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Namnlöst dokument

  • Björn Sjödén

WHAT ARE GOOD EXAMPLES OF EDUCATIONAL SOFTWARE?länk till annan webbplats
This paper describes the background and discussion points to a poster presentation, which aims to highlight and scrutinize good examples of educational software. The exploration of this question – in the exact formulation "What are good examples of educational software?" – dates back to 2015, when the author posted it for open discussion on ResearchGate, a social network for researchers. At the time of writing, this question has more than 6.800 reads and received 27 responses containing lists, examples, links, recommendations and motivations for 40 (types of) named software, from professional researchers and educators in the field. An attendant aim is to bring these suggestions into an overview that can tell something more precise about what makes for "good" educational software, taking into account both the research literature and the respondents’ motivations. For this purpose, the examples were categorized by their main instructional function as suggested in previous literature, and further assessed by applying my recently introduced concept of Integral Digital Values (IDV). The result is a concretization of how we can recognize the implementation of relevant cognitive and pedagogical principles in well-designed educational software. Some identified aspects were how the software made use of meaningful representations, effective feedback, adaptivity and novel social configurations. More complex software systems were suggested as "good examples" with reference to their use of AI-techniques, conceptual modelling and/or learning analytics. These non-conclusive results serve to inform the on-going work of formulating scientifically grounded criteria for identifying and assessing key features of educational technologies, such as the reviewed software. In order to pursuing this discussion further, a number of resulting questions are suggested.

  • Björn Sjödén
  • Vania Dimitrova
  • Antonija Mitrovic

Using Thematic Analysis to Understand Students’ Learn-ing of Soft Skills from Videoslänk till annan webbplats

  • Betty Tärning
  • Björn Sjödén
  • Agneta Gulz
  • Magnus Haake

Young Children’s Experience and Preference of Feedback : Sense and Sensibilitylänk till annan webbplats
This study explored the effects of adding visual continuous feedback in the form of feedback barsto a teachable-agent based learning game in mathematics. Forty-five (45) children, 8- to 12-years-old, fromthree Swedish school classes used the game during four math lessons. The focus was on how feedback to thestudents regarding their teachable agents learning progression – and different detailedness of such feedback –affects how the students (in a teacher role) experience the learning game. The results suggest that studentswere positive towards receiving immediate and continuous feedback, but their preferences with respect to thedetailedness of the feedback differed according to their age. We found a divergence as to the preferrednumber of bars, where the 3rd and 5th graders preferred 1 or 3 bars but where the 2nd graders preferred themore detailed version (6 bars) despite their lack of understanding of what the different bars represented.

  • Patrik Lilja
  • Thomas Hillman

Lost in Abstraction? : Uses of Epistemological Metaphors in the Teaching of Computational Thinkinglänk till annan webbplats
This conceptual paper addresses the uses of epistemological metaphors (Thagard & Beam, 2004) in an emerging educational domain with the key areas of computational thinking, programming and data science. The point of departure of the analysis is descriptions of abstraction, widely considered to be a core aspect of computational thinking. Abstraction in this context is often described as the removal of ‘irrelevant’ details to make a problem accessible to algorithmic solutions. Some authors, most notably Stephen Wolfram, further claim that computational thinking makes the world and by extension content in different school subjects more transparent and easier to understand. This yields the impression that the result of abstraction is simply a better or more useful picture of the world or subject matter, not a picture from a very specific point of view. The use of visual metaphors by Wolfram are further analysed drawing on Robert Romanyshyn´s (1989) study of the development of the linear perspective in art and its radical consequences for cultural understandings of the relationship between the world, humans and technology. The conceptual analysis also describes alternative metaphors grounded in empirical work in the field of data science, including Roth´s (2013) analysis of scientists’ recontextualizations of abstracted data and Philip, Olivares-Pasillas and Rocha’s (2016) study of racial aspects of visualizations that emphasizes dispute and antagonism. In response to these and Wolfram´s approach, a reflexive pedagogy of computational thinking is considered that raises the question, can what is lost in abstraction become the figure?

  • Naveed Muhammad
  • Björn Åstrand

Intention Estimation Using Set of Reference Trajectories as Behaviour Modellänk till annan webbplats
Autonomous robotic systems operating in the vicinity of other agents, such as humans, manually driven vehicles and other robots, can model the behaviour and estimate intentions of the other agents to enhance efficiency of their operation, while preserving safety. We propose a data-driven approach to model the behaviour of other agents, which is based on a set of trajectories navigated by other agents. Then, to evaluate the proposed behaviour modelling approach, we propose and compare two methods for agent intention estimation based on: (i) particle filtering; and (ii) decision trees. The proposed methods were validated using three datasets that consist of real-world bicycle and car trajectories in two different scenarios, at a roundabout and at a t-junction with a pedestrian crossing. The results validate the utility of the data-driven behaviour model, and show that decision-tree based intention estimation works better on a binary-class problem, whereas the particle-filter based technique performs better on a multi-class problem, such as the roundabout, where the method yielded an average gain of 14.88 m for correct intention estimation locations compared to the decision-tree based method. © 2018 by the authors

  • Klaus Solberg Søilen
  • Gerson Tontini
  • Ulf Aagerup

The perception of useful information derived from Twitter : A survey of professionalslänk till annan webbplats
In this study we gathered data from 220 professional users of information via a survey. Twitter is perceived as a service for useful information but not for the reason one may expect, not because the content of the tweets give valuable information, but because of what can be derived and extracted from the information that is being tweeted and not tweeted. Professional users are aware that tweets are being manipulated by communication departments so they adjust for this in their understanding of the content that is being delivered. For the same reason “fake news” is not seen as a problem either by professionals. Twitter is seen as valuable alongside other social media software (additional software solutions) and used directly together with other software (integrated software solutions). As a stand-alone service it is found to be of less value to experienced users and there are no signs that Twitter is a valuable tool for learning. 

  • Ulf Aagerup

Accessible luxury fashion brand building via fat discriminationlänk till annan webbplats
Purpose: To investigate if accessible luxury fashion brands discriminate overweight and obese consumers.Design/methodology/approach: The physical sizes of garments are surveyed in-store and compared to the body sizes of the population. A gap analysis is carried out in order to determine whether the supply of clothes match the demand of each market segment.Findings: The surveyed accessible luxury garments come in very small sizes compared to the individuals that make up the population.Research limitations/implications: The survey is limited to London while the corresponding population is British. It is therefore possible that the mismatch between assortments and the population is in part attributable to geographic and demographic factors. The study’s results are however so strikingly clear that even if some of the effect were due to extraneous variables, it would be hard to disregard the poor match between overweight and obese women and the clothes offered to them.Practical implications: For symbolic/expressive brands that are conspicuously consumed, that narrowly target distinct and homogenous groups of people in industries where elitist practices are acceptable, companies can build brands via customer rejection.Social implications: The results highlight ongoing discrimination of overweight and obese fashion consumers.Originality/value: The study is the first to provide quantitative evidence for brand building via customer rejection, and it delineates under which conditions this may occur. This extends the theory of typical user imagery. © Emerald Publishing Limited 2018

  • Ulf Aagerup

Obese models’ effect on fashion brand attractivenesslänk till annan webbplats
Purpose: To investigate the effect of obese models vs. normal weight models on fashion brands’ attractiveness.Design/methodology/approach: An experiment was carried out in which 1,225 university students in Sweden and Brazil rated the attractiveness of a fashion brand worn by a normal weight model and an obese model.Findings: The overall effect of obese models’ effect on fashion brand attractiveness was insignificant. Further, neither culture, nor the consumer’s own weight had a significant effect. There was, however, a significant effect of the participant’s own gender; women rate fashion brands worn by obese models significantly higher on attractiveness than they did fashion brands worn by normal weight models. Men displayed the inverse response.Research limitations/implications: The effect of the model’s ethnicity was beyond the scope of the experiment, and the brand attractiveness scale captured only one aspect of brand character, leaving other potential brand effects for future studies.Practical implications: Companies can use obese models with no overall brand attractiveness penalty across markets and for marketing to women of all sizes. Given men’s negative reactions, such models might however be unsuitable for the male-to-female gift market.Social implications: The results support the use of obese models, which can lead to greater representation of larger women in the media, and consequently, reduced fat stigma.Originality/value: The study validates the theory of user imagery, and it extends the theory by examining how different target consumers react to user imagery traits and thus provides evidence for gender bias towards obese models. © Emerald Publishing Limited 2018

  • Linnea Gustafsson

Strukturella skillnader mellan svenska kvinno- och mansnamn 1915-2016länk till annan webbplats

  • Magnus Holmén
  • Daniel Ljungberg
  • Deycy Sanchez

Evolution of systems of technology transfer in rural developing economieslänk till annan webbplats

Sidan uppdaterad 2014-08-27