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EWS using Sakai
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Early Warning System for Identifying students at risk of
failingRoger Brown
Center for Educational TechnologyUniversity of Cape [email protected]
Overview
PART 1• Why we started looking at
EWS• The functional requirements
of the system• Institutional fit• Matching Vula (Sakai)
affordances to the functional requirements
• Developments that would allow Sakai to act as an EWS (well some of them anyway!)
• How UCT is moving forward
PART 2 - Discussion• Activity and course grade• Your ideas
12th Sakai Conference – Los Angeles, California – June 14-16 2
Part1: Introduction
• In 2009 Senate Re-admission Review Committee recommended that greater attention needed to be given to Faculty EWS.
• The SRRC report recommended that:• the SRRC monitors data from the Faculty EWS with the
aim of assessing and reporting on the impact mid-year exclusions have on throughput rates, and
• Investigate the EWS issue to assess the most effective approach to adopt a single system thereby providing consistency across faculties.
EWS – Functional requirements
• The ability to record a standard number of “in course”results/performance/grade
• The ability to create a current class list of all valid registered students in a course, populate this list with “in course results”, and load these to the students’ PeopleSoft record.
• Specification of an “at risk” threshold value for these results• Recording of comments against a student• Generation of communication to identified students• Retentions of a permanent record of these communications• Specified reporting of student performance
• For a student within a course across all courses• For a specified cohort of students
• Access and authorisations to entry grades, viewing of grades and running of reports, course conveners and/or mentors and/or other “intervention” managers
EWS – Institutional criteria
• Technical Implementation
• Technical Integration
• Usability and User Support Requirements
• Technical Support
• Security and Authorisations
• Student Access
• Overall Reporting Capacity
• Cost (of licensing, implementation and support)
• Vendor and Product Sustainability
EWS Functional requirements and Vula (Sakai 2.7) -Integration
IDvault
PeopleSoft HEDA - Higher Education Data Analyzer Demographic and K12 data (currently used by IPD)
Vula: Affordances vs Requirements
Groups: Easily created and populated
Configurable Roles: Accessand authority
Gradebook
Vula: Affordances vs Requirements
Communication: EmailInternal messageSMS
• Secure• Familiar• Widely accepted by admin/academic staff (2474 staff used Vula in 2010)
Vula: Affordances vs Requirements -Gradebook
1. Import marks from excel
2. Weighting and Categories
3. Integrates with Vula testing tools
Assessing students at risk?
Out of Gradebook Back to My Workspace
Vula: Limitations (currently)
• “At Risk” assessment would need to be done outside Vula
• Not all lecturers/course convenors use Vula
• Vula is not the authoritative source of marks
• Vula does not “push” data to PS
• Staffing
Vula: R&D for EWS application
• Automated Gradebook export to ETL platform or preferably an internal logic
• Internal or external algorithm development for risk analysis
• Auto grouping based on risk analysis
• Reporting communications, display, etc
• Predictive logic based on previous student performance
How UCT is moving forward
The task team recommended in phase 1
• EWS to utilise the functionality of PeopleSoft (some developments required)
• Improve the integration of Sakai and PS
• gradebook export to PS (it’s easier to get grades into GB than into PS )
• Samigo & Asn => GB => PS
12th Sakai Conference – Los Angeles, California – June 14-16 13
Part 2: Vula: Final grade vs all events (PSY1001W)
Your Ideas
12th Sakai Conference – Los Angeles, California – June 14-16 15
?
Predictive modelling
Learning analytics
GB in students’ “My workspace”
Data mining – automating and exposing
Using ETLCommunicating “failure”
A “read only” SU role in Sakai
More than grades only? – is attendance a predictor?