Instructors' perception of the competencies required to teach DS in HEI

15 pages•Published: May 1, 2023

Abstract

While data science education may be a solution in democratising data science, there are challenges towards achieving this. One of the challenges is the shortage of qualified academic staff members, who are able to deliver a multidisciplinary curriculum.
Teaching data science is a developing topic and represents a gap in the literature as we embark on the journey of discovering the knowledge required to teach data science. This study aimed to gain insight into instructors’ perceptions on their skills and competencies in teaching data science

Keyphrases: analytics, data science education, pck, pedagogy

In: Hossana Twinomurinzi, Nkosikhona Theoren Msweli, Tendani Mawela and Surendra Thakur (editors). Proceedings of NEMISA Digital Skills Conference 2023: Scaling Data Skills For Multidisciplinary Impact, vol 5, pages 89-103.

Links:	https://easychair.org/publications/paper/MM35
	https://doi.org/10.29007/49zw

BibTeX entry

@inproceedings{DigitalSkills2023:Instructors_perception_competencies_required,
  author    = {Nkosikhona Msweli},
  title     = {Instructors' perception of the competencies required to teach DS in HEI},
  booktitle = {Proceedings of NEMISA Digital Skills Conference 2023: Scaling Data Skills For Multidisciplinary Impact},
  editor    = {Hossana Twinomurinzi and Nkosikhona Theoren Msweli and Tendani Mawela and Surendra Thakur},
  series    = {EPiC Series in Education Science},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2306},
  url       = {/publications/paper/MM35},
  doi       = {10.29007/49zw},
  pages     = {89-103},
  year      = {2023}}

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