Can a media annotation tool enhance online engagement with learning? A multi-case work-in-progress report

The paper explores preliminary data of four cases in a larger study investigating the effects on learning of a new educational technology called Media Annotation Tool (MAT). In particular, the paper focuses on learning engagement with MAT and begins to raise questions about what factors promote or enhance engagement. Drawing on the work of Kirkwood (2009), the authors analyse the type of educational technology functions that were expressed through the ways teachers integrated the use of MAT into their curriculum. Another factor explored in the paper is student engagement. Barkley's (2010) theorising on the complexity of student engagement for learning argues that engagement is where motivation and active learning synergistically interact. Examining students reflections on their use of MAT, the authors identify that while MAT offers active learning, motivation for the use of MAT may be a missing factor for some disengaged students. This insight provides further themes to explore in further analysis of the projects data.

Facilitating learning by going online : modernising Islamic teaching and learning in Indonesia

This chapter examines the impact of eLearning and Web 2.0 social media in a socially conservative environment in Indonesia that has nevertheless proven surprisingly adroit at change management. Web 2.0 social media has proven enormously popular in Indonesia but traditional Islamic schools (which are known in Java as pesantren but elsewhere in the Muslim world as madrasah) the focus of this study is often unable to access Web 2.0 or the Internet in general. Progressive non-national government organizations (NGOs) seek to remedy this situation by providing satellite broadband links to remote schools and this chapter examines one particular project. Despite the impoverished and conservative nature of their community, the leaders of this school have led their students in a surprisingly enthusiastic reception of eLearning technology, recognizing its great capacity to produce and enhance social networks and provide new opportunities for learning. Particular attention in this case study is given to factors relating to social capital, attitudes, and patterns of behavior in leadership and change management. A case study approach was chosen to enable a richer and more finely-grained analysis of the issues. The case study is based on semi-structured interviews and observations conducted over several years. This research shows that whilst the adoption and uptake of eLearning with emerging technologies is strongly shaped by cultural and social factors, it plays out in very different ways than might first have been expected.

Crafting communities: promoting inclusion, empowerment, and learning between older women

While social policy and planning documents are replete with ominous warnings about the cost of an ageing population, this article tells a different story about the productive and self-sustaining networks that exist among older women in the community who do craftwork. From our research conducted in Victoria, Australia during 2007–2008 we discovered a resilient and committed group of older women quietly and steadily contributing to community fundraising, building social networks, and providing learning opportunities to each other in diverse ways. Through our conversations with nine craftswomen we have been able to articulate clear links between the theory and models commonly espoused in the community development literature and the life-enriching practices used in organising informal community craft group activities. From our interviews with the older women we provide evidence of sustained participation, the generation of social capital, and the fostering of life-long learning. While none of the women we spoke to were trained in community development and did not use language commonly associated with feminist ideology, the relationship between the informal group work with principles of empowerment and self-efficacy were unmistakeable. We conclude with a discussion of the implications of our findings for critical social work practice.

Communities of inquiry: developing digital literacies in teachers and students

Teachers’ and students’ classroom work is increasingly described as knowledge work conducted in a in a rapidly changing globalised, digital world. To enable teachers to effectively support students in the shifting contexts created by constantly emerging new technologies, teacher professional learning has gained prominence as a priority area in education (Yates, 2007). This paper reports on research into teacher and student learning of digital literacies within the context of a project undertaken by a university and an educational authority. The professional learning project was designed to enable practising teachers to engage their students with digital literacies.The project seeks to offer innovative, differentiated professional learning by combining the concept of a collaborative learning community with structures of distributed leadership and processes of inquiry learning. The mixed methods research explored teacher and student learning through online surveys and case studies. Initial findings indicate that teacher agency, knowledge creation and commitment to sustained pedagogical change were fostered through inter- and intra-school communities of inquiry. Purposeful development of digital tools, within the context of teacher inquiry, collaboration and distributed leadership, led to increased and discerning use of these tools by teachers. As a result students had greater school-based access to digital tools and teachers and students worked collaboratively to develop their digital literacies.

Learning from others at work: communities of practice and informal learning

This paper addresses the question of who is involved in learning in workplaces and the ways in which members of workgroups learn as part of their normal work. It draws on qualitative data from a study of multiple worksites with differentiated work within a large organisation. It examines the value of the notion of communities of practice in conceptualising such workplace learning and suggests that other forms of conceptualisation are also needed.

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

Depression afflicts one in four people during their lives. Several studies have shown that for the isolated and mentally ill, the Web and social media provide effective platforms for supports and treatments as well as to acquire scientific, clinical understanding of this mental condition. More and more individuals affected by depression join online communities to seek for information, express themselves, share their concerns and look for supports [12]. For the first time, we collect and study a large online depression community of more than 12,000 active members from Live Journal. We examine the effect of mood, social connectivity and age on the online messages authored by members in an online depression community. The posts are considered in two aspects: what is written (topic) and how it is written (language style). We use statistical and machine learning methods to discriminate the posts made by bloggers in low versus high valence mood, in different age categories and in different degrees of social connectivity. Using statistical tests, language styles are found to be significantly different between low and high valence cohorts, whilst topics are significantly different between people whose different degrees of social connectivity. High performance is achieved for low versus high valence post classification using writing style as features. The finding suggests the potential of using social media in depression screening, especially in online setting.

Analysis of circadian rhythms from online communities of individuals with affective disorders

The circadian system regulates 24 hour rhythms in biological creatures. It impacts mood regulation. The disruptions of circadian rhythms cause destabilization in individuals with affective disorders, such as depression and bipolar disorders. Previous work has examined the role of the circadian system on effects of light interactions on mood-related systems, the effects of light manipulation on brain, the impact of chronic stress on rhythms. However, such studies have been conducted in small, preselected populations. The deluge of data is now changing the landscape of research practice. The unprecedented growth of social media data allows one to study individual behavior across large and diverse populations. In particular, individuals with affective disorders from online communities have not been examined rigorously. In this paper, we aim to use social media as a sensor to identify circadian patterns for individuals with affective disorders in online communities.We use a large scale study cohort of data collecting from online affective disorder communities. We analyze changes in hourly, daily, weekly and seasonal affect of these clinical groups in contrast with control groups of general communities. By comparing the behaviors between the clinical groups and the control groups, our findings show that individuals with affective disorders show a significant distinction in their circadian rhythms across the online activity. The results shed light on the potential of using social media for identifying diurnal individual variation in affective state, providing key indicators and risk factors for noninvasive wellbeing monitoring and prediction.

Self-regulated learning strategies & academic achievement in online higher education learning environments: a systematic review

© 2015 Elsevier Inc. All rights reserved. As enrolments in online courses continue to increase, there is a need to understand how students can best apply self-regulated learning strategies to achieve academic success within the online environment. A search of relevant databases was conducted in December 2014 for studies published from 2004 to Dec 2014 examining SRL strategies as correlates of academic achievement in online higher education settings. From 12 studies, the strategies of time management, metacognition, effort regulation, and critical thinking were positively correlated with academic outcomes, whereas rehearsal, elaboration, and organisation had the least empirical support. Peer learning had a moderate positive effect, however its confidence intervals crossed zero. Although the contributors to achievement in traditional face-to-face settings appear to generalise to on-line context, these effects appear weaker and suggest that (1) they may be less effective, and (2) that other, currently unexplored factors may be more important in on-line contexts.

Integrating online communities within business-to-business marketing communications: an exploratory study

© 2015 Taylor & Francis The article provides a conceptual contribution by developing a framework for business-to-business (B2B) marketers seeking to implement online communities (OLCs). Furthermore, the conceptual contribution is augmented by a small-scale exploratory study comprising in-depth interviews with B2B chief marketing officers (CMOs). The findings challenge existing thinking that B2B marketers can follow generic marketing communication frameworks. This is due to the differences in B2B OLCs in terms of multiple stakeholders and two-way information flows and differences in buyer behaviour. For researchers, the contribution is an embryonic model that will facilitate future conceptual development as well as empirical testing through a series of research propositions. A sequential decision-making framework, which identifies key implementation challenges, is provided for B2B managers.

Child learning and development: concerns and perceptions of Chinese urban mothers

Child development is deservedly dominant in the discourses on education. In populated communities such as China’s, awareness of the prevalent ideas about child development within families is particularly important. Drawing on a series of conversations between parents and teachers through synchronous online text chat, this paper investigated the perceptions and concerns of Chinese urban parents on child development. The participants were mothers of three to six year old children from Changchun, China. Results were presented in terms of the nature of the questions the mothers raised and what they talked about when discussing their questions. Analyses of the mothers’ texts revealed their concerns on those elements of child development which challenged their roles in parenting, such as inappropriate social behaviours or regulated emotions. Data from the study provided insights into key characteristics of contemporary Chinese preschool children’s learning and development within families that might identify issues and trends of early childhood education on a larger contextual scope.

Nonparametric discovery of online mental health-related communities

People are increasingly using social media, especially online communities, to discuss mental health issues and seek supports. Understanding topics, interaction, sentiment and clustering structures of these communities informs important aspects of mental health. It can potentially add knowledge to the underlying cognitive dynamics, mood swings patterns, shared interests, and interaction. There has been growing research interest in analyzing online mental health communities; however sentiment analysis of these communities has been largely under-explored. This study presents an analysis of online Live Journal communities with and without mental health-related conditions including depression and autism. Latent topics for mood tags, affective words, and generic words in the content of the posts made in these communities were learned using nonparametric topic modelling. These representations were then input into a nonparametric clustering to discover meta-groups among the communities. The best performance results can be achieved on clustering communities with latent mood-based representation for such communities. The study also found significant differences in usage latent topics for mood tags and affective features between online communities with and without affective disorders. The findings reveal useful insights into hyper-group detection of online mental health-related communities.