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Use of a centralised Student Counselling database towards positive student growth in Higher Education. By D L de la Harpe & AC de Jager SSCSA, Vanderbijlpark,17 – 21 September 2007. Traditions: “the keeping of stats”. Traditions: “the keeping of stats”. Vista. George. PET-Main. PET-College.
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Use of a centralised Student Counselling database towards positive student growth in Higher Education By D L de la Harpe & AC de Jager SSCSA, Vanderbijlpark,17 – 21 September 2007
Traditions: “the keeping of stats” Vista George PET-Main PET-College UPE
Mechanisms: data collection & reporting • Manual • Computerised
Limitations • In-house client descriptions • One data source • Individual counselling • Tedious hours of manual data collation • Done irregularly on an ad hoc basis • Relative simplicity of results obtained • = process evaluation data
The need Smarter Faster More comprehensive research
Why? Outdatedapplication Slowed data access / response times (due to advanced queries on large datasets) Cumbersome to maintain Inadequate report structure / options No ability to track student success rates
Why? Increased pressure to provide systematic feedback Changes to the counsellor workload profile Increased emphasis on (1) focused intervention & (2) critical and formal evaluation
What? Ukubamba
Ukubamba • A systematic and centralised database • Demonstrate reach • Create profiles of clients seen • Generate needs assessment data • Generate reports which can empower staff in discussions with stakeholders • Facilitates research: • Impact evaluation - interventions • Outcome evaluation - retention and throughput
Sequel Server backend (database) System administrator functionality to maintain drop -down lists High security level = access controlled MS Access front end (for capturing and reporting) Main characteristics
Institutional requirements (1) Hardware & Hosting (2) Backups, recovery & clean-ups (3) Link – Institutional DB
Capturing • Capture screens (indiv, group, workload – LEC imported) Cater for simultaneous data capturing across campuses Record client per session instead of per campus Use of ID number to track prospective students Cater for data capturers with physical disabilities
Reporting • Report screens (indiv, group, workload, LEC) Drill down functionality • Export to word • & excel + PDF • Multiple reasons for • referral per session Track changes in the reason for referral
So what …applications? • Campus profiles = needs assessment data • Smaller campuses = restricted capacity (x1) – ease of collation and reporting • HEADS management team = positioning of services & programmes / motivation for additional resources • Faculty reports (FMC meetings - cascaded to grassroots staff) = positioning of services & programmes / increased support from academic staff • Student services • Financial Aid – NSFAS students • HIV/AIDS Unit • Students and outside agencies • Rape • Suicide • Needs assessment profiles to referral sources • Engineering - exclusions • Extended Programme - Missionvale