Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students

Past studies have shown that student engagement in Massive Open Online Courses (MOOCs) could be used to identify at-risk students (students with drop-out tendency). Some studies have further considered student diversity by looking into subgroup behavior. Yet, most of them lack consideration of students’ behavioral changes along the course. Towards bridging the gap, this study clusters students based on both their interaction with the system and their characteristics and explores how their cluster membership changes along the course. The result shows that students’ cluster membership changes significantly in the first half of the course and stabilized in the second half of the course. Our findings provide insight into how students may be engaged in learning on MOOC platforms and suggest the improvement of identifying at-risk students based on their temporal data

Digital resilience in higher education

Higher education institutions face a number of opportunities and challenges as the result of the digital revolution. The institutions perform a number of scholarship functions which can be affected by new technologies, and the desire is to retain these functions where appropriate, whilst the form they take may change. Much of the reaction to technological change comes from those with a vested interest in either wholesale change or maintaining the status quo. Taking the resilience metaphor from ecology, the authors propose a framework for analysing an institution’s ability to adapt to digital challenges. This framework is examined at two institutions (the UK Open University and Canada’s Athabasca University) using two current digital challenges, namely Massive Open Online Courses (MOOCs) and Open Access publishing

Quality in MOOCs: Surveying the Terrain

The purpose of this review is to identify quality measures and to highlight some of the tensions surrounding notions of quality, as well as the need for new ways of thinking about and approaching quality in MOOCs. It draws on the literature on both MOOCs and quality in education more generally in order to provide a framework for thinking about quality and the different variables and questions that must be considered when conceptualising quality in MOOCs. The review adopts a relativist approach, positioning quality as a measure for a specific purpose. The review draws upon Biggs’s (1993) 3P model to explore notions and dimensions of quality in relation to MOOCs — presage, process and product variables — which correspond to an input–environment–output model. The review brings together literature examining how quality should be interpreted and assessed in MOOCs at a more general and theoretical level, as well as empirical research studies that explore how these ideas about quality can be operationalised, including the measures and instruments that can be employed. What emerges from the literature are the complexities involved in interpreting and measuring quality in MOOCs and the importance of both context and perspective to discussions of quality

Institutional and Student Transitions Into Enhanced Blended Learning

This presentation provides an overview of the ‘Transitions into blended learning’ project, which has focused on three areas: developing an institutional transition framework, researching student experiences, and identifying interventions to support effective transitions. The framework identified external drivers for blended learning, a set of considerations for institutions, and a set of processes to facilitate change involving three stakeholder groups at the heart of the model. The work included learner experience research with students newly engaged in blended learning. This work identified support needs around access (to technology and learning materials), attitudes (towards learning online) and attributes (skills) needed to engage autonomously in blended learning. The institution-wide Enhancement themes team identified a set of interventions or ‘anchor points’ to prevent the institution ‘drifting back’ into purely traditional approaches to learning and teaching. These included the recognition and promotion of good practice through case studies, development of an institutional e-learning framework, and an event to encourage staff and students to share good practice in blended learning. This three-year project was largely led by a PhD student (JA), working with the principal investigator (VHD) and the institutional representative (KG)