Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners

In this paper, we suggest a novel method to aid lifelong learners to access relevant OER based learning content to master skills demanded on the labour market. Our software prototype 1) applies Text Classification and Text Mining methods on vacancy announcements to decompose jobs into meaningful skills components, which lifelong learners should target; and 2) creates a hybrid OER Recommender System to suggest personalized learning content for learners to progress towards their skill targets. For the first evaluation of this prototype we focused on two job areas: Data Scientist, and Mechanical Engineer. We applied our skill extractor approach and provided OER recommendations for learners targeting these jobs. We conducted in-depth, semi-structured interviews with 12 subject matter experts to learn how our prototype performs in terms of its objectives, logic, and contribution to learning. More than 150 recommendations were generated, and 76.9% of these recommendations were treated as useful by the interviewees. Interviews revealed that a personalized OER recommender system, based on skills demanded by labour market, has the potential to improve the learning experience of lifelong learners.Comment: This paper has been accepted to be published in the proceedings of CSEDU 2020 by SciTePres

Applied Research Through Partnership: the Experience of the Yorkshire and Humberside Regional Research Observatory

Paper presented at a seminar on ‘Los Observatorios Regionales de Políticas Públicas como Herramientas de Gestión de Información: Una Aproximación al Estudio del Rendimiento Autonómico, at the Centro de Estudios de Gestión, Análisis y Información, Campus de Somosaguas, La Universidad Complutense, Madrid, 23-24 November, 2000 Ten years ago, a Regional Research Observatory (ReRO) was established to provide ‘clients’ in Yorkshire and Humberside with a single point access to a region-wide data and analysis service. The Observatory’s portfolio covered activities relating to applied research and consultancy, intelligence, education and training, publications and networking. The first part of the paper explains the concept of the Observatory as it was initially conceived as a form of partnership across all the universities in the region, outlines the structure of the organization that was created, explains the arrangements for operating the Observatory as a partnership initiative, and exemplifies the outputs and achievements during the first half of the decade. In order to facilitate its regional monitoring activities, ReRO constructed a Regional Intelligence Centre (RIC), a customised geographical information system in which to store key data sets and generate a range of statistical indicators for the region as a whole or its constituent parts. The second part of the paper explains the structure of the RIC and its contents. It argues that the main advantage that derives from the construction of such a centre is the value that is added to raw information through data handling and integration, through skilled interpretation and through the provision of new information, maybe in the form of forecasts of what is likely to happen in the future, as well as analyses of what has happened in the past. The third and final part of the paper explores some of the key issues and difficulties relating to the operation of the Observatory and considers some of the reasons that have accounted for its loss of momentum in the last few years. This has occurred over a period of increased political attention to regional administration and planning in the UK, exemplified by the creation of Scottish and Welsh Assemblies and the emergence of Regional Development Agencies and Regional Assemblies across England. A retrospective evaluation demonstrates a number of lessons that have been learnt and provides a number of useful guidelines to those attempting to establish similar structures elsewhere in the developed world

Connected Women: How Mobile Can Support Women's Economic and Social Empowerment

This report explores how mobile services provided by Vodafone and the Vodafone Foundation are enabling women to seize new opportunities and improve their lives. Accenture Sustainability Services were commissioned to conduct research on the services and to assess their potential social and economic impact if they were widely available across Vodafone's markets by 2020. It showcases the projects and the work of those involved and also poses the question -- what would the benefit to women and to society at large be if projects such as these were taken to scale and achieved an industrialscale of growth? This reflects the Foundation's commitment not solely to the development of pilots but rather the Trustees' ambition to see projects which lead to transformational change. In order to understand this more deeply, the Report looks at the benefits for women and society and providessome financial modelling for how the engagement of commercial players could achieve industrial, sustainable growth in these areas. Accenture has provided the modelling and, given the public benefit and understanding which the report seeks to generate, these are shared openly for all in the mobile industry to understand and share. It is the Trustees' hope that the collaboration with Oxford University and Accenture in the delivery of this Report will stimulate not only the expansion of existing charitable programmes but will also seed other philanthropic, social enterprise or commercial initiatives

Outsourcing labour to the cloud

Various forms of open sourcing to the online population are establishing themselves as cheap, effective methods of getting work done. These have revolutionised the traditional methods for innovation and have contributed to the enrichment of the concept of 'open innovation'. To date, the literature concerning this emerging topic has been spread across a diverse number of media, disciplines and academic journals. This paper attempts for the first time to survey the emerging phenomenon of open outsourcing of work to the internet using 'cloud computing'. The paper describes the volunteer origins and recent commercialisation of this business service. It then surveys the current platforms, applications and academic literature. Based on this, a generic classification for crowdsourcing tasks and a number of performance metrics are proposed. After discussing strengths and limitations, the paper concludes with an agenda for academic research in this new area

Greenhouse engineering: New technologies and approaches

Firstly, this article discusses the greenhouse engineering situation in three geographic areas which are relevant in the field of protected cultivation: Northern Asia, The Netherlands and the Mediterranean. For each area, the prevailing greenhouse type and equipment is briefly described. Secondly, the main technological constraints are pointed out and finally the research directions are discussed. For all areas under consideration, attempts to design more efficient greenhouse systems are under way. In Northern Asia progress is being made towards the optimisation of greenhouses as a solar collector and to the development of new heating strategies. Important subjects addressed in The Netherlands are energy conservation and the replacement or alleviation of human labour by increasing mechanisation. In the Mediterranean there is growing interest in semi-closed greenhouses with CO2 enrichment and control of excessive humidity. All geographic areas share the need of having an optimised climate control based on the crop response to the greenhouse environment. All areas also share the requirement of being respectful to the environment, therefore future greenhouses are expected to use engineering to produce with minimal or zero emissions

Employability skills: Profiling data scientists in the digital labour market

In the current scenario, data scientists are expected to make sense of vast stores of big data, which are becoming increasingly complex and heterogeneous in nature. In the context of today's rapid technological development and its application in a growing array of fields, this role is evolving simultaneously. The present study provides an insight into the current expectations of employers seeking to hire individuals with this job title. It is argued that gaining a better understanding of data scientists’ employability criteria and the evolution of this professional role is crucial. The focus is placed on the desired prerequisites articulated through job advertisements, thus deriving relevant means for furthering theory and practice. It was achieved by harvesting relevant data from job advertisements published on US employment websites, which currently attract the US market's highest recruitment traffic. The key contribution of this study is to have identified means of systematically mapping skills, experience, and qualifications sought by employers for their data scientists, thus providing a data-driven pathway for employability and avoiding skills gaps and mismatches in a profession that is pivotal in the Industry 4.0

Towards a Theory of Analytical Behaviour: A Model of Decision-Making in Visual Analytics

This paper introduces a descriptive model of the human-computer processes that lead to decision-making in visual analytics. A survey of nine models from the visual analytics and HCI literature are presented to account for different perspectives such as sense-making, reasoning, and low-level human-computer interactions. The survey examines the people and computers (entities) presented in the models, the divisions of labour between entities (both physical and role-based), the behaviour of both people and machines as constrained by their roles and agency, and finally the elements and processes which define the flow of data both within and between entities. The survey informs the identification of four observations that characterise analytical behaviour - defined as decision-making facilitated by visual analytics: bilateral discourse, divisions of labour, mixed-synchronicity information flows, and bounded behaviour. Based on these principles, a descriptive model is presented as a contribution towards a theory of analytical behaviour. The future intention is to apply prospect theory, a economic model of decision-making under uncertainty, to the study of analytical behaviour. It is our assertion that to apply prospect theory first requires a descriptive model of the processes that facilitate decision-making in visual analytics. We conclude it necessary to measure the perception of risk in future work in order to apply prospect theory to the study of analytical behaviour using our proposed model

Sensemaking and lens-shaping : Identifying citizen contributions to foresight through comparative topic modelling

As foresight activities continue to increase across multiple arenas and types of organizations, the need to develop effective modes of reviewing future-oriented information against long-term goals and policies becomes more pressing. The activities of institutional sensemaking are vital in constructing potential and desired futures, but remain sensitive to organizational culture and ethos, thus raising concerns about whose futures are being constructed. In viewing foresight studies as a critical component in such sensemaking, this research investigates a method of textual analysis that deploys natural language processing algorithms (NLP). In this research, we introduce and apply the methodology of topic modelling for conducting a comparative analysis to explore how citizen-derived foresight differs from other institutional foresight. Finally we present pros-pects for further employing NLP for strategic foresight and futures studies.Peer reviewe