The patterning of finance/security : a designerly walkthrough of challenger banking apps

Culture is being ‘appified’. Diverse, pre-existing everyday activities are being redesigned so they happen with and through apps. While apps are often encountered as equivalent icons in apps stores or digital devices, the processes of appification – that is, the actions required to turn something into an app – vary significantly. In this article, we offer a comparative analysis of a number of ‘challenger’ banking apps in the United Kingdom. As a retail service, banking is highly regulated and banks must take steps to identify and verify their customers before entering a retail relationship. Once established, this ‘secured’ financial identity underpins a lot of everyday economic activity. Adopting the method of the walkthrough analysis, we study the specific ways these processes of identifying and verifying the identity of the customer (now the user) occur through user onboarding. We argue that banking apps provide a unique way of binding the user to an identity, one that combines the affordances of smart phones with the techniques, knowledge and patterns of user experience design. With the appification of banking, we see new processes of security folded into the everyday experience of apps. Our analysis shows how these binding identities are achieved through what we refer to as the patterning of finance/security. This patterning is significant, moreover, given its availability for wider circulation beyond the context of retail banking apps

Inside the Black Box of Dictionary Building for Text Analytics: A Design Science Approach

The purpose of this paper is to develop and demonstrate a dictionary building process model for text analytics projects following the design science methodology. Using inductive consensus-building, we examined prior research to develop an initial process model. The model is subsequently demonstrated and validated by using data to develop an environmental sustainability dictionary for the IT industry. To our knowledge, this is an initial attempt to provide a normalized dictionary building process for text analytics projects. The resulting process model can provide a road map for researchers who want to use automated approaches to text analysis but are currently prevented by the lack of applicable domain dictionaries. Having a normalized design process model will assist researchers by legitimizing their work requiring dictionary building and help academic reviewers by providing an evaluation framework. The resulting environmental sustainability dictionary for IT industry can be used as a starting point for future research on Green IT and sustainability management

Rethinking Assessment: Information Literacy Instruction and the ACRL Framework

Most information literacy instruction (ILI) done in academic libraries today is based on the ACRL’s Information Literacy Competency Standards for Higher Education, but with the replacement of these standards by the new Framework for Information Literacy for Higher Education, there is a need to re-evaluate current teaching strategies and instructional techniques so that they can better serve the Framework’s goals. This paper explores current trends in ILI instruction and in the area of assessment in particular, since ILI assessment provides an opportunity not only to evaluate teaching effectiveness but also to reinforce the learning goals of the new Framework itself. It proposes several ways that assessment strategies can be aligned with the goals of the Framework by using guided group discussion, online discussion platforms, and social media platforms, and proposes further avenues for research in the evaluation of such strategies

Achieving Success in Community Crowdsourcing: Lessons from the Field

Community crowdsourcing is a relatively new phenomenon where local institutions, such as cities and neighborhoods, invite citizens to engage in a public discussion and solve problems that directly affect them. While community crowdsourcing has been around for over a decade, relatively little is known about what drives the success of these initiatives. In this exploratory study, we analyze field data from over 1,000 community crowdsourcing projects that were hosted on a professional community crowdsourcing platform. Our exploration reveals interesting insights into characteristics of community crowdsourcing projects that are associated with higher levels of user engagement. These insights allow us to speculate on guidelines to organize and execute community crowdsourcing initiatives

Report on the Information Retrieval Festival (IRFest2017)

The Information Retrieval Festival took place in April 2017 in Glasgow. The focus of the workshop was to bring together IR researchers from the various Scottish universities and beyond in order to facilitate more awareness, increased interaction and reflection on the status of the field and its future. The program included an industry session, research talks, demos and posters as well as two keynotes. The first keynote was delivered by Prof. Jaana Kekalenien, who provided a historical, critical reflection of realism in Interactive Information Retrieval Experimentation, while the second keynote was delivered by Prof. Maarten de Rijke, who argued for more Artificial Intelligence usage in IR solutions and deployments. The workshop was followed by a "Tour de Scotland" where delegates were taken from Glasgow to Aberdeen for the European Conference in Information Retrieval (ECIR 2017

A reference model for artificial intelligence techniques in stimulating reasoning, and cognitive and motor development

Artificial Intelligence is increasingly being discussed as something essential and pressing in all aspects and areas of society. Its potential use in education is no exception. Artificial Intelligence, in particular, and technologies, in general, are unavoidable elements to be considered in the teaching-learning process at all levels of education and training. There are many initiatives, essentially exploratory in nature, for the application of Artificial Intelligence in this process. Therefore, it is imperative to understand how they can be used for this purpose and how they relate to pedagogical methods. In the present study, and within this context, we address how Artificial Intelligence can be used in software to support cognitive and motor development and stimulate reasoning. We propose a reference model for techniques for this purpose. Concrete cases of existing applications are presented to better illustrate the potential of Artificial Intelligence in education.info:eu-repo/semantics/publishedVersio