Current State of High-School Students’ Multiliteracy after a Year of Online Lessons in the Context of Chile

<p style="text-align: justify;">The worldwide pandemic Coronavirus disease, affected every aspect of people’s lives due to being locked at their homes, therefore many difficulties began to appear, especially in education. Scholars were the leading group that has been affected the most due to the online lessons that began from one day to another, without any kind of previous training specifically in these types of contexts at home. According to some national diagnostical studies, most of the students could not achieve the minimum educational objectives in mathematics and language, which are the essential subjects in Chilean education. In this study, in which qualitative phenomenology analysis was used, the aim was to reveal the current state of students after a whole year of online lessons in terms of personal technological use and personal perceptions about e-learning. In this study, in which the criterion sampling was used, semi-structured interviews were conducted with 10 adolescents from different sorts of schools who experienced online lessons using their previous personal knowledge in Information and Communication Technologies. The data were analyzed in Nvivo node tree, which revealed six main themes that define the experience and personal perception of the participants: adaptation to the new order, learning by their own, how to use better the technology, use of social media, new ways of personal knowledge sharing, importance of classmates. It is believed that the results obtained from this study will contribute to schools’ view of learning and teaching education in the 21st century and to improve students’ experiences in online lessons.</p>

Learning self-driven collective dynamics with graph networks

Despite decades of theoretical research, the nature of the self-driven collective motion remains indigestible and controversial, while the phase transition process of its dynamic is a major research issue. Recent methods propose to infer the phase transition process from various artificially extracted features using machine learning. In this thesis, we propose a new order parameter by using machine learning to quantify the synchronization degree of the self-driven collective system from the perspective of the number of clusters. Furthermore, we construct a powerful model based on the graph network to determine the long-term evolution of the self-driven collective system from the initial position of the particles, without any manual features. Results show that this method has strong predictive power, and is suitable for various noises. Our method can provide reference for the research of other physical systems with local interactions.

Validation of an Aesthetic Assessment System for Commercial Tasks

Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical applications. Even so, it remains a difficult task given the subjectivity and complexity of the problem. An image aesthetics assessment system was developed in recent years by our research group. In this work, its potential to be applied in commercial tasks is tested. With this objective, a set of three portals and three real estate agencies in Spain were taken as case studies. Images of their websites were taken to build the experimental dataset and a validation method was developed to test their original order with another proposed one according to their aesthetic value. So, in this new order, the images that have the high aesthetic score by the AI system will occupy the first positions of the portal. Relevant results were obtained, with an average increase of 52.54% in the number of clicks on the ads, in the experiment with Real Estate portals. A statistical analysis prove that there is a significant difference in the number of clicks after selecting the images with the AI system.

Digitalism and Jobs of the Future

There has been a strong relationship between digitalism and the future of jobs. Reports by OECD and WEF examined the jobs in the coming decades, and the findings show that there is a completely new order in the professions that we are not familiar with. In addition, how the impacts of artificial intelligence (AI), machine learning, data science, and robotics have affected labour, the market is analyzed. The findings in the reports clearly would affect the careers of the next generations. With the post-pandemic developments and the rapid advancement of technology in many areas worldwide, digitalization has gained significant momentum. This situation manifested itself in professions and workforce. However, it is obvious that in the coming years, with digitalization, many occupational groups and accordingly, differences in skills will be seen. While some occupational groups disappear completely, it is seen that some new occupational groups will emerge and, some will transform.

Survival Strategy Restaurant Business during the Covid-19 Pandemic

The occurrence of the Covid-19 pandemic forced the entire community to adjust itself by implementing a new order of life known as the “new normal” in every activity. Likewise, restaurant businesses are not immune from the impact of the Covid- 19 pandemics, so adjustments must be made so that restaurants can continue to operate and customer health and safety-related to Covid-19 can be carried out properly and correctly. To increase the sales volume of its products, it can do several things, including Lower Menu Prices, Give Special Discounts, Create More Durable Food Packaging, Prepare Food Delivery, Restaurant Business Starts Switching to Use Technology, Communication Between Businesses & Customers, Perform Marketing Plans and Pay Attention to Current Culinary Trends. Meanwhile, to make the restaurant operational cost-efficient, several strategies can be carried out, including Designing Cost Control Measure (CCM), re-identifying budgeting short-term and long-term, prioritizing cash flow safe and stable, reorganizing or redesigning the largest expenditure, and planning a more efficient division of labor fair and impartial. Furthermore, to guarantee customer safety from being exposed to Covid-19, restaurants can do the following: Communicate Safety and sanitation measures clearly and consistently, Avoid self-served dishes, Advice to maintain distance, Make strict rules regarding the use of masks on staff and diners, Offers waiting list and online pre-order facilities, Continues to offer no-contact options, Competes aggressively with retail options, Offers packaged dining options in the long term, Performs clear and systematic cleaning.