Educational Robotics and Attention to Diversity: A Case Study

<p style="text-align: justify;">In this study we focus our research on the case analysis of an eleven-year-old boy and his close relationship with technology, specifically robotics. The methodology of the study is experimental in nature, with the aim of improving the subject's attention span through robotics, thereby favouring his educational process and, consequently, his overall development. To this end, the attitudes, and aptitudes that this technological tool has provided the subject with are evaluated over a period of four years. Three data collection instruments were selected: questionnaire, interview, and observation. Among the conclusions we highlight, on the one hand, that the older the age and the greater the interest in robotics, the greater the individual's attention span and greater psychomotor coordination, increasing the improvement in the educational process and in their daily life. On the other hand, robotics is an effective way of orienting knowledge towards the personal and educational sphere and can provide advantages in integral development. </p>

Conflicts and Challenges of Truth-Telling in Dentistry: A Case-Based Ethical Analysis

Objectives: The basis of truth-telling is respecting the autonomy of patients and developing an ability to make informed decisions with valid consent. The purpose of this study was to ethically analyze the conflicts about truth-telling in dentistry. Materials and Methods: This case analysis focused on the issues of truth-telling in medicine and dentistry. The challenges encountered by dentists with respect to ethical issues related to truth-telling were discussed and analyzed by the research team. Results: The literature review showed that the issue of truth-telling in dentistry has been addressed from three aspects: Truth-telling about other dentists’ medical errors, truth-telling about dangerous, refractory, or incurable diseases, and truth-telling to children or incompetent individuals for decision-making. Conclusion: When the duty of the dentist in truth-telling is conflicted with some other moral obligations, the conflict between the prima facie duties arises. The principle-based ethical theories provide a suitable conceptual framework for moral judgement in such conflicts. In cases of conflicts related to truth-telling, a balance should be maintained between principles and rules such as fidelity, respect for autonomy, maintaining trust in dentist-patient relation, and best interest of patients. The decision in truth-telling should be made individually for each patient based on the specific contextual conditions.

THE SUPERVISORY PERFORMANCE OF BAWASLU HULU SUNGAI UTARA IN THE 2019 ELECTION

The Hulu Sungai Utara Regency Election Supervisory Body is an Election organizing body tasked with overseeing the implementation of Elections, the problem is the improper installation and / or distribution of Campaign Props (Campaign), Campaign Materials (BK), Unclear division of labor. The purpose of this study was to determine the Performance of the Election Oversight Body in the Supervision of Election of the House of Representatives, Members of the Regional Representative Council, President and Vice President in 2019 at the Election Supervisory Body (Bawaslu) of North Hulu Sungai Regency and the factors that influence it. This research uses a qualitative approach with descriptive-qualitative type. Data collection techniques used were interviews, observation and documentation. Source of data taken through a purposive withdrawal of 15 people. After the data is collected, it is then analyzed using techniques including data reduction, data presentation, and data verification or drawing conclusions. Test the credibility of the data in this study is the extension of observation, increase perseverance, triangulation, negative case analysis, and hold a member check. The results of the research on the performance of the Election Oversight Body in the Supervision of the Election of the House of Representatives, Members of the Regional Representative Council, the President and Vice President in 2019 on the Election Supervisory Body (Bawaslu) of North Hulu Sungai Regency have not been good this can be seen from several indicators.

The application of ethnographic methods to engineering for global development: the case of the Improvised Betel Nut Cutter

This technical brief is an attempt to report a case analysis of Engineering for Global Development (EGD) research from India. As a part of the engineering design and research project, two models of Improvised Betel Nut Cutter (IBNC) are designed, manufactured and field-tested. Engineering ethnography is adopted as a research tool during the design process of IBCN. It facilitated the participation of local stakeholders in the design process which is found to be effective for contextual understandings of the target community's needs, aspirations, constraints and socio-cultural norms and values. The technological intervention is expected to solve the problems like finger cuts, health drudgery (musculoskeletal pain, back pain, etc.) of the women involved in the supari business in Assam, India. It will also improve productivity and efficiency in the supari cutting practices of women. This case analysis depicts the effectiveness of trans-disciplinary effort in solving complex engineering problems at the bottom of the pyramid (BOP). Evidence gathered from this study is expected to be a useful resource for future endeavours in EGD research.

Preventable Adverse Events in Obstetrics—Systemic Assessment of Their Incidence and Linked Risk Factors

(1) Background: Adverse events (AEs) are an inherent part of all medical care. Obstetrics is special: it is characterized by a very high expectation regarding safety and has rare cases of harm, but extremely high individual consequences of harm. However, there is no standardized identification, documentation, or uniform terminology for the preventability of AEs in obstetrics. In this study, therefore, an obstetrics-specific matrix on the preventable factors of AEs is established based on existing literature to enable standardized reactive risk management in obstetrics. (2) Methods: AEs in obstetrics from one hospital from the year 2018 were retrospectively evaluated according to a criteria matrix regarding preventability. Risk factors for preventable AEs (pAEs) were identified. (3) Results: Out of 2865 births, adverse events were identified in 659 cases (23%). After detailed case analysis, 88 cases (13%) showed at least 1 pAE. A total of 19 risk factors could be identified in 6 categories of pAEs. (4) Conclusion: Preventable categories of error could be identified. Relevant obstetric risk factors related to the error categories were identified and categorized. If these can be modified in the future with targeted measures of proactive risk management, pAEs in obstetrics could also be reduced.

Preparing Teacher Candidates to Teach in Secondary Schools Through Socratic Case-Based Approaches

Socratic instructional approaches for teacher preparation have been endorsed by teacher education programs across the globe for several decades. This chapter describes Socratic case-based teacher preparation in an undergraduate educational psychology course in the United States. Collaborative dialogues, inductive questions, and reasoning are key Socratic strategies used as instructional approaches for promoting teacher candidates' critical thinking and reflective teaching through case-based analysis. Two forms of case-based learning, face-to-face (synchronous) textual case analysis, and computer-mediated (asynchronous) video cases analysis is illustrated and supported with evidence-based theoretical frameworks and research findings. Effectiveness of Socratic case-based teacher preparation is determined via quantitative and qualitative evaluation of teacher candidates' collaborative oral case analysis reports and individual written case analysis reports. Recommendations for strengthening Socratic case-based teacher preparation and future research initiatives are discussed.

Towards Synthetic AI Training Data for Image Classification in Intralogistic Settings

Obtaining annotated data for proper training of AI image classifiers remains a challenge for successful deployment in industrial settings. As a promising alternative to handcrafted annotations, synthetic training data generation has grown in popularity. However, in most cases the pipelines used to generate this data are not of universal nature and have to be redesigned for different domain applications. This requires a detailed formulation of the domain through a semantic scene grammar. We aim to present such a grammar that is based on domain knowledge for the production-supplying transport of components in intralogistic settings. We present a use-case analysis for the domain of production supplying logistics and derive a scene grammar, which can be used to formulate similar problem statements in the domain for the purpose of data generation. We demonstrate the use of this grammar to feed a scene generation pipeline and obtain training data for an AI based image classifier.