Massive open online course completion rates revisited: Assessment, length and attrition

This analysis is based upon enrolment and completion data collected for a total of 221 Massive Open Online Courses (MOOCs). It extends previously reported work (Jordan, 2014) with an expanded dataset; the original work is extended to include a multiple regression analysis of factors that affect completion rates and analysis of attrition rates during courses. Completion rates (defined as the percentage of enrolled students who completed the course) vary from 0.7% to 52.1%, with a median value of 12.6%. Since their inception, enrolments on MOOCs have fallen while completion rates have increased. Completion rates vary significantly according to course length (longer courses having lower completion rates), start date (more recent courses having higher percentage completion) and assessment type (courses using auto grading only having higher completion rates). For a sub-sample of courses where rates of active use and assessment submission across the course are available, the first and second weeks appear to be critical in achieving student engagement, after which the proportion of active students and those submitting assessments levels out, with less than 3% difference between them

Academics’ online connections: Characterising the structure of personal networks on academic social networking sites and Twitter

Academic social networking sites (SNS), such as Academia.edu and ResearchGate, seek to bring the benefits of online social networking to academics' professional lives. Online academic social networking offers the potential to revolutionise academic publishing, foster novel collaborations, and empower academics to develop their professional identities online. However, the role that such sites play in relation to academic practice and other social media is not well understood at present. Arguably, the defining characteristic of academic social networking sites is the connections formed between profiles (in contrast to the traditional static academic homepage, for example). The social network of connections fostered by SNSs occupies an interesting space in relation to online identity, being both an attribute of an individual and shaped by the social context they are embedded within. As such, personal network structures may reflect an expression of identity (as "public displays of connection" (Donath & boyd, 2004) or "relational self portraits[s]" (Hogan & Wellman, 2014)), while social capital has been linked to network structures (Crossley et al., 2015). Network structure may therefore have implications for the types of roles that a network can play in professional life. What types of network structures are being fostered by academic SNS and how do they relate to academics' development of an online identity? This presentation will discuss findings from a project which has used a mixed-methods social network analysis approach to analyse academics' personal networks online. The personal networks of 55 academics (sampled from survey participants, to reflect a range of disciplines and job positions) on both one academic SNS (either Academia.edu or ResearchGate) and Twitter were collected and analysed. Differences in network structure emerged according to platform, with Twitter networks being larger and less dense, while academic SNS networks were smaller and more highly clustered. There were differences between academic SNS and Twitter in the brokerage positions occupied by the participant. The results are discussed in relation to other salient studies relating network structure in online social networks to social capital, and implications for academic practice. Future work, including co-interpretive interviews to explore the significance of network structures with participants, is introduced

From crowdsourcing data to network building: Reflections on conducting research in the open

This commentary presents an account of a recent project as an example of engaged research. The project focused upon collecting and analysing the completion rates of Massive Open Online Courses (MOOCs). It began informally, through blogging, and developed into a funded research project and formal academic outputs. In addition to its formal outputs, the project is also cited as an example of the benefits of conducting an ‘open’ research project. This reflective piece will tell the story of the project, and lessons learned about the value of openness and the interplay of different social media tools in the research process

Openness and education: a beginner’s guide

While recent high-profile developments such as Massive Open Online Courses (MOOCs) have placed renewed emphasis on the idea of openness in education, different notions of open in relation to education can be found dating back to the 1960s. This document builds on recent research undertaken to trace this history, acknowledging that there is no single root of ‘open’ in this context, but to map the different ways of thinking about open education that have come to bear on the field we see today. Mapping of themes across time aims to provides those new to the field with a useful overview of the history and introduction to the concept of openness, and ways to explore the literature further. Each section of this document will summarise the nature of one of the themes, and its relationship to the broader network. Additionally, the document provides an annotated bibliography, through summaries of five of the most influential publications across a range of perspectives in each theme

Communication, collaboration and identity: factor analysis of academics’ perceptions of online networking

Since the advent of online social networking sites, much has been written about their potential for transforming academia, as communication and collaboration underpin many scholarly activities. However, the extent to which these benefits are being realised in practice is unclear. As the uptake of tools by academics continues to grow, there is a question as to whether differences exist in their use and if any patterns or underlying factors are at play. This article presents the results of an online survey addressing this gap. A disciplinary divide was evident in terms of preferred academic social networking platforms, while perceptions about how academics use online networking for different purposes are linked to job position. Exploratory factor analysis identified four components representing different strategies used by academics in their approaches to online networking, including maintaining a personal learning network, promoting the professional self, seeking and promoting publications, and advancing careers

Reshaping Academic Practice and Relationships within the Department Of Plant Sciences

At the University of Cambridge, a research and development project concerned with teaching and learning in small-group tutorials has been initiated in Department of Plant Sciences. Known as the Plant Sciences Pedagogy Project, it is part of the Teaching for Learning Network (TfLN), which includes members of the Centre for Applied Research into Educational Technologies (CARET), the Department of Engineering and the Faculty of Classics. Provision of small-group tutorials plays a key role in teaching support for students at the University of Cambridge. However, variation in student experience of tutorial quality was raised as a point of concern in a recent student survey (Cambridge University Students’ Union, 2004). Our research therefore focussed on analysis of the tutorial environment with the aim of finding out how best to support our teaching staff and to influence changes in teaching and learning practices within the Department. The Plant Sciences Pedagogy Project used a number of qualitative and quantitative educational research methods in order to identify key plant sciences specific teaching and learning issues. These methods included practice-value questionnaires, self-efficacy questionnaires, supervision video analysis, student focus groups and supervisor interviews, which were implemented over the course of two academic years. The research findings were used to inform the development of a number of new learning resources which were provided for students within a virtual learning environment (VLE), or in collaborative workshops. The impact of the implementation of these new resources was assessed in order to inform research and development for the next academic year. In this paper, we describe the development of the research conducted in the Department of Plant Sciences and also chart the involvement of embedded researchers in the formation of the TfLN. The research structure is initially described in association with action research methodology but it is argued that the format has developed throughout the formation of TfLN so that it is best aligned with theories of social network analysis (Granovetter, 1973). This paper uses the theoretical perspective of brokerage between communities of practice (Burt, 2005; Wenger, 1998) to describe the role that plant science researchers have played in conducting research concerned with initiating changes in teaching and learning practices and also the subsequent coconfiguration of the TfLN research community. Burt’s (2005) four levels of brokerage are used to structure the discussion of these research processes, and the boundary crossing objects that have been used to support brokerage activities are described

Exploring co-studied Massive Open Online Course Subjects via social network analysis

Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’

From Social Networks to Publishing Platforms: A Review of the History and Scholarship of Academic Social Network Sites

Social network sites enable people to easily connect to and communicate with others. Following the success of generic platforms such as Facebook, a variety of online services launched during the mid 2000s in order to bring the benefits of online social networking to an academic audience. However, it is not clear whether these academic social network sites (ASNS) are primarily aligned with social networking or alternative publishing, and functionalities continue to change. Now ten years since the launch of the three main platforms which currently lead the market (Academia.edu, ResearchGate, and Mendeley), it is timely to review how and why ASNS are used. This paper discusses the history and definition of ASNS, before providing a comprehensive review of the empirical research related to ASNS to-date. Five main themes within the research literature are identified, including: the relationship of the platforms to Open Access publishing; metrics; interactions with others through the platforms; platform demographics and social structure; and user perspectives. Discussing the themes in the research both provides academics with a greater understanding of what ASNS can do and their limitations, and identifies gaps in the literature which would be valuable to explore in future research

Applying Semantic Web Technologies to Support Learners in Plant Identification and Taxonomy

This paper describes a novel application of semantic web technologies to support undergraduate students’ learning in Plant Sciences. The pedagogical context focuses upon a field trip, seeking to enhance students’ familiarity with plant species they will encounter in the field and making links to over-arching concepts in the wider taught course. Semantic web technologies were selected as a potential match to support this learning context because of the well-defined plant taxonomy underpinning plant classification. The paper will conclude with reflections on the affordances, challenges and issues surfaced by this approach and its alignment with pedagogical theories

Initial trends in enrolment and completion of massive open online courses

The past two years have seen rapid development of massive open online courses (MOOCs) with the rise of a number of MOOC platforms. The scale of enrolment and participation in the earliest mainstream MOOC courses has garnered a good deal of media attention. However, data about how the enrolment and completion figures have changed since the early courses is not consistently released. This paper seeks to draw together the data that has found its way into the public domain in order to explore factors affecting enrolment and completion. The average MOOC course is found to enroll around 43,000 students, 6.5% of whom complete the course. Enrolment numbers are decreasing over time and are positively correlated with course length. Completion rates are consistent across time, university rank, and total enrolment, but negatively correlated with course length. This study provides a more detailed view of trends in enrolment and completion than was available previously, and a more accurate view of how the MOOC field is developing