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The American writing the Thames Valley's history

Jim Donahue is writing and photographing the Thames Valley's life and history.




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Southend to begin fly-tipping cameras trial

The pilot scheme begins in December to help identify and charge fly-tippers.




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Paddington came to Hemel and left his marmalade

Gadebridge Pharmacy was used as a location for a scene in the film, Paddington in Peru.




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How St Albans Cathedral came to be

The Reverend Canon Will Gibbs explains how the story of Saint Alban became an inspiration




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Mooted club returns great for game - Premiership boss

The boss of Premiership Rugby says he welcomes the prospective return to professional rugby of Wasps, Worcester and London Irish.




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Club rep encourages autistic fans to attend games

"Having autism, you're recognised as having differences, but being a part of a club, you're the same."




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Always At Home: Bristol's Beautiful Game

This is a unique football experience with every match in the same place every Saturday.




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The Numbers on the Game

Perhaps one of the biggest "sex myths" making the rounds these days is to what extent experiences like mine are (or are not, as it is claimed) representative of sex workers in general.

(Of course, I personally make no claim to be an "average" sex worker and certainly not to speak for prostitution as a whole. I would love to see more and more voices claim the title of sex worker publically so we can demonstrate once and for all what a diverse group it is.)

But when it comes to studies and statistics, this is an issue that comes up a lot. Addressing the question of how representative a sample of people is of a population in general is one of the cornerstones of good study design. It's one of those things that, if wrong at the start of a research project, is a devil to try to correct in retrospect. In many cases it's impossible.

The Sex Myth discusses at length how this affects virtually all studies relating to prostitution. A large number of researchers assume street-based sex workers to be the majority of sex workers, which has the tendency to skew (and sometimes fully invalidate) their results. Because they often recruit research subjects via outreach or addiction programs, their sample is necessarily biased towards sex workers whose lives are chaotic.

Streetwalkers may often be the most visible face of sex work but it's far from the whole story.

So how representative is the cliche of the drug-addicted streetwalker leaning into a punter's car anyway? This is in some ways difficult to answer. But I highly suggest if you are interested in the topic to check out Maggie McNeill's excellent summary of what we do know. She makes the case far more succinctly that I ever could here, here and here. Go on and read those then come back when you're done.

In general, the data seem to agree that in most Western countries the percentage of sex workers who are streetwalkers is about 15%.

That's an aggregate estimate from a number of studies in a number of countries, most of which put the streetwalker population at between 5% and 20% of prostitutes. Of the remaining percentage, the splits of incall/managed vs outcall/escort vary by location and factors unique to those places. To see an example of what this looks like, you can check out the New Zealand sex worker breakdown here (scroll down for tables).

What this tells us is that studies recruiting their subjects only from street-based sex workers, and in addition doing so through crisis centre referrals, can never claim to represent sex workers at large. That would be about as ridiculous as reading my previous books and using that "data" to conclude all sex workers love pies and pints. They can at best be said to be a study of those people at that time which makes the results non-generalisable.

Promising studies do exist which try to address the problem of imbalance of numbers in counting sex workers. While it's hard to generalise 'sex work' from what is necessarily a very diverse group, I found this study from Suzanne Jenkins at Keele [pdf] to be a useful example of how we can begin to build a better sex worker survey. Note for example that it includes male and trans sex workers: a lot of studies ignore these groups altogether. While the mainstream heterosexual female sex worker is still in the majority, writing gender and sex diversity out of the story only serves to promote a narrow ideological viewpoint that paints all sex work as abuse of women by men. A viewpoint which is not true.

As you may know a bugbear of mine is the tendency to present scare stats about sex workers in isolation and not to involve a control group. I go on about lack of controls in all kinds of studies, not just sex worker ones, in detail in The Sex Myth if you would like to read more. So say, to take a non-prostitution example, you heard a statistic that claimed the majority of strippers got unwanted attention from clients. Presented without context it sounds impressive, but it is meaningless.

What would be a control group here? People with similar working hours in licensed establishments might be one - barmaids at non-strip clubs for example. Or people of a similar age in service industry professions involving tipping - like waitresses. Have a think: do you know any front-of-house people in food service who haven't had difficult and at times physically aggressive customers? I don't. Any study that doesn't even address the possibility that their results come from the service industry and alcohol rather than sex work per se has not fully examined the evidence in a way that should be taken seriously.

When it comes to population statistics like these getting control groups are hard. I get it. But that is, as we say where I come from, hard cheese. So there's no perfect control like a group of homeless, drug-addicted nuns somewhere we can use to see whether it's the sex that drives people to despair or not. But you still have to make an effort. And you recruit and match your controls up front, not after the fact.

Finally there is the matter of where data originates. As a scientist I know that it is damned difficult, if not impossible, to do work that is totally free of any external conflict of interest or internal hope for a particular outcome. But there are ways we can help sieve the believable from the unbelievable: if a study comes from a source with a strong ideology and a financial interest in promoting this stance it is right to question whether that affects both study design and interpretation of results. These generally fall into the category Laura Agustin has dubbed "the Rescue Industry".

There are a large number of other common problems with these studies flagged up in The Sex Myth. Bad estimation methods, lack of controls, lack of trends, avoiding peer review... and many more.

This is not to say that academic publishing is always right and self-publishing or internal reports always wrong. But there is a significant grain of salt we should take when the people who present themselves as experts on the topic of sex workers are from the same stable of folks better at generating press coverage than at reporting their mistakes.

Do I expect saying these things will please everyone? No, not at all. There are a lot of people with a big investment in keeping the myths about what sex work is supposedly "really" like alive. As well, there are people whose opposition to sex work isn't affected by the many well-adjusted people who do it anyway. It's also fair to say my particular bias is to prefer the quantitative over the qualitative: for as "Uncle Joe" Stalin so elegantly put it, quantity has a quality all its own.

But if you are the sort of person to whom the evidence is more important than the anecdote - and if you're a reader of this blog, I assume you are - then take the numbers seriously. The next time someone tries to sell you the poor-addicted-hooker myth, call it for the nonsense it so clearly is.




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Prospects for South Americans pursuing F1 “getting better” – Colapinto | RaceFans Round-up

In the round-up: F1 hopes for South Americans "getting better" • Verschoor back to MP for fifth F2 season • Verstappen races in charity event



  • RaceFans Round-up

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The times McLaren came closest to breaking 25-year constructors’ title drought | Formula 1

McLaren could be set to win their first constructors' title for 25 years this season. Here is how close they've come over that time.




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‘We have to fight for the commanding heights of American culture’

American Culture Project’s John Tillman on winning through upstream engagement




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Nuevo Reglamento que equipara las traducciones juradas en la UE

El año 2019 nos traerá alguna que otra novedad para las traducciones juradas en forma de un nuevo Reglamento que no ha estado exento de cierta polémica. Hablamos del Reglamento (UE) 2016/1191 del Parlamento Europeo y del Consejo de 6 de julio de 2016 por el que se facilita la libre circulación de los ciudadanos […]




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Congratulations Dr. Nabeel Mohamed!

It gives me great pleasure to post belated congratulations to Dr. Nabeel Mohamed on completing his Ph.D. in Computer Science from Purdue University.

Nabeel was an employee in WSO2 for a short time before he left to pursue Ph.D. work and is the first of many who have worked in WSO2 and gone onto doing Ph.Ds to complete the degree. Nabeel's Ph.D. thesis topic was "Privacy Preserving Access Control for Third-Party Data Management Systems" and his advisor was Prof. Elisa Bertino. The topic is of immense applicability for cloud data protection. Nabeel is staying on in Purdue as a Post-Doctoral Researcher right now.




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CONVOCATORIA DEL EXAMEN DE TRADUCTOR JURADO 2017

El Ministerio de Asuntos Exteriores convoca el examen de traductor jurado de 2017 en el BOE 61 de 13 de marzo de 2017. La espera se ha acabado. Sin embargo, la convocatoria de intérpretes jurados de...

The post CONVOCATORIA DEL EXAMEN DE TRADUCTOR JURADO 2017 appeared first on El Blog del Traductor Jurado.




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EXAMEN DE TRADUCTOR JURADO 2018

La Oficina de Interpretación de Lenguas del Ministerio de Asuntos Exteriores acaba de publicar la convocatoria de examen de traductor jurado 2018 en su web y en este artículo te damos todos los datos...

The post EXAMEN DE TRADUCTOR JURADO 2018 appeared first on El Blog del Traductor Jurado.



  • Examen de traductor jurado
  • convocatoria traductor jurado 2018
  • examen traductor jurado
  • examen traductor jurado 2018

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Proyecto de modificación del Reglamento de Traductores Jurados

Tras la modificación de la normativa de 2014, esta es la primera vez que el Ministerio de Asuntos Exteriores, Unión Europea y Cooperación de España (conocido por todos por sus anteriores siglas, MAEC) pretende...

The post Proyecto de modificación del Reglamento de Traductores Jurados appeared first on El Blog del Traductor Jurado.



  • Normativa del traductor jurado
  • legislación
  • normativa
  • normativa de traducción jurada
  • reglamento
  • reglamento de traducción jurada
  • reglamento de traductores jurados

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A rose by any other name would smell as sweet, but with no name, maybe not

The famous quotation from Shakespeare is that "a rose by any other name would smell as sweet". But what if the rose had no name. What if every time you talked about it, you had to come up with a description, you know that thing with the pretty pink petals, except sometimes they are red, and sometimes white, but it smells really nice, except some don't really smell and others do. You know the thing with multiple layers of petals except for the wild ones that only have one layer of petals.

Maybe not so sweet.

What about the other way round? You build a really cool system that works effectively and then it turns out that someone has named it? Now that is nice, and yes, your thing suddenly smells sweeter.

I've had this happen a lot. When we first started WSO2 we applied a lot of cool approaches that we learnt from Apache. But they weren't about Open Source, they were about Open Source Development. And when they got names it became easier to explain. One aspect of that is Agile. We all know what Agile means and why its good. Another aspect is Meritocracy. So now I talk about a meritocratic, agile development team and people get me. It helps them to understand why WSO2 is a good thing.

When Sanjiva and I started WSO2 we wanted to get rid of EJBs: we wanted to remove the onion-layers of technology that had built up in middleware and create a simpler, smaller, more effective stack. It turns out we created lean software, and that is what we call it today. We also create orthogonal (or maybe even orthonormal) software. That term isn't so well understood, but if you are a mathematician you will get what we mean.

Why am I suddenly talking about this? Because today, Srinath posted a note letting me know that something else we have been doing for a while has a nice name.

It turns out that the architecture we promote for Big Data analysis, you know, the one where we pipe the data through an event bus, into both real-time complex event processing and also into Cassandra where we apply Hive running on Hadoop to crunch it up and batch analyse it, and then store it either in a traditional SQL database for reports to be generated, or occasionally in different Cassandra NoSQL tables, you know that architecture?

Aha! Its the Lambda Architecture. And yes, its so much easier to explain now its got a nice name. Read more here: http://srinathsview.blogspot.co.uk/2014/03/implementing-bigdata-lambda.html




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Translating notary terms 3: How to translate the names of Spanish public-form notarial acts into English

This post looks at how to translate the names of the two* main types of public-form Spanish notarial acts, escrituras públicas and actas notariales. It also identifies handy language to use in translations of them. Escritura pública An escritura pública records an act executed before a notary. How you translate the name of an escritura […]




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Nabuco - Two Decades of Document Processing in Latin America

This paper reports on the Joaquim Nabuco Project, a pioneering work in Latin America on document digitalization, enhancement, compression, indexing, retrieval and network transmission of historical document images.




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IDEA: A Framework for a Knowledge-based Enterprise 2.0

This paper looks at the convergence of knowledge management and Enterprise 2.0 and describes the possibilities for an over-arching exchange and transfer of knowledge in Enterprise 2.0. This will be underlined by the presentation of the concrete example of T-System Multimedia Solutions (MMS), which describes the establishment of a new enterprise division "IG eHealth". This is typified by the decentralised development of common ideas, collaboration and the assistance available to performing responsibilities as provided by Enterprise 2.0 tools. Taking this archetypal example and the derived abstraction of the problem regarding the collaboration of knowledge workers as the basis, a regulatory framework will be developed for knowledge management to serve as a template for the systemisation and definition of specific Enterprise 2.0 activities. The paper will conclude by stating factors of success and supporting Enterprise 2.0 activities, which will facilitate the establishment of a practical knowledge management system for the optimisation of knowledge transfer.




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An Aspect-Oriented Framework for Weaving Domain-Specific Concerns into Component-Based Systems

Software components are used in various application domains, and many component models and frameworks have been proposed to fulfill domain-specific requirements. The general trend followed by these approaches is to provide ad-hoc models and tools for capturing these requirements and for implementing their support within dedicated runtime platforms, limited to features of the targeted domain. The challenge is then to propose more flexible solutions, where components reuse is domain agnostic. In this article, we present a framework supporting compositional construction and development of applications that must meet various extra-functional/domain-specific requirements. The key points of our contribution are: i) We target development of component-oriented applications where extra-functional requirements are expressed as annotations on the units of composition in the application architecture. ii) These annotations are implemented as open and extensible component-based containers, achieving full separation of functional and extra-functional concerns. iii) Finally, the full machinery is implemented using the Aspect-Oriented Programming paradigm. We validate our approach with two case studies: the first is related to real-time and embedded applications, while the




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A Framework to Evaluate Interface Suitability for a Given Scenario of Textual Information Retrieval

Visualization of search results is an essential step in the textual Information Retrieval (IR) process. Indeed, Information Retrieval Interfaces (IRIs) are used as a link between users and IR systems, a simple example being the ranked list proposed by common search engines. Due to the importance that takes visualization of search results, many interfaces have been proposed in the last decade (which can be textual, 2D or 3D IRIs). Two kinds of evaluation methods have been developed: (1) various evaluation methods of these interfaces were proposed aiming at validating ergonomic and cognitive aspects; (2) various evaluation methods were applied on information retrieval systems (IRS) aiming at measuring their effectiveness. However, as far as we know, these two kinds of evaluation methods are disjoint. Indeed, considering a given IRI associated to a given IRS, what happens if we associate this IRI to another IRS not having the same effectiveness. In this context, we propose an IRI evaluation framework aimed at evaluating the suitability of any IRI to different IR scenarios. First of all, we define the notion of IR scenario as a combination of features related to users, IR tasks and IR systems. We have implemented the framework through a specific evaluation platform that enables performing IRI evaluations and that helps end-users (e.g. IRS developers or IRI designers) in choosing the most suitable IRI for a specific IR scenario.




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Cost-Sensitive Spam Detection Using Parameters Optimization and Feature Selection

E-mail spam is no more garbage but risk since it recently includes virus attachments and spyware agents which make the recipients' system ruined, therefore, there is an emerging need for spam detection. Many spam detection techniques based on machine learning techniques have been proposed. As the amount of spam has been increased tremendously using bulk mailing tools, spam detection techniques should counteract with it. To cope with this, parameters optimization and feature selection have been used to reduce processing overheads while guaranteeing high detection rates. However, previous approaches have not taken into account feature variable importance and optimal number of features. Moreover, to the best of our knowledge, there is no approach which uses both parameters optimization and feature selection together for spam detection. In this paper, we propose a spam detection model enabling both parameters optimization and optimal feature selection; we optimize two parameters of detection models using Random Forests (RF) so as to maximize the detection rates. We provide the variable importance of each feature so that it is easy to eliminate the irrelevant features. Furthermore, we decide an optimal number of selected features using two methods; (i) only one parameters optimization during overall feature selection and (ii) parameters optimization in every feature elimination phase. Finally, we evaluate our spam detection model with cost-sensitive measures to avoid misclassification of legitimate messages, since the cost of classifying a legitimate message as a spam far outweighs the cost of classifying a spam as a legitimate message. We perform experiments on Spambase dataset and show the feasibility of our approaches.




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Notre Dame des spiritualités.

L’émoi de l’incendie de Notre Dame de Paris dépasse largement nos frontières hexagonales. Et plus intéressant encore, il transcende nos croyances, nos cultures, il touche au plus de profond de l’être humain. A cet égard, j’ai également été touché par...




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Serbie : des manifestants demandent la démission du gouvernement après le drame de Novi Sad

Serbie : des manifestants demandent la démission du gouvernement après le drame de Novi Sad










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Undertaking a bibliometric analysis to investigate the framework and dynamics of slow fashion in the context of sustainability

The current study has outlined slow fashion (SF) research trends and created a future research agenda for this field. It is a thorough analysis of the literature on slow fashion. Numerous bibliometric features of slow fashion have been discussed in the paper. This study comprises 182 research articles from the Scopus database. The database was utilised for bibliometric analysis. To identify certain trends in the area of slow fashion, a bibliometric study is done. For bibliometric analysis, the study employed R-software (the Biblioshiny package). Here, VOSviewer software is used to determine the co-occurrence of authors, countries, sources, etc. The study has outlined the gap that still exists in the field of slow fashion. Here, the research outcome strengthens the domain of slow fashion for sustainable consumption. The study findings will be useful for policymakers, industry professionals, and researchers.




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What we know and do not know about video games as marketers: a review and synthesis of the literature

The video game industry (VGI) has evolved considerably, transitioning from a niche market to a substantial sector. The VGI's magnitude and the societal implications tied to video game consumption have naturally piqued the interest of scholars in marketing and consumer behaviour. This research serves a dual purpose: firstly, it consolidates existing VG literature by evaluating articles, concepts, and methodologies, systematically tracing their evolution; secondly, it outlines potential directions and implications for forthcoming research. Within this literature, a predominant focus lies on articles investigating purchase decisions concerning VGs, followed by those exploring the integration of video game consumption into broader social contexts. Notably, a limited number of articles delve into player-game interactions and experiences within gaming worlds. This imbalance can be attributed to the fact that such inquiries are often suited to psychology and multidisciplinary journals, while the marketing discipline has predominantly addressed the VGI from a marketing management standpoint.




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What drives mobile game stickiness and in-game purchase intention? Based on the uses and gratifications theory

Despite the considerable growth potential predicted for mobile games, little research explored what motivates users to be sticky and make purchases in the mobile game context. Drawing on uses and gratifications theory (UGT), this study evaluates the influencing effects of players' characteristics (i.e., individual gratification and individual situation) and the mobile game structure (i.e., presence and governance) on players' mobile game behaviour (i.e., stickiness and purchase intention). Specifically, the model was extended with factors of the individual situation and governance. After surveying 439 samples, the research model was examined using the Partial least squares structural equation modelling (PLS-SEM) approach. The results indicate that stickiness is a crucial antecedent for users' in-game purchase intention. The individual situation plays an essential role in influencing user gratification, and individual gratification is the most vital criterion affecting stickiness. Finally, except for incentives, presence, and integration positively affect stickiness. This study provides further insights into both mobile game design and governance strategies.




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Evaluation on stock market forecasting framework for AI and embedded real-time system

Since its birth, the stock market has received widespread attention from many scholars and investors. However, there are many factors that affect stock prices, including the company's own internal factors and the impact of external policies. The extent and manner of fundamental impacts also vary, making stock price predictions very difficult. Based on this, this article first introduces the research significance of the stock market prediction framework, and then conducts academic research and analysis on two key sentences of stock market prediction and artificial intelligence in stock market prediction. Then this article proposes a constructive algorithm theory, and finally conducts a simulation comparison experiment and summarises and discusses the experiment. Research results show that the neural network prediction method is more effective in stock market prediction; the minimum training rate is generally 0.9; the agency's expected dilution rate and the published stock market dilution rate are both around 6%.




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Digital transformation in universities: models, frameworks and road map

Digital Transformation seeks to improve the processes of an organisation by integrating digital technology in all its areas, this is inevitable due to technological evolution that generates new demands, new habits and greater demands on customers and users, therefore Digital Transformation is important. In organisations to maintain competitiveness. In this context, universities are no strangers to this reality, but they find serious problems in their execution, it is not clear how to deal with an implementation of this type. The work seeks to identify tools that can be used in the implementation of Digital Transformation in universities, for this a systematic review of literature is carried out with a method based on three stages, 23 models, 13 frameworks and 8 roadmaps are identified. The elements found are analysed, obtaining eight main components with their relationships and dependencies, which can be used to generate more optimal models for universities.




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Establishing an Institutional Framework for an E-learning Implementation – Experiences from the University of Rijeka, Croatia




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A Critical Analysis of Active Learning and an Alternative Pedagogical Framework for Introductory Information Systems Courses




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Using Adult Learning Principles as a Framework for Learning ICT Skills Needed for Research Projects




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Presenting an Alternative Source Code Plagiarism Detection Framework for Improving the Teaching and Learning of Programming




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A Virtual Education: Guidelines for Using Games Technology




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An Instructional Design Framework to Improve Student Learning in a First-Year Engineering Class

Increasingly, numerous universities have identified benefits of flipped learning environments and have been encouraging instructors to adapt such methodologies in their respective classrooms, at a time when departments are facing significant budget constraints. This article proposes an instructional design framework utilized to strategically enhance traditional flipped methodologies in a first-year engineering course, by using low-cost technology aids and proven pedagogical techniques to enhance student learning. Implemented in a first-year engineering course, this modified flipped model demonstrated an improved student awareness of essential engineering concepts and improved academic performance through collaborative and active learning activities, including flipped learning methodologies, without the need for expensive, formal active learning spaces. These findings have been validated through two studies and have shown similar results confirming that student learning is improved by the implementation of multi-pedagogical strategies in-formed by the use of an instructional design in a traditional classroom setting.




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Formal Learning Sequences and Progression in the Studio: A Framework for Digital Design Education

This paper examines how to leverage the design studio learning environment throughout long-term Digital Design education in order to support students to progress from tactical, well-defined, device-centric routine design, to confidently design sustainable solutions for strategic, complex, problems for a wide range of devices and platforms in the digital space. We present a framework derived from literature on design, creativity, and theories on learning that: (a) implements a theory of formal learning sequences as a user-centered design process in the studio; and (b) describes design challenge progressions in the design studio environment modeled in seven dimensions. The framework can be used as a tool for designing, evaluating, and communicating course progressions within – and between series of – design studio courses. This approach is evaluated by implementing a formal learning sequence framework in a series of design studio courses that progress in an undergraduate design-oriented Informatics program. Reflections from students, teachers, and external clients indicate high student motivation and learning goal achievement, high teacher satisfaction and skill development, and high satisfaction among external clients.




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MOOC Success Factors: Proposal of an Analysis Framework

Aim/Purpose: From an idea of lifelong-learning-for-all to a phenomenon affecting higher education, Massive Open Online Courses (MOOCs) can be the next step to a truly universal education. Indeed, MOOC enrolment rates can be astoundingly high; still, their completion rates are frequently disappointingly low. Nevertheless, as courses, the participants’ enrolment and learning within the MOOCs must be considered when assessing their success. In this paper, the authors’ aim is to reflect on what makes a MOOC successful to propose an analysis framework of MOOC success factors. Background: A literature review was conducted to identify reported MOOC success factors and to propose an analysis framework. Methodology: This literature-based framework was tested against data of a specific MOOC and refined, within a qualitative interpretivist methodology. The data were collected from the ‘As alterações climáticas nos média escolares - Clima@EduMedia’ course, which was developed by the project Clima@EduMedia and was submitted to content analysis. This MOOC aimed to support science and school media teachers in the use of media to teach climate change Contribution: By proposing a MOOC success factors framework the authors are attempting to contribute to fill in a literature gap regarding what concerns criteria to consider a specific MOOC successful. Findings: This work major finding is a literature-based and empirically-refined MOOC success factors analysis framework. Recommendations for Practitioners: The proposed framework is also a set of best practices relevant to MOOC developers, particularly when targeting teachers as potential participants. Recommendation for Researchers: This work’s relevance is also based on its contribution to increasing empirical research on MOOCs. Impact on Society: By providing a proposal of a framework on factors to make a MOOC successful, the authors hope to contribute to the quality of MOOCs. Future Research: Future work should refine further the proposed framework, by in testing it against data collected in other MOOCs.




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Enhancing Children's Interest and Knowledge in Bioengineering through an Interactive Videogame

Aim/Purpose: Bioengineering is a burgeoning interdisciplinary learning domain that could inspire the imaginations of elementary aged children but is not traditionally taught to this age group for reasons unrelated to student ability. This pilot study presents the BacToMars videogame and accompanying curricular intervention, designed to introduce children (aged 7-11) to foundational concepts of bioengineering and to the interdisciplinary nature of scientific endeavors. Background: This pilot study explores the bioengineering-related learning outcomes and attitudes of children after engaging with the BacToMars game and curriculum intervention. Methodology: This study drew on prior findings in game-based learning and applied them to a videogame designed to connect microbiology with Constructionist microworlds. An experimental comparison showed the learning and engagement affordances of integrating this videogame into a mixed-media bioengineering curriculum. Elementary-aged children (N = 17) participated in a 9-hour learning intervention, with one group of n = 8 children receiving the BacToMars videogame and the other group (n = 9) receiving traditional learning activities on the same content. Pre- and post-surveys and interview data were collected from both groups. Contribution: This paper contributes to education research on children’s ability to meaningfully engage with abstract concepts at the intersection of science and engineering through bioengineering education, and to design research on developing educational technology for introducing bioengineering content to elementary school children. Findings: Children in both groups showed improved knowledge and attitudes related to bioengineering. Children who used BacToMars showed slightly stronger performance on game-specific concepts, while children in the control condition showed slightly higher generalized knowledge of bioengineering concepts. Recommendations for Practitioners: Practitioners should consider bioengineering as a domain for meaningful, interdisciplinary learning in elementary education.. Recommendation for Researchers: Design researchers should develop playful ways to introduce bioengineering concepts accurately and to engage children’s imaginations and problem-solving skills. Education researchers should further investigate developmentally appropriate ways to introduce bioengineering in elementary education. Impact on Society: BacToMars introduces a meaningful scenario to contextualize complex con-cepts at the intersection of science and engineering, and to engage children in real-world, interdisciplinary problem solving. Future Research: Future research should explore BacToMars and bioengineering curricula for elementary-aged children in larger samples, with longer intervention times.




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Changing the Learning Environment: Teachers and Students’ Collaboration in Creating Digital Games

Aim/Purpose: The current study examines the impact of an intervention program to train teachers to collaborate with their students while creating digital games. Background: Teachers seem unable to leverage the potential of ICT to present students with a rich learning environment. ICT integration is usually at a relatively simple and concrete level without changing the traditional teacher-student paradigm. Methodology: The study is both quantitative and qualitative. Participants were 63 active teachers studying in the M.Ed. program at a teacher education college. The teachers responded to a series of pre- and post-questionnaires and wrote a concluding reflection. Contribution: Teaching based on creating digital games, combined with teacher-class collaboration, is a viable and real alternative of constructivist teaching, adapted to different learners. Findings: The SEM path analysis showed that it was only after the intervention that the lower the teachers’ resistance to changing teaching patterns, the higher their intrinsic motivation to learn an innovative pedagogical-technological program and likewise the sense of mastery of 21st-century skills, resulting in a positive attitude towards classroom collaboration. The qualitative findings reveal eight categories dealing with two main themes: the first is professional development, including conceptual, behavioral and emotional change, and the second is the teachers’ perception of the learners. Recommendations for Practitioners: Teacher training should be ongoing in order to change teaching-learning processes and promote an active approach based on constructive principles, 21st-century skills and collaboration between teachers and students in a computer environment. Recommendation for Researchers: Future studies should start by sampling teachers and education professionals who have convenient access to technology in their teaching-learning environment. Impact on Society: Collaboration between teachers and students in creating learning games in a computer environment and teacher-class collaboration, in general, require very different training than that which exists today. Hence there should be some rethinking of teacher training. The proposed pedagogical model is one such idea in the right direction. Future Research: A larger study with a greater number of participants, including a control group, should be conducted.




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Improving Workgroup Assessment with WebAVALIA: The Concept, Framework and First Results

Aim/Purpose: The purpose of this study is to develop an efficient methodology that can assist the evaluators in assessing a variable number of individuals that are working in groups and guarantee that the assessment is dependent on the group members’ performance and contribution to the work developed. Background: Collaborative work has been gaining more popularity in academic settings. However, group assessment needs to be performed according to each individual’s performance. The problem rests on the need to distinguish each member of the group in order to provide fair and unbiased assessments. Methodology: Design Science Research methodology supported the design of a framework able to provide the evaluator with the means to distinguish individuals in a workgroup and deliver fair results. Hevner’s DSR guidelines were fulfilled in order to describe WebAVALIA. To evaluate the framework, a quantitative study was performed and the first results are presented. Contribution: This paper provides a methodological solution regarding a fair evaluation of collaborative work through a tool that allows its users to perform their own assessment and peer assessment. These are made accordingly to the user’s perspectives on the performance of each group member throughout the work development. Findings: The first analysis of the results indicates that the developed method provides fairness in the assessment of group members, delivering a distinction amongst individuals. Therefore, each group member obtains a mark that corresponds to their specific contribution to the workgroup. Recommendations for Practitioners: For those who intend to apply this workgroup assessment method, it is relevant to raise student awareness about the methodology that is going to be used. That is, all the functionalities and steps in WebAVALIA have to be thoroughly explained before beginning of the project. Then, the evaluators have to decide about the students’ intermediate voting, namely if the evaluator chooses or not to publish student results throughout the project’s development. If there is the decision to display these intermediate results, the evaluator must try to encourage collaboration among workgroup members, instead of competition. Recommendation for Researchers: This study explores the design and development of an e-assessment tool – WebAVALIA. In order to assess its feasibility, its use in other institutions or contexts is recommended. The gathering of user opinions is suggested as well. It would then be interesting to compare the findings of this study with the results from other experimentations Impact on Society: Sometimes, people develop a rejection of collaborative work because they feel exploited due to the biased evaluation results. However, the group members assessment distinction, according to each one’s performance, may give each individual a sense of fairness and reward, leading to an openness/willingness towards collaborative work. Future Research: As future work, there are plans to implement the method in other group assessment contexts – such as sports and business environments, other higher education institutions, technical training students – in other cultures and countries. From this myriad of contexts, satisfaction results would be compared. Other future plans are to further explore the mathematical formulations and the respective WebAVALIA supporting algorithms.




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Influence of nostalgic behaviour on the consumption patterns of adults: a conceptual framework

Nostalgia has an intrinsic association with consumer behaviour. Retrieval of memories drives emotions among consumers and reinforces experience-led buying decisions. Despite nostalgia, and consumption being a common practice at various times in life, issues regarding the nostalgia stimuli on customers' perceptions and buying decisions remain less explored. This article aims at exploring the consumption pattern of adult consumers by analysing the influence of nostalgic behaviour referring to the autobiographic memories and social motivations. It describes the purchase intentions and consumption pattern among adult consumers in the context of self-reference criteria based on nostalgic memories and social motivations. This article offers constructive understanding on establishing relationship between nostalgic memories and consumption pattern over the temporal framework and establishing the brand loyalty and hedonic satisfaction. It contributes to the existing literature by critically examining the theoretical concepts and empirical findings of previous studies on perceptions of consumers on nostalgic emotions and their role in making buying decisions.




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Constitutional and international legal framework for the protection of genetic resources and associated traditional knowledge: a South African perspective

The value and utility of traditional knowledge in conserving and commercialising genetic resources are increasingly becoming apparent due to advances in biotechnology and bioprospecting. However, the absence of an international legally binding instrument within the WIPO system means that traditional knowledge associated with genetic resources is not sufficiently protected like other forms of intellectual property. This means that indigenous peoples and local communities (IPLCs) do not benefit from the commercial exploitation of these resources. The efficacy of domestic tools to protect traditional knowledge and in balancing the rights of IPLCs and intellectual property rights (IPRs) is still debated. This paper employs a doctrinal research methodology based on desktop research of international and regional law instruments and the Constitution of the Republic of South Africa, 1996, to determine the basis for balancing the protection of genetic resources and associated traditional knowledge with competing interests of IPLCs and IPRs in South Africa.




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Cognitively-inspired intelligent decision-making framework in cognitive IoT network

Numerous Internet of Things (IoT) applications require brain-empowered intelligence. This necessity has caused the emergence of a new area called cognitive IoT (CIoT). Reasoning, planning, and selection are typically involved in decision-making within the network bandwidth limit. Consequently, data minimisation is needed. Therefore, this research proposes a novel technique to extract conscious data from a massive dataset. First, it groups the data using k-means clustering, and the entropy is computed for each cluster. The most prominent cluster is then determined by selecting the cluster with the highest entropy. Subsequently, it transforms each cluster element into an informative element. The most informative data is chosen from the most prominent cluster that represents the whole massive data, which is further used for intelligent decision-making. The experimental evaluation is conducted on the 21.25 years of environmental dataset, revealing that the proposed method is efficient over competing approaches.