dc.contributor.author |
Van Biljon, Judy
|
|
dc.contributor.author |
Pilkington, Colin
|
|
dc.contributor.author |
Van der Merwe, P.
|
|
dc.contributor.author |
van der merwe
|
|
dc.date.accessioned |
2021-07-16T09:23:16Z |
|
dc.date.available |
2021-07-16T09:23:16Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
van Biljon, J., Pilkington, C. & van der Merwe, R. (2020), ‘Cohort Supervision: Towards a Sustainable Model for Distance Learning? ‘Southern African Computer Lecturers' Association (SACLA) Conference, Alpine Heath Resort, Northern Drakensberg, South Africa, 15-17 July, CCIS Post-Proceedings Book, Springer. ISBN: 978-0-620-85603-4, https://doi.org/10.1007/978-3-030-35629-3_10 |
en |
dc.identifier.isbn |
978-0-620-85603-4 |
|
dc.identifier.uri |
http://hdl.handle.net/10500/27695 |
|
dc.description.abstract |
In response to the challenge of increasing supervision capacity
while at the same time also improving the supervision experience, we
used a design science research approach to guide the design, implementation
and evaluation of a cohort supervision model for master’s students
in computing at an open-distance university. This paper describes the
implementation of a cohort programme in 2018, the findings from data
collected during a focus group with students and supervisors, students’
reflective evaluations at the end of the module, feedback from the supervisors,
and our reflective notes. Our main theoretical contribution is the
cohort model proposed for developing supervision capacity at master’s
level. Our practical contribution is a method for a practical supervision
model for master’s students based on the concepts of co-operative learning
and conversational theory. |
en |
dc.language.iso |
en |
en |
dc.publisher |
Springer Nature Switzerland AG |
en |
dc.subject |
Post-graduate supervision, Group supervision, Cohort supervision, Distance education, Design science |
en |
dc.title |
Cohort Supervision: Towards a Sustainable Model for Distance Learning? |
en |
dc.type |
Article |
en |
dc.description.department |
School of Computing |
en |