for firms to utilize vast sales and operations data to devise more effective business strategies.