scholarly journals A supervised method for unbiased peer-to-peer evaluation. An experience with engineering students

Author(s):  
Francisco J. Simois

<p class="Textoindependiente21">Continuous evaluation is an assessment method which has some appealing advantages but also implies an increase of the teacher’s efforts and it may be unfeasible if the class is large.</p><p class="Textoindependiente21">Of course, new technologies may be used to implement automatized evaluations, but it is usually quite difficult to carry them out when a complex task like an engineering problem is to be judged.</p><p class="Textoindependiente21">An interesting alternative is a peer-to-peer evaluation, that is, the students themselves review their works. Nevertheless, one drawback is that it is likely that the grades are overrated. Although this is a well-known problem, not much effort is usually put into solving it. In this work we propose a novel method to limit this inconvenience, which is that the teacher randomly supervises a fraction of the students tasks.</p><p class="Textoindependiente21">In this paper we present the results of such an experience carried out in a Signal Processing course within a Robotics Engineering degree. More precisely, four different sets of problems were solved by the teacher in class. At the same time, they were peer-to-peer reviewed by the students, following the indications given by the professor. Later, when the random supervision is performed, a penalty is applied if a major flaw in a student’s evaluation is detected. Thanks to this strategy, the scores tended to be more and more accurate according to the teacher’s criteria.</p><p class="Textoindependiente21">Finally, the results of a survey anonymously fulfilled by the students to assess this experience are also presented.</p>

Author(s):  
Laura G. Militello ◽  
Christen Sushereba ◽  
Simon Fernandez ◽  
David Bahner ◽  
Emily S. Patterson

Strategies for assessing macrocognitive skill must be tailored to work domains and specific tasks. This paper describes one approach for leveraging the critical decision method, a structured interview technique, to develop an assessment method for new technologies. The approach uses garden path scenarios, where initial cues suggest a different (false prime) diagnosis than later cues and thus requires changing the leading diagnosis over time, to assess sensemaking and re-planning skills in the context of tactical combat casualty care. Critical decision method interviews with emergency medicine physicians revealed critical cues specific to particular injuries and common across different injuries, and also provided cases that were used as the foundation for garden path scenarios. Evaluations using this approach with garden path scenarios enables having an objective measure to compare performance with and without a new technology on a continuous variable of the time until landmark events, such as recognition of a critical cue, committing to a likely diagnosis, or ruling out an inaccurate diagnosis. Additional measures include whether or not particular cues are noticed based upon gaze tracking data and think aloud statements, and exams that assess knowledge of anatomy and treatment priorities. Re-planning measures will focus on comparing performance to an expert model such as for tourniquet application, whether or not tasks on a checklist are conducted in the expected order including for prioritizing where to look for patient assessment, action priorities, and the trainee’s ability to link diagnosis to appropriate treatment.


Author(s):  
M. Isabel Dieste-Velasco ◽  
Carmen Rodríguez-Amigo ◽  
Teófilo García-Calderón ◽  
David González Peña ◽  
Montserrat Díez-Mediavilla ◽  
...  

Author(s):  
T. J. Joyce ◽  
P McCormack

Bioengineering is a multidisciplinary subject which necessitates that engineering students, who typically have no knowledge of medicine, must quickly and effectively gain a thorough understanding of the complexities of human anatomy. Teaching on a Bioengineering module at Newcastle University’s School of Mechanical and Systems Engineering employed a combination of Primal Pictures anatomical software, bespoke teaching materials and peer to peer learning. This allowed Bioengineering students to quickly construct an understanding of anatomical principles which they used in individual, assessed projects on total joint replacement. Anonymised, written feedback gathered from the students revealed overwhelmingly positive learning experiences and assessed projects indicated deep knowledge of the anatomical descriptions necessary to understand and work with the science of joint replacement.


2019 ◽  
pp. 311-326 ◽  
Author(s):  
Roger Brownsword

The main purpose of this chapter is to sketch two principal ways in which lawyers are likely to engage with new transactional technologies (such as smart contract applications of blockchain technologies), each form of engagement being characterized by its own questions and conversations. Whereas one form of engagement, ‘coherentism’, focuses on the fit between particular new technologies and the covering law of contract, the other, ‘regulatory-instrumentalism’, focuses on whether the law (relative to particular new technologies) is fit for regulatory purpose. The sketch is refined by drawing further distinctions between ‘transactionalist’ and ‘relationalist’ variants of ‘coherentism’ and ‘rule-based’ and ‘technocratic’ variants of regulatory-instrumentalism. With a view to decoding legal debates about emerging transactional technologies, this sketch is then applied to questions concerning smart contracts in, respectively, business-to-consumer, business-to-business, and peer-to-peer transactions.


Author(s):  
Zol Bahri Razali

Practical intelligence is often referred to as the ability of a person to solve practical challenges in a given domain. The lack of practical intelligence may be due to the way in which explicit knowledge is valued and subsequently assessed in engineering education, namely via examinations, tests, laboratory reports, and tutorial exercises. The lack of effective assessments on practical intelligence indicates implicit devaluation, which can significantly impair engineering students' ability to acquire practical intelligence. To solve this problem, the authors propose a new method of assessment for measuring practical intelligence acquired by engineering students after performing engineering laboratory classes. The novices-experts approach is used in designing the assessment instruments, based on the behaviors' of novices/experts observed and novices/experts representative work-related situations. The practical intelligence can be measured by calculating the difference between participants' and the experts' ratings; the closer the novices to experts, the higher the practical intelligence acquired.


Author(s):  
Andrea Gaynor ◽  
Greg Crebbin

At present, in many societies, engineers play a significant role in solving problems of energy, transport, accommodation and production; but similar problems have been solved through technical and non-technical means for thousands of years. Numerous historical examples therefore exist, in which the ends of different approaches to problem-solving are apparent: some tending to produce socially and/or ecologically sustainable outcomes, and some less positive. Historians do not simply narrate the past, they explain and interpret changes and continuities by paying attention to larger issues of, for example, class, gender, polity and economy. Such historical narratives, we argue, may have a useful role to play in efforts to shift the perspective of engineering students away from a narrow focus on complex technical solutions, towards the broader context in which their problem-solving will take place. This ability to assess the relationships between engineering problem-solving and the broader social and environmental context is critical to the development of a more sustainable and socially-just engineering practice.


2019 ◽  
Vol 9 (4) ◽  
pp. 812 ◽  
Author(s):  
Peng Zhang ◽  
Yihuan Wang ◽  
Guojin Qin

It is necessary to conduct a safety assessment for pipelines which are regarded as important lifeline projects after an earthquake. Since the random process of loading in earthquake engineering requires a large amount of samples, this paper establishes a non-random vibration method based on convex model theory and applies it to small sample engineering. Moreover, a space–time analytical model of buried pipeline and a finite element model are established to solve the dynamic response of pipelines with non-random process seismic excitation. Furthermore, the randomness of the stress values of the pipeline subjected to earthquake and the fuzziness of the degree of damage to pipelines are considered. Therefore, a novel method for assessing damage to pipelines is proposed based on cloud model. The results indicate that an analysis of non-random vibration combined with the cloud inference method can solve the fuzziness and randomness of the quantitative description and qualitative concept conversion for damage evaluation of pipelines. The method is also an adaptive and effective assessment method for pipelines exposed to earthquake and is able to promote safety management of pipeline engineering.


Author(s):  
Jinsong Tao ◽  
Muhammad Waqas ◽  
Xiaoxing Zhang ◽  
Zhe Wang ◽  
Yang Shu

In the 21st century, electrical power enterprises face the flood of new technologies and an aging workforce of professional engineers. To address this shortage, heightening the competences of current electrical engineering students is essential. Although researchers have raised these issues and presented expedient methodologies, they have not enhanced graduation rates because many young students are declining the electrical engineering major due to many factors. Nevertheless, the declining percentage must be addressed in the electrical engineering education system; hence this article implemented a research approval assessment technique to engage electrical engineering students’ interest with their major, enhance academic research and professional skills, and excel at their electrical engineering degree in the School of Electrical Engineering at Wuhan University, China. The assessment process assists students in recalling and integrating their interests to fulfill degree requirements and select future research, practicing engineering software, and enhancing the collaborative skills necessary for their future engineering careers. Although many students were involved in research approval assessment process, this article focuses on a Pakistani student’s approval process, detailing their topic of Pakistan power sector challenges (ferroresonance presence as high profile challenge), and evaluation results. The results indicated that students’ interests not only engage them effectively but also motivate their success.


Over 8,000 entries This is the most up-to-date dictionary of its kind, covering the key areas of construction and civil engineering. This new edition has been fully updated to span the subjects of sustainability, new technologies, disaster management, and building software, and provides authoritative and reliable definitions to a wide range of terms. More than 600 new entries have been added to include terms such as asset management, hydraulic failure, sustainable development, and value engineering, providing broad coverage of construction and civil engineering, management techniques and processes, as well as legal aspects such as contracts and procurement. Detailed illustrations complement the text, and a further reading section is included to guide the reader towards suggested materials. Written by a team of more than 130 experts from around the world, this dictionary is an authoritative resource for engineering students, construction professionals, and surveyors.


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