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Improving retention: predicting at-risk students by analysing clicking behaviour in a virtual learning environment
Predicting student failure by looking for changes in user's activity in the VLE, when compared against their own previous behaviour, or that of students who can be categorised as having similar learning behaviour is revealed.
Creating an Understanding of Data Literacy for a Data-driven Society
- A. Wolff, D. Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem
- EducationJ. Community Informatics
- 9 August 2016
A definition of data literacy that is focused on using data to understand real world phenomena is proposed, and is proposed to create a common foundation for teaching and learning data literacy skills.
OU Analyse: analysing at-risk students at The Open University
The OU Analyse project aims at providing early prediction of ‘at-risk’ students based on their demographic data and their interaction with Virtual Learning Environment using machine learning methods.
What can analytics contribute to accessibility in e-learning systems and to disabled students' learning?
A comparative analysis of completion rates of disabled and non-disabled students in a large five-year dataset is presented and a wide variation in comparative retention rates is characterized.
Improving retention by identifying and supporting "at-risk" students
Key Takeaways • Without the feedback from face-to-face interactions, lecturers using virtual learning environments may find it difficult to identify and focus on students who are struggling in…
Developing predictive models for early detection of at-risk students on distance learning modules
The latest work conducted at the Open University to identify when is the optimum time to make student interventions and to develop models to identify the at-risk students in this time frame is explored.
Reimagining the role of citizens in smart city projects
This paper outlines the approach to supporting citizens in playing an active role in urban innovation, from the crowdsourcing of initial ideas through to facilitating citizen involvement in the realization of community projects.
Curate and Storyspace: An Ontology and Web-Based Environment for Describing Curatorial Narratives
This work presents curate, an ontology for describing curatorial narratives, which draws on structuralist accounts that distinguish the narrative from the story and plot, and also a detailed analysis of two museum exhibitions and the curatorial processes that contributed to them.
Curation, curation, curation
This paper will argue that for curation to fully support learning, on either side, then the curation site has to allow the content curator to research and tell stories through their selected content and for the consumer to rewrite the story for themselves.
Storyscope: Supporting the authoring and reading of museum stories using online data sources
Preliminary studies indicate the potential of the approach for providing a form of semantic navigation across stories and concepts having a better cognitive fit to story related tasks than existing forms of navigation.