even after
they have been pointed out to us. Instead, ‘we insist
that they’re objectively valid renderings of reality,
the facts as we know them to be true’.
Professional development programmes need to
provide opportunities for teachers to engage in critical
reflection about the ML they teach, about its
purpose, how they teach it, and why they teach it in
the way they do. We now briefly consider two
ACE programmes that were offered in KZN Province,
as an example of programmes run in the
past. Data and findings from existing studies are
highlighted to identify issues of future concern.
The past
This section reports on lessons learnt from two ML
professional development programmes run by two
universities in KZN Province, using data that
emerged from related studies about these ACEs.
We also refer to data from interviews that were
analysed in two Master’s dissertations by Brijlal
(2014) and Thembela (2013). Interviews with
Teachers 1 to 7 appear in Brijlal’s study (2014),
while interviews with ML teachers 8 to 10 appear
in Thembela’s study (2013). We use the shorthand
T8, for example, to represent Teacher 8.
The two ACEs that were delivered in KZN
were structured differently. Both qualifications
consisted of 120 credits at NQF level 6. The
cascade model was utilised in both universities,
where university lecturers trained tutors who in
turn went out into the field to train teachers either
on Saturdays or in block sessions during holidays.
As the teachers had been identified by the DoE,
most of them were teachers of subjects that were in
the process of being discontinued. The teachers’
mathematics skills were, on the whole, not strong.
Some teachers felt that a stronger background in
mathematics content would have facilitated their
understanding of ML. In Thembela’s (2013) study,
one teacher described her experience of realising
the importance of a concept in Shape and Space:
I asked him ‘what is a prism’ and I don’t know if
he was shocked by me asking […] I didn’t
understand it, I didn’t do maths at school […]. It
made me study more of Shape and space [because]
it was the one subject that was difficult for me. I
didn’t know these volumes – [in] what [way] and
how am I going to explain to the kids what […]
those things [are] so concerning the tiling, which
relates to the real life, [or] the volume of […] for
instance a can of coke, how much liquid must be in
there […] that was the new thing I learnt, it helped
me a lot (T9: Thembela, 2013).
even afterthey have been pointed out to us. Instead, ‘we insistthat they’re objectively valid renderings of reality,the facts as we know them to be true’.Professional development programmes need toprovide opportunities for teachers to engage in criticalreflection about the ML they teach, about itspurpose, how they teach it, and why they teach it inthe way they do. We now briefly consider twoACE programmes that were offered in KZN Province,as an example of programmes run in thepast. Data and findings from existing studies arehighlighted to identify issues of future concern.The pastThis section reports on lessons learnt from two MLprofessional development programmes run by twouniversities in KZN Province, using data thatemerged from related studies about these ACEs.We also refer to data from interviews that wereanalysed in two Master’s dissertations by Brijlal(2014) and Thembela (2013). Interviews withTeachers 1 to 7 appear in Brijlal’s study (2014),while interviews with ML teachers 8 to 10 appearin Thembela’s study (2013). We use the shorthandT8, for example, to represent Teacher 8.The two ACEs that were delivered in KZNwere structured differently. Both qualificationsconsisted of 120 credits at NQF level 6. Thecascade model was utilised in both universities,where university lecturers trained tutors who inturn went out into the field to train teachers eitheron Saturdays or in block sessions during holidays.As the teachers had been identified by the DoE,most of them were teachers of subjects that were inthe process of being discontinued. The teachers’mathematics skills were, on the whole, not strong.Some teachers felt that a stronger background inmathematics content would have facilitated theirunderstanding of ML. In Thembela’s (2013) study,one teacher described her experience of realisingthe importance of a concept in Shape and Space:I asked him ‘what is a prism’ and I don’t know ifhe was shocked by me asking […] I didn’tunderstand it, I didn’t do maths at school […]. Itmade me study more of Shape and space [because]it was the one subject that was difficult for me. Ididn’t know these volumes – [in] what [way] andhow am I going to explain to the kids what […]those things [are] so concerning the tiling, whichrelates to the real life, [or] the volume of […] forinstance a can of coke, how much liquid must be inthere […] that was the new thing I learnt, it helpedme a lot (T9: Thembela, 2013).
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