Training Competences in Industrial Risk Prevention with Lego® Serious Play®: A Case Study

This paper proposes the use of the Lego® Serious Play® (LSP) methodology as a facilitating tool for the introduction of competences for Industrial Risk Prevention by engineering students from the industrial branch (electrical, electronic, mechanical and technological engineering), presenting the results obtained in the Universities of Cadiz and Seville in the academic years 2017–2019. Current Spanish legislation does not reserve any special legal attribution, nor does it require specific competence in occupational risk prevention for the regulated profession of a technical industrial engineer (Order CIN 351:2009), and only does so in a generic way for that of an industrial engineer (Order CIN 311:2009). However, these universities consider the training in occupational health and safety for these future graduates as an essential objective in order to develop them for their careers in the industry. The approach is based on a series of challenges proposed (risk assessments, safety inspections, accident investigations and fire protection measures, among others), thanks to the use of “gamification” dynamics with Lego® Serious Play®. In order to carry the training out, a set of specific variables (industrial sector, legal and regulatory framework, business organization and production system), and transversal ones (leadership, teamwork, critical thinking and communication), are incorporated. Through group models, it is possible to identify dangerous situations, establish causes, share and discuss alternative proposals and analyze the economic, environmental and organizational impact of the technical solutions studied, as well as take the appropriate decisions, in a creative, stimulating, inclusive and innovative context. In this way, the theoretical knowledge which is acquired is applied to improve safety and health at work and foster the prevention of occupational risks, promoting the commitment, effort, motivation and proactive participation of the student teams.Spanish Ministry of Science, Innovation and Universities / European Social Fund: Ramón y Cajal contract (RYC-2017-22222

Training Competences in Industrial Risk Prevention with Lego (R) Serious Play (R): A Case Study

This paper proposes the use of the Lego (R) Serious Play (R) (LSP) methodology as a facilitating tool for the introduction of competences for Industrial Risk Prevention by engineering students from the industrial branch (electrical, electronic, mechanical and technological engineering), presenting the results obtained in the Universities of Cadiz and Seville in the academic years 2017-2019. Current Spanish legislation does not reserve any special legal attribution, nor does it require specific competence in occupational risk prevention for the regulated profession of a technical industrial engineer (Order CIN 351:2009), and only does so in a generic way for that of an industrial engineer (Order CIN 311:2009). However, these universities consider the training in occupational health and safety for these future graduates as an essential objective in order to develop them for their careers in the industry. The approach is based on a series of challenges proposed (risk assessments, safety inspections, accident investigations and fire protection measures, among others), thanks to the use of "gamification" dynamics with Lego (R) Serious Play (R). In order to carry the training out, a set of specific variables (industrial sector, legal and regulatory framework, business organization and production system), and transversal ones (leadership, teamwork, critical thinking and communication), are incorporated. Through group models, it is possible to identify dangerous situations, establish causes, share and discuss alternative proposals and analyze the economic, environmental and organizational impact of the technical solutions studied, as well as take the appropriate decisions, in a creative, stimulating, inclusive and innovative context. In this way, the theoretical knowledge which is acquired is applied to improve safety and health at work and foster the prevention of occupational risks, promoting the commitment, effort, motivation and proactive participation of the student teams

Connecting with Users: Developing Personas for The Improvement Of The Smithsonian’s Museum on Mainstreet WaterSim America App

abstract: The WaterSim America is an interactive iPad game app included with the exhibition that takes users through several scenarios and asks them to make decisions about how their town’s water supply should be distributed among a variety of user groups, including townspeople, farming, industry, and energy. The purpose of this applied project was to design user personas which will be used by the developers at Arizona State University’s (ASU) Decision Center for a Desert City (DCDC) to improve the Smithsonian’s WaterSim America app (SWSA) that they designed for the new Smithsonian Institute’s Water Ways Traveling Exhibition (SWWTE) and to recommend improvements to the app. To do this, I created a contextual inquiry with select SWWTE user groups in Alabama, Florida, and Georgia to observe the app in the context of use. The primary goal of this research was to observe potential users engaging with the app and then interview them about their experiences with the app. Based on the research, I offer six recommendations to improve the educational value of the WSAA. This report includes the research methods of this study, participants’ feedback and seven user personas based on the research.Master's Applied Projec

Reproduction of Captured Imagery via Machine Learning and Device Locomotion

Aspects of the present disclosure are directed to mobile robotic devices that are capable of reproducing captured imagery (e.g., images captured by a camera that is on-board the robotic device) through the use of device locomotion. For example, the robotic device can capture (or be operated to capture) an image (e.g., a self-portrait photograph which is also known as a “selfie”) and can then reproduce the image (e.g., a stylized version thereof) by controlling motion of at least a part of the robotic device to draw at least a portion of the captured scene onto a medium. For example, the robotic device can move a portion of the device that holds a pen, pencil, marker, paintbrush, etching tool, and/or the like to draw the scene onto a piece of paper, wood, canvas, glass, metal, etc. In addition, in some implementations, machine learning techniques such as “style transfer” techniques can be used to stylize the captured imagery into a particular style (e.g., a pencil sketch style portrait) prior to reproduction

SOCR: Statistics Online Computational Resource

The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an integrated educational web-based framework for: interactive distribution modeling, virtual online probability experimentation, statistical data analysis, visualization and integration. Following years of experience in statistical teaching at all college levels using established licensed statistical software packages, like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have attempted to engineer a new statistics education environment, the Statistics Online Computational Resource (SOCR). This resource performs many of the standard types of statistical analysis, much like other classical tools. In addition, it is designed in a plug-in object-oriented architecture and is completely platform independent, web-based, interactive, extensible and secure. Over the past 4 years we have tested, fine-tuned and reanalyzed the SOCR framework in many of our undergraduate and graduate probability and statistics courses and have evidence that SOCR resources build student's intuition and enhance their learning.

Timely approaches to identify probiotic species of the genus Lactobacillus

Over the past decades the use of probiotics in food has increased largely due to the manufacturer's interest in placing "healthy" food on the market based on the consumer's ambitions to live healthy. Due to this trend, health benefits of products containing probiotic strains such as lactobacilli are promoted and probiotic strains have been established in many different products with their numbers increasing steadily. Probiotics are used as starter cultures in dairy products such as cheese or yoghurts and in addition they are also utilized in non-dairy products such as fermented vegetables, fermented meat and pharmaceuticals, thereby, covering a large variety of products.To assure quality management, several pheno-, physico- and genotyping methods have been established to unambiguously identify probiotic lactobacilli. These methods are often specific enough to identify the probiotic strains at genus and species levels. However, the probiotic ability is often strain dependent and it is impossible to distinguish strains by basic microbiological methods.Therefore, this review aims to critically summarize and evaluate conventional identification methods for the genus Lactobacillus, complemented by techniques that are currently being developed.1\. Auflag

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text description. Specifically, the goal of the competition is to increase the accessibility and usability of optimization solvers by allowing non-experts to interface with them using natural language. We separate this challenging goal into two sub-tasks: (1) recognize and label the semantic entities that correspond to the components of the optimization problem; (2) generate a meaning representation (i.e., a logical form) of the problem from its detected problem entities. The first task aims to reduce ambiguity by detecting and tagging the entities of the optimization problems. The second task creates an intermediate representation of the linear programming (LP) problem that is converted into a format that can be used by commercial solvers. In this report, we present the LP word problem dataset and shared tasks for the NeurIPS 2022 competition. Furthermore, we investigate and compare the performance of the ChatGPT large language model against the winning solutions. Through this competition, we hope to bring interest towards the development of novel machine learning applications and datasets for optimization modeling

ENGLISH MATERIAL NEEDS OF AUTOMOTIVE TECHNOLOGY STUDENTS: AN ESP APPROACH

English for automotive technology is a specific discipline in which the students require particular language learning materials to meet their academic and future career needs. Hence, contextual material is a prerequisite to achieving the success of language learning. Drawing on this issue, the present study identified the English material needs of automotive technology students for working in vehicle inspection. The required data were collected using a web-based questionnaire and semi-structured interview from 186 students, 7 English lecturers, and 44 graduates of Poltrada Bali and PKTJ Tegal Indonesia who were purposively selected as the participants. This study classified English materials into content areas of automotive technology, language skills, and linguistic features. The results revealed that content areas needed by the students included vehicle components and their performances, ranging from engine system to support components. This study further suggested that speaking and reading were the most frequently needed skills than the other two skills because of the rapid growth of Information, Communication and Technology (ICT) and the needs of international information exchange in the automotive field. It was also depicted that the students preferred applied terminologies and translation to grammar since many automotive technology references and vehicle inspection were normally written in English. The results of this study could serve as an overview for lecturers and institution in automotive technology program to create standard syllabus and contextual material textbooks for the students

Designing tools and interventions for a more engaging formative feedback process

textTo teach effectively, teachers rely on feedback from their students. But students often dislike conventional forms of feedback such as taking tests or answering questions in front of their peers. For my MFA thesis project, I have designed tools that k-12 educators can use to elicit formative feedback, even from quiet and reserved students and those who do not feel their feedback is of value. My overarching intent with these lowstakes, low-tech, inexpensive tools is to improve teaching and learning. By giving teachers tools that generate useful feedback in a way that is low-stakes for the students, all students are given a voice. Through this design process, I also developed some generalizable principles about the way in which good formative feedback can be elicited in learning environments.Desig