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En Japón tampoco atan los perros con longaniza: la situación de la interpretación judicial nipona

En la entrada de hoy quiero hacerme eco de un artículo de Takahata Sachi que se titula «Las malas condiciones desincentivan a los intérpretes judiciales», publicado en Nippon.com y que versa acerca de la situación de los intérpretes judiciales en Japón. El artículo se puede leer en español, por lo que no hay motivo para tormento […]




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PLAZO HASTA EL 15 DE NOVIEMBRE PARA CAMBIAR EL SELLO DE TRADUCTOR JURADO

Con el entrada en vigor de la nueva normativa sobre traducción jurada a finales del año 2014, los traductores jurados nos enfrentamos a una serie de cambios que todavía siguen causando confusión. Uno de ellos,...

The post PLAZO HASTA EL 15 DE NOVIEMBRE PARA CAMBIAR EL SELLO DE TRADUCTOR JURADO appeared first on El Blog del Traductor Jurado.




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¡Feliz Día Traductores!





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Gauche radicale : demandez le pogrom !

CHRONIQUE. Les accusations de << genocide >> contre Israel se multiplient, revelant la derive antisioniste d'une partie de la gauche radicale.




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Enciende tu voz: el desafío de escribir tu primer libro

Este artículo es para ti si quieres embarcarte en una travesía única: la aventura de escribir tu primer libro. No estoy hablando de un libro […]

Origen




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¿Por dónde empiezo? Escribir un libro sin haber estudiado literatura

Publico este artículo para contestar a un comentario que he recibido y que me ha hecho reflexionar. El comentario de esta persona toca varios puntos […]

Origen




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Visualizing and Analyzing the Quality of XML Documents

In this paper we introduce eXVisXML, a visual tool to explore documents annotated with the mark-up language XML, in order to easily perform over them tasks as knowledge extraction or document engineering.

eXVisXML was designed mainly for two kind of users. Those who want to analyze an annotated document to explore the information contained-for them a visual inspection tool can be of great help, and a slicing functionality can be an effective complement.

The other target group is composed by document engineers who might be interested in assessing the quality of the annotation created. This can be achieved through the measurements of some parameters that will allow to compare the elements and attributes of the DTD/Schema against those effectively used in the document instances.

Both functionalities and the way they were delineated and implemented will be discussed along the paper.




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Cost-Sensitive Spam Detection Using Parameters Optimization and Feature Selection

E-mail spam is no more garbage but risk since it recently includes virus attachments and spyware agents which make the recipients' system ruined, therefore, there is an emerging need for spam detection. Many spam detection techniques based on machine learning techniques have been proposed. As the amount of spam has been increased tremendously using bulk mailing tools, spam detection techniques should counteract with it. To cope with this, parameters optimization and feature selection have been used to reduce processing overheads while guaranteeing high detection rates. However, previous approaches have not taken into account feature variable importance and optimal number of features. Moreover, to the best of our knowledge, there is no approach which uses both parameters optimization and feature selection together for spam detection. In this paper, we propose a spam detection model enabling both parameters optimization and optimal feature selection; we optimize two parameters of detection models using Random Forests (RF) so as to maximize the detection rates. We provide the variable importance of each feature so that it is easy to eliminate the irrelevant features. Furthermore, we decide an optimal number of selected features using two methods; (i) only one parameters optimization during overall feature selection and (ii) parameters optimization in every feature elimination phase. Finally, we evaluate our spam detection model with cost-sensitive measures to avoid misclassification of legitimate messages, since the cost of classifying a legitimate message as a spam far outweighs the cost of classifying a spam as a legitimate message. We perform experiments on Spambase dataset and show the feasibility of our approaches.




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Des dizaines de morts dans le sud-ouest du Pakistan après un attentat suicide

Des dizaines de morts dans le sud-ouest du Pakistan après un attentat suicide




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Avec l'Arizona, Donald Trump a désormais remporté la totalité des sept États clés

Avec l'Arizona, Donald Trump a désormais remporté la totalité des sept États clés




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Des frappes de Tsahal ont fait plus de 50 morts au Liban et à Gaza, tirs de roquettes sur Israël

Des frappes de Tsahal ont fait plus de 50 morts au Liban et à Gaza, tirs de roquettes sur Israël




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La COP29 en Azerbaïdjan : une première pour les talibans

La COP29 en Azerbaïdjan : une première pour les talibans




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La police arrête des dizaines de personnes à Amsterdam après l'interdiction de manifestations

La police arrête des dizaines de personnes à Amsterdam après l'interdiction de manifestations




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Moyen-Orient : Israël visé par des drones et des missiles. Lourd bilan à Gaza et au Liban

Moyen-Orient : Israël visé par des drones et des missiles. Lourd bilan à Gaza et au Liban




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Gaza : au moins trois morts après une frappe israélienne sur le camp de réfugiés de Nouseirat

Gaza : au moins trois morts après une frappe israélienne sur le camp de réfugiés de Nouseirat




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Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations

Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations




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Au moins 22 personnes tuées dans des frappes au Liban et à Gaza, et le cessez-le-feu au point mort

Au moins 22 personnes tuées dans des frappes au Liban et à Gaza, et le cessez-le-feu au point mort




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Trump va nommer les "faucons" Rubio et Waltz à la tête de la politique étrangère (rapports)

Trump va nommer les "faucons" Rubio et Waltz à la tête de la politique étrangère (rapports)




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L'aide militaire américaine à Israël va se poursuivre après un ajustement de l'aide à Gaza

L'aide militaire américaine à Israël va se poursuivre après un ajustement de l'aide à Gaza




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Les enfants de Gaza au Liban sont pris dans une autre guerre

Les enfants de Gaza au Liban sont pris dans une autre guerre












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British writer Samantha Harvey wins Booker Prize for space novel Orbital - Al Jazeera English

  1. British writer Samantha Harvey wins Booker Prize for space novel Orbital  Al Jazeera English
  2. Samantha Harvey’s ‘beautiful and ambitious’ Orbital wins Booker prize  The Guardian
  3. Samantha Harvey wins the Booker prize for “Orbital”  The Economist
  4. British writer Samantha Harvey’s space-station novel ‘Orbital’ wins 2024 Booker Prize  CNN
  5. Booker Prize Is Awarded to Samantha Harvey’s ‘Orbital’  The New York Times





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Lego Horizon Adventures is a delightful, kid-friendly twist on Horizon Zero Dawn - Polygon

  1. Lego Horizon Adventures is a delightful, kid-friendly twist on Horizon Zero Dawn  Polygon
  2. Lego Horizon Adventures Review  IGN
  3. How LEGO Horizon Adventures was built with real LEGO bricks, out Nov 14  PlayStation
  4. Lego Horizon Adventures: The Kotaku Review  Yahoo Entertainment
  5. Lego Horizon Adventures Sylens voice actor revealed following Lance Reddick’s passing  Video Games Chronicle





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Justin Welby resigns as archbishop of Canterbury over abuse scandal - Al Jazeera English

  1. Justin Welby resigns as archbishop of Canterbury over abuse scandal  Al Jazeera English
  2. Church of England head resigns over handling of sex abuse scandal  CTV News
  3. The four bishops at risk from child abuse cover-up report  The Telegraph
  4. The archbishop and the abuser  The Economist
  5. Archbishop of Canterbury Justin Welby resigns in abuse fallout: All to know  Al Jazeera English






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Exploring the impact of TPACK on Education 5.0 during the times of COVID-19: a case of Zimbabwean universities




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Urban public space environment design based on intelligent algorithm and fuzzy control

With the development of urban construction, its spatial evolution is also influenced by behavioural actors such as enterprises, residents, and environmental factors, leading to some decision-making behaviours that are not conducive to urban public space and environmental design. At the same time, some cities are vulnerable to various factors such as distance factors, transportation factors, and human psychological factors during the construction of public areas, resulting in a decline in the quality of urban human settlements. Urban public space is the guarantee of urban life. For this, in order to standardise urban public space and improve the quality of urban living environment, the standardisation of the environment of urban public space is required. The rapid development of intelligent algorithms and fuzzy control provides technical support for the environmental design of urban public spaces. Through the modelling of intelligent algorithms and the construction of fuzzy space, it can meet the diverse.




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Effectiveness of Program Visualization: A Case Study with the ViLLE Tool




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Realizing Learning in the Workplace in an Undergraduate IT Program




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Algorithm Visualization System for Teaching Spatial Data Algorithms




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Real World Project: Integrating the Classroom, External Business Partnerships and Professional Organizations




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Two-Dimensional Parson’s Puzzles: The Concept, Tools, and First Observations




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Utilizing BlueJ to Teach Polymorphism in an Advanced Object-Oriented Programming Course




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Business Intelligence in College: A Teaching Case with Real Life Puzzles




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Recognizing and Managing Complexity: Teaching Advanced Programming Concepts and Techniques Using the Zebra Puzzle

Teaching advanced programming can be a challenge, especially when the students are pursuing different majors with diverse analytical and problem-solving capabilities. The purpose of this paper is to explore the efficacy of using a particular problem as a vehicle for imparting a broad set of programming concepts and problem-solving techniques. We present a classic brain teaser that is used to communicate and demonstrate advanced software development concepts and techniques. Our results show that students with varied academic experiences and goals, assuming at least one procedural/structured programming pre-requisite, can benefit from and also be challenged by such an exercise. Although this problem has been used by others in the classroom, we believe that our use of this problem in imparting such a broad range of topics to a diverse student population is unique.




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Categorizing the Educational Affordances of 3 Dimensional Immersive Digital Environments

Aim/Purpose: This paper provides a general-purpose categorization scheme for assessing the utility of new and emerging three-dimensional interactive digital environments (3D-IDEs), along with specific pedagogic approaches that are known to work. It argues for the use of 3D-IDEs on the basis of their ludic appeal and ability to provide intrinsic motivation to the learner, and their openness that allows the learner to gain a more holistic understanding of a topic. Background: Researchers have investigated the affordances, benefits, and drawbacks of individual 3D-IDEs, such as virtual worlds, but teachers lack a general-purpose approach to assessing new 3D-IDEs as they appear and applying them to teaching practice. Methodology: The categorization scheme is based on the analysis, reflection, and comprehension of the research on limitations, challenges, and opportunities for teaching in virtual environments by Angel Rueda, Valdes Godines and Guzmán Flores; the scheme is discussed in terms of an experiment to trial virtual genetics labs in Second Life. Contribution: The paper describes a general-purpose approach to applying existing and new 3D virtual spaces to education, shows a worked example of the use of the categories, and describes six approaches to consider in applying these technologies. Findings: 3D-IDEs are categorized in terms of the way in which they interface with the user’s senses and their ability to provide ‘immersion’; two forms of immersion are examined: digital perceptual immersion – the generated sense of reality – and ludic narrative immersion – a less cognitive and more emotional engagement with the learning environment. Recommendations for Practitioners: Six specific forms of pedagogy appropriate for 3D-IDEs are examined and discussed, in terms of the affordances and technology required, as assessed by the categorization scheme. More broadly, the paper argues for a change in the assessment of new digital technologies from the technology’s features to its affordances and the pedagogies it can support. Recommendation for Researchers: The paper offers a practical approach to choosing and using 3D-IDEs for education, based upon previous work. The next step is to trial the scheme with teachers to ascertain its ease of use and effectiveness. Impact on Society: The paper argues strongly for a new approach to teaching, where the learner is encouraged to use 3D-IDEs in a ludic manner in order to generate internal motivation to learn, and to explore the topic according to their individual learning needs in addition to the teacher’s planned route through the learning material. Future Research: The categorization scheme is intended to be applied to new technologies as they are introduced. Future research is needed to assess its effectiveness and if necessary update the scheme.




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Rubric for Measuring and Visualizing the Effects of Learning Computer Programming for Elementary School Students

Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students’ capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary school students enrolled in computer science education (CSE), which is independent of the programming language being used. Background: In this research, we proposed a rubric based on existing CSE standards and criteria having a programming education-learning goal. We then applied this rubric to actual lessons to visualize the educational effects. Methodology: The proposed new rubric for teaching computer programming, based on existing standards and criteria, was applied to fourth- and sixth-grade students in Japan. We assessed which skills were cultivated through quizzes before and after the teaching. Contribution: This paper contributes on how to make and utilize a rubric for programming education in computer science. We evaluated and visualized the proposed rubric’s learning effects on children and found that our proposed rubrics are independent of any particular method or tool. Findings: The results of this survey are twofold: (1) we proposed a rubric of programming education in computer science, independent of the programming tools used and (2) we succeeded in visualizing students’ learning stages by applying the proposed rubric to programming education conducted in a Japanese elementary school. Recommendations for Practitioners: Evaluating educational effects in CSE is important. In particular, graded assessments of learner abilities can reveal individual characteristics. This research is useful for assessing CSE because it focuses specifically on programming education. Recommendation for Researchers: The rubric’s suggestions and quality improvements in CSE help learners assess their learning progress and will clarify the cultivated computer science skills. Impact on Society: This research evaluates CSE based on a rubric in the programming education field. Future Research: Future work is needed to improve the proposed rubric’s quality and relevance. Also, this rubric should be applied to many classes to increase the number of evaluations and analyses.




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Categorizing Well-Written Course Learning Outcomes Using Machine Learning

Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based Education. However, the CLOs definition is still presenting a big handicap for faculties. There is a lack of supported tools and models that permit to predict whether a CLO is well written or not. Consequently, educators need an expert in quality and education to validate the outcomes of their courses. Methodology: A novel method named CLOCML (Course Learning Outcome Classification using Machine Learning) is proposed in this paper to develop predictive models for CLOs paraphrasing. A new dataset entitled CLOC (Course Learning Outcomes Classes) for that purpose has been collected and then undergone a pre-processing phase. We compared the performance of 4 models for predicting a CLO classification. Those models are Support Vector Machine (SVM), Random Forest, Naive Bayes and XGBoost. Contribution: The application of CLOCML may help faculties to make well-defined CLOs and then correct CLOs' measures in order to improve the quality of education addressed to their students. Findings: The best classification model was SVM. It was able to detect the CLO class with an accuracy of 83%. Recommendations for Practitioners: We would recommend both faculties’ members and quality reviewers to make an informed decision about the nature of a given course outcome. Recommendation for Researchers: We would highly endorse that the researchers apply more machine learning models for CLOs of various disciplines and compare between them. We would also recommend that future studies investigate on the importance of the definition of CLOs and its impact on the credibility of Key Performance Indicators (KPIs) values during accreditation process. Impact on Society: The findings of this study confirm the results of several other researchers who use machine learning in outcome-based education. The definition of right CLOs will help the student to get an idea about the performances that will be measured at the end of a course. Moreover, each faculty can take appropriate actions and suggest suitable recommendations after right performance measures in order to improve the quality of his course. Future Research: Future research can be improved by using a larger dataset. It could also be improved with deep learning models to reach more accurate results. Indeed, a strategy for checking CLOs overlaps could be integrated.




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Utilizing Design Thinking to Create Digital Self-Directed Learning Environment for Enhancing Digital Literacy in Thai Higher Education

Aim/Purpose: To explore the effectiveness of utilizing the design thinking approach in developing digital self-directed learning environment to enhance digital literacy skills in Thai higher education. Background: To foster digital literacy skills in higher education, Thai students require more than access to technology. Emphasizing digital self-directed learning and incorporating Design Thinking approach, can empower students to learn and develop their digital skills effectively. This study explores the impact of digital self-directed learning environment, developed using a design thinking approach, on enhancing digital literacy skills among higher education students in Thailand. Methodology: The research methodology involves developing a digital self-directed learning environment, collecting and analyzing data, and using statistical analysis to compare the outcomes between different groups. The sample includes 60 undergraduate students from the School of Industrial Education and Technology at King Mongkut Institute of Technology, divided into a control group (n=30) and an experimental group (n=30). Data analysis involves mean, standard deviation, and one-way MANOVA. Contribution: This research contributes to the evidence supporting the use of Design Thinking in developing digital self-directed learning environment, demonstrating its effectiveness in meeting learners’ needs and improving learning outcomes in higher education. Findings: Key findings include: 1) the digital media and self-directed learning activities plan developed through the design thinking approach received high-quality ratings from experts, with mean scores of 4.87 and 4.93, respectively; and 2) post-lesson comparisons of learning outcome and digital literacy assessment scores revealed that the group utilizing digital media with self-directed learning activities had significantly higher mean scores than the traditional learning group, with a significance level of 0.001. Recommendations for Practitioners: Practitioners in higher education should use design thinking to develop digital self-directed learning environments that enhance digital literacy skills. This approach involves creating high-quality digital media and activities, promoting engagement and improved outcomes. Collaboration and stakeholder involvement are essential for effective implementation. Recommendation for Researchers: Researchers should continue to explore the effectiveness of design thinking approaches in the development of learning environments, as well as their influence on different educational aspects such as student engagement, satisfaction, and overall learning outcomes. Impact on Society: By enhancing digital literacy skills among higher education students, this study contributes to the development of a digitally skilled workforce, encourages lifelong learning, and aids individuals in effectively navigating the challenges of the digital era. Future Research: Future research could explore a broader range of student demographics and educational settings to validate the effectiveness of the Design Thinking approach in enhancing digital literacy. This could include integrating design thinking with alternative digital learning and teaching methods to further improve digital literacy.




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The Utilization of 3D Printers by Elementary-Aged Learners: A Scoping Review

Aim/Purpose: This review’s main objective was to examine the existing literature on the use of 3D printers in primary education, covering students aged six to twelve across general, special, and inclusive educational environments. Background: A review of the literature indicated a significant oversight – prior reviews insufficiently distinguish the application of 3D printing in primary education from its utilization at higher educational tiers or focused on particular subject areas and learning domains. Considering the distinct nature and critical role of primary education in developing young students’ cognitive abilities and skills, it is essential to concentrate on this specific educational stage. Methodology: The scoping review was selected as the preferred research method. The methodological robustness was augmented through the utilization of the backward snowballing technique. Consequently, a total of 50 papers were identified and subjected to thorough analysis. Contribution: This review has methodically compiled and analyzed the literature on 3D printing use among elementary students, offering a substantial addition to academic conversations. It consolidated and organized research on 3D printers’ educational uses, applying robust and credible criteria. Findings: Many studies featured small sample sizes and limited research on inclusive and special education. The analysis revealed 82 distinct research goals and 13 educational fields, with STEM being the predominant focus. Scholars showed considerable interest in how 3D printers influence skills like creativity and problem-solving, as well as emotions such as engagement and motivation. The majority of studies indicated positive outcomes, enhancing academic achievement, engagement, collaboration, creativity, interest, and motivation. Nonetheless, challenges were noted, highlighting the necessity for teacher training, the expense of equipment, technical difficulties, and the complexities of blending new methods with traditional curricula. Recommendations for Practitioners: To capitalize on the benefits that 3D printers bring, curriculum planners are urged to weave them into their programs, ensuring alignment with educational standards and skill development. The critical role educators play in the effective implementation of this technology necessitates targeted professional development programs to equip them with the expertise for successful integration. Moreover, 3D printing presents a unique opportunity to advance inclusive education for students with disabilities, offering tailored learning experiences and aiding in creating assistive technologies. In recognizing the disparities in access to 3D printing, educational leaders must address the financial and logistical barriers highlighted in the literature. Strategic initiatives are essential to democratize 3D printing access, ensuring all students benefit from this educational tool. Recommendation for Researchers: Comparative studies are critical to elucidate the specific advantages and limitations of 3D printing technology due to the scarcity of research contrasting it with other tools. The variability in reporting durations of interventions and research environments underscores the necessity for uniform methodologies and benchmarks. Because research has predominantly focused on STEM/STEAM education, expanding into different educational areas could provide a comprehensive understanding of 3D printing’s capabilities. The existence of neutral and negative findings signals an opportunity for further investigation. Exploring the factors that impede the successful integration of 3D printing will inform the creation of superior pedagogical approaches and technological refinements. Future Research: As the review confirmed the significant promise of 3D printing technology in enriching education, especially in the context of primary education, the imperative for continued research to refine its application in primary education settings is highlighted.