Modeling economic systems as locally-constructive sequential games

Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling approach, Agent-based Computational Economics, that permits researchers to study economic systems from this point of view. ACE modeling principles and objectives are first concisely presented and explained. The remainder of the paper then highlights challenging issues and edgier explorations that ACE researchers are currently pursuing

Using Gamification to Motivate Students with Dyslexia

The concept of gamification is receiving increasing attention, particularly for its potential to motivate students. However, to date the majority of studies in the context of education have predominantly focused on University students. This paper explores how gamification could potentially benefit a specific student population, children with dyslexia who are transitioning from primary to secondary school. Two teachers from specialist dyslexia teaching centres used classDojo, a gamification platform, during their teaching sessions for one term. We detail how the teachers appropriated the platform in different ways and how the students discussed classDojo in terms of motivation. These findings have subsequently informed a set of provisional implications for gamification distilling opportunities for future pedagogical uses, gamification design for special education and methodological approaches to how gamification is studied

Creating personas for political and social consciousness in HCI design

Personas have become an important tool for Human-Computer Interaction professionals. However, they are not immune to limitations and critique, including stereotyping. We suggest that while some of the criticisms to personas are important, the use of personas is open to them in part because of an unquestioned focus on explicating user needs and goals in traditional persona research and creation. This focus, while helping designers, obscures some other potentially relevant aspects. In particular, when the goal of the product or software being designed is associated with social and political goals rather than with bringing a product to the market, it may be relevant to focus personas on political aspirations, social values and the will or capacity of personas to take action. We argue that it is possible when producing personas (and associated scenarios) to partially move away from representing needs and embrace personas which more explicitly represent political or social beliefs and values. We also suggest that a phenomenographic approach to user data analysis is one way to achieve this. We provide empirical evidence for our position from two large-scale European projects, the first one in the area of Social Innovation and the second in the area of eParticipation

Effective Affective User Interface Design in Games

It is proposed that games, which are designed to generate positive affect, are most successful when they facilitate flow (Csikszentmihalyi 1992). Flow is a state of concentration, deep enjoyment, and total absorption in an activity. The study of games, and a resulting understanding of flow in games can inform the design of nonleisure software for positive affect. The paper considers the ways in which computer games contravene Nielsen’s guidelines for heuristic evaluation (Nielsen and Molich 1990) and how these contraventions impact on flow. The paper also explores the implications for research that stem from the differences between games played on a personal computer and games played on a dedicated console. This research takes important initial steps towards defining how flow in computer games can inform affective design

What influences the speed of prototyping? An empirical investigation of twenty software startups

It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds, firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startups progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototypingComment: This is the author's version of the work. Copyright owner's version can be accessed at doi.org/10.1007/978-3-319-57633-6_2, XP2017, Cologne, German

The learning portfolio in higher education: an integrative review

The learning portfolio is often lauded as a powerful pedagogical tool, and consequently, is rapidly becoming a central feature of contemporary education. This paper synthesizes and critically reviews the literature pertaining to its use in higher education contexts specifically. Three key themes are identified and discussed. First, although the theory underlying the use of learning portfolios is promising, robust empirical evidence supporting their effectiveness remains sparse. Second, the tool is rooted in a complex pedagogy, and its potential can only be realized if the processes underlying this pedagogy are properly understood by advocates and executed by users. Third, there is a recurring tension between the developmental (process) and evaluative (product) conceptualizations of the learning portfolio. On the basis of these findings, some recommendations for future research and practice in this area are identified

Quality-aware model-driven service engineering

Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Quality aspects ranging from interoperability to maintainability to performance are of central importance for the integration of heterogeneous, distributed service-based systems. Architecture models can substantially influence quality attributes of the implemented software systems. Besides the benefits of explicit architectures on maintainability and reuse, architectural constraints such as styles, reference architectures and architectural patterns can influence observable software properties such as performance. Empirical performance evaluation is a process of measuring and evaluating the performance of implemented software. We present an approach for addressing the quality of services and service-based systems at the model-level in the context of model-driven service engineering. The focus on architecture-level models is a consequence of the black-box character of services