Are you being asked in include Learning Analytics in your Teaching and Learning Strategy? Some resources to help

Learning Analytics appears to be increasingly an emerging area of interest for institutions and I’m aware of a number of staff being asked to contribute on this area in their teaching and learning strategies. I thought it would be useful to spotlight some resources produced by Cetis and Jisc in this area that might help. The list is in no ways exhaustive and if you have any other resources you think worth highlighting either leave a comment or get in touch and I’ll add them to the post.

**New** Ferguson, R. (2013). Learning Analytics for Open and Distance Education. In S. Mishra (Ed.), CEMCA EdTech Notes. New Delhi, India: Commonwealth Educational Media Centre for Asia (CEMCA).
**More New** Society for Learning Analytics Research (SoLAR) has a collection of useful resources including these introductory articles

SoLAR recently ran a open course Strategy & Policy for Systemic Learning Analytics. Something worth looking at might be the recording of the session  Belinda Tynan (OU’s PVC Learning & Teaching) did on Designing Systemic Analytics at The Open University.

**Even Newer** from SoLAR looking more at a national strategy for the learning analytics. Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy for Systems-Level Deployment of Learning Analytics

Highlights from Jisc Cetis Analytics Series include

  • Analytics; what is changing and why does it matter?
    This paper provides a high level overview to the CETIS Analytics Series. The series explores a number of key issues around the potential strategic advantages and insights which the increased attention on, and use of, analytics is bringing to the education sector. It is aimed primarily at managers and early adopters in Further and Higher Education who have a strategic role in developing the use of analytics in the following areas:

    • Whole Institutional Issues,
    • Ethical and Legal Issues,
    • Learning and Teaching,
    • Research Management,
    • Technology and Infrastructure.
  • Analytics for Learning and Teaching
    A broad view is taken of analytics for Learning and Teaching applications in Higher Education. In this we discriminate between learning analytics and academic analytics: uses for learning analytics are concerned with the optimisation of learning and teaching per se, while uses of educational analytics are concerned with optimisation of activities around learning and teaching, for example, student recruitment.
  • Legal, Risk and Ethical Aspects of Analytics in Higher Education
    The collection, processing and retention of data for analytical purposes has become commonplace in modern business, and consequently the associated legal considerations and ethical implications have also grown in importance. Who really owns this information? Who is ultimately responsible for maintaining it? What are the privacy issues and obligations? What practices pose ethical challenges?
    Also of interest the LAK13 on An evaluation of policy frameworks for addressing ethical considerations in learning analytics
  • Institutional Readiness for Analytics
    This briefing paper is written for managers and early adopters in further and higher education who are thinking about how they can build capability in their institution to make better use of data that is held on their IT systems about the organisation and provision of the student experience. It will be of interest to institutions developing plans, those charged with the provision of analytical data, and administrators or academics who wish to use data to inform their decision making. The document identifies the capabilities that individuals and institutions need to initiate, execute, and act upon analytical intelligence
  • Case Study, Acting on Assessment AnalyticsOver the past five years, as part of its overall developments in teaching and learning, The University of Huddersfield has been active in developing new approaches to assessment and feedback methodologies. This has included the implementation of related technologies such as e-submission and marking tools.In this case study Dr Cath Ellis shares with us how her interest in learning analytics began and how she and colleagues are making practical use of assessment data both for student feedback and overall course design processes.
    Aspects of this case study and other work in this area are available in this webinar recording on Learning analytics for assessment and feedback

Examples of Learning Analytic Tools

Taken from Dyckhoff, A. L., et al. “Supporting action research with learning analytics.Proceedings of the Third International Conference on Learning Analytics and Knowledge. ACM, 2013.

  • LOCO-Analyst [1, 4],
  • TADA-Ed [46],
  • Data Model to Ease Analysis and Mining [38],
  • Student Inspector [50],
  • MATEP [56–58],
  • CourseVis [43, 45],
  • GISMO [44],
  • Course Signals [3],
  • Check My Activity [25],
  • Moodog [54, 55],
  • TrAVis [41, 42],
  • Moodle Mining Tool [48],
  • EDM Vis [34],
  • AAT [29],
  • Teacher ADVisor [37],
  • E-learning Web Miner [26],
  • ARGUNAUT [30],
  • Biometricsbased Student Attendance Module [27],
  • CAMera and ZeitgeistDashboard [51, 52],
  • Student Activity Meter [28],
  • Discussion Interaction Analysis System (DIAS) [8–11],
  • CoSyLMSAnalytics [49],
  • Network Visualization Resource and SNAPP [5, 6, 17, 18],
  • i-Bee [47],
  • iHelp [12], and
  • Participation Tool [32]

References for these tools are listed here

Here is a more general set of Analytics Tools and Infrastructure from the Analytics Series

A quick reminder that the Analytics in UK Further and Higher Education Survey is still open.