2,197 research outputs found

    Community tracking in a cMOOC and nomadic learner behavior identification on a connectivist rhizomatic learning network

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    This article contributes to the literature on connectivism, connectivist MOOCs (cMOOCs) and rhizomatic learning by examining participant interactions, community formation and nomadic learner behavior in a particular cMOOC, #rhizo15, facilitated for 6 weeks by Dave Cormier. It further focuses on what we can learn by observing Twitter interactions particularly. As an explanatory mixed research design, Social Network Analysis and content analysis were employed for the purposes of the research. SNA is used at the macro, meso and micro levels, and content analysis of one week of the MOOC was conducted using the Community of Inquiry framework. The macro level analysis demonstrates that communities in a rhizomatic connectivist networks have chaotic relationships with other communities in different dimensions (clarified by use of hashtags of concurrent, past and future events). A key finding at the meso level was that as #rhizo15 progressed and number of active participants decreased, interaction increased in overall network. The micro level analysis further reveals that, though completely online, the nature of open online ecosystems are very convenient to facilitate the formation of community. The content analysis of week 3 tweets demonstrated that cognitive presence was the most frequently observed, while teaching presence (teaching behaviors of both facilitator and participants) was the lowest. This research recognizes the limitations of looking only at Twitter when #rhizo15 conversations occurred over multiple platforms frequented by overlapping but not identical groups of people. However, it provides a valuable partial perspective at the macro meso and micro levels that contribute to our understanding of community-building in cMOOCs

    Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods

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    Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the imaginations of many, attracting significant media attention - with The New York Times naming 2012 "The Year of the MOOC." For those engaged in learning analytics and educational data mining, MOOCs have provided an exciting opportunity to develop innovative methodologies that harness big data in education.Comment: Preprint of a chapter to appear in "Data Mining and Learning Analytics: Applications in Educational Research

    Immersive learning research

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    Editorial. Material for the special issue "Immersive Learning Research" of the Journal of Universal Computer Science.Welcome to the Journal of Universal Computer Science (J.UCS) special issue organized by the Immersive Learning Research Network (iLRN) following the 2017 iLRN conference. This issue includes eight papers on the focused topic "Immersive Learning Research", including extended versions of papers presented at iLRN 2017 and articles from the public call for papers.info:eu-repo/semantics/publishedVersio

    A case study of introductory programming with MOOCS

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    Computational thinking has become a crucial skill for the 21st Century learners in all disciplines. Research suggests that the best and fastest approach to understand the concepts of computational thinking is through developing programming skills. However, finding effective and affordable learning environments to introduce programming skills to a massive scale of students remains a challenge. Currently, the unprecedented utilization of MOOCs represent an opportunity to achieve this goal. But, existing introductory programming MOOCs have failed to provide instructionally-sound experience for learners. The purpose of this descriptive research is two-fold: (1) Identify the affordances of fifteen MOOC\u27s platforms that are best suited to design and implement basic programming skills courses based on the community of inquiry (CoI) framework, and (2) Describe and compare how CoI framework-based instructional strategies were implemented in six basic programming skills MOOCs

    MOOCs, openness and changing educator practices: an Activity Theory case study

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    The practices and perceptions of educators formed through the creation and running of a Massive Open Online Course (MOOC) provide a case study of how educators understandings of ‘openness’ change (Beetham et al 2012, p 3). We are interested in how educators engage with open education resources (OER) and openness as part of developing open online courses, and how this informs their practices and attitudes afterwards. Deepening understandings of these changes is important for informing strategies involving helping educators in adopting productive open educational practices. Our research question is how do educators’ practices change or not change when using - or not using - OER in and as a MOOC? We are interested in whether and why educators adopt open practices in their MOOCs. We employ an Activity Theory (AT) conceptual framework as a heuristic tool to track and thickly describe educators’ practices and perceptions. This frame enables us to locate educators’ practices - in a context of mediating nodes, i.e., tools/artefacts, rules, divisions of labour, and community – as they strive towards and consider their object. The object upon which the educators act is the development of a new interdisciplinary field. We focus on the role of two mediating artefacts introduced into the activity system, namely Creative Commons (CC) licenses and the ‘MOOC design’. We describe how the open aspect of these artefacts mediate and affect educator’s perceptions, attitudes and educational practices in the context of their object-directed activity system. We draw predominantly on semi-structured interviews with the MOOC lead educators and the MOOC learning designers. Interviews were conducted at two time intervals, before and after the MOOC has run. From this we craft two activity systems. We have categorised our findings according to Beetham et al’s dimensions of open practices. Further, two broad themes emerged from the data analysis. These are Affordances of the MOOC and Reflection on educational practice
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