The Role of Connectors in Supporting Knowledge Construction in xMOOC Learning Networks:A Mixed Methods Case Study

Massive Open Online Courses (MOOCs) are a relatively new phenomenon in the field of online education. The literature has both praised the potential for xMOOCs, highly structured courses that centre around a series of short video lectures, automated marking, and peer evaluation, enhancing learning outcomes and condemned them for not being innovative at all, with some suggesting that xMOOCs reinforce a teacher-centred approach to teaching and learning. Empirical research on xMOOCs is still relatively new, ranging from the subject of attrition rates, communication patterns, , and learning analytics. Yet, there is still little empirical evidence showing how learning occurs in xMOOCs. More specifically, it’s not understood how participants engage in collaborative dialogue and knowledge construction. Furthermore, the literature is lacking in describing how or who influences the sequence of knowledge construction in xMOOCs. Recent research suggests that a social network analysis approach to MOOC research may provide insight on how participants engage with each other, and whether some are more influential than others in how knowledge is shared, understood or constructed. This thesis adopts a mixed methods case study design using (1) social network analysis, and (2) Interaction Analysis Model (IAM) to explore how xMOOC participants with high centrality measures support knowledge construction. The results show that SNA of xMOOC discussion forums can identify participants who are in the position to be connectors, highly influential in a social network; however, IAM of the discussion forums suggest that they play a minimal role in the sequence of knowledge construction among participants. This suggests connectors are not influential in an xMOOC learning network, despite the power of their position. The implications of these findings informs both researchers of how engagement and knowledge construction does not happen automatically, and that instructor or instructional design intervention may be needed

MOOCs for Development? A Study of Indian Learners and their Experiences in Massive Open Online Courses

The study outlined in this thesis provides an account of the demographics, motivations and experiences of Indian learners in Massive Open Online Courses (MOOCs) comparing the UK-based platform FutureLearn and the Indian platform NPTEL (The National Programme on Technology Enhanced Learning). A sequential mixed-methods approach was adopted. A web-based survey (n=2373) was used to collect demographical data and evidence of respondents’ perceptions about their motivations for taking a MOOC, their learning experiences, and any challenges they may have faced while taking a MOOC. The survey phase was followed by 30 semi-structured interviews with learners from both platforms, adding a rich level of qualitative data to the study, revealing the varied experiences and backgrounds of MOOC learners from India. Analysis of the collected data suggests that learners from India tend to be male, younger, more likely to be in formal education, and more educated than participants featured in many existing studies on MOOC learner demographics. Further, the current study outlined several demographic and motivational differences between learners on FutureLearn and NPTEL, likely to be attributable to the distinct objectives of the two platforms. A more in-depth exploration of learners’ experiences suggested that a diverse group of people, particularly on the FutureLearn platform, are using MOOCs to learn more about areas of personal interest, and, in some cases, using FutureLearn resources to assist in their teaching practice. Conversely, learners on the NPTEL platform, who tended to experience more technical challenges such as connectivity issues, were using MOOCs as a supplement to their formal studies, to make up for some of the systemic lack of quality education in many Indian universities. This thesis suggests that educational technology, in the form of MOOCs, might not necessarily be widening participation in education in a Global South context like India. However, it offers a unique insight into the experiences of learners from India, and provides practical recommendations on how best to serve the needs of the varied Indian learners that make use of MOOCs

Analytics-based approach to the study of learning networks in digital education settings

Investigating howgroups communicate, build knowledge and expertise, reach consensus or collaboratively solve complex problems, became one of the main foci of contemporary research in learning and social sciences. Emerging models of communication and empowerment of networks as a form of social organization further reshaped practice and pedagogy of online education, bringing research on learning networks into the mainstream of educational and social science research. In such conditions, massive open online courses (MOOCs) emerged as one of the promising approaches to facilitating learning in networked settings and shifting education towards more open and lifelong learning. Nevertheless, this most recent educational turn highlights the importance of understanding social and technological (i.e., material) factors as mutually interdependent, challenging the existing forms of pedagogy and practice of assessment for learning in online environments. On the other hand, the main focus of the contemporary research on networked learning is primarily oriented towards retrospective analysis of learning networks and informing design of future tasks and recommendations for learning. Although providing invaluable insights for understanding learning in networked settings, the nature of commonly applied approaches does not necessarily allow for providing means for understanding learning as it unfolds. In that sense, learning analytics, as a multidisciplinary research field, presents a complementary research strand to the contemporary research on learning networks. Providing theory-driven and analytics-based methods that would allow for comprehensive assessment of complex learning skills, learning analytics positions itself either as the end point or a part of the pedagogy of learning in networked settings. The thesis contributes to the development of learning analytics-based research in studying learning networks that emerge fromthe context of learning with MOOCs. Being rooted in the well-established evidence-centered design assessment framework, the thesis develops a conceptual analytics-based model that provides means for understanding learning networks from both individual and network levels. The proposed model provides a theory-driven conceptualization of the main constructs, along with their mutual relationships, necessary for studying learning networks. Specifically, to provide comprehensive understanding of learning networks, it is necessary to account for structure of learner interactions, discourse generated in the learning process, and dynamics of structural and discourse properties. These three elements – structure, discourse, and dynamics – should be observed as mutually dependent, taking into account learners’ personal interests, motivation, behavior, and contextual factors that determine the environment in which a specific learning network develops. The thesis also offers an operationalization of the constructs identified in the model with the aim at providing learning analytics-methods for the implementation of assessment for learning. In so doing, I offered a redefinition of the existing educational framework that defines learner engagement in order to account for specific aspects of learning networks emerging from learning with MOOCs. Finally, throughout the empirical work presented in five peer-reviewed studies, the thesis provides an evaluation of the proposed model and introduces novel learning analytics methods that provide different perspectives for understanding learning networks. The empirical work also provides significant theoretical and methodological contributions for research and practice in the context of learning networks emerging from learning with MOOCs

Examining learners’ social presence in a Massive Open Online Course through social network analysis and machine learning

Low engagement has been a longstanding problem in Massive Open Online Courses (MOOCs). However, engagement is crucial in social learning contexts to increase knowledge construction and achieve meaningful learning outcome. To further understand learners’ engagement in MOOC discussion forums, this study focuses on the perspective of social presence, which is defined as learners’ ability to project themselves socially and emotionally in a community of inquiry. Social presence is an important factor that has the potential to affect learners’ learning experience and outcome. This study took place in the context of a professional development MOOC in the field of journalism. The discussion posts, system log data and survey responses were collected and analyzed. The purpose of this study is to understand the learners’ participation patterns in the discussion forums over the six modules of the MOOC, and the relationship between learners’ social presence, their positions in the learner network and their learning outcomes. In terms of data analysis, this study adopted a mixed-method approach to examine the data from both qualitative and quantitative aspects: to qualitatively analyze the posts, a machine learning supported text classification model was developed and applied to automatically analyze the large-scale text data in the forums; social network analysis (SNA) was used to analyze the characteristics of the learner network and determine learners’ centrality (degree, closeness, betweenness and Eigen centrality). Centrality is an important measure because prior studies found it to be an important predictor of learning outcome. Correlation analyses were used to discern the relationship between social presence and learners’ centrality, while regression models were built to investigate how learners’ social presence and posting behaviors (frequency of posting, average length of posts and day of posting) predict learners’ network centrality. Finally, correlation analyses were conducted to understand the association between learners’ network centrality and their certificate status, perceived learning and satisfaction. The purpose of using mixed methods is to see in what ways the qualitative nature of the posts and learners’ posting behaviors impact learners’ positions and influence in the learning community and their learning outcomes. The findings revealed the evolvement of the learner network in relation to the distribution of social presence throughout the MOOC. The results also showed that social presence indicators such as Complimenting others, Expressing agreement, Expressing gratitude and Disagreement/doubts/criticism play important roles in learners’ centrality in the learner network. Beside social presence, frequency of posting has strong effect in predicting learners’ network centrality, while other factors such as the average length of posts and the timing of posting have marginal impact in the prediction. Finally, this study found that learners’ network centrality is correlated with their certificate status as well as their overall satisfaction with the MOOC, but not correlated with their perceived learning in the MOOC. This study is among the first efforts in MOOC research to examine the relationship between social presence, learners’ network centrality and learning outcomes. It provides a critical ground for studying content-related interaction and learning community in MOOC forums. The findings inform MOOC learners in terms of how to strategically present themselves in the discussion forums to increase the possibilities of peer interaction and achieve productive learning outcomes. For examples, findings suggest that learners may obtain more central position in the community by posting more compliments, expressing more gratitude, and communicating agreement and disagreement, doubts etc. While for MOOC instructors, this study will potentially inform them how to effectively mediate the discussions and improve learner engagement as a facilitator, such as paying attention to the changes of learner network, identifying central learners, monitoring learners’ affective states.Curriculum and Instructio

Perspectives on Open and Distance Learning: Open Educational Resources: Innovation, Research and Practice

Open Educational Resources (OER) – that is, teaching, learning and research materials that their owners make free to others to use, revise and share – offer a powerful means of expanding the reach and effectiveness of worldwide education. Those resources can be full courses, course materials, modules, textbooks, streaming videos, software, and other materials and techniques used to promote and support universal access to knowledge. This book, initiated by the UNESCO/COL Chair in OER, is one in a series of publications by the Commonwealth of Learning (COL) examining OER. It describes the movement in detail, providing readers with insight into OER’s significant benefits, its theory and practice, and its achievements and challenges. The 16 chapters, written by some of the leading international experts on the subject, are organised into four parts by theme: OER in Academia – describes how OER are widening the international community of scholars, following MIT’s lead in sharing its resources and looking to the model set by the OpenCourseWare Consortium OER in Practice – presents case studies and descriptions of OER initiatives underway on three continents Diffusion of OER – discusses various approaches to releasing and “opening” content, from building communities of users that support lifelong learning to harnessing new mobile technologies that enhance OER access on the Internet Producing, Sharing and Using OER – examines the pedagogical, organisational, personal and technical issues that producing organisations and institutions need to address in designing, sharing and using OER Instructional designers, curriculum developers, educational technologists, teachers, researchers, students, others involved in creating, studying or using OER: all will find this timely resource informative and inspiring.Sponsors, whose grants have helped in the realization of this book, include: the Ministry of Advanced Education and Technology of Alberta, Canada; the Canadian Foundation for Innovation; the William and Flora Hewlett Foundation; and the Technology Enhanced Knowledge Research Institute (TEKRI) at Athabasca University

European Distance and E-Learning Network (EDEN). Conference Proceedings

Erasmus+ Programme of the European UnionThe powerful combination of the information age and the consequent disruption caused by these unstable environments provides the impetus to look afresh and identify new models and approaches for education (e.g. OERs, MOOCs, PLEs, Learning Analytics etc.). For learners this has taken a fantastic leap into aggregating, curating and co-curating and co-producing outside the boundaries of formal learning environments – the networked learner is sharing voluntarily and for free, spontaneously with billions of people.Supported by Erasmus+ Programme of the European Unioninfo:eu-repo/semantics/publishedVersio

The Role of Collegiality in Academic Work

Collegiality is at the heart of the academy’s collective endeavour. It is central to how we think about academic governance structures, academic cultures and values, as well as the norms guiding academic work. Yet collegiality tends to be misconstrued as a singular and unproblematic ‘good thing’. Situated in the field of critical university studies, in this thesis, I engage with poststructural and postfoundational theories to generate new readings of collegiality that challenge these simplistic conceptions. Through an ongoing iterative process of assembling theoretical concepts and putting them in conversation with collegiality as an empirical phenomenon, I examine collegiality as both a discursive category and a practice. To do this, I draw on a range of texts: academic and online texts, as well as interviews with academics situated in Australian and New Zealand/Aotearoa universities. I read collegiality, first, as a fantasy; second, as a tactically polyvalent element of discourse; third, as a constellation of practices; and finally, as affective attunement to academic contexts. These theoretical angles enable me to shed a different light on the role collegiality plays in academic work, and to examine a range of mechanisms through which the collective imaginary of collegiality is constructed, maintained, contested and negotiated. Taken together, these interpretations allow me to reinscribe collegiality as a relationally and dynamically constituted phenomenon that is enacted by a multiplicity of players in academic contexts. Through these new readings of collegiality, this thesis makes three main contributions to the higher education literature. First, it invites us to reflect on the effects that collegiality produces in academic contexts and to shift our analytical gaze away from viewing collegiality as a universalising concept. Second, this study offers a reconfigured picture of academic relations creating a more expansive view of collegiality and its role in academic work. Finally, by noticing and affirming fragmented and marginal collegial practices that are attentive to difference, this thesis opens up the possibility for new responses to challenges facing the contemporary academy. Through these types of practices, I contend that the (good) academy could be forged as a pluralistic, open and more socially just formation

The Responsible University

This book explores how the notion of the responsible university manifests itself at various levels within Nordic higher education. As the impetus of the knowledge society has catapulted the higher education sector to the forefront of policy agendas, universities and other types of higher education institutions face increasing scrutiny, assessment and accountability. This book examines this phenomenon using the Nordic countries as cases in point, given the strong public commitment towards widening participation and public research investments. The editors and contributors analyse the history and current transformations of the idea of the responsible university, investigate new innovations in the educational landscape and look into how universities have begun to organise themselves to become more responsible. Drawing together scholars from the humanities and the social sciences, this interdisciplinary collection will be of interest and value to students and scholars of the role and nature of the modern university, in addition to practitioners and policy makers tasked with finding solutions to address the competing and often contradictory demands posed by a responsibility agenda

The Big Five:Addressing Recurrent Multimodal Learning Data Challenges

The analysis of multimodal data in learning is a growing field of research, which has led to the development of different analytics solutions. However, there is no standardised approach to handle multimodal data. In this paper, we describe and outline a solution for five recurrent challenges in the analysis of multimodal data: the data collection, storing, annotation, processing and exploitation. For each of these challenges, we envision possible solutions. The prototypes for some of the proposed solutions will be discussed during the Multimodal Challenge of the fourth Learning Analytics & Knowledge Hackathon, a two-day hands-on workshop in which the authors will open up the prototypes for trials, validation and feedback