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Criterios para la elaboración de un curriculum intercultural en Melilla: un estudio multimétodo
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Presentación: Educación ambiental, cultura de la sustentabilidad y emergencia climática.
No full textThe climate emergency is one of the main exponents of the socio-environmental crises that we have suffered since the Industrial Revolution. Such emergency place us before a new era characterized as the anthropocene or capitalocene, whose scientific evidence includes the exponential increase in the levels of greenhouse gas emissions from the fifties of the last century to the present. Faced with this exceptional situation, the culture of sustainability is offered as an essential piece for the achievement of environmentally sustainable human development, in interaction with a wide and diversified range of social, ethical, territorial and technological elements to which educational research should pay priority attention.La emergencia climática constituye uno de los principales exponentes de las crisis socioambientales que padecemos desde la Revolución Industrial. Dicha emergencia nos sitúa ante una nueva era caracterizada como antropoceno, o capitaloceno, entre cuyas evidencias destaca el incremento exponencial de los niveles de emisiones de gases de efecto invernadero desde los años cincuenta del siglo pasado hasta la actualidad. Ante esta situación excepcional, la cultura de la sustentabilidad se ofrece como una pieza esencial para lograr un desarrollo humano ambientalmente sostenible, en interacción con una amplia y diversificada gama de elementos sociales, éticos, territoriales y tecnológicos a los que la investigación educativa tendría que prestar una atención prioritaria
Prácticum mediado por foto-elicitación: aportación a la formación inicial docente y a la permanente del profesorado-tutor
Get PDFThis article investigates to what extent teaching degree students, during the three months of traineeship in schools, converse about, reflect on and rethink their tutors’ teaching practices through photo-elicitation processes to find professional development and improvement in both groups. A qualitative research methodology was used, focusing on the study of two cases. A photo-elicitation approach was implemented, guided by the trainee teachers to enable them to reflect on their tutors’ practice in the classroom and school, through photography. The results indicate that the educational situations captured by the student teachers are of an instructional and formative nature, with a predominance of denotative and connotative levels in the content of the first group and of denotative, connotative and affective levels in the second group. The photo-elicitation process followed led to the development of three main types of relationship between the trainee teachers and their tutors, defined as confirmation, contribution and reference, which fostered complicity, involvement, joint responsibility and mutual professional development.El artículo indaga en qué medida el alumnado del Grado en Maestro, durante los tres meses de Prácticum en un colegio, analiza, debate y replantea las prácticas docentes de sus tutores mediante procesos de fotoelicitación para conseguir el desarrollo y la mejora profesional de ambos colectivos. Se siguió la metodología de investigación cualitativa basada en el estudio de dos casos. Se aplicó un tipo de fotoelicitación dirigido por los maestros en formación inicial para que estos pudieran cuestionar las prácticas de sus tutores en el aula y en el centro con base en sus tomas fotográficas. Los resultados apuntan que las situaciones educativas registradas de forma visual por las estudiantes de magisterio participantes son de naturaleza instructiva y formativa; en su contenido, predominan los niveles denotativo-significativo para las primeras y denotativo-significativo-afectivo para las segundas. El proceso de fotoelicitación seguido ha facilitado la emergencia de tres tipos principales de interacciones entre las alumnas en prácticas y sus tutoras: de confirmación, de aportación y de referencia, que promovieron su complicidad, implicación y corresponsabilidad y el desarrollo profesional mutuo
A Multi-Session Evaluation of a Haptic Device in Normal and Critical Conditions: a Mars Analog Mission.
Get PDFWhile visual interaction is typically evaluated as an instantaneous, one-shot activity that considers only a snapshot of factors, haptic interaction is more challenging to evaluate as it involves a continuous touch process evolving over time. To better understand how to evaluate haptic interaction, this paper performs a multisession evaluation of a haptic device to be used by astronauts in future lunar and Mars missions, based on eight factors. Three groups of two members (???? = 6 ) applied, either as operator or assistant, a newly developed external fixator (EZExFix) to fix a fracture of the tibial shaft. Astronauts had different levels of expertise, i.e., in anatomy, mechanical engineering, and without, and participated in eight timed runs. Among these eight matches, four sessions were conducted with different time frames and compared to a stress test, a reproduction of the experiment in very stressful conditions, and a session simulating critical conditions in an extra-vehicular activity
Fiabilidad y validez de la escala de competencias docentes de educación media superior
Get PDFThe psychometric properties of content validity were analyzed, construct and reliability of an instrument to assess teaching competencies in upper secondary education. For content validity, the instrument was submitted to the judgment of 21 judges consequently the Aiken content validity coefficient V was calculated. For the construct validity analysis, the instrument was implemented to 3726 students of upper secondary education. Reliability was evaluated with McDonald's Omega. In the construct validity analysis, a cross-validation process was used that involved exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The instrument integrated in a simplified manner the eight competencies established by the Government of Mexico and in total consisted of 20 items. The items were validated in content (V of Aiken > 0.75, LV > 0.50). Reliability was optimal (McDonald’s Omega: 0.959 95 % CI: 0.957 ± 0.961). Moreover, the AFE verified the correspondence of the instrument with the theoretical model, considering that it denoted a factor that explained 60 % of variance, in which 18 of the 20 items were represented. The evaluation of this model by confirmatory factor analysis revealed an optimal fit (χ2/df ratio: 1.89; GFI: 0.995; RMSAE: 0.050; RMR: 0.028; CFI: 0.992; TLI: 0.994). The instrument «ECDEMS» demonstrates adequate psychometric properties.Se analizaron las propiedades psicométricas de validez de contenido, constructo y confiabilidad de un instrumento para evaluar las competencias docentes en la educación media superior. Para la validez de dicho contenido, el instrumento se sometió al juicio de 21 jueces y se calculó el coeficiente de validez de contenido V de Aiken. La confiabilidad fue evaluada con el Omega de McDonald. Para el análisis de la validez de constructo, el instrumento se aplicó a 3726 estudiantes de la educación media superior. En el análisis de validez del constructo, se empleó un proceso de validación cruzada que involucró el análisis factorial exploratorio (AFE) y el análisis factorial confirmatorio (AFC). El instrumento integró de manera simplificada las ocho competencias establecidas por el Gobierno de México y en total se conformó de 20 ítems. Los ítems fueron validados en contenido (V de Aiken > 0.75, VI > 0.50). La confiabilidad fue óptima (Omega de McDonald: 0.959 IC al 95 %: 0.957 ± 0.961). Por su parte, en el AFE se verificó la correspondencia del instrumento con el modelo teórico, ya que únicamente denotó un factor que explicó 60 % de varianza, en el cual se encontraron representados 18 de los 20 ítems. La evaluación de este modelo mediante el análisis factorial confirmatorio reveló un ajuste óptimo (razón χ2/gl: 1.89; GFI: 0.995; RMSAE: 0.050; RMR: 0.028; CFI: 0.992; TLI: 0.994). El instrumento «ECDEMS» posee adecuadas propiedades psicométricas
Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach.
Get PDFPromoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources of information (uncontrolled sources) that could project an unfavorable image of the destination. Measuring differences between information sources would help design strategies to mitigate negative factors. In this way, we propose a deep learning-based approach to automatically measure the changes between images from controlled and uncontrolled information sources. Our approach exempts experts from the time-consuming task of assessing enormous quantities of pictures to track changes. To our best knowledge, this work is the first work that focuses on this issue using technological paradigms. Notwithstanding this, our approach paves novel pathways to acquire strategic insights that can be harnessed for the augmentation of destination development, the refinement of recommendation systems, the analysis of online travel reviews, and myriad other pertinent domains
Prediction of COVID-19 Using a Clinical Dataset With Machine Learning Approaches.
Get PDFCOVID-19 is an infectious disease that spreads quickly from person to another. The pandemic, which spread worldwide over time, presents huge risks in terms of blood clotting, breathing problems and heart attacks, sometimes with fatal consequences if not detected early. The PCR test, CT scans, X-rays, and blood tests are methods commonly employed to detect the disease, though the PCR test is, without question, considered the gold standard. The American Center for Disease Control and Prevention (CDC) reports that the PCR has an 80% accuracy rate. An alternative to the PCR is clinical data, which is less expensive, easy to collect, and offers better accuracy. Machine learning, with its rich feature selection and classification methods, helps detect COVID-19 at the earliest stages, using clinical test results. This research proposes a clinical dataset and offers a comparative analysis of feature selection and classification algorithms for detecting COVID-19. Filter-based feature selection methods such as the ANOVA-F, chi-square, mutual information and Pearson correlation, along with wrapperbased methods such as Recursive Feature Elimination (RFE) and Sequential Forward Selection (SFS) were used to choose a subset of features from the feature set. The selected features were thereafter applied to the Support Vector Machine (SVM), Naïve Bayes, K-NN (K-Nearest Neighbor) and Logistic Regression(LR) classification algorithms to detect Coronavirus Disease. The experimental results of the comparative study show that the clinical dataset provides better accuracy at 94.8%, with mutual information and the SVM classifier
An Adaptive Framework for Resource Allocation Management in 5G Vehicular Networks
Get PDFVehicle-to-everything (V2X) communication is crucial in vehicular networks, for enhancing traffic safety by ensuring dependable and low latency services. However, interference has a significant impact on V2X communication when channel states are changed in a high mobility environment. Integration of next generation cellular networks such as 5G in V2X communication can solve this issue. Also, successful resource allocation among users achieves a better interference control in high mobility scenarios. This work proposes a novel resource allocation strategy for 5G cellular V2X communication based on clustering technique and Deep Reinforcement Learning (DRL) with the aim of maximizing systems energy efficiency and MVNO’s profit. DRL is used to distribute communication resources for the best interference control in high mobility scenarios. To reduce signalling overhead in DRL deployments, the proposed method adopted RRH grouping and vehicle clustering technique. The overall architecture is implemented in two phases. The first phase addresses the RRH grouping and vehicle clustering technique with the objective of maximising the energy efficiency of the system and the second phase addresses the technique of employing DRL in conjunction with bidding to optimise MVNO’s profit. Second phase addresses the resource allocation which is implemented in two level stage. First level addresses the bidding of resources to BS using bidding and DRL techniques and the second level addresses the resource allocation to users using Dueling DQN technique. Through simulations, the proposed algorithm's performance is compared with the existing algorithms and the results depicts the improved performance of the proposed system