MOOC (Massive Open Online Courses)

Massive Open Online Courses (MOOCs) are free online courses available to anyone who can sign up. MOOCs provide an affordable and flexible way to learn new skills, advance in careers, and provide quality educational experiences to a certain extent. Millions of people around the world use MOOCs for learning and their reasons are various, including career development, career change, college preparation, supplementary learning, lifelong learning, corporate e-Learning and training, and so on

Developing sustainable business models for institutions’ provision of open educational resources: Learning from OpenLearn users’ motivations and experiences

Universities across the globe have, for some time, been exploring the possibilities for achieving public benefit and generating business and visibility through releasing and sharing open educational resources (OER). Many have written about the need to develop sustainable and profitable business models around the production and release of OER. Downes (2006), for example, has questioned the financial sustainability of OER production at scale. Many of the proposed business models focus on OER’s value in generating revenue and detractors of OER have questioned whether they are in competition with formal education. This paper reports on a study intended to broaden the conversation about OER business models to consider the motivations and experiences of OER users as the basis for making a better informed decision about whether OER and formal learning are competitive or complementary with each other. The study focused on OpenLearn - the Open University’s (OU) web-based platform for OER, which hosts hundreds of online courses and videos and is accessed by over 3,000,000 users a year. A large scale survey and follow-up interviews with OpenLearn users worldwide revealed that university provided OER can offer learners a bridge to formal education, allowing them to try out a subject before registering on a formal course and to build confidence in their abilities as learners. In addition, it was found that using OER during formal paid-for study can improve learners’ performance and self-reliance, leading to increased retention and satisfaction with the learning experience

Open educational resources for all? Comparing user motivations and characteristics across The Open University’s iTunes U channel and OpenLearn platform.

With the rise in access to mobile multimedia devices, educational institutions have exploited the iTunes U platform as an additional channel to provide free educational resources with the aim of profile-raising and breaking down barriers to education. For those prepared to invest in content preparation, it is possible to produce interactive, portable material that can be made available globally. Commentators have questioned both the financial implications for platform-specific content production, and the availability of devices for learners to access it (Osborne, 2012). The Open University (OU) makes its free educational resources available on iTunes U and via its web-based open educational resources (OER) platform, OpenLearn. The OU’s OER on iTunes U reached the 60 million download mark in 2013; its OpenLearn platform boasts 27 million unique visitors since 2006. This paper reports the results of a large-scale study of users of the OU’s iTunes U channel and OpenLearn platform. A survey of several thousand users revealed key differences in demographics between those accessing OER via the web and via iTunes U. In addition, the data allowed comparison between three groups: formal learners, informal learners and educators. The study raises questions about whether university-provided OER meet the needs of users and makes recommendations for how content can be modified to suit their needs. As the publishing of OER becomes core to business, we reflect on reasons why understanding users’ motivations and demographics is vital, allowing for needs-led resource provision and content that is adapted to best achieve learner satisfaction, and to deliver institutions’ social mission

Predicting Paid Certification in Massive Open Online Courses

Massive open online courses (MOOCs) have been proliferating because of the free or low-cost offering of content for learners, attracting the attention of many stakeholders across the entire educational landscape. Since 2012, coined as “the Year of the MOOCs”, several platforms have gathered millions of learners in just a decade. Nevertheless, the certification rate of both free and paid courses has been low, and only about 4.5–13% and 1–3%, respectively, of the total number of enrolled learners obtain a certificate at the end of their courses. Still, most research concentrates on completion, ignoring the certification problem, and especially its financial aspects. Thus, the research described in the present thesis aimed to investigate paid certification in MOOCs, for the first time, in a comprehensive way, and as early as the first week of the course, by exploring its various levels. First, the latent correlation between learner activities and their paid certification decisions was examined by (1) statistically comparing the activities of non-paying learners with course purchasers and (2) predicting paid certification using different machine learning (ML) techniques. Our temporal (weekly) analysis showed statistical significance at various levels when comparing the activities of non-paying learners with those of the certificate purchasers across the five courses analysed. Furthermore, we used the learner’s activities (number of step accesses, attempts, correct and wrong answers, and time spent on learning steps) to build our paid certification predictor, which achieved promising balanced accuracies (BAs), ranging from 0.77 to 0.95. Having employed simple predictions based on a few clickstream variables, we then analysed more in-depth what other information can be extracted from MOOC interaction (namely discussion forums) for paid certification prediction. However, to better explore the learners’ discussion forums, we built, as an original contribution, MOOCSent, a cross- platform review-based sentiment classifier, using over 1.2 million MOOC sentiment-labelled reviews. MOOCSent addresses various limitations of the current sentiment classifiers including (1) using one single source of data (previous literature on sentiment classification in MOOCs was based on single platforms only, and hence less generalisable, with relatively low number of instances compared to our obtained dataset;) (2) lower model outputs, where most of the current models are based on 2-polar iii iv classifier (positive or negative only); (3) disregarding important sentiment indicators, such as emojis and emoticons, during text embedding; and (4) reporting average performance metrics only, preventing the evaluation of model performance at the level of class (sentiment). Finally, and with the help of MOOCSent, we used the learners’ discussion forums to predict paid certification after annotating learners’ comments and replies with the sentiment using MOOCSent. This multi-input model contains raw data (learner textual inputs), sentiment classification generated by MOOCSent, computed features (number of likes received for each textual input), and several features extracted from the texts (character counts, word counts, and part of speech (POS) tags for each textual instance). This experiment adopted various deep predictive approaches – specifically that allow multi-input architecture - to early (i.e., weekly) investigate if data obtained from MOOC learners’ interaction in discussion forums can predict learners’ purchase decisions (certification). Considering the staggeringly low rate of paid certification in MOOCs, this present thesis contributes to the knowledge and field of MOOC learner analytics with predicting paid certification, for the first time, at such a comprehensive (with data from over 200 thousand learners from 5 different discipline courses), actionable (analysing learners decision from the first week of the course) and longitudinal (with 23 runs from 2013 to 2017) scale. The present thesis contributes with (1) investigating various conventional and deep ML approaches for predicting paid certification in MOOCs using learner clickstreams (Chapter 5) and course discussion forums (Chapter 7), (2) building the largest MOOC sentiment classifier (MOOCSent) based on learners’ reviews of the courses from the leading MOOC platforms, namely Coursera, FutureLearn and Udemy, and handles emojis and emoticons using dedicated lexicons that contain over three thousand corresponding explanatory words/phrases, (3) proposing and developing, for the first time, multi-input model for predicting certification based on the data from discussion forums which synchronously processes the textual (comments and replies) and numerical (number of likes posted and received, sentiments) data from the forums, adapting the suitable classifier for each type of data as explained in detail in Chapter 7

A framework for structuring prerequisite relations between concepts in educational textbooks

In our age we are experiencing an increasing availability of digital educational resources and self-regulated learning. In this scenario, the development of automatic strategies for organizing the knowledge embodied in educational resources has a tremendous potential for building personalized learning paths and applications such as intelligent textbooks and recommender systems of learning materials. To this aim, a straightforward approach consists in enriching the educational materials with a concept graph, i.a. a knowledge structure where key concepts of the subject matter are represented as nodes and prerequisite dependencies among such concepts are also explicitly represented. This thesis focuses therefore on prerequisite relations in textbooks and it has two main research goals. The first goal is to define a methodology for systematically annotating prerequisite relations in textbooks, which is functional for analysing the prerequisite phenomenon and for evaluating and training automatic methods of extraction. The second goal concerns the automatic extraction of prerequisite relations from textbooks. These two research goals will guide towards the design of PRET, i.e. a comprehensive framework for supporting researchers involved in this research issue. The framework described in the present thesis allows indeed researchers to conduct the following tasks: 1) manual annotation of educational texts, in order to create datasets to be used for machine learning algorithms or for evaluation as gold standards; 2) annotation analysis, for investigating inter-annotator agreement, graph metrics and in-context linguistic features; 3) data visualization, for visually exploring datasets and gaining insights of the problem that may lead to improve algorithms; 4) automatic extraction of prerequisite relations. As for the automatic extraction, we developed a method that is based on burst analysis of concepts in the textbook and we used the gold dataset with PR annotation for its evaluation, comparing the method with other metrics for PR extraction

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

Knowledge Communities in Online Education and (Visual) Knowledge Management: 19. Workshop GeNeMe‘16 as part of IFKAD 2016: Proceedings of 19th Conference GeNeMe

Communities in New Media started in 1998 as a workshop series at TU Dresden, and since then has annually dealt with online communities at the interface between several disciplines such as education and economics, computer science, social and communication sciences, and more. (See Köhler, Kahnwald & Schoop, 2015). The workshop is traditionally a forum for interdisciplinary dialogue between science and business and serves to share experiences and knowledge among participants from different disciplines, organisations, and institutions. In addition to the core themes of knowledge management and communities (in the chapters of the same name), the main focus of the conference is also on the support of knowledge and learning processes in the field of (media-assisted) higher education. This is complemented by an informational perspective when it comes to more functional and methodological approaches - use cases, workflows, and automation in knowledge management. In addition, systems and approaches for feedback, exchange, and ideas are presented. With the focus of knowledge media design and visual research as well as creative processes, this time there is also a highlight on visual aspects of knowledge management and mediation. For IFKAD 2016, three GeNeMe tracks were accepted which focus on the interface of knowledge communities and knowledge management as well as knowledge media design in science, business, or education. In this conference volume you will find detailed information about these three tracks: -- Knowledge Communities I: Knowledge Management -- Knowledge Communities II: Online Education -- Visual Knowledge Management [From the Preface.]:Preface IX Vorwort XIII Knowledge Communities I: Knowledge Management 1 Process Learning Environments 1 Two Steps to IT Transparency: A Practitioner’s Approach for a Knowledge Based Analysis of Existing IT Landscapes in SME 13 Social Media and Sustainable Communication. Rethinking the Role of Research and Innovation Networks 26 Consolidating eLearning in a Higher Education Institution: An Organisational Issue integrating Didactics, Technology, and People by the Means of an eLearning Strategy 39 How to treat the troll? An empirical analysis of counterproductive online behavior, personality traits and organizational behavior 51 Knowledge Communities II: Online Education 64 Sifa-Portfolio – a Continuing Education Concept for Specialists on Industrial Safety Combining Formal and Informal Learning 64 Analysing eCollaboration: Prioritisation of Monitoring Criteria for Learning Analytics in the Virtual Classroom 78 Gamifying Higher Education. Beyond Badges, Points and Leaderboards 93 Virtual International Learning Experience in Formal Higher Education – A Case Study from Jordan 105 Migration to the Flipped Classroom – Applying a Scalable Flipped Classroom Arrangement 117 MOOC@TU9 – Common MOOC Strategy of the Alliance of Nine Leading German Institutes of Technology 131 A Survey on Knowledge Management in Universities in the QS Rankings: E-learning and MOOCs 144 Visual Knowledge Media 157 Generating implications for design in practice: How different stimuli are retrieved and transformed to generate ideas 157 Behind the data – preservation of the knowledge in CH Visualisations 170 Building a Wiki resource on digital 3D reconstruction related knowledge assets 184 Visual media as a tool to acquire soft skills — cross-disciplinary teaching-learning project SUFUvet 196 Graphing Meeting Records - An Approach to Visualize Information in a Multi Meeting Context 209 HistStadt4D – A four dimensional access to history 221 Ideagrams: A digital tool for observing ideation processes 234 Adress- und Autorenverzeichnis 251Gemeinschaften in Neuen Medien hat 1998 als Workshop-Reihe an der TU Dresden begonnen und seither jährlich das Thema Online-Communities an der Schnittstelle mehrerer Disziplinen wie Informatik, Bildungs- und Wirtschaftswissenschaften, Informatik sowie Sozial-und Kommunikationswissenschaft u.a.m. thematisiert (vgl. Köhler, Kahnwald & Schoop, 2015). Der Workshop ist traditionell ein Forum für den interdisziplinären Dialog zwischen Wissenschaft und Wirtschaft und dient dazu, Erfahrungen und Wissen unter den Teilnehmern aus verschiedenen Disziplinen, Organisationen und Institutionen zu teilen. Die inhaltlichen Schwerpunkte der Konferenz widmen sich neben den Kernthemen Wissensmanagement und Communities (in den gleichnamigen Kapiteln) auch der Unterstützung von Wissens- und Lernprozessen im Bereich der (mediengestützten) Hochschullehre. Ergänzt wird diese eher organisationswissenschaftliche durch eine informatorische Perspektive, wenn es um stärker funktionale bzw. auch methodische Ansätze geht – Use Cases, Workflows und Automatisierung im Wissensmanagement. Darüber hinaus werden Systeme und Ansätze für Feedback, Austausch und Ideenfindung vorgestellt. Mit den Schwerpunkten der Wissensmediengestaltung und visuellen Forschungs- sowie Kreativprozessen wird diesmal auch ein Schlaglicht auf visuelle Aspekte von Wissensmanagement und -vermittlung geworfen. Für die IFKAD 2016 wurden drei GeNeMe-Tracks angenommen, die sich auf das Interface von Wissensgemeinschaften und Wissensmanagement sowie die Wissensmediengestaltung in Wissenschaft, Wirtschaft oder Bildung konzentrieren. Im vorliegenden Tagungsband finden Sie detaillierte Informationen zu diesen drei Tracks: -- Knowledge Communities I: Knowledge Management -- Knowledge Communities II: Online Education -- Visual Knowledge Management [Aus dem Vorwort.]:Preface IX Vorwort XIII Knowledge Communities I: Knowledge Management 1 Process Learning Environments 1 Two Steps to IT Transparency: A Practitioner’s Approach for a Knowledge Based Analysis of Existing IT Landscapes in SME 13 Social Media and Sustainable Communication. Rethinking the Role of Research and Innovation Networks 26 Consolidating eLearning in a Higher Education Institution: An Organisational Issue integrating Didactics, Technology, and People by the Means of an eLearning Strategy 39 How to treat the troll? An empirical analysis of counterproductive online behavior, personality traits and organizational behavior 51 Knowledge Communities II: Online Education 64 Sifa-Portfolio – a Continuing Education Concept for Specialists on Industrial Safety Combining Formal and Informal Learning 64 Analysing eCollaboration: Prioritisation of Monitoring Criteria for Learning Analytics in the Virtual Classroom 78 Gamifying Higher Education. Beyond Badges, Points and Leaderboards 93 Virtual International Learning Experience in Formal Higher Education – A Case Study from Jordan 105 Migration to the Flipped Classroom – Applying a Scalable Flipped Classroom Arrangement 117 MOOC@TU9 – Common MOOC Strategy of the Alliance of Nine Leading German Institutes of Technology 131 A Survey on Knowledge Management in Universities in the QS Rankings: E-learning and MOOCs 144 Visual Knowledge Media 157 Generating implications for design in practice: How different stimuli are retrieved and transformed to generate ideas 157 Behind the data – preservation of the knowledge in CH Visualisations 170 Building a Wiki resource on digital 3D reconstruction related knowledge assets 184 Visual media as a tool to acquire soft skills — cross-disciplinary teaching-learning project SUFUvet 196 Graphing Meeting Records - An Approach to Visualize Information in a Multi Meeting Context 209 HistStadt4D – A four dimensional access to history 221 Ideagrams: A digital tool for observing ideation processes 234 Adress- und Autorenverzeichnis 25

A pedagogically-informed model of Massive Open Online Courses (MOOCS) for Mauritian higher education

The purpose of this research was to determine how MOOCs (Massive Open Online Courses) can be introduced and implemented in Higher Education institutions in Mauritius. The study explored the perspectives of students, teachers and educational leaders using an exploratory case study approach, and involved the implementation of short MOOC-based courses in three areas of higher education in Mauritius. While much of the existing literature on MOOCs has used quantitative data to explore patterns of enrolment and retention, this study explicitly focused on student experience, and used Garrison, Anderson and Archer’s (2000) Community of Inquiry (COI) model to explore patterns of ‘presence’ and pedagogical preferences and needs of learners. In order to explore how these preferences, together with other contextual factors might affect the adoption of MOOCs in Mauritius, Venkatesh and Davis’s (2000) Technology Acceptance Model2 (TAM2) was used. The COI and TAM2 models were used both as analytical frameworks, but also to develop a new composite model that also can function as a boundary object (Bowker and Star, 1999; Fox, 2011) enabling different stakeholders to understand each other’s needs and expectations and communicate better with each other. For Mauritian learners, teaching presence in online environments is of critical importance: this is reflected in different scenarios of MOOC implementation identified, and in a proposed staged model for MOOC adoption across the HE sector in Mauritius. This involves further pilots and preliminary research (stage 1), integration of MOOCs into practice (stage 2), customisation and development of MOOCs (stage 3) and a MOOC for Mauritius (stage 4), with each stage informing the implementation of subsequent stages as part of a broad action research framework. The original contributions made by the research to the knowledge base of its possible audiences include: providing models of practice for teachers and educational leaders; informing the educational leaders and policy makers about how MOOCs can be successfully implemented in Mauritius; providing detailed case studies on MOOCs to the academic audience interested in MOOCs specifically; and proposing a new composite, pedagogically-informed, technology acceptance model to those academics who are interested in online pedagogy and technology acceptance. The results of this PhD research can also inform the introduction and effective implementation of MOOCs in other less-economically developed countries