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The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

This paper provides an account of the topological and its description of contemporary culture and use as a research methodology, a topological lens, generally, and in education research specifically. Some commentary is proffered on the relationships between the topological and the topographical, between relations and locations. A critical account is then provided on each of the papers in the special issue on the topological in education research and the specific contributions of each. The editors of the special issue make the important point that the topological is a spatio-temporal phenomenon, not just a spatial one. The topological does not exist in time and space, but rather constructs both and they change in a conjoint manner. As such, a topological lens rejects a construction of space as static and of time (and the temporal) as simply linear and chronological. The topological has been facilitated and articulated by and through practices of commensuration, datafication and digitalisation, flows and scapes, global connectivities and new relations, mobilities of various kinds and multiple networks. The paper argues that much greater emphasis has been given to the spatial in topological research; that is, there has been some neglect of the temporal in the spatio-temporal character of topologies.

This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team -- SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting the RAPID Outcome Mapping Approach (ROMA), which is designed to develop effective strategies and evidence-based policy in complex environments. This paper presents four case studies to illustrate the development process of the SHEILA framework and how it can be used iteratively to inform strategic planning and policy processes in real world environments, particularly for large-scale implementation in higher education contexts. To this end, the selected cases were analyzed at two stages, each a year apart, to investigate the progression of adoption approaches that were followed to solve existing challenges, and identify new challenges that could be addressed by following the SHEILA framework.

Qualitative data analysis has been criticised for a lack of credibility over recent years when vagueness has been afforded to the reporting of how findings are attained. In response, there has been a growing body of literature emphasising a need to detail methods of qualitative data analysis. This paper adds to this body of knowledge by presenting a reflexive narrative review of the development of a modified version of the 'phenomenological hermeneutical method for interpreting interview texts'. This modification permits greater transparency when dealing with data that relates to multiple contexts. A visual model to represent this modified approach is also presented. Additionally, an exploration of the underpinning theoretical basis to this data analysis method, and modification, is provided. Accordingly, this paper demonstrates this modified qualitative data analysis method ensures that subjective relativistic origins and contexts of interpretations are identifiable, whilst permitting full objectification of the text.

Much care has been paid to reflexivity, including considering emotional sensitivities?in relation to face-to-face interviews. However, less attention has been paid to the impact of sensitivities on the process of data?analysis and the presentation of research findings. This paper focuses on?what constitutes 'the data' to be analysed, who analyses and interprets the data, what is silenced and what is made public, and what?this might mean for feminist research practice in areas considered to be 'sensitive'. It examines these issues by focusing on research on abortion decision-making in which the views?and emotions?of the researcher were profoundly challenged by women's constructions of narratives containing a theme?of?abortion regret. The paper demonstrates how theoretical perspectives -- in this case, feminist standpoint theory -- can be used in sensitive research, to allow the researcher to resolve such tensions?by providing a means through which greater attention can be paid to the context of participants' narratives.

For those receiving funding from the UK HEFCE-funded Open Educational Resource Programme (2009-2012), the sustainability of project outputs was one of a number of essential goals. Our approach for the hosting and distribution of health and life science open educational resources (OER) was based on the utilisation of the WordPress.org blogging platform and search engine optimisation (SEO) techniques to curate content and widen discovery. This paper outlines the approaches taken and tools used at the time, and reflects upon the effectiveness of web strategies several years post-funding. The paper concludes that using WordPress.org as a platform for sharing and curating OER, and the adoption of a pragmatic approach to SEO, offers cheap and simple ways for small-scale open education projects to be effective and sustainable.

This paper discusses ethical issues surrounding Netnography, an innovative methodology, relatively unusual in Education research. It explores the ethical approach developed for a study of UK mother perspectives on primary school homework found on open-access parenting websites, reviewing issues considered at the project's outset and examining researcher decisions around the ethical stance. Using the concept of 'negotiated ethics', ethical obstacles were deliberated, to develop an appropriate ethical position and procedure which answered challenging issues arising from the methodology, research aims and particular field. Building on an existing proposition that the internet is a hybrid of space and text, the paper reveals how this conceptualisation, accompanied by an understanding of contributors to forum interaction as a type of participant-publisher, was a prerequisite for establishing the ethical grounds. The paper recommends tailoring ethics procedures to the nuanced contexts of individual online projects, their methodologies, topics and fields.

This paper proposes the method of 'narrative portraiture', which, located within the wider field of narrative studies, offers an analytical tool to narrative data. Two research projects, one on disability and one on identity, are used to illustrate how the method can be applied. While the paper will focus on the methodological benefits and limitations of the approach, throughout the article we also highlight the ethical concern of representation. We suggest that through 'narrative portraiture' research findings can be contextualised in broader social narratives without losing sight of the unique personal qualities of the research encounter. Thus, we argue for the importance of bringing the participant and their everyday life experience into focus, highlighting that a portrayal of a sole story can be, not only a medium to understand a research phenomenon, but also a valuable research output in itself.

In this paper we make a case for 'Little Data', which is real-time, self-collected, idiosyncratic datasets maintained by individuals about themselves on myriad topics. We develop and offer a methodology for combining these messy, highly personal insights, to make deductive observations about collective practices. In testing this approach, we use the case study of the 2020-21 stay-at-home orders imposed in the U.S.A., U.K., and Western Europe during the Coronavirus pandemic to operationalise and demonstrate the applicability of this method. Our main finding is to show that whilst stay-at-home orders did have a significant impact on habits during the COVID-19 pandemic, these changes were often counterintuitive, of an insightful nature on topics that would otherwise not be investigated, and always short-lived. Our main contribution is to present Little Data, despite and because of its fragmented and disparate nature, as a viable and useful tool to understand personal habits at finite junctures.

This paper considers the adoption of computational techniques within research designs modeled after the extended case method. Echoing calls to augment the power of contemporary researchers through the adoption of computational text analysis methods, we offer a framework for thinking about how such techniques can be integrated into quasi-ethnographic workflows to address broad, structural sociological claims. We focus, in particular, on how this adoption of novel forms of evidence impacts corpus design and interpretation (which we tie to matters of casing), theoretical elaboration (which we associate to moving empirical claims across scales and empirical domains), and verification (which we see as a process of reflexive scaffolding of theoretical claims). We provide an example of the use of this framework through a study of the marketization of social scientific knowledge in the United Kingdom.

This paper presents the findings of a mixed methods study conducted in the context of Higher Education Institutions (HEIs). More specifically, it focuses on the staff development needs of tutors who teach in blended and online environments, the ways HEIs in the United Kingdom (UK) address these needs and institutional issues around the deployment and support of Technology Enhanced Learning (TEL) by campus-based institutions. The informants in both phases of this research were the heads of e-learning in various UK HEIs. Using an online questionnaire, quantitative data were gathered on the various ways that the staff development needs of the lecturers in blended and online learning have been addressed by UK HEIs. During the second phase of this research, eight semi-structured interviews were conducted. The findings from both phases are integrated in the results section of the paper.

This article attempts to highlight quantitatively the growth and development of world literature on hemophilia in terms of publications output as per SCOPUS database (2003-2017). During 2003-2017 a total of 13503 papers were published by the scientists in the field of hemophilia. The average number of publications published per year was 900. The highest number of publications 1095 was published in 2012. Out of 13503 contributions, only 18.48% (2495 papers) of single authored and rest of 11008 papers (81.52%) were multi authored. The study identifies active institutions and country-wise distributions of hemophilia research output. The yearly analysis of data shows that there is a rapid growth of literature from 2011 onwards. There were 126 countries involved in the research in this field. USA is the top producing country with 3986 authorships (29.52%) followed by United Kingdom with 1438 authorships (10.65%). Still, in an international sense, relative productivity of India is low and requires more focused research and development. [ABSTRACT FROM AUTHOR]

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLA. This paper presents an "at scale" implementation of PLA at a distance learning higher education institution and details, in particular, the perspectives of 20 educational managers involved in the implementation. It concludes with a set of recommendations about how best to adopt and apply large-scale PLA initiatives in higher education.

Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date, available research suggests that LA could provide valuable insights into task design for instructors and materials designers, as well as help students with effective learning strategies and personalised learning pathways. This paper first discusses previous CALL research based on learner tracking and specific affordances of LA for CALL, as well as its inherent limitations and challenges. The second part of the paper analyses data arising from the VITAL project that implemented LA in different blended or distance learning settings. Statistical and process-mining techniques were applied to data from 285 undergraduate students on a Business French course. Results suggested that most students planned their self-study sessions in accordance with the flipped classroom design. Other metrics measuring active online engagement indicated significant differences between successful and non-successful students' learner patterns. The research implied that valuable insights can be acquired through LA and the use of visualisation and process-mining tools.

In 2001, the Institute of Education (now the UCL Institute of Education (UCL IOE)) became one of only three internationally accredited centres for the training of Reading Recovery trainers. To achieve accreditation, the training programme was required by the International Reading Recovery Trainers Organization to be linked to the IOE doctor of education (EdD). Specifically, apprentice trainers were required to complete a minimum of Year 2 of the EdD programme (the Institution-Focused Study) successfully, as a gateway to achieving their professional qualification. The IOE EdD allowed for a unique apprenticeship model that combined academic study and research at doctoral level together with practical experiences. This paper presents a case study of the apprenticeship model as viewed by professionals who have undergone the experience. Findings suggest similarities to previous reports on professional doctorates, but also suggest a bridge and transition from apprentice to an apprentice who is also a mentor. A range of tensions are also suggested, some of which have been described by previous authors, but also others that have not previously been reported. Apprentice trainers reported feeling like 'weird fish' in that although their apprenticeship model was part of the EdD, it did not 'fit' with experiences the rest of their cohorts received. Nevertheless, there was a sense of preparedness for participants' new, complex professional roles. Implications of findings for linking the EdD to specific professional roles are also discussed.

Statistics is one of the important branches of mathematics taught in schools, colleges and universities. It is also an important tool in public policy discussions. This paper focuses on the use of statistics in the latter context, rather than its use in adult mathematics education research. I review the key characteristics of the statistical approach to constructing public knowledge, and give a very brief history of key points in its development. I discuss how what I call the "overt crisis of statistics," the apparent disenchantment of large sections of the public with the "expert" statistical methods, outputs and pronouncements, leads to dilemmas both for citizens and for democratic governments. Recently "Big Data" and data analytics seem to many to offer new solutions to problems resulting from the essential lack of certainty surrounding efforts to understand society, and from the need to make quick decisions in a rapidly changing world. These approaches have potential, but also limitations. This leads me to consider a second, "covert" crisis of statistics, resulting from a struggle between proponents of freely available public information and public argument, and those aiming to profit from the appropriation and sequestering of information for private ends. I finish by considering what can be done by ourselves, as citizens, as adult mathematics teachers, and as researchers.

Background: Liver disease is an increasing cause of morbidity and mortality in the United Kingdom and can be challenging to live with in the advanced stages. There has been little research exploring the healthcare experiences of UK individuals with decompensated disease when the liver cannot carry out its functions properly. A PhD research project was developed with people who have liver disease to explore care experiences in decompensated advanced liver disease. Public involvement (PI) is an essential aspect of meaningful health research, and this paper reports on the progression of our PI approach in this ongoing study. Objective: To embed PI throughout the research project to ensure that the study is meaningful to individuals with liver disease and the people who support them. Methods: The research adopts a Constructivist Grounded Theory methodology to develop a theory of care experience. Various PI approaches were considered in developing the PI strategy for this qualitative study. Initially, Embedded consultation was the preferred model, which has evolved to include aspects of collaboration and coproduction. A PI group was set up to oversee the project through the national public engagement website VOICE, and reflections on PI from three members of the group are included in this paper to illuminate the PI process. Results: Six individuals with liver disease and three carers from across the United Kingdom are part of an ongoing PI group. Their role includes commenting on the findings of the systematic literature review for this project and contributing to decisions about recruitment, data collection and data analysis. Additionally, they had a direct impact on changing the focus of the research. The PI group will continue involvement until the completion of the project. Conclusion: Successfully embedding PI into doctoral research, as demonstrated in this project, requires commitment, planning and dedication to reciprocal working for the benefit of PI contributors as well as the research. This approach could be adopted by other postgraduate researchers. Patient or Public Contribution: This project is overseen by the PI group, whose contribution is described throughout, including reflections from three PI group members. [ABSTRACT FROM AUTHOR]

Randomised control trials (RCTs) are an evidence-based research approach which has not yet been adopted and widely used in open and distance education to inform educational policy and practice. Despite the challenges entailed in their application, RCTs hold the power to robustly evaluate the effects of educational interventions in distance learning and conclude on whether (or not) these interventions should be adopted and used extensively. The aim of this paper is to spark discussions around the use of RCTs in distance learning by illustrating their benefits and drawbacks including challenges in adopting RCTs in education. To achieve this aim, a RCT was implemented to examine whether a small-scale intervention in four language modules could improve attendance at an end-of-module speaking assessment, and in consequence, performance, completion and pass rates. Results raise the need for further research in order to identify what type of interventions should be designed and put into practice to elicit a positive impact on learners. The paper concludes with a discussion on why RCTs should be brought to the forefront as a viable method for the effective evaluation of the impact of open learning analytic interventions.

There are growing expectations on schools to promote health and physical activity and helping schools to effectively do so is considered a priority. This paper reports on selected findings from a research project that was concerned with supporting secondary schools in the effective promotion of physical activity and establishing their needs in this regard. Specifically, the paper explores secondary school teachers' experiences of and perspectives on promoting physical activity. The study involved an online survey with secondary schools across the United Kingdom, plus interviews with teachers from eight schools from different regions in England. The findings highlighted a number of issues concerning the promotion of healthy, active lifestyles generally, many of which seem to be long-standing. For example, issues associated with the status and place of health, the amount and nature of the training and support provided or accessed by teachers in the area, and schools' effectiveness in promoting and engaging all pupils in healthy, active lifestyles were identified. These findings led to questions regarding the extent to which teachers are adequately and appropriately equipped to effectively promote physical activity and to recommendations to improve the support for and practice of schools in this area.

Objective: Qualitative research is increasingly valued as part of the evidence for policy and practice, but how it should be appraised is contested. Various appraisal methods, including checklists and other structured approaches, have been proposed but rarely evaluated. We aimed to compare three methods for appraising qualitative research papers that were candidates for inclusion in a systematic review of evidence on support for breast-feeding. Method: A sample of 12 research papers on support for breast-feeding was appraised by six qualitative reviewers using three appraisal methods: unprompted judgement, based on expert opinion; a UK Cabinet Office quality framework; and CASP, a Critical Appraisal Skills Programme tool. Papers were assigned, following appraisals, to 1 of 5 categories, which were dichotomized to indicate whether or not papers should be included in a systematic review. Patterns of agreement in categorization of papers were assessed quantitatively using κ statistics, and qualitatively using cross-case analysis. Results: Agreement in categorizing papers across the three methods was slight (κ =0.13; 95% CI 0.06–0.24). Structured approaches did not appear to yield higher agreement than that by unprompted judgement. Qualitative analysis revealed reviewers' dilemmas in deciding between the potential impact of findings and the quality of the research execution or reporting practice. Structured instruments appeared to make reviewers more explicit about the reasons for their judgements. Conclusions: Structured approaches may not produce greater consistency of judgements about whether to include qualitative papers in a systematic review. Future research should address how appraisals of qualitative research should be incorporated in systematic reviews. [ABSTRACT FROM AUTHOR]

This paper draws on an ESRC-funded study of play and creativity in preschool-aged children's use of apps in the UK. The main objectives of the study were to collect information about access to and use of apps in the home, establish the most popular apps and identify the features of those apps that are successful in promoting play and creativity. A mixed-method approach was used to collect data, including video filming of children using the most popular apps. In identifying play types that emerged in the analysis of data, the team utilised an established taxonomy, which outlines sixteen play types. This taxonomy was reviewed and adapted to analyse data from the project relating to digital play. Through this process, an additional type of play, transgressive play, was identified and added to the taxonomy. The paper outlines the implications of the revised taxonomy for future studies of play.

The UK government's Green Paper, "Fulfilling Our Potential: Teaching Excellence, Social Mobility and Student Choice", presents both significant challenges and opportunities for universities. Whilst the quantitative element of the proposed Teaching Excellence Framework (TEF), underpinned by Big Data, offers the tantalizing opportunity to measure, collate and compare data efficiently between all universities, it also presents a number of significant risks in the form of institutional decision-making, the skewing of behaviours, and potential homogenisation of provision across the sector. As such, this paper asserts that it is vital that the qualitative element of the TEF is implemented diligently and effectively so as to encourage universities to develop clear internal and external narratives that clearly outline the importance of education to their respective institutional missions. Whilst Big Data may prove informative, it requires context in order to be truly useful. Therefore, the task ahead for both the government and universities is far from straightforward.

As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing. This paper is situated within the complex interplay of policy incentives and governance mechanisms that appear to be resulting in the rising bifurcation and precariousness of academic careers and identities. In this context, drawing on a pilot study of 'third space' academic identities, and the methodology that combines work diaries and narrative interviews, it discusses the use(fulness) of (inter)action-, positionality-, and affect-driven methods in studying the academic identity construction. It argues that diverse methods that go beyond the usual interview- and questionnaire-based approaches are needed to better understand and support the existing and emergent academic practices and communities.

This paper examines the entrepreneurial inclinations of young people who achieved excellence in vocational occupations. We propose a three-capital approach to the study of entrepreneurship. Relying on the existing theories and original qualitative and quantitative data analyses, findings from interviews with 30 entrepreneurial and 10 non-entrepreneurial WorldSkills competitors show that psychological capital, social capital and human capital can be combined to explore how young people who excel in vocational occupations develop entrepreneurial mindsets. We show that training for and participation in the largest vocational skills event globally--WorldSkills competition--develops selected aspects of three capitals. However, we also discover that the entrepreneurial motivation precedes competitors' involvement with WorldSkills.

Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of a Code of Practice for Learning Analytics. The Code covers the main issues institutions need to address in order to progress ethically and legally. This paper outlines the extensive research and consultation activities carried out to produce a document that covers the concerns of institutions and, critically, the students they serve. The resulting model for developing a code of practice includes a literature review, setting up appropriate governance structures, developing a taxonomy of the issues, drafting the code, consulting widely with stakeholders, as well as publication, dissemination, and embedding it in institutions.

Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial drivers of current large-scale technological efforts to collect and analyse student data in UK HE. The result is an expanding data infrastructure which includes large-scale and longitudinal datasets, learning analytics services, student apps, data dashboards and digital learning platforms powered by artificial intelligence (AI). Education data scientists have built positive pedagogic cases for student data analysis, learning analytics and AI. The politicization and commercialization of the wider HE data infrastructure is translating them into performance metrics in an increasingly market-driven sector, raising the need for policy frameworks for ethical, pedagogically valuable uses of student data in HE.

This paper reflects on research carried out with a group of women receiving intensive family support aimed at addressing the cause of their family's 'anti-social behaviour'. The methodological approach to the research was underpinned by the philosophical principles of critical realism. It was also informed by the ethical and political concerns of feminist scholarship. The paper reports on the potential points of tension that arise between feminism and critical realism in empirical research. In particular, attention is centred on the process of trying to marry approaches which stress the central role of participants' knowledge, particularly those who are 'labelled' and whose voices are not readily heard, with the principle that some accounts of 'reality' are better than others.

This paper considers the role and development of meaningful dialogue in digitally mediated learning (DML) in UK higher education for teachers. It argues that more research is vital in the field of meaningful dialogue if we are to avoid the risk that pedagogic values in DML become increasingly driven by market forces toward "data vending" without sufficient contextualisation of learning as social practice. Three data collection sources are interpreted. The first is the narrativised experiences of a DML development team transforming an MA Education award; the second is some key reflections on the experiences of MA participants on a newly transformed DML module and the third is a brief analysis of student results and evaluations. The key focus for the paper is how important and challenging it can be to nurture a dialogic academic community online that clearly supports and nurtures the professional development of teachers across the education sector. Using a methodological approach incorporating Ulrich's notion of "reflective competence", the paper considers the pitfalls of transforming face-to-face modules into DML, arguing that both staff and participant preparation for DML must be at the forefront of such transformations. The paper concludes with a consideration of the vital role in DML of pedagogies which promote emotional engagement and "kindness".

Purpose: The purpose of this paper is to study the general trends in the area of dividend policy which will help to identify fertile research streams in this area with a potential for further investigation. Design/methodology/approach: To conduct a systematic literature review, the authors use a three-step methodology to collect resources and thus evaluate the research work done in the area of dividend policy. First, the necessary data are extracted from the Scopus database using the relevant keywords. The initial search results are then narrowed down to include only English language journal publications which are stored in the file. Finally, this file is used as primary data for data analysis. Data analysis is done using bibliometric and network analysis tools to recognize the trends in dividend policy to help researchers identify emergent areas for future work to be done. Findings: This study reveals that research in the area of dividend policy is rapidly expanding since 2005; affiliation statistics show that majority of the publications are done in the USA and the UK; and many questions linked to dividend decision remain unanswered, especially in respect of emerging markets. Originality/value: There is a need to organize the literature and understand the different areas that have been explored by many researchers. This study attempts to recognize the important research studies, determine the current areas of research attention, provide an understanding for current research interest and provide guidelines for future studies in the area of dividend policy. [ABSTRACT FROM AUTHOR]

Background: This paper describes a UK-based study, SPICES-Sussex, which aimed to co-produce and implement a community-based cardiovascular disease (CVD) risk assessment and reduction intervention to support underserved populations at moderate risk of CVD. The objectives were to enhance stakeholder engagement; to implement the intervention in four research sites and to evaluate the use of Voluntary and Community and Social Enterprises (VCSE) and Community Health Worker (CHW) partnerships in health interventions. Methods: A type three hybrid implementation study design was used with mixed methods data. This paper represents the process evaluation of the implementation of the SPICES-Sussex Project. The evaluation was conducted using the RE-AIM framework. Results: Reach: 381 individuals took part in the risk profiling questionnaire and forty-one women, and five men participated in the coaching intervention. Effectiveness: quantitative results from intervention participants showed significant improvements in CVD behavioural risk factors across several measures. Qualitative data indicated high acceptability, with the holistic, personalised, and person-centred approach being valued by participants. Adoption: 50% of VCSEs approached took part in the SPICES programme, The CHWs felt empowered to deliver high-quality and mutually beneficial coaching within a strong project infrastructure that made use of VCSE partnerships. Implementation: Co-design meetings resulted in local adaptations being made to the intervention. 29 (63%) of participants completed the intervention. Practical issues concerned how to embed CHWs in a health service context, how to keep engaging participants, and tensions between research integrity and the needs and expectations of those in the voluntary sector. Maintenance: Several VCSEs expressed an interest in continuing the intervention after the end of the SPICES programme. Conclusion: Community-engagement approaches have the potential to have positively impact the health and wellbeing of certain groups. Furthermore, VCSEs and CHWs represent a significant untapped resource in the UK. However, more work needs to be done to understand how links between the sectors can be bridged to deliver evidence-based effective alternative preventative healthcare. Reaching vulnerable populations remains a challenge despite partnerships with VCSEs which are embedded in the community. By showing what went well and what did not, this project can guide future work in community engagement for health. [ABSTRACT FROM AUTHOR]

A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and careful consideration of the entire TEL [technology-enhanced learning] technology complex: the different groups of people involved, the educational beliefs and practices of those groups, the technologies they use, and the specific environments within which they operate. It is crucial not only to provide analytics and their associated tools, but also to begin with a clear strategic vision, assess institutional culture critically, identify potential barriers to adoption, develop approaches that can overcome these, and put in place appropriate forms of support, training, and community building. In this paper, we offer tools and case studies that will support educational institutions in deploying learning analytics at scale with the goal of achieving specified learning and teaching objectives. The ROMA [RAPID Outcome Mapping Approach] Framework offers a step-by-step approach to the institutional implementation of learning analytics and this approach is grounded here by case studies of practice from the UK and Australia.

Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool for investigating such data with the aim of better understanding and improving survey processes. A novel approach is to use sequence analysis within interviewers, which allows the identification of unusual interviewer calling behaviours, and may provide guidance on interviewer performance. Combining the technique with clustering, optimal matching and multidimensional scaling, the method offers a way of visualising, displaying and summarising complex call record data. The method is introduced to inform survey management and survey monitoring. The method is hence informative for adaptive survey designs and will help to identify unusual behaviour and outliers and to improve survey processes. Sequence analysis is applied to call record data from the UK Understanding Society survey. The findings inform further modelling of call record data to increase efficiency in call scheduling.

This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis, we conducted a systematic review of 66 multiliteracies articles from the ProQuest® database. These studies were empirical, qualitative/mixed-method, and ranged from 2006 to 2015. Findings show a burgeoning number of multiliteracies studies occurring in 15 countries, with Canada being the most prominently involved. Our evaluation of the reviewed studies was generally favourable with strengths identified in researchers' articulation of pertinent theoretical frameworks and connections to existent literature. Our findings refer to insufficient information of data collection and data analysis in a certain number of papers. We also elaborate on major affordances, challenges, and oversights of the multiliteracies practices as reported by the reviewed studies and discuss implications for future multiliteracies research, policies on literacy education, and teacher education in diverse contexts.

This paper brings together some data on student retention in distance education in the form of graduation rates at a sample of distance institutions. The paper suggests that there is a "distance education deficit" with many distance institutions having less than one-quarter of the graduation rates of conventional institutions. It looks in some detail at the data for one well-known institution--the UK Open University--and surveys some of the reasons why such a deficit should occur and asks what the effects are on students, institutions and society as a whole. The paper suggests that one reason for the deficit is the "category error" of confusing teaching with learning, and that institutions have focused too much on the provision of teaching materials, especially online, and too little on motivating students to learn. It maintains that there is accumulating evidence for the essentiality of proactive contact for overcoming dropout and the importance of making that contact motivational. The paper claims that such an approach is financially viable and can make surpluses for the institutions concerned if carefully designed. Finally, whilst briefly surveying some of the new developments in distance education in the form of Massive Online Open Courses, learning analytics, and the use of smartphones, this paper suggests more speculatively that rather than resources or organisation, the main barriers to increasing student success in distance education are institutional attitudes to student retention.