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 First Annual Tutoring and Tutor Practices Symposium


Towards Quality Tutoring at UWC:  Sustainable and Inclusive Best Practices in Monitoring & Evaluation of Tutor Programmes


In mid-year 2016 the UWC STARS (Student Tutoring for Academic Retention & Success) programme was incepted to enhance tutor programmes and practices across the institution. The purpose of the tutor enhancement programme is to increase undergraduate student retention and success by providing an “engaging” tutoring programme that delivers quality tutoring in a collaborative and caring environment.

The annual symposium series is an integral component of UWC STARS programme, with the following objectives: 

  1. To promote sharing and cross-learning of M&E best practices among UWC academics.

  2. To strengthen the capacity of UWC’s tutor enhancement programme to enhance efficiency and effectiveness through shared learning of what works and what does not work.

  3. To develop a sustainable plan for documenting M&E best practices among all faculties and units of UWC.

  4. To encourage the UWC community to share the processes and results of their activities through conferences and journal publications.



Towards Quality Tutoring at UWC:  Sustainable and Inclusive Best Practices in Monitoring & Evaluation of Tutor Programmes


Monitoring and Evaluation

Monitoring and Evaluation (M&E) is a process which generates critical information for policy makers, programme managers and implementers to improve programme performance, allocate resources and improve accountability.   To continually enhance the performance of the tutor enhancement programme, it is important that M&E practices are documented; best practices identified and shared learning encouraged across different programmes and projects.



Sub-Theme 1: Planning and coordination 

Objective:  To share experiences on approaches for achieving coordination of M&E activities


Sub-Theme 2: Data collection and use 

Objective:  To share experiences on strategies that work to promote utilization of data for decision making. Areas of focus

  • Evidence of data use for decision making

  • Reporting, dissemination and feedback of data 


Sub Theme 3: Strengthening tutor practise/systems/structures 

Objective:  To share experiences and approaches that has been implemented towards strengthening tutor practices in a faculty/school/centre/unit.


  • Abstract title

  • The title should be descriptive but concise.

  • Avoid subtitles if possible.

  • Write the title in sentence case and only capitalize proper nouns and scientific names where appropriate.

  • Do NOT use abbreviations or acronyms in the abstract title.



  • The abstract should not exceed 500 words. This count includes the subheadings of the structured abstract (Background, Methods, Results, Conclusions), but does not include the title, author list and their addressees or key words.

  • The text should be left aligned.

  • Use font Times New Roman, size 12, 1.5 spacing.

  • Each subheading should be in bold font, and followed by colon.

  • Do NOT include any tables or graphs in the abstract.

  • Avoid abbreviations; where used, mention them in full the first time they appear.

  • Use italics for scientific names.


1. Call for abstracts: 7 September 2017

2. Submission of abstracts: 30 September 2017

3. Review of abstracts: 21 October 2017

4. Notification of acceptance: 28 October 2017

5. Submission of final abstract: 8 November 2017

6. Symposium: 15 November 2017


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