Gamification and Augmented Reality (Journal)
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Edublog for teaching mathematical modeling in ecology
No full textGiven the limited number of interactive educational resources for learning dynamic modelling in ecology, we seek to promote the use of Vensim software in the Quantitative Ecology course taught in the Biology degree program at FES Zaragoza. The objective was to develop an educational blog containing practical exercises solved step by step, covering from simple models to more complex ones, such as predator-prey models, management of aquatic systems and environmental processes. The exercises were addressed in a sequence that helps students understand ecological processes and strengthen their skills in mathematical modelling. The implementation of the edublog seeks, through step-by-step activities and simulations, to reinforce in students their ability to use modelling and simulation software tools, essential for their training in the area of quantitative ecology. The impact of the edublog was reviewed by applying a questionnaire to measure the clarity, relevance and usefulness of the content. Generating an academic support resource accessible at any time and from any place with an Internet connection, so that the student understands and applies the concepts of mathematical modeling from the perspective of technology-mediated self-learning
Virtual simulations as an innovative technology for the modernization of medical education
No full textThe study is focused on highlighting the features of virtual simulations as an innovative technology of modern medical education. The study used economic and statistical analysis, systematization, secondary data analysis, and comparative analysis to assess the development of the virtual reality market in education and to classify virtual simulations in medical education and evaluate their advantages and limitations. It has been found that virtual reality in education is becoming increasingly popular due to its potential to transform the educational process, and it has been determined that predictions until 2028 indicate a significant growth of this market due to increased investment and demand for innovative educational solutions. The main types of virtual simulations for teaching healthcare specialties are systematized and graphically presented, in particular: virtual patients for training clinical skills, clinical procedure simulators, virtual laboratories for online experiments, specialized programs for diseases, and an interactive table for learning to work with medical equipment. The advantages of virtual simulations, such as safe experimentation, simulation of complex situations, and the possibility of individualizing learning, are thoroughly identified. The influence of virtual simulations on the development of critical thinking, communication skills and the ability to adapt to changes in the professional environment is investigated. This study has made important conclusions about the effectiveness of virtual simulations as a useful tool for preparing future medical professionals for the challenges of the modern labor market
Guardians of the Web: Harnessing Machine Learning to Combat Phishing Attacks
No full textPhishing remains one of the most dangerous threats to internet users and organizations today since it utilizes spoofed websites to coax users into revealing their data. This paper focuses on the effectiveness of algorithms in detecting such abusive websites. It goes on to analyze the dataset of phishing and non- phishing URLs providing explanatory attributes such as domain registration date, URL length or the existence of HTTPS. The models studied include Decision Tree, Random Forest, and Support Vector Machines. The results found that the Random Forest algorithm had the best performance of 97% in terms of classification accuracy, and Support Vector Machines performed the best in terms of generalization accuracy with precision and recall values of 0.92 and 0.95, respectively. The study investigates feature selection and determinants of URL structural features which are crucial in determining the efficiency of detection. Also, to enhance model assessment the stratified 10-fold cross-validation technique was performed to reduce bias and variance. These Results show the prospect of One Layer Neural Networks as a tool to improve Phishing Detection Systems and help to provide low-cost and fast solutions for current or future cyberspace struggles. This work aims to increase confidence in online security applications against modern phishing methods.The proposed modifications will help strengthen counter measures against phishing attacks in a shifting technological context while also working towards sustaining the organizations and thus require further inquiry into the facets such as the applicability of sophisticated artificial intelligence techniques the use of useful yet diverse sets of data and the incorporation of explainable intelligent system
Machine learning-based prediction and classification of psychiatric symptoms induced by drug and plants toxicity
No full textPsychiatric disorders induced by drug and plant toxicity represent a complex and underexplored area in medical research. Exposure to substances such as pharmaceuticals, illicit drugs, and environmental toxins can trigger a wide range of neuropsychiatric symptoms. This study proposes the development of a machine learning (ML) model to predict and classify these symptoms by analyzing open-access, de-identified datasets. Supervised and unsupervised learning techniques, including neural networks and algorithms like XGBoost, were applied to distinguish drug-induced psychiatric conditions from primary psychiatric disorders. The models were evaluated using metrics such as accuracy, precision, recall, and AUC-ROC. The XGBoost model demonstrated the best performance, achieving an AUC-ROC of 94.8%, making it a promising tool for clinical decision-support systems. This approach can improve early detection and intervention for psychiatric symptoms associated with drug toxicity, contributing to safer and more personalized healthcare
Innovative approaches to learning foreign languages: the impact of virtual reality on overcoming the language barrier
No full textThe study is aimed at highlighting the peculiarities of using virtual reality in the educational practice of learning foreign languages. The study uses an economic and statistical method to assess the dynamics of the virtual reality market in education and forecast its development until 2029, as well as graphical display methods to visualize changes in interest in VR and market trends. The content analysis was used to systematize the advantages and disadvantages of VR in language learning, the comparative analysis method to correlate different VR platforms, the logical generalization method to summarize information about the functionality of the platforms, and the systematization method to formulate the advantages and disadvantages of using virtual reality in the process of learning foreign languages. The study found that the use of virtual reality in education has been growing rapidly over the past ten years, and the COVID-19 pandemic has spurred this active developmen
The ABCs of using the Internet.” A techno-pedagogical proposal for digital inclusion, for people aged 45 to 54
No full textIntroduction: The article analyzed the widening of the digital divide in terms of age, geographical context, educational level and economic occupation. It focused on the 45-54 age group, who faced greater challenges in accessing and using digital technologies. Lack of infrastructure, affordability and digital literacy were identified as the main factors hindering their digital inclusion.Development: During the COVID-19 pandemic, inequality in Internet access became more evident, especially affecting vulnerable sectors such as people without formal education or with low incomes. The government implemented strategies focused on infrastructure, but neglected digital literacy, which limited the real use of ICT. According to INEGI (2023), 33.3% of people without mobile devices mentioned economic problems as the main cause, while 15.7% indicated lack of knowledge in their use. Generation X, being at an intermediate stage of technology adoption, needed specific strategies to bridge the digital divide. An intervention model based on workshops called “The ABCs of Using the Internet” was proposed to facilitate the acquisition of digital skills.Conclusion: The study concluded that the digital divide was not only related to infrastructure, but also to training and affordability. Digital literacy was presented as a necessity and not as a choice. The importance of creating adequate training spaces to guarantee the inclusion of all people was highlighted, preventing the lack of access to technology from deepening social inequality
Edublog for applications of linear differential equations, in Biology
No full textConsidering the need for accessible and focused educational material in the ecological-biological area, the development of an edublog is presented to assist in the understanding and application of first-order linear differential equations (LDEs) in the mathematical modeling of ecological processes. It provides detailed explanations of concepts such as exponential growth and decay, logistic growth, Newton’s law of cooling, and the mixing model, with step-by-step solutions to examples focused on biology, both typed and handwritten. The edublog is now available to students and is presented to a group of Mathematics II students from the Biology program at FES Zaragoza, who provide feedback after exploring each option on the menu. Subsequently, these students have used screenshots from the blog’s examples in some of their presentations, indicating that the resource is proving useful. This blog is complemented by another one on integration techniques, with the same focus on showing step-by-step solutions to exercises, aiming to create a virtual learning environment on integral calculus and the applications
Artificial Intelligence in Nursing: applications, challenges and future directions
No full textIntroduction: the digital transformation, which is happening at great speed, has had an impact on all sectors of society and requires nursing to rethink its professional practices, value ongoing training and actively participate in the ethical and contextualized development of these technologies.Objective: to analyze the influence of Artificial Intelligence in Nursing, highlighting its transformative potential in the fields of education, practice and care management. Method: a search was carried out in databases and a critical-reflective analysis of the articles found was performed.Results: artificial Intelligence enables the automation of tasks, predictive data analysis and clinical decision support, contributing to more efficient and person-centered care. However, its integration raises ethical, legal and training challenges, requiring digital literacy and critical reflection. The importance of nurses\u27 active participation in the development, implementation and evaluation of these technologies is highlighted, as well as the need for curricular reform in higher education. The creation of specific training platforms could support the continuous training of professionals. Conclusion: the healthcare institutions must define clear guidelines for the use of Artificial Intelligence, recognizing it as a complementary tool to human work. The critical discernment of nurses is essential to ensure ethical and person-centered use
Applications of augmented reality in museums, impact on cultural heritage
No full textIntroduction: the museum is a site that collects, exhibits, researches and classifies material objects that represent nature and human cultural heritage. They are one of the sources of knowledge about history and culture. To face the current digital revolution they have used technologies such as augmented reality. The objective was to characterize the application of augmented reality (AR) technology in museums.
Methods: a total of 20 articles in Spanish and English were reviewed, from Science, Scielo and Dialnet; using as keywords: augmented reality, museum, museum exhibits, interactive exhibits, immersive technologies, being more than 50 % of the last five years.
Results: the vast majority of museums as institutions try to find various methods to excite and involve their audiences. The technology behind AR improves visitor perception, as historical and cultural relics can be displayed through augmented reality and virtual compositions. The AR also ensures accessories and applications to improve the experience at the center, resulting in greater educational, historical and social impact.
Conclusions: augmented reality technology in museums makes it possible to captivate diverse audiences, adapt to the personal interests of the visitor, remodel the design of exhibitions, the combination of art and technology, improve understanding and ensure positivity of the museum experience. This is guaranteed through mobile applications, accessories and websites
A research on a music recommendation system based on facial expressions through deep learning mechanisms
No full textIn this study, we propose a new music recommendation system (MRS) that combines facial expression recognition technology and deep learning algorithms to respond to the changing music industry environment and provide personalized music recommendations based on the user\u27s emotional state. Our approach includes a thorough study of facial expression recognition, emotion-based music recommendation systems, and deep learning engines, as well as a detailed presentation of the MRS design, system architecture, and deep learning engines used. Through extensive experiments, we evaluate MRS\u27s ability to accurately recognize facial expressions, filter music based on emotional states, and effectively recommend music to users. We analyze the results of follow-up experiments to identify the strengths and limitations of MRS compared to existing approaches, and conduct a comparative study with the latest music recommendation systems based on deep learning and emotion. This comparison highlights the originality and potential of the proposed MRS system to improve user experience and promote the development of artificial intelligence-based music recommendation systems. This study demonstrates the problem of accurately determining a user\u27s emotional state from facial expressions, which requires the integration of facial expression recognition systems, deep learning, and music recommendation systems. Using advanced deep learning techniques and a comprehensive experimental setup, the proposed MRS provides a solution to this problem by facilitating accurate emotional state identification and personalized music recommendations. Overall, MRS represents a powerful and innovative response to the growing demand for accurate and reliable music recommendations and shows significant potential for future collaboration and development of AI-based music recommendation systems