scholarly journals Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment

2021 ◽  
Author(s):  
Matthias Teine

Our economies and societies are changing, with significant effects on each individual, as they have to cope with increasingly complex and unpredictable working lives. Therefore, innovative digital learning applications that respond to their end user's needs and desires become inevitable. Whilst relying on user-centered design structures, the participatory design methodology provides a promising approach towards the creation of such a new generation of digital learning applications. After thoroughly outlining the research undertaking's rationale and following to a theoretical discussion, the author gives insights into the results of problem-centered interviews with digital learning and user experience experts that build the basis for the creation for a prototypical participatory design process. These findings primarily confirm the recent literature and provide, complemented by the created process, a sound basis for further theory-oriented, scientific discussions but application in practice as well.


Author(s):  
Claude Daley ◽  
Andrew Kendrick

The future development of oil and gas reserves in remote Polar Regions areas will require a new generation of highly ice-capable vessels. Many may need to be capable of operating at all times of the year. These ships will need to be able to travel faster in heavy ice than all but the largest icebreakers, which poses challenges for both hull and machinery design. The American Bureau of Shipping (ABS), BMT Fleet Technology Limited (BMT) and Hyundai Heavy Industries (HHI) are currently undertaking a joint project aimed at addressing these design challenges. Because of the unique and innovative aspects of large fast ships for Polar ice development, new methodologies for direct calculation of loads on all areas of the hull are needed. The project is also addressing the need for new techniques for the analysis of the outer hull, double hull and gas containment systems of these ships under design and accidental loads; areas in which ‘rule design’ can only provide a starting point. This paper focuses on the midbody ice loads that may results from both ice pressures and from glancing collisions in the midbody area. The paper highlights some of the challenges of direct design.


Author(s):  
Tatiana Rezer ◽  

Humanity’s progress is determined by its spiritual, intellectual and physical potential. The role of each of them is equally important. All types of potential capabilities are developed through the process of learning and education, which have their own types of resources and technologies to ensure the quality of education and health. The digital learning environment is a new kind of educational resource that has emerged as a result of technological advances in this century. Based on a comparative analysis, the reasons for the emergence of a new form of didactogeny in the digital educational environment: nomophobia, caused by smartphone addiction among young people, have been identified. The method of theoretical analysis of relevant publications allowed for the propagation level of this form of didactogeny to be revealed. The result: 53% of UK residents suffer from nomophobia, while in Russia only 3 teenagers out of 68 subjects were able to go without a using phone for 8 hours and engage in intellectual activities, from which they gained satisfaction and new knowledge. An empirical questionnaire study showed that 41.29 per cent of young people in Russia’s student population reported being overloaded with information from various types of sources. Conclusions: there are no formal health and hygiene requirements for the digital learning environment; ‘cliched’ thinking is widespread among the new generation; an emotional overload of students is emerging, which leads to neuroticism and depression; new forms of didactogenia such as nomophobia are developing in the educational process; low digital academic literacy is diagnosed among educational process participants.


Author(s):  
Tamara Pigozne ◽  
Arturs Medveckis

Millennial generation, starting from twelve-year-olds up to adolescents, is one of the most complicated generational cohorts; its ecosystem, beyond of formal and non-formal education boundaries, is more diverse than for any other previous generation. Digital learners prefer a digital learning environment, as the advantage of digital learning is the control over time, place, way and pace, enabling you to impersonate as an educational institution, applying smart personal network which consists of 3 domains: applied smart technologies; reflexive pedagogy for the digital century [1]; learning environment [2], thus without any confrontation of formal and non-formal education, but rather with consolidation of  resources to promote engineering development of formal environment at school, higher educational establishments and informal activities – projects, scientists’ night events, open days, interest-related education programmes, etc.Goal of the research is to analyse the proposal of formal and non-formal education for the new generation digital learning demand and identify the examples of good practice in engineering, based on the identified digital leaning criteria obtained as a result of theoretical analysis. Millennial generation, starting from twelve-year-olds up to adolescents, is one of the most complicated generational cohorts; its ecosystem, beyond of formal and non-formal education boundaries, is more diverse than for any other previous generation. Digital learners prefer a digital learning environment, as the advantage of digital learning is the control over time, place, way and pace, enabling you to impersonate as an educational institution, applying smart personal network which consists of 3 domains: applied smart technologies; reflexive pedagogy for the digital century [1]; learning environment [2], thus without any confrontation of formal and non-formal education, but rather with consolidation of  resources to promote engineering development of formal environment at school, higher educational establishments and informal activities – projects, scientists’ night events, open days, interest-related education programmes, etc.Goal of the research is to analyse the proposal of formal and non-formal education for the new generation digital learning demand and identify the examples of good practice in engineering, based on the identified digital leaning criteria obtained as a result of theoretical analysis. In the design research of cross-sectional study 323 respondents took part: 226 representatives of formal education and 97 representatives of non-formal education. In the research the quantitative and qualitative data collection (questionnaires, case analysis) and processing (nonparametric software in SPSS environment and content analysis) methods have been applied. Results of Mann-Whitney U-test to two independent samples confirm statistically significant differences depending on the respondents’ profile:   representatives  of  non-formal  education  tend  to value Higher   such   digital   learning   criteria   as  situational and  authentic, whereas representatives of formal education value higher interactive digital learning on demand, which is related to application of different media platforms (p≤0.05).The research analyses the examples of good practice in case studies in engineering.Engineering can be geared towards fundamental research, but in the pupils’ educational process the innovative solutions of technical sciences with a perspective of practical applicability arouse a greater interest. Learning efficiency and acquisition of new knowledge are successful if learning is linked to research work in higher educational establishments and transfer of findings in the education system in close collaboration with representatives of economic sectors and businesses. 


2021 ◽  
Vol 34 (05) ◽  
pp. 345-352
Author(s):  
Nadine Hachach-Haram ◽  
Danilo Miskovic

AbstractCompared with other fields, adoption of robotics in colorectal surgery remains relatively slow. One of the reasons for this is that the expected benefits of robotics, such as greater accuracy, speed, and better patient outcomes, are not born out in evidence comparing use of robotics for colorectal procedures to conventional laparoscopy. But evidence also suggests that outcomes with colorectal robotic procedures depend on the experience of the surgeon, suggesting that a steep learning curve is acting as a barrier to the benefits of robotics being realized. In this paper, we analyze exactly why surgeon skill and proficiency is such a critical factor in colorectal surgery, especially around the most complex procedures associated with cancer. Shortening of the learning curve is crucial for both the adoption of the technique and the efficient use of expert trainers. Looking beyond the basics of training and embracing a new generation of digital learning technologies that facilitate peer-to-peer collaboration and development beyond the confines of individual institutions may be an important contributor to achieve these goals in the future.


Author(s):  
Tulga Ersal ◽  
Jeffrey L. Stein ◽  
Loucas S. Louca

A new generation of machine tools called Reconfigurable Machine Tools (RMTs) is emerging as a means for industry to be more competitive in a market that experiences frequent changes in demand. New methodologies and tools are necessary for the efficient design of these machine tools. It is the purpose of this paper to present a modular approach for RMT servo axis modeling, which is part of a larger effort to develop an integrated RMT design and control environment. The components of the machine tool are modeled in a modular way, such that the model of any given configuration can be obtained by assembling the corresponding component models together based on the topology of the machine. The component models are built using the bond graph language that enables the straightforward development of the required modular library. These machine tool models can be used for the evaluation, design and control of the RMT servo axes. The approach is demonstrated through examples, and the benefits and drawbacks of this approach are discussed. The results show that the proposed approach is a promising step towards an automated and integrated RMT design environment, and the challenges in order to complete this goal are discussed.


2011 ◽  
Vol 11 ◽  
pp. 1300-1312 ◽  
Author(s):  
Ross Stevenson ◽  
Axel J. Hueber ◽  
Alan Hutton ◽  
Iain B. McInnes ◽  
Duncan Graham

The development of nanoscale molecular probes capable of diagnosis, characterization, and clinical treatment of disease is leading to a new generation of imaging technologies. Such probes are particularly relevant to inflammation, where the detection of subclinical, early disease states could facilitate speedier detection that could yield enhanced, tailored therapies. Nanoparticles offer robust platforms capable of sensitive detection, and early research has indicated their suitability for the detection of vascular activation and cellular recruitment at subclinical levels. This suggests that nanoparticle techniques may provide excellent biomarkers for the diagnosis and progression of inflammatory diseases with magnetic resonance imaging (MRI), fluorescent quantum dots (QDs), and surface enhanced Raman scattering (SERS) probes being just some of the new methodologies employed. Development of these techniques could lead to a range of sensitive probes capable of ultrasensitive, localized detection of inflammation. This article will discuss the merits of each approach, with a general overview to their applicability in inflammatory diseases.


2019 ◽  
Vol 57 (2(114)) ◽  
Author(s):  
Mieczysław Muraszkiewicz

Purpose/Thesis: The purpose of the study is to argue, explain and justify that a troika of AI (Artificial Intelligence), IoT (Internet of Things), and 5G broadband cooperating with each other has the trans­formative power that can provide a synergetic impact on the information literacy and education. The troika can provide new methodologies and tools that will unleash and boost the spirit of innovation and trigger energy, passion, and creativity resulting in developing better education ecosystems.Approach/Methods: The method adopted in the study is twofold, namely: (i) it presents and examines the features of AI, IoT, and 5G and the way they can cooperate with each other in order to develop new education models and patterns, and then analyses the issue of e-literacy by breaking it apart into e-skills, information literacy, and media literacy; (ii) it shows how AI, IoT, and 5G can support information literacy and education.Results and conclusions: The outcome of the research is the presentation and examination of AI, IoT, and 5G collaborating with each other towards transforming education models and processes. It concludes that the AI, IoT, and 5G troika has a great potential to boost teaching and learning, and to inspire and support the development of new generation educational ecosystems. However, in the digital age information literacy and education is too serious a matter to be left solely to educators and ICT technologists. Learners, students, and concerned citizens need to be involved in the trans­formation processes.Originality/Value: The originality and value of the research is to prove that while working together AI, IoT, and 5G can provide a significant support for transforming the present education patterns, in particular regarding the information literacy that is a condition sine qua non of effective education in the digital era. This can help scholars and education communities to unleash innovativeness aimed at developing new generations of educational ecosystems, and thereby make learning and teaching processes more efficient and available to significantly larger audiences.


Author(s):  
Maria Virginia Caballero ◽  
Manila Candiracci

Embryonic and larval Danio rerio is increasingly used as a toxicological model to conduct rapid in vivo tests and developmental toxicity assays; the zebrafish features as high genetic homology to mammals; robust phenotypes; and its value in high-throughput genetic and chemical screening have made it a powerful tool to evaluate in vivo toxicity. New methodologies of genome editing as CRISPR/Cas9; ZFN or Talen make it a suitable model to perform studies to pair human genetic diseases as well. This review surveys recent studies; employing zebrafish as experimental model; comparing it with other in vivo and in vitro models; presenting zebrafish as a potent vertebrate tool to evaluate drug toxicity to facilitate more extensive; easy and comprehensive knowledge of new generation drugs.


2020 ◽  
Vol 22 (1) ◽  
pp. 312
Author(s):  
Jakub Siegel ◽  
Markéta Kaimlová ◽  
Barbora Vyhnálková ◽  
Andrii Trelin ◽  
Oleksiy Lyutakov ◽  
...  

The properties of materials at the nanoscale open up new methodologies for engineering prospective materials usable in high-end applications. The preparation of composite materials with a high content of an active component on their surface is one of the current challenges of materials engineering. This concept significantly increases the efficiency of heterogeneous processes moderated by the active component, typically in biological applications, catalysis, or drug delivery. Here we introduce a general approach, based on laser-induced optomechanical processing of silver colloids, for the preparation of polymer surfaces highly enriched with silver nanoparticles (AgNPs). As a result, the AgNPs are firmly immobilized in a thin surface layer without the use of any other chemical mediators. We have shown that our approach is applicable to a broad spectrum of polymer foils, regardless of whether they absorb laser light or not. However, if the laser radiation is absorbed, it is possible to transform smooth surface morphology of the polymer into a roughened one with a higher specific surface area. Analyses of the release of silver from the polymer surface together with antibacterial tests suggested that these materials could be suitable candidates in the fight against nosocomial infections and could inhibit the formation of biofilms with a long-term effect.


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