Referring to the workplace learning theories and to the transmission theories, this article is interested in the civil engineering foremen training whose profession belongs to the field of the experience works. It examines the impact of the professional organization features, the role of the interactions with the tutors and the more experienced colleagues as well as the use by the trainees of the corporate resources. The analysis of interviews with trainees and trainers and the data coming from (...) the field observations show that the links between organizational factors and trainees ’ones have a great importance. The work situations, the trainees’ interactions with their partners, and the way they turn to good account the professional context resources, under certain conditions, strongly change the direction of the workplace learning during the vocational training. (shrink)

Referring to the workplace learning theories and to the transmission theories, this article is interested in the civil engineering foremen training whose profession belongs to the field of the experience works. It examines the impact of the professional organization features, the role of the interactions with the tutors and the more experienced colleagues as well as the use by the trainees of the corporate resources. The analysis of interviews with trainees and trainers and the data coming from (...) the field observations show that the links between organizational factors and trainees ’ones have a great importance. The work situations, the trainees’ interactions with their partners, and the way they turn to good account the professional context resources, under certain conditions, strongly change the direction of the workplace learning during the vocational training. (shrink)

In France, continuing professional training is a national obligation within the framework of lifelong education (Law n° 71-575 of July 16, 1971). Although it is considered an essential tool for adapting skills in the second half of one’s career, older workers benefit less than their younger counterparts (Demailly, 2016). Some specialists also consider this population to be specific when it comes to training (Cau-Bareille et al., 2006; Kern, 2016; Tikkanen and Nyhan, 2009). In order to better understand the interest and (...) the educational issues of this public in terms of training engineering, this article proposes to explore this theme using a multidisciplinary approach. (shrink)

This paper examines how young peoples’ lived experiences with personal technologies can be used to teach engineering ethics in a way which facilitates greater engagement with the subject. Engineering ethics can be challenging to teach: as a form of practical ethics, it is framed around future workplace experience in a professional setting which students are assumed to have no prior experience of. Yet the current generations of engineering students, who have been described as ‘digital natives’, do (...) however have immersive personal experience with digital technologies; and experiential learning theory describes how students learn ethics more successfully when they can draw on personal experience which give context and meaning to abstract theories. This paper reviews current teaching practices in engineering ethics; and examines young people’s engagement with technologies including cell phones, social networking sites, digital music and computer games to identify social and ethical elements of these practices which have relevance for the engineering ethics curricula. From this analysis three case studies are developed to illustrate how facets of the use of these technologies can be drawn on to teach topics including group work and communication; risk and safety; and engineering as social experimentation. Means for bridging personal experience and professional ethics when teaching these cases are discussed. The paper contributes to research and curriculum development in engineering ethics education, and to wider education research about methods of teaching ‘the net generation’. (shrink)

Industries are currently experiencing several kinds of disruptive changes, including digital transformation and environmental and health emergencies. Despite intense discussion about disruptive changes in companies, the impact of such changes on workplace learning is still underexplored. In this study, we investigated the impact of disruptive changes on informal learning practices according to the perspectives of employers, employees and adult educators. Informal learning was operationalised along a continuum between organised informal learning and everyday informal learning. Fifty-five companies’ representatives from three (...) European countries and four industrial fields were interviewed. The interviews were further triangulated with questionnaires collected by employees from the same companies. Questionnaire data were used to collect detailed information on individual informal workplace learning strategies and digital technologies adopted in organised informal learning. The interview data were analysed using qualitative content analysis. A coding scheme was developed with five macro-categories organised into 23 sub-categories. Occurrence and co-occurrence analysis were performed to identify which individual and organisational factors and approaches support most learning, according to interviewees. Interviewees reported the possibility of interacting with colleagues and being autonomous as the main sources of everyday informal learning processes. Employees from the same companies reported model learning, vicarious feedback, and applying someone’s own ideas as the most frequent IWL strategies. Organised informal learning was mainly based on knowledge transfer, which reflects passive cognitive engagement by employees. Specifically, digital technologies in organised informal learning were poorly used for supporting reflection, constructive processes, and collaborative knowledge construction. The results suggest that participants believed that higher forms of cognitive engagement are possible only within face-to-face organised informal training or in everyday informal learning. Possible explanations of the results and practical implications are discussed. (shrink)

Sound initial vocational education is an important precondition for subsequent episodes of vocational education or professional development. The presence of strong occupational identities and labour markets is argued to be a precondition for high-quality initial vocational education and training (IVET) and continuing vocational education and training (CVET) in many countries. The question of whether occupational identity and boundaries are in decline or are relatively stable is examined in relation to the UK and to northern European countries, particularly Germany. A review (...) of the evidence suggests that, in contrast to societies such as the UK where occupational identity is relatively weak, countries such as Germany where it is very strong are characterized by strong systems of IVET and relative occupational career stability. Broadly based IVET also allows for occupational mobility across intrasectoral occupational boundaries. In the UK, take-up of CVET is closely related to positive prior educational outcomes. (shrink)

This book deals with solving a pressing organizational challenge of bringing employees up to speed faster. In the fast-paced business world, organizations need faster readiness of employees to handle the complex responsibilities of their jobs. The author conducted an extensive doctoral research study with 85 global experts across 66 project cases to explore the practices and strategies that were proven to reduce time to proficiency of employees in a range of organizations worldwide. This book provides the readers with a first-hand (...) account of findings exclusively related to training and learning strategies, instructional methods, and curriculum design. This book delivers over 21 training and learning strategies across online learning, classroom instructions, and on-the-job learning. These strategies will allow training designers and learning specialists to design workplace training programs that hold the potential to shorten time to proficiency of employees. The book not only describes findings of the study and theoretical underpinnings, but it also provides practical guidance for implementation to equip corporate learning specialists, HR professionals, training leaders, performance consultants, and direct managers. (shrink)

RESUMEN Fundamento: La asignatura Atención Integral a la Población, se imparte durante el quinto año de la carrera de Estomatología. Objetivo: Exponer los criterios de los estudiantes, egresados y profesores respecto al proceso docente educativo de la asignatura Atención Integral a la Población. Métodos: Se realizó una investigación educacional observacional-descriptiva transversal en la Facultad de Estomatología de la Universidad de Ciencias Médicas de Camagüey, desarrollada desde septiembre 2015 a octubre 2017.El universo estuvo constituido por 63 estudiantes del quinto año, 90 (...) egresados del curso 2015-2016 y 14 profesores. Fueron utilizados métodos de investigación educacional cualitativos. Resultados: Los estudiantes, en la totalidad, percibieron que la asignatura influye en su formación como futuro profesional de la Estomatología, refirieron sentirse desorientados en cuestiones referidas a la distribución de contenidos, mientras que los profesores reconocieron la necesidad de determinar los temas, objetivos, sistema de conocimientos y habilidades para lograr una uniformidad en el trabajo sistemático y la evaluación frecuente en las diferentes sedes universitarias, los estudiantes carecen de una guía para realizar el estudio independiente; con vistas al examen final de la asignatura y estatal que contenga un plan de temas organizados y reúna los conocimientos esenciales a estudiar. Conclusiones: El diagnóstico develó que los estudiantes, egresados y profesores coincidieron en la necesidad de la consolidación de conocimientos, adquisición de habilidades y la interdisciplinariedad, así como la orientación del estudio independiente para el examen final de la asignatura y estatal. ABSTRACT Basis: Comprehensive assistance to the Community subject is taught in 5th -year Dentistry Career. Objective: to set out opinions of the students, graduated and professors about the teaching learning process of Comprehensive assistance to the Community subject. Methods: A transversal descriptive-observational educational research was carried out in the Dentistry faculty in the University of Medical Sciences in Camaguey, from September 2015 to October 2017. The universe was composed by 63 5th -year Dentistry students, 90 graduated of the 2015-2016 academic year and 14 professors from the teaching staff. Qualitative educational research methods were used. Results: All the students realized that the subject has an influence on the future professional training in Dentistry. They referred to be confused about the contents distribution, while the professors recognize the necessity to determine the topics, objectives, set of knowledge and skills in order to achieve uniformity in the systematic job and the common evaluation. The students do not have a guide to do their independent study taking into account the final exam. Conclusions: The diagnostic revealed that students, graduated and professors agreed in the necessity to reinforce knowledge, skills acquisition, and interdisciplinary, as well as independent study guidelines for the final exam in Dentistry. (shrink)

As attention to the pervasiveness and severity of environmental challenges grows, technical universities are responding to the need to include environmental topics in engineering curricula and to equip engineering students, without training in ethics, to understand and respond to the complex social and normative demands of these issues. But as compared to other areas of engineering ethics education, environmental ethics has received very little attention. This article aims to address this lack and raises the question: How should (...) we teach environmental ethics to engineering students? We argue that one key aspect such teaching should address is the tendency of engineers towards technical framing of (social) problems. Drawing then on engineering ethics pedagogy we propose that the competencies of moral sensitivity and critical thinking can be developed to help engineering students with problem (re)framing. We conclude with an example from our teaching that operationalizes these competencies. (shrink)

The use of role-playing (“active learning”) as a teaching tool has been reported in areas as diverse as social psychology, history and analytical chemistry. Its use as a tool in the teaching of engineering ethics and professionalism is also not new, but the approach develops new perspectives when used in a college class of exceptionally wide cultural diversity. York University is a large urban university (40,000 undergraduates) that draws its enrolment primarily from the Greater Toronto Area, arguably one of (...) the most culturally diverse cities in the world, embracing the largest percentage of Canada’s immigration. Among the area’s five million inhabitants, 50% identify themselves as a visible minority born outside Canada, while over 100 languages and dialects are spoken daily. Although students admitted from this international pool have usually been exposed to western attitudes during secondary education and are rapidly assimilated into Canadian culture, responses to specific ethical issues are strongly influenced by their prior culture. Two and three-part scripts for case studies based on NSF or original scenarios were written to illustrate issues such as gifts, attitudes towards women and ethnic minorities, conflict of interest, whistle-blowing, sexual harassment, individual rights, privacy, environment, intellectual property, and others. Following the presentation, the actors lead group discussion based on previously specified questions. Once the initial shyness and reluctance of some cultures has been overcome through the building of rapport, students have written original scripts based on hypothetical or prior personal situations. The method is now being adopted in a short course format to assist the professional integration of foreign trained engineers. (shrink)

The use of role-playing (“active learning”) as a teaching tool has been reported in areas as diverse as social psychology, history and analytical chemistry. Its use as a tool in the teaching of engineering ethics and professionalism is also not new, but the approach develops new perspectives when used in a college class of exceptionally wide cultural diversity. York University is a large urban university (40,000 undergraduates) that draws its enrolment primarily from the Greater Toronto Area, arguably one of (...) the most culturally diverse cities in the world, embracing the largest percentage of Canada’s immigration. Among the area’s five million inhabitants, 50% identify themselves as a visible minority born outside Canada, while over 100 languages and dialects are spoken daily. Although students admitted from this international pool have usually been exposed to western attitudes during secondary education and are rapidly assimilated into Canadian culture, responses to specific ethical issues are strongly influenced by their prior culture. Two and three-part scripts for case studies based on NSF or original scenarios were written to illustrate issues such as gifts, attitudes towards women and ethnic minorities, conflict of interest, whistle-blowing, sexual harassment, individual rights, privacy, environment, intellectual property, and others. Following the presentation, the actors lead group discussion based on previously specified questions. Once the initial shyness and reluctance of some cultures has been overcome through the building of rapport, students have written original scripts based on hypothetical or prior personal situations. The method is now being adopted in a short course format to assist the professional integration of foreign trained engineers. (shrink)

We tested whether analogical training could help children learn a key principle of elementary engineering—namely, the use of a diagonal brace to stabilize a structure. The context for this learning was a construction activity at the Chicago Children's Museum, in which children and their families build a model skyscraper together. The results indicate that even a single brief analogical comparison can confer insight. The results also reveal conditions that support analogical learning.

This study examined the impact of ethics training engagement on unethical decision-making in the workplace. Participants were randomly assigned to one of the two conditions. Next, a baseline measurement of ethical ideology was collected using the Ethics Position Questionnaire and participants then engaged in ethics training based on the condition to which they were randomly assigned. They then had the option to read along or listen to a hypothetical scenario about an employee faced with the opportunity to make an (...) unethical decision, and completed the Unethical Decision Questionnaire. Results showed that participants in the passive learning condition were significantly more likely to perceive an unethical situation as ethical compared to participants in the active learning ethics training condition. Additionally, participants in the passive learning condition were significantly more likely to engage in unethical decision-making than participants in the active learning condition. The current findings contribute to the existing literature by providing evidence that active learning in ethics training programs could reduce unethical decision-making within the workplace. (shrink)

Engineering ethics calls the attention of engineers to professional codes of ethical responsibility and personal values, but the practice of ethics in corporate settings can be more complex than either of these. Corporations too have cultures that often include corporate social responsibility (CSR) practices and policies, but few discussions of engineering ethics make any explicit reference to CSR. This article proposes critical attention to CSR and role ethics as an opportunity to help prepare engineers to think through the (...) ethics of their professional practice. After a brief overview of the evolution of social responsibility within engineering ethics in the United States, this article shares empirical research with practicing engineers in the mining and energy industries to explore how their formal ethics training did and did not prepare them to grapple with the ethical dimensions of their professional practice. It then illustrates the ways in which these dilemmas and the strategies employed for navigating them are framed within CSR policies and practices and resonate more strongly with role ethics rather than ethical theory as currently taught in most US engineering programs. The article concludes that engineering ethics teaching and learning would benefit from explicitly incorporating critical discussions of role ethics and CSR. (shrink)

Cooperative learning (CL) is one of the pedagogical models that has had more application in the area of Physical Education (PE) in recent years, being highly worked in the initial training of teachers. The aim of the study is to check to what extent future PE teachers are able to apply in the classroom the PE training they have received at university, deepening their fears, insecurities and problems when carrying it out. Thirteen future PE teachers (7 girls and 6 boys) (...) aged 20.87±1.43 participated and, after having been trained in CL in various subjects, applied it in the classroom during their internship. A qualitative methodology was used, being the interviews, the teaching diaries and the seminars with the tutor the instruments of data collection used. Three categories of analysis were used: a) initial expectations in the application of the CL; b) problems encountered in its implementation; c) reflection about its application in the future. The results showed how the future teachers did not see their expectations of success fulfilled, encountering resistance from both students and teachers in PE. Furthermore, they reflect the need to continue training in a model that has infinite nuances so that it can be implemented satisfactorily. It is necessary to continue researching a pedagogical model with so many possibilities in the area of PE and with so much transversality on a social level. (shrink)

Despite the increasing inclusion of ethics and compliance issues in corporate training, the business world remains rife with breaches of responsible management conduct. This situation indicates a knowledge–practice gap among professionals, i.e., a discrepancy between their knowledge of responsible management principles and their behavior in day-to-day business life. With this in mind, this paper addresses the formative, developmental question of how companies’ ethics and compliance training programs should be organized in a manner that enhances their potential to be effective. Drawing (...) on both the qualitative analysis of existing ethics and compliance training and the conceptual literature on behavioral ethics, a framework is proposed that consecutively aligns various types of training into a comprehensive ethics and compliance training program. The strengths and limitations of the suggested framework are discussed. (shrink)

This paper examines the learning and performance of the air traffic control (ATC) work domain. This domain was chosen because it embodies features that represent future work for many other industries (e.g., information service provision mediated by information technologies; a high reliance on communication skills and collaborative work; increasing complexity and intensity of the work activity), within an organisational context undergoing considerable change. In ATC work learning occurs formally as part of accredited training and informally, as part of everyday practice. (...) In this way learning and experience of ATC work shapes – and is shaped by – the way work is organised, which includes the divisions of labour and technological artefacts. ATC work is experienced temporally, complexly, through affect and socially. Controllers learn to use a variety of socio-material resources which include embodiment and artefacts to undertake the work. In so doing the article demonstrates the ways in which learning and performance is not just a cognitive undertaking, but one that draws on embodiment to achieve what here is called “interdependent sentience”. This involves using all their senses to gain an awareness of problems as they emerge to collectively accomplish a seamless air traffic flow in a complex interdependent socio-technical system. (shrink)

Globalized workplace is increasingly moving into complex jobs requiring their employees to exhibit complex knowledge and complex skills. Though acquiring such complex skills or knowledge requires longer time, the pace of business puts pressure on organizations to accelerate the time it takes for their employees to become proficient in their jobs. This shift has challenged the conventional training and learning strategies, structure, methods, instructional design and delivery methodologies generally used by training providers and by the organizations. This paper presents (...) the preliminary research findings of a Doctorate research carried out using Grounded theory approach with over 71 in-depth interviews with leading experts in over 40 industries. Preliminary findings suggest that certain e-learning strategies and platforms hold better potential over others to successfully accelerate time-to-proficiency of individuals in leading organizations. This paper provides first look at 10 e-learning strategies and how those could be orchestrated before, during and after a formal training program to develop job-ready learners in shorter time. (shrink)

ABSTRCTIn recent times, Information and Communication Technology (ICT) hasbeen developed and widely spread around world. ICT is used in various sectorsand considered a basis in the emergence of some important technologies such asvirtual reality technology. Virtual Reality (VR) is a special technology as anadvanced technology connected to several fields, e.g. training, learning, science,engineering, medicine, military, etc. VR has great potentials which enabled toperform several phenomena and experiments. Hence, several scenarios havebecome available. The purpose of this study is to shed (...) light on virtual realitytechnology and list a glimpse of common publications and studies involved. (shrink)

Adopting a sociopragmatic and interactional perspective, the paper proposes to investigate how apprentices engage in questioning practices and how trainers respond to these questions. A detailed empirical analysis of audio/video data collected in the context of Swiss training companies establishes that answers provided by trainers in response to questions do not constitute the dominant form of questioning work observed. Alternative interactional patterns that stress the tensions connected with questioning in the workplace context and the complexity of the social practices (...) associated with workplace learning are identified and described. These findings illuminate the challenges faced by apprentices when joining the workplace and underscore the importance of a sociopragmatic perspective in addressing social issues related to initial vocational education. (shrink)

Machine learning (ML) has emerged as a promising tool in psychiatry, revolutionising diagnostic processes and patient outcomes. In this paper, I argue that while ML studies show promising initial results, their application in mimicking clinician-based judgements presents inherent limitations (Shatte et al. in Psychol Med 49:1426–1448. https://doi.org/10.1017/S0033291719000151, 2019). Most models still rely on DSM (the Diagnostic and Statistical Manual of Mental Disorders) categories, known for their heterogeneity and low predictive value. DSM's descriptive nature limits the validity of psychiatric diagnoses, which (...) leads to overdiagnosis, comorbidity, and low remission rates. The application in psychiatry highlights the limitations of supervised ML techniques. Supervised ML models inherit the validity issues of their training data set. When the model's outcome is a DSM classification, this can never be more valid or predictive than the clinician’s judgement. Therefore, I argue that these models have little added value to the patient. Moreover, the lack of known underlying causal pathways in psychiatric disorders prevents validating ML models based on such classifications. As such, I argue that high accuracy in these models is misleading when it is understood as validating the classification. In conclusion, these models will not will not offer any real benefit to patient outcomes. I propose a shift in focus, advocating for ML models to prioritise improving the predictability of prognosis, treatment selection, and prevention. Therefore, data selection and outcome variables should be geared towards this transdiagnostic goal. This way, ML can be leveraged to better support clinicians in personalised treatment strategies for mental health patients. (shrink)

The article examines the system of engineering education in European countries, analyzing the formation of polytechnical education in France on the example of l'École Polytechnique (the Polytechnic School of Paris), which became the foundation of the French educational model and influenced the subsequent development of engineering education not only in France but also in Europe. The article also highlights the process of preparing engineering professionals in Germany, one of the features of which was the introduction of vocational (...) training. It was a type of study separate from the general system, with funding coming from local budgets or private sponsors. This strengthened the role of technical universities, which focused not only on the transmission of accumulated knowledge but also on fostering motivation for learning and scientific activities. The curricula of technical universities gradually expanded to include components of physics, mechanics, mathematics, and chemistry. (shrink)

Research in science, technology, engineering, and mathematics fields has become much more complex in the twenty-first century. As a result, the students of our Graduate School, who are all Ph.D. candidates, need to be trained in essential skills and processes that are crucial for success in academia and beyond. Some research problems are inherently complex in that they raise deep moral dilemmas, such as antimicrobial resistance, sustainability, dual-use research of concern, and human cloning. Dealing with moral dilemmas is one (...) of several core competencies that twenty-first-century Ph.D. students must acquire. However, this might prove difficult for STEM Ph.D. students who have had limited exposure to moral philosophy. Since the task of dealing with moral dilemmas in STEM research requires input from both scientific and philosophical disciplines, it is argued with the help of the 4 examples above that this task be explicitly modelled as an interdisciplinary process. Furthermore, it is argued that a particular model from the interdisciplinary education literature could serve as a learning tool to support ethical decision-making in research ethics and integrity courses for doctoral students. (shrink)

In the context of office work, learning to handle an Enterprise Resource Planning system is important as implementation costs for such systems and associated expectations are high. However, these expectations are often not met because the users are not trained adequately. Electronic Performance Support Systems are designed to support employees’ ERP-related problem-solving and informal learning. EPSS are supposed to enhance employees’ performance and informal workplace learning through task-specific and granular help in task performance and problem-solving. However, there is little (...) empirical research on EPSS. Two survey studies addressed this research gap. In the first study, 301 people working in Human Resource -related positions and functions evaluated the learning potential of EPSS as well as potential advantages and obstacles concerning the implementation and use of EPSS. Though other measures are currently assessed as more important for learning, HR employees expect a strong increase in the significance of EPSS for employee learning. In the second study, 652 users of ERP software completed a questionnaire on characteristics of their daily work tasks, team characteristics, individual dispositions, their coping with ERP-related problems, and characteristics of EPSS. Findings indicate that the most frequently available and used approach when dealing with an ERP-related problem is consulting colleagues. Three EPSS types can be distinguished by their increasing integration into the user interface and their context-sensitivity. While external and extrinsic EPSS are available to many users, intrinsic EPSS are less common but are used intensively if available. EPSS availability is identified to be a strong positive predictor of frequency of EPSS use, while agreeableness as well as the task complexity and information-processing requirements show small negative effects. Moreover, more intensive ERP users use EPSS more frequently. In general, ERP users value, features such as context-sensitivity, an integration of the EPSS into the ERP system’s user interface, the option to save one’s own notes, and information displayed in an extra window. It is expected that EPSS will play an important role in workplace learning in the future, along with other measures. (shrink)

The complexity of industrial reality, the plurality of legitimate perspectives on risks and the role of emotions in decision-making raise important ethical issues in risk management that are usually overlooked in engineering. Using a questionnaire answered by 200 engineering students from a major engineering school in Canada, the purpose of this study was to assess how their training has influenced their perceptions toward these issues. While our results challenge the stereotypical portrait of the engineer, they also suggest (...) that the current engineering education might fail to empower engineers to engage in ethical risk management. We therefore propose an active-learning method to help in this matter. Carried out through workshops with 34 students in chemical engineering, the effectiveness of this method has been evaluated using group interviews and questionnaires. Our results suggest that such an approach is effective, at least in the short run, to motivate students to engage in ethical risk management and to trigger reflectivity on what it means to be an engineer today. (shrink)

Learning disabilities are highly prevalent on college campuses, yet students with learning disabilities graduate at lower rates than those without disabilities. Academic and psychosocial supports are essential for overcoming challenges and for improving postsecondary educational opportunities for students with learning disabilities. A holistic, multi-level model of campus-based supports was established to facilitate culture and practice changes at the institutional level, while concurrently bolstering mentors’ abilities to provide learning disability-knowledgeable support, and simultaneously creating opportunities for students’ personal and interpersonal development. Mixed (...) methods were used to investigate implementation of coordinated personal, interpersonal, and institutional level supports for undergraduate science, technology, engineering, and math (STEM) students with learning disabilities. A one-group pre-test post-test strategy was used to examine undergraduate outcomes. Participants included 52 STEM undergraduates with learning disabilities, 57 STEM graduate student mentors, 34 STEM faculty mentors, and 34 university administrators and personnel as members of a university-wide council. Enrolled for two years, undergraduates were engaged in group meetings involving psychoeducation and reflective discussions, development of self-advocacy projects, and individual mentorship. Undergraduates reported improved self efficacy (p =.001), campus connection (p <.001), professional development (p ≤.002), and self advocacy (p <.001) after two academic years. Graduate student mentors increased their understanding about learning disabilities and used their understanding to support both their mentees and other students they worked with. Council members identified and created opportunities for delivering learning disability-related trainings to faculty, mentors and advisors on campus, and for enhancing coordination of student services related to learning and related disorders. Disability-focused activities became integrated in broader campus activities regarding diversity. This research explicates a role that college campuses can play in fostering the wellbeing and the academic and career development of its students with developmental learning and related disorders. It offers an empirically tested campus-based model that is multilevel, holistic, and strengths-based for supporting positive outcomes of young people with learning disabilities in STEM. Moreover, findings advance the knowledge of supports and skills that are important for self-regulating and navigating complex and multi-faceted disability-related challenges within both the post-secondary educational environment and the young adults’ sociocultural context. (shrink)

Rethinking organizational ethics training -- Moral intuition: advances in moral psychology and neuroscience -- The social intuitionist model -- Communication and the new organizational ethics -- How cultur(ing) works -- Pluralistic moral ignorance and spirals of silent misdirection -- Here-and-now ethics talk in the workplace -- Sensemaking and identity: what to expect from moral reasoning -- Substituting here-and-now ethics talk -- Organizational learning and organizational communication -- From individual moral intuition to organizational moral learning -- Organizing for moral mindfulness (...) -- Stories of organizational moral learning and ignorance -- Communication practices for managing moral mindfulness. (shrink)

A team of philosophers and scientists at Dartmouth College worked for three years to create, train faculty and pilot test an adequate and exportable class in research methods for graduate students of science and engineering. Developing and testing methods for evaluating students’ progress in learning research ethics were part of the project goals. Failure of methods tried in the first year led to the refinement of methods for the second year. These were used successfully in the pilot course and (...) in one university setting external to Dartmouth. The process of development and justification for the final methods are discussed here. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application (...) of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks. (shrink)

Engineers should learn how to act on their responsibility to society during their education. At present, however, it is unknown what students think about the meaning of socially responsible engineering. This paper synthesizes 4 years of longitudinal interviews with engineering students as they progressed through college. The interviews revolved broadly around how students saw the connections between engineering and social responsibility, and what influenced these ideas. Using the Weidman Input–Environment–Output model as a framework, this research found that (...) influences included required classes such as engineering ethics, capstone design, and some technical courses, pre-college volunteering and familial values, co-curricular groups such as Engineers Without Borders and the Society of Women Engineers, as well as professional experiences through internships. Further, some experiences such as technical courses and engineering internships contributed to confine students’ understanding of an engineer’s social responsibility. Overall, students who stayed in engineering tended to converge on basic responsibilities such as safety and bettering society as a whole, but tended to become less concerned with improving the lives of the marginalized and disadvantaged. Company loyalty also became important for some students. These results have valuable, transferable contributions, providing guidance to foster students’ ideas on socially responsible engineering. (shrink)

The article aims to be a reflective paper on the interconnected concepts of training, development and innovation and the potential they have in dealing with change in organizations. We call change both the process through which something becomes different and the result of that process. Change management is the expression used to define the complex of activities, functions, and tools (such as training courses) through which an organization deals with the introduction of something new that is relevant for both its (...) survival and growth. Training and development are labels used to define those educational activities implemented in organizations to empower the competences of workers, employees and managers in the lifelong learning perspective of improving their performance. Consequently, we define competences as those personal characteristics that allow people to be effective in the changing contexts of both workplace and everyday life. They are also necessary in organizational innovation, which is the process of transforming ideas or inventions into goods or services that generate value and for which customers will pay. Training, development, and innovation are three different but interconnected functions by which organizations manage change. What is the state of the art of the literature dealing with these topics? Here, is a critical review on the matter. (shrink)

Trainers often use information from previous learning sessions to design or redesign a course. Although universities conducted numerous research integrity training in the past decades, information on what works and what does not work in research integrity training are still scattered. The latest meta-reviews offer trainers some information about effective teaching and learning activities. Yet they lack information to determine which activities are plausible for specific target groups and learning outcomes and thus do not support course design decisions in the (...) best possible manner. This article wants to change this status quo and outlines an easy-to-use taxonomy for research integrity training based on Kirkpatrick’s four levels of evaluation to foster mutual exchange and improve research integrity course design. By describing the taxonomy for research integrity training (TRIT) in detail and outlining three European projects, their intended training effects before the project started, their learning outcomes, teaching and learning activities, and their assessment instruments, this article introduces a unified approach. This article gives practitioners references to identify didactical interrelations and impacts and (knowledge) gaps in how to (re-)design an RI course. The suggested taxonomy is easy to use and enables an increase in tailored and evidence-based (re-)designs of research integrity training. (shrink)

Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking (...) machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models. (shrink)

The emergence of nanotechnology, and specifically nanobiotechnology, raises major oversight challenges. In the United States, government, industry, and researchers are debating what oversight approaches are most appropriate. Among the federal agencies already embroiled in discussion of oversight approaches are the Food and Drug Administration , Environmental Protection Agency , Department of Agriculture , Occupational Safety and Health Administration , and National Institutes of Health . All can learn from assessment of the successes and failures of past oversight efforts aimed at (...) emerging technologies. This article reports on work funded by the National Science Foundation aimed at learning the lessons of past oversight efforts. The article offers insights that emerge from comparing five oversight case studies that examine oversight of genetically engineered organisms in the food supply, pharmaceuticals, medical devices, chemicals in the workplace, and gene therapy. Using quantitative and qualitative analysis, the authors present a new way of evaluating oversight. (shrink)

Summary Mining companies after the Gold Rush depended heavily on foreign expertise, and yet historians of mining have glorified ‘German engineering’ in America. The application of German technology in America was fraught with difficulties, and most advances were micro- rather than macro-innovations, such as Philip Deidesheimer's famous square-set timbering on the Comstock Lode. The problem began at German mining schools, such as the Freiberg Mining Academy, where Americans like Louis and Henry Janin, while they acquired advanced training and adopted (...) an engineering ethos, struggled to learn about Mexican and American mining. Having complemented their course of study to remedy this deficiency, the brothers returned to the US intending to modernize mining on the frontier. Louis attempted the ‘Freiberg Process’ of amalgamation on the Comstock Lode, but locally developed methods proved more feasible, and the experiment failed. He came to apply his training rather toward the micro-level problem of how to reprocess amalgamation waste heaps. (shrink)

Sociability is essential for modern robots to increase their acceptability in human environments. Traditional techniques use manually engineered utility functions inspired by observing pedestrian behaviors to achieve social navigation. However, social aspects of navigation are diverse, changing across different types of environments, societies, and population densities, making it unrealistic to use hand-crafted techniques in each domain. This paper presents a data-driven navigation architecture that uses state-of-the-art neural architectures, namely Conditional Neural Processes, to learn global and local controllers of the mobile (...) robot from observations. Additionally, we leverage a state-of-the-art, deep prediction mechanism to detect situations not similar to the trained ones, where reactive controllers step in to ensure safe navigation. Our results demonstrate that the proposed framework can successfully carry out navigation tasks regarding social norms in the data. Further, we showed that our system produces fewer personal-zone violations, causing less discomfort. (shrink)

With closer interactions between academic and commercial entities the role of the university is expanding to also include knowledge transferIn the biomedical and health sciences , close interactions between academic and commercial entities are now common place. Funds from pharmaceutical and biotechnology companies have helped finance major bioscience projects and research centres, graduate students are receiving training in commercial laboratories, and university scientists are translating their ‘intellectual property’ by patenting their research and launching start-up companies. And this is happening with (...) the blessing of universities, who see the commercialisation of research – and the royalties brought in from ‘technology transfer’ – as part of their new mission.The result is that no longer are universities simply places of higher learning, where academics are dedicated to teaching and research, traditionally the ‘first’ and ‘second’ missions of universities; universities now have a ‘third’ mission, to engage in knowledge transfer. Governments and research-intensive industries , are keen to translate university research into marketable products. Facilitated by policies and laws to protect intellectual property rights and aid commercialisation, universities are transforming into ‘entrepreneurial’ institutions.1 University administrators seek to generate new funding streams, while governments see universities as drivers of technology development and economic growth. In such a climate, it should not be surprising that researchers in many disciplines are facing pressure to collaborate …. (shrink)

Historically, scientists in training have learned the rules of ethical conduct by the example of their advisors and other senior scientists and by practice. This paper is intended to serve as a guide for the beginning scientist to some fundamental principles of scientific research ethics. The paper focuses less on issues of outright dishonesty or fraud, and more on the positive aspects of ethical scientific behavior; in other words, what a scientist should do to maintain a high level of ethical (...) conduct in research.There are a number of fairly specific rules, guidelines, or commonly accepted operating principles that have evolved for the ethical conduct of science. In order to discuss this code of ethics, this paper is divided into sections dealing with specific areas of scientific ethics. These areas are: data collection and storage, ownership of data, confidentiality, communication, authorship, collaboration, the peer review system, and rules of dealing with ethical complaints. Illustrative case histories are presented to provide examples of the type of ethical dispute or problem being discussed. If scientific trainees learn the accepted rules of behavior that govern the conduct of science, ethical problems that arise out of ignorance, misunderstanding, or poor communication can be avoided. (shrink)

The article offers a discursive account of what generality in machine learning research means and how it is constructed in the development of general artificial intelligence from the perspectives of cultural and media studies. I discuss several technical papers that outline novel architectures in machine learning and how they conceive of the “world”. The agency to learn and the learning curriculum are modulated through worlding (in the sense of setting up and unfolding of the world for artificial agents) in machine (...) learning engineering. In recent computer science articles, large models trained on Internet-scale datasets are framed as general world simulators—despite their partiality, historicity, finite nature, and cultural specificity. I introduce the notion of “model worlds” to refer to composable interactive environments designed for the purpose of machine learning that partake in legitimising that claim. I discuss how large models are grounded through interaction in model worlds, arguing that model worlds mediate between the sheer scale of language models and their hypothetical capacity to generalise to new tasks and domains, rehashing the empiricist logic of “big data”. Further, I show that the emerging capacity of artificial agents to generalise redraws the epistemic boundary between artificial agents and their learning environments. Consequently, superficial statistics of language models and abstract action are made meaningful in distilled model worlds, giving rise to synthetic agency. (shrink)

Recent years have seen incredible advances in our abilities to gather and store data, as well as in the computational power and methods—most prominently in machine learning—to do things with those data. These advances have given rise to the emerging field “data science.” Because of its immense power for providing practically useful information about the world, data science is a field of increasing importance. This paper argues that a core part of what data scientists are doing should be understood as (...) conceptual engineering. At all stages of the data science process, data scientists need to deliberate about, evaluate, and make classificatory choices in a variety of ways, including as part of training and evaluating machine learning models. Viewing these activities as involved in conceptual engineering offers a new way to think about them, one that helps to clarify what is at stake in them, what sorts of considerations are relevant, and how to systematically think about the choices faced. Given the increasing importance of data science, if conceptual engineering is relevant for activities in data science, this also highlights the relevance and impact of conceptual engineering as a method. Furthermore, the paper also suggests that machine learning opens distinctive and novel ways in which data scientists engage in conceptual engineering. (shrink)

To support the teaching of ethics in science and engineering, educational technologies offer a variety of functions: communication between students and instructors, production of documents, distribution of documents, archiving of class sessions, and access to remote resources. Instructors may choose to use these functions of the technologies at different levels of intensity, to support a variety of pedagogies, consistent with accepted good practices. Good pedagogical practices are illustrated in this paper with four examples of uses of educational technologies in (...) the teaching of ethics in science and engineering. Educational technologies impose costs for the purchase of hardware, licensing of software, hiring of support personnel, and training of instructors. Whether the benefits justify these costs is an unsettled question. While many researchers are studying the possible benefits of educational technologies, all instructors should assess the effectiveness of their practices. (shrink)

Agricultural engineers’ jobs are especially related to sustainability and earth life issues. They usually work with plants or animals, and the aim of their work is often linked to producing food to allow people to improve their quality of life. Taking into account this dual function, the moral requirements of their day-to-day professional practice are arguably greater than those of other professions.Agricultural engineers can develop their ability to live up to this professional responsibility by receiving ethical training during their university (...) studies, not only by taking courses specifically devoted to ethics, but also by having to deal with moral questions that are integrated into their technical courses through a program of Ethics Across the Curriculum (EAC).The authors feel that a suitable pedagogical technique for achieving this goal is the use of moral dilemmas, following Kohlberg’s theory of levels of morality (1981), with the final objective of attaining a post-conventional level. This paper examines the possibilities and limitations of using moral dilemmas as a pedagogical technique for training agricultural engineers. The cases, discussions, and evaluation used in the Agricultural Engineering Department of the Technical University of Valencia (Spain) are also presented. (shrink)

Over the past fifteen years, progress in distance learning and digital engineering has led to the emergence of so-called " hybrid " systems bringing together different modalities: face-to-face, distance learning, individual, collective, synchronous, or asynchronous. Our study, a survey of stakeholders in five hybrid didactic training systems for beginner teachers, explores how the efficiency and effectiveness of such hybrid systems result from the synchronization of rhythmicities experienced, constructed, or to be created. Do these rhythmicities thus created give the whole (...) a kind of temporal ecology aiming, for beginner teachers, to balance: the constrained times and rhythms of the path (more mechanistic scheme); or the times and rhythms constructed and conquered by the participants themselves (more emancipatory scheme)? Three ideal types of trainee-users of the system and to put forward the hypothesis of a search for eurythmy by the latter, regulating their representations, behavior, and activities vis-à-vis the system. (shrink)

This paper investigates the medical law and ethics learning needs of Foundation doctors by means of a national survey developed in association with key stakeholders including the General Medical Council and Health Education England. Four hundred sevnty-nine doctors completed the survey. The average self-reported level of preparation in MEL was 63%. When asked to rate how confident they felt in approaching three cases of increasing ethical complexity, more FYs were fully confident in the more complex cases than in the more (...) standard case. There was no apparent relationship with confidence and reported teaching at medical school. The less confident doctors were no more likely to ask for further teaching on the topic than the confident doctors. This suggests that FYs can be vulnerable when facing ethical decisions by being underprepared, not recognising their lack of ability to make a reasoned decision or by being overconfident. Educators need to be aware of this and provide practical MEL training based on trainee experiences and real-world ethics and challenge learners’ views. Given the complexities of many ethical decisions, preparedness should not be seen as the ability to make a difficult decision but rather a recognition that such cases are difficult, that doubt is permissible and the solution may well be beyond the relatively inexperienced doctor. Educators and supervisors should therefore be ensuring that this is clear to their trainees. This necessitates an environment in which questions can be asked and uncertainty raised with the expectation of a supportive response. (shrink)

In today's complex world, influenced by information bombardment and rapid technological development, professional training cannot remain limited to the idea of passing knowledge. There is a need to shift the students’ view towards the true spirit of research, which targets the scientific thought on certain social phenomena, and to form critical thinking skills to produce effective individuals in the current labour market, who not only receive information, but go further and analyze problems in the workplace, presenting solutions to identified (...) problems and applying these solutions in concrete situations. For this reason, critical thinking is considered a top skill, being highly appreciated by the business world and organizations. But to think critically is a capacity that does not develop by itself, it must be practiced and encouraged in a correct learning environment. Critical thinking has become one of the most important educational goals, which must be achieved by the different educational institutions through all the programs studied by students in the different educational cycles, but also by students in the university environment. Starting from this, this article analyses the types of specific actions which target the introduction of the abilities of critical thinking in the training activities in Romania, and in society in its entirety, by identifying the setbacks encountered, and the limits of such an endeavour. (shrink)

The Internet of Things (IoT) applied to intelligent transport systems has become a key element for understanding the way traffic flow behaves in cities, which helps in decision-making to improve the management of the transport system by monitoring and analyzing network traffic in real time, all with the aim of daily benefiting users of the city’s road infrastructure. Traffic volume estimation in real time, with high effectiveness, may help mobility management and improve traffic flow. Moreover, machine-learning algorithms have shown effectiveness (...) in various scientific fields and have provided a significant platform for achieving intelligent applications. Therefore, we applied various machine learning algorithms to classify the vehicular traffic status in the traffic network of two cities with more than 2 million inhabitants. It was first necessary to establish, from the attributes provided by the datasets, the object class from the LOS (Level of Services) thresholds proposed by the National Academies of Sciences, Engineering, and Medicine, for the basic segments of highways in an urban area. We then selected the attributes of interest using the Recursive Feature Elimination Method (RFE) to reduce the dimensionality of the data, and applied the DT, RF, ET, KNN, and MLP algorithms to train and classify the level of vehicular congestion, defining various volumes of training and validation data. The results show the high effectiveness of the algorithms, highlighting the MLP algorithm as the one that provides the highest effectiveness on average for the evaluated datasets, with a mean precision of 99.5%. (shrink)

There is growing need for hybrid curricula that integrate constructivist methods from Science and Technology Studies (STS) into both engineering and policy courses at the undergraduate and graduate levels. However, institutional and disciplinary barriers have made implementing such curricula difficult at many institutions. While several programs have recently been launched that mix technical training with consideration of “societal” or “ethical issues,” these programs often lack a constructivist element, leaving newly-minted practitioners entering practical fields ill-equipped to unpack the politics of (...) knowledge and technology or engage with skeptical publics. This paper presents a novel format for designing interdisciplinary coursework that combines conceptual content from STS with training in engineering and policy. Courses following this format would ideally be team taught by instructors with advanced training in diverse fields, and hence co-learning between instructors and disciplines is a key element of the format. Several instruments for facilitating both student and instructor collaborative learning are introduced. The format is also designed for versatility: in addition to being adaptable to both technical and policy training environments, topics are modularized around a conceptual core so that issues ranging from biotech to nuclear security can be incorporated to fit programmatic needs and resources. (shrink)

Connected vehicle fleets have formed significant component of industrial internet of things scenarios as part of Industry 4.0 worldwide. The number of vehicles in these fleets has grown at a steady pace. The vehicles monitoring with machine learning algorithms has significantly improved maintenance activities. Predictive maintenance potential has increased where machines are controlled through networked smart devices. Here, benefits are accrued considering uptimes optimization. This has resulted in reduction of associated time and labor costs. It has also provided significant increase (...) in cost benefit ratios. Considering vehicle fault trends in this research predictive maintenance problem is addressed through hybrid deep learning-based ensemble method (HDLEM). The ensemble framework which acts as predictive analytics engine comprises of three deep learning algorithms viz modified cox proportional hazard deep learning (MCoxPHDL), modified deep learning embedded semi supervised learning (MDLeSSL) and merged LSTM (MLSTM) networks. Both sensor as well as historical maintenance data are collected and prepared using benchmarking methods for HDLEM training and testing. Here, times between failures (TBF) modeling and prediction on multi-source data are successfully achieved. The results obtained are compared with stated deep learning models. This ensemble framework offers great potential towards achieving more profitable, efficient and sustainable vehicle fleet management solutions. This helps better telematics data implementation which ensures preventative management towards desired solution. The ensemble method's superiority is highlighted through several experimental results. (shrink)

This article uses Memo Akten’s art installation Learning to See to challenge the belief that machine learning and machine vision are neutral and objective technologies. Furthermore, this article follows Bernard Stiegler to contend that not only machine vision but also human vision is the result of constant training processes that rely directly on technology. From this perspective, human vision is always already technical. Likewise, in an age dominated growingly by machine learning technologies, it is possible to speak not only of (...) machine vision but also of a machinic imagination and a machinic unconscious, two notions that can be illustrated through Akten’s art installation. (shrink)