Una aplicación móvil para estudiantes con dificultades de aprendizaje: diseño y validación

En los últimos años, el uso de tecnologías y dispositivos portátiles se ha generalizado en muchos campos y también en la educación. Hay además muchas investigaciones que demuestran la enorme difusión del uso y la popularidad de los dispositivos móviles entre los jóvenes. La tecnología móvil ofrece la capacidad de apoyar el aprendizaje y también ofrece tanto a los estudiantes como a los profesores oportunidades de aprendizaje personalizadas. Los principales factores para la adopción e implementación del M-Learning en las escuelas son la disposición y disposición de los maestros. Hay muchos estudios que demuestran las actitudes y percepciones positivas de los profesores de secundaria sobre el uso de dispositivos móviles en la escuela. Es más, un gran número de encuestas indican que el uso de tecnologías móviles, afecta positivamente la educación de los niños con necesidades educativas especiales como el autismo, dislexia, etc. Esta tesis doctoral tiene como objetivo el diseño y la evaluación de una aplicación educativa para Android que se espera ayude a los estudiantes de escuela secundaria griega con dificultades de aprendizaje a adquirir habilidades adicionales en matemáticas. En primer lugar, se han analizado las actitudes y percepciones de los profesores griegos de educación especial sobre el uso de las TIC en clase para asegurarse, por una parte, de que el conocimiento de los profesores en este campo es adecuado, teniendo en cuenta el hecho de que el conocimiento de las TIC no es una habilidad previa para convertirse en profesor. Esta etapa se realiza a través de cuestionarios estructurados y el análisis de los datos de las respuestas se ha realizado con el software IBM SPSS Statistics. En segundo lugar, en el marco de la elaboración de la tesis se ha creado una nueva aplicación tecnológica Android, destinada a ayudar a los estudiantes con dificultades de aprendizaje en el campo de las matemáticas. La herramienta de desarrollo de aplicaciones que se ha utilizado es Android Studio, el IDE oficial (Entorno de Desarrollo Integrado) para la plataforma Android. El lenguaje de programación que se ha utilizado es Java. Antes de su implementación la aplicación fue evaluada por 7 docentes especializados tanto en el área de informática como en matemáticas a través de un cuestionario estructurado. Se implementó su uso durante dos meses en escuelas de secundaria educación . Después de su implementación se evaluaron los resultados a través de entrevistas a profesores de educación especial y cuestionarios dirigidos a estudiantes con dificultades de aprendizaje con el fin de estimar, por un lado, las opiniones e impresiones de los estudiantes y profesores y, por otro lado, las habilidades potenciales que los estudiantes podían haber adquirido. El análisis estadístico de los cuestionarios de evaluación docente reveló que los profesores de matemáticas e informática tienen una actitud positiva hacia la aplicación “Love2LearnMaths”. El mismo punto de vista positivo hacia la aplicación se puede observar en las respuestas de los profesores entrevistados, que son los docentes de matemáticas para estudiantes con NEE. Los estudiantes de los departamentos de integración, por otro lado, parecen estar positivamente entusiasmados con el uso de la aplicación “Love2LearnMaths” como lo revela el análisis de los cuestionarios de los estudiantes para la evaluación de la aplicación.In recent years the use of portable technologies and devices has become widespread in many fields, such as in the economy, tourism, entertainment, but also in education. There are many surveys that prove the huge spread of use and popularity of mobile devices (mobile phones, tablets and laptops) among young people. On the other hand, mobile phones are mostly preferred compared to other mobile devices by secondary school students. Mobile technology offers the ability to support learning and also offers to both students and teachers personalized learning opportunities. The main factors for the adoption and implementation of M-Learning in schools are the willingness and readiness of teachers. There are many studies that prove the positive attitudes and perceptions of secondary school teachers on the use of mobile devices in school. However, specifically for Greece much fewer studies have been carried out. What is more, a great number of surveys indicate that the use of mobile technologies, affects positively the education of children with special educational needs such as autism, ADHD, dyslexia etc. Therefore, this PhD dissertation aims at the design and evaluation of an educational Android application that is expected to help Greek gymnasium’s students with learning difficulties to acquire extra skills in mathematics. Firstly, the attitudes and perceptions of Greek special education teachers about the use of ICTs in class have been analyzed to make sure on the one hand that teachers’ knowledge on this field is adequate, considering the fact that ICTs’ knowledge is not a prerequisite skill for becoming teacher. Additionally, teachers’ attitudes towards the use of ICTs in class have been clarified. This stage is carried out via structured questionnaires and the data analysis of the answers has been made with IBM SPSS Statistics software. Secondly, in the framework of the thesis’ elaboration, a new technological Android application has been created, aiming at assisting students with learning difficulties in the field of mathematics. The application development tool that has been used is Android Studio, the official IDE (Integrated Development Environment) for the Android platform. The programming language that has been used is Java, while XML’s knowledge was required in order to customize the formatting and the appearance of the application. The application was to be implemented in integration departments of two secondary Greek schools within a period of six months (finally the period was reduced to two due to covid-19 restrictions). Before its implementation the application was evaluated by 7 teachers specialized in both the area of informatics and mathematics via a structured questionnaire. After its implementation the results were evaluated via interviews with special education teachers and questionnaires addressed to students with learning difficulties in order to estimate on the one hand the opinions and impressions of the students and teachers because of its use and, on the other hand the potential skills that the students may have acquired. The statistical analysis of teachers' evaluation questionnaires revealed that mathematicians and informatics’ teachers have a positive attitude towards the application “Love2LearnMaths”. Similar attitudes towards mobile devices and apps in general had been announced by the Special Education teachers of the first phase of our research. The same positive point of view towards the application “Love2LearnMaths” can be observed in the answers of the interviewees, who are the special education mathematicians. Students of integration departments on the other hand, appear positively enthusiastic about the use of the application “Love2LearnMaths” as revealed by the analysis of Students’ questionnaires for the evaluation of the app.

Geometric guides for interactive evolutionary design

This thesis describes the addition of novel Geometric Guides to a generative Computer-Aided Design (CAD) application that supports early-stage concept generation. The application generates and evolves abstract 3D shapes, used to inspire the form of new product concepts. It was previously a conventional Interactive Evolutionary system where users selected shapes from evolving populations. However, design industry users wanted more control over the shapes, for example by allowing the system to influence the proportions of evolving forms. The solution researched, developed, integrated and tested is a more cooperative human-machine system combining classic user interaction with innovative geometric analysis. In the literature review, different types of Interactive Evolutionary Computation (IEC), Pose Normalisation (PN), Shape Comparison, and Minimum-Volume Bounding Box approaches are compared, with some of these technologies identified as applicable for this research. Using its Application Programming Interface, add-ins for the Siemens NX CAD system have been developed and integrated with an existing Interactive Evolutionary CAD system. These add-ins allow users to create a Geometric Guide (GG) at the start of a shape exploration session. Before evolving shapes can be compared with the GG, they must be aligned and scaled (known as Pose Normalisation in the literature). Computationally-efficient PN has been achieved using geometric functions such as Bounding Box for translation and scaling, and Principle Axes for the orientation. A shape comparison algorithm has been developed that is based on the principle of non-intersecting volumes. This algorithm is also implemented with standard, readily available geometric functions, is conceptually simple, accessible to other researchers and also offers appropriate efficacy. Objective geometric testing showed that the PN and Shape Comparison methods developed are suitable for this guiding application and can be efficiently adapted to enhance an Interactive Evolutionary Design system. System performance with different population sizes was examined to indicate how best to use the new guiding capabilities to assist users in evolutionary shape searching. This was backed up by participant testing research into two user interaction strategies. A Large Background Population (LBP) approach where the GG is used to select a sub-set of shapes to show to the user was shown to be the most effective. The inclusion of Geometric Guides has taken the research from the existing aesthetic focused tool to a system capable of application to a wider range of engineering design problems. This system supports earlier design processes and ideation in conceptual design and allows a designer to experiment with ideas freely to interactively explore populations of evolving solutions. The design approach has been further improved, and expanded beyond the previous quite limited scope of form exploration

3D object comparison with geometric guides for Interactive Evolutionary CAD

© 2017 The authors and IOS Press. All rights reserved. 3D object comparison is presented as part of research into guided evolutionary Computer-Aided Design (CAD). CAD technology in development will combine human interaction and geometric optimization, within an existing evolutionary design system (EvoShape). Geometric Guides consist of simple 3D target objects (bounding volumes), to which evolving forms are compared. Before comparison, objects must be aligned and scaled, a process known as Pose Normalization (PN) in the literature. Both PN and object comparison have been implemented using standard geometric functions, enabling populations of evolving forms to be directed by the Geometric Guides. The algorithms and their implementation are presented alongside early results and analysis, discussion on limitations and robustness, and their suitability for Interactive Evolutionary CAD

3D alignment for interactive evolutionary design

3D model alignment (‘Pose Normalization’ in the literature) is investigated as part of wider research into guided evolutionary Computer-Aided Design. CAD technology in development will combine human interaction and geometric optimization, within an evolutionary design system. Evolving shapes will be influenced by simple pre-set geometric fuzzy-constraints – internal voids and external bounding geometry created by users. To compare evolving candidate shapes with these pre-set constraints they must first be aligned (rotated, scaled, and co-located). A shortlist of five promising alignment techniques is described. Benchmark data generated using standard CAD functions (centre of gravity, principle axes etc.) will be presented at the conference

A MOBILE APPLICATION TO IMPROVE MATHEMATICAL COMPETENCE FOR STUDENTS WITH LEARNING DIFFICULTIES

This study aims at the design and evaluation of an educational Android application that is expected to help Greek gymnasium students with learning difficulties acquire extra skills in mathematics. Firstly, the attitudes and perceptions of Greek special education teachers about the use of ICTs in class have been searched via a questionnaire. The results show that all teachers are familiar with the use of ICTs and recognise the importance of ICTs in the education of pupils with SEN. Additionally, they could very easily accept and use a new mobile educational app in the learning process. We then created an application that was first evaluated by 7 mathematicians and informatics’ teachers. Their evaluation showed a positive attitude toward the application. During the 2021-2022 school year, the application was implemented in two secondary Greek schools. 16 students with learning difficulties, tried the app under the supervision of 3 special education teachers. Students, answering a questionnaire with both closed-ended and open-ended questions, appear enthusiastic about the application with no differentiation according to their gender and type of difficulty. Positive points of view towards the application are also observed in the answers of the 3 special education mathematicians who were interviewed.  Article visualizations

Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

We introduce a machine-learning framework and field-deployable app to predict outcome of Ebola patients from their initial clinical symptoms. Recent work from other authors also points out to the clinical factors that can be used to better understand patient prognosis, but there is currently no predictive model that can be deployed in the field to assist health care workers. Mobile apps for clinical diagnosis and prognosis allow using more complex models than the scoring protocols that have been traditionally favored by clinicians, such as Apgar and MTS. Furthermore, the WHO Ebola Interim Assessment Panel has recently concluded that innovative tools for data collection, reporting, and monitoring are needed for better response in future outbreaks. However, incomplete clinical data will continue to be a serious problem until more robust and standardized data collection systems are in place. Our app demonstrates how systematic data collection could lead to actionable knowledge, which in turn would trigger more and better collection, further improving the prognosis models and the app, essentially creating a virtuous cycle.Organismic and Evolutionary Biolog

The effect of experimental diabetes and glycaemic control on guided bone regeneration:histology and gene expression analyses

OBJECTIVES: To investigate the effect of experimental diabetes and metabolic control on intramembranous bone healing following guided bone regeneration (GBR). MATERIAL AND METHODS: Ninety-three Wistar rats were allocated to three experimental groups, healthy (H), uncontrolled diabetes (D) and controlled diabetes (CD). Twenty one days following diabetes induction, a standardised 5-mm defect was created at the mid-portion of each parietal bone. In 75 animals (25H, 25D, 25CD), one defect was treated with an intracranial and extracranial membrane according to the GBR principle, and one defect was left empty (control); five animals per group were then randomly sacrificed at 3, 7, 15, 30 and 60 days and processed for decalcified histology. In 18 animals (6H, 6D, 6CD), both defects were treated according to the GBR principle; three animals from each group were then randomly sacrificed at 7 and 15 days of healing and employed for gene expression analysis. RESULTS: Application of the GBR therapeutic principle led to significant bone regeneration even in the D group. However, at 15 and 30 days, the osteogenesis process was impaired by uncontrolled diabetes, as shown by the significant reduction in terms of defect closure (38-42%) and newly formed bone (54-61%) compared to the healthy group. The comparison of the D vs. H group at 15 days of healing yielded the largest number of genes with significantly differential expression, among which various genes associated with the ossification process (bmp4, ltbp4, thra and cd276) were identified. CONCLUSIONS: Uncontrolled diabetes seems to affect early phases of the bone regeneration following GBR. A misregulation of genes and pathways related to cell division, energy production, inflammation and osteogenesis may account for the impaired regeneration process in D rats. Further studies are warranted to optimise the GBR process in this medically compromised patient population

Drug loaded homogeneous electrospun PCL/gelatin hybrid nanofiber structures for anti-infective tissue regeneration membranes

YesInfection is the major reason for guided tissue regeneration/guided bone regeneration (GTR/GBR) membrane failure in clinical application. In this work, we developed GTR/GBR membranes with localized drug delivery function to prevent infection by electrospinning of poly(ε-caprolactone) (PCL) and gelatin blended with metronidazole (MNA). Acetic acid (HAc) was introduced to improve the miscibility of PCL and gelatin to fabricate homogeneous hybrid nanofiber membranes. The effects of the addition of HAc and the MNA content (0, 1, 5, 10, 20, 30, and 40 wt.% of polymer) on the properties of the membranes were investigated. The membranes showed good mechanical properties, appropriate biodegradation rate and barrier function. The controlled and sustained release of MNA from the membranes significantly prevented the colonization of anaerobic bacteria. Cells could adhere to and proliferate on the membranes without cytotoxicity until the MNA content reached 30%. Subcutaneous implantation in rabbits for 8 months demonstrated that MNA-loaded membranes evoked a less severe inflammatory response depending on the dose of MNA than bare membranes. The biodegradation time of the membranes was appropriate for tissue regeneration. These results indicated the potential for using MNA-loaded PCL/gelatin electrospun membranes as anti-infective GTR/GBR membranes to optimize clinical application of GTR/GBR strategies