The role of mentoring in facilitating the process of repurposing OER

This paper presents the initial data analysis of a research that is work in progress. It discusses the role of mentoring and peer support in facilitating the process of repurposing open educational resources (OER). It also reports on the lessons so far learned from the analysis of two distinct but related case studies on working with learners to use and disseminate OER. The first case study is based on the 2009 presentation of the distance learning Masters’ course of the Institute of Educational Technology of the Open University UK (from now on OU) entitled “Technology Enhanced Learning: Practices and Debates”. In this course the registered students were guided through the repurposing of content within the OER repository of the OU, OpenLearn, as part of their course activities. The aim was to provide the students with substantial information about and knowledge of finding, using and repurposing OER. The second case study relates to the activities of the online community COLEARN, an initiative of the Knowledge Media Institute of the OU which started in 2006. COLEARN is an online community hosted within the OpenLearn platform, bringing together researchers and practitioners from Brazil, Portugal and Spain mostly. The aim of COLEARN is to offer a community-supported environment in which research and ideas about the use of collaborative technologies for learning can be shared. All the activities in COLEARN are available to the world as OER, as well as all the resources shared the by participants. Mentoring in these two cases happen in different ways. In the first case we term it ‘formal mentoring’ because the mentoring is part of the course activities of registered students in the course. The students are guided step by step on how to find OER, assess its relevance and how to make use of web 2.0 technologies to modify the content to fit specific purposes. In particular, they are prompted to use an in situ editing tool offered by OpenLearn to modify and re-publish content. The mentoring in this case is offered through the task design of the course material and through the tutoring available. In the case of COLEARN, the mentoring process happens through peer and tutor support from the community to the community. This is why we term it ‘informal mentoring’, although at a times the user performing the mentor’s role is a tutor of another learning setting (e.g. a tutor associated with a higher education institution). By means of pre-booked learning sessions (e.g. brainstorming sessions based on a web-videoconference tool such as Flashmeeting ), workshops and discussion forums the participants of this community get substantial support and guidance on how to use OER and technologies that facilitate OER repurposing. By analysing the activities of the mentors and participants in the two case studies, we aim to explore how both forms of mentoring seem to address the needs of the practitioners/students in terms of learning how to work with OER

Green BPM as a business-oriented discipline : a systematic mapping study and research agenda

Green Business Process Management (BPM) focuses on the ecological impact of business processes. This article provides a systematic mapping study of Green BPM literature to evaluate five attributes of the Green BPM research area: (1) scope, (2) disciplines, (3) accountability, (4) researchers and (5) quality control. The results allow developing a research agenda to enhance Green BPM as an approach for environmentally sustainable organizations. We rely on a dichotomy of knowledge production to present research directives relevant for both academics and practitioners in order to help close a rigor-relevance gap. The involvement of both communities is crucial for Green BPM to advance as an applied, business-oriented discipline

Identifying Agile Requirements Engineering Patterns in Industry

Agile Software Development (ASD) is gaining in popularity in today´s business world. Industry is adopting agile methodologies both to accelerate value delivery and to enhance the ability to deal with changing requirements. However, ASD has a great impact on how Requirements Engineering (RE) is carried out in agile environments. The integration of Human-Centered Design (HCD) plays an important role due to the focus on user and stakeholder involvement. To this end, we aim to introduce agile RE patterns as main objective of this paper. On the one hand, we will describe our pattern mining process based on empirical research in literature and industry. On the other hand, we will discuss our results and provide two examples of agile RE patterns. In sum, the pattern mining process identifies 41 agile RE patterns. The accumulated knowledge will be shared by means of a web application.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2016-76956-C3-2-RMinisterio de Economía y Competitividad TIN2015-71938-RED

Evaluating musical software using conceptual metaphors

An open challenge for interaction designers is to find ways of designing software to enhance the ability of novices to perform tasks that normally require specialized domain expertise. This challenge is particularly demanding in areas such as music analysis, where complex, abstract, domain-specific concepts and notations occur. One promising theoretical foundation for this work involves the identification of conceptual metaphors and image schemas, found by analyzing discourse. This kind of analysis has already been applied, with some success, both to musical concepts and, separately, to user interface design. The present work appears to be the first to combine these hitherto distinct bodies of research, with the aim of devising a general method for improving user interfaces for music. Some areas where this may require extensions to existing method are noted. This paper presents the results of an exploratory evaluation of Harmony Space, a tool for playing, analysing and learning about harmony. The evaluation uses conceptual metaphors and image schemas elicited from the dialogues of experienced musicians discussing the harmonic progressions in a piece of music. Examples of where the user interface supports the conceptual metaphors, and where support could be improved, are discussed. The potential use of audio output to support conceptual metaphors and image schemas is considered

Automatically detecting open academic review praise and criticism

This is an accepted manuscript of an article published by Emerald in Online Information Review on 15 June 2020. The accepted version of the publication may differ from the final published version, accessible at https://doi.org/10.1108/OIR-11-2019-0347.Purpose: Peer reviewer evaluations of academic papers are known to be variable in content and overall judgements but are important academic publishing safeguards. This article introduces a sentiment analysis program, PeerJudge, to detect praise and criticism in peer evaluations. It is designed to support editorial management decisions and reviewers in the scholarly publishing process and for grant funding decision workflows. The initial version of PeerJudge is tailored for reviews from F1000Research’s open peer review publishing platform. Design/methodology/approach: PeerJudge uses a lexical sentiment analysis approach with a human-coded initial sentiment lexicon and machine learning adjustments and additions. It was built with an F1000Research development corpus and evaluated on a different F1000Research test corpus using reviewer ratings. Findings: PeerJudge can predict F1000Research judgements from negative evaluations in reviewers’ comments more accurately than baseline approaches, although not from positive reviewer comments, which seem to be largely unrelated to reviewer decisions. Within the F1000Research mode of post-publication peer review, the absence of any detected negative comments is a reliable indicator that an article will be ‘approved’, but the presence of moderately negative comments could lead to either an approved or approved with reservations decision. Originality/value: PeerJudge is the first transparent AI approach to peer review sentiment detection. It may be used to identify anomalous reviews with text potentially not matching judgements for individual checks or systematic bias assessments

Resource Letter: Gravitational Lensing

This Resource Letter provides a guide to a selection of the literature on gravitational lensing and its applications. Journal articles, books, popular articles, and websites are cited for the following topics: foundations of gravitational lensing, foundations of cosmology, history of gravitational lensing, strong lensing, weak lensing, and microlensing.Comment: Resource Letter, 2012, in press (http://ajp.dickinson.edu/Readers/resLetters.html); 21 pages, no figures; diigo version available at http://groups.diigo.com/group/gravitational-lensin

Scoping studies: towards a methodological framework

This paper focuses on scoping studies, an approach to reviewing the literature which to date has received little attention in the research methods literature. We distinguish between different types of scoping studies and indicate where these stand in relation to full systematic reviews. We outline a framework for conducting a scoping study based on our recent experiences of reviewing the literature on services for carers for people with mental health problems. Where appropriate, our approach to scoping the field is contrasted with the procedures followed in systematic reviews. We emphasize how including a consultation exercise in this sort of study may enhance the results, making them more useful to policy makers, practitioners and service users. Finally, we consider the advantages and limitations of the approach and suggest that a wider debate is called for about the role of the scoping study in relation to other types of literature reviews

Multicriteria mapping manual: version 1.0

This Manual offers basic advice on how to do multicriteria mapping (MCM). It suggests how to: go about designing and building a typical MCM project; engage with participants and analyse results – and get the most out of the online MCM tool. Key terms are shown in bold italics and defined and explained in a final Annex. The online MCM software tool provides its own operational help. So this Manual is more focused on the general approach. There are no rigid rules. MCM is structured, but very flexible. It allows many more detailed features than can be covered here. MCM users are encouraged to think for themselves and be responsible and creative