Lecturers across Wits School of Education divisions were largely unfamiliar with the practical realities of OER, open licensing and open pedagogy, despite regularly creating and sharing teaching materials.
Wits School of Education designed and ran a sequenced Train-the-Trainer and Mentoring Programme from 14 May – 28 July 2026, training two champions from each of the seven divisions who would go on to train their own colleagues within the School of Education.
Participants built and maintained their own e-portfolio on Google Sites, while programme resources and materials were housed in the institution's LMS, Ulwazi (Canvas). The programme moved through progressive Adopt, Adapt and Create phases:
- Session 0 grounded participants in the OER lifecycle, the South African policy context and the distinction between open, free and OER, and had them set up their portfolio.
- Session 1 covered Creative Commons licensing and locating OER across repositories such as OER Commons and OER Africa.
- Session 2 introduced open pedagogy and AI-assisted lesson redesign.
- Session 3 focused on adapting and localising OER to South African curriculum requirements, evaluating AI outputs critically for bias and accuracy.
- Session 4 layered on Universal Design for Learning for designing original OER.
- Sessions 5 and 6 carried participants into sharing, licensing, publishing and community of practice, closing with each presenting an implementation strategy for their division.
Structured What, So what, Now what reflections tracked participants’ evolving practice throughout. The early sessions surfaced a form of licensing-related imposter syndrome, where colleagues initially hesitated to revise or remix open content because they did not understand Creative Commons licences well enough to feel confident doing so. Becoming more aware of their own closed practices also made many of them more cautious than before about how they engaged with online resources generally. Although an institutional repository was in place, most lecturers simply did not know it existed, so resources stayed scattered, undocumented and rarely licensed by default. Part of the training's value was making that repository visible and giving lecturers a shared, centralised space to create, collaborate and license their work, something many were only beginning to consider for their own courses and students.
CHALLENGES ALONG THE WAY
Technical friction with Google Sites was constant, participants struggled with page structure, navigation and uploading, which sometimes crowded out the OER content itself. Licensing remained a genuine source of uncertainty throughout, especially around student-authored work and share-alike terms. AI-generated outputs were often context-inappropriate, incorrect language, foreign flags, malformed images, which created a real risk of confusing learners if used uncritically. The digital divide, and limited time between sessions also meant some participants struggled to consolidate learning from one session to the next.
ADVICE FOR TEACHER EDUCATORS
- Let yourself learn from seeing a real example of AI output go wrong, it teaches evaluation better than any guideline.
- Sit with licensing early. That uncertainty resurfaces and pulls attention from the actual teaching work.
- Don't expect one exposure to stick. Build in your own repetition and reflection rather than assuming it consolidates on its own.
IMPACT BEYOND THE ACTIVITY
Each participant's growing e-portfolio is becoming a live record of how OER and open pedagogy are being translated into their own divisions, geography, IT methodology, instructional design and beyond, well past the training room itself. The peer dialogue that formed organically during sessions signals the early emergence of a community of practice around open resources within the School of Education, exactly the kind of sustained, shared identity the programme set out to build. Facilitator-demonstrated adaptations, such as the re-themed, relicensed photosynthesis resource, now exist as reusable models that other lecturers can draw on.
KEY LESSONS
I discovered that starting from a real failure, such as the AI-generated geography poster that looked polished but turned out to be factually inaccurate, taught participants more about evaluation, bias and contextual fit than any abstract principle could. It gave the whole group a shared, concrete reason to care about their outputs, and produced the line that captured the programme's own conclusion better than anything I could have imposed on it, you can never get rid of the teacher.
I was surprised by how quickly rich, experience-led peer dialogue formed, participants mapped ideas onto their own courses unprompted and began troubleshooting each other's technical struggles without being asked. The most important lesson was that skill consolidation cannot be assumed between sessions, the recall gap we saw in Session 2 showed that reflection routines and repetition matter as much as new content. If I started again, I would build in a dedicated, hands-on licensing and uploading session earlier, since that uncertainty kept resurfacing and diverting attention from the pedagogical content each time.
KEY TAKEAWAYS
- The teacher's judgement remains central, technology adapts resources, it does not replace evaluation.
- Community of practice forms fastest around shared, lived teaching experience, not imposed theory.
- Skills need sustained scaffolding across sessions; one exposure is not enough for lasting practice change.
That level of reach is now extending further still, everything that had been housed on the institution's LMS, Ulwazi, is being transferred onto NOTES, moving the individually and privately built work behind the programme into a shared, openly accessible space beyond a single institution. As a doctoral study, this process log and the participants' portfolios are also building an evidence base that can inform how future OER capacity-building programmes are designed, sequenced and supported.
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