Mrs. T. Mukabeta

Qualifications

  • MPhil (Information and Communication Technologies)
  • Bachelor of Science (Honours) Degree in Computer Science
  • Diploma in Applied Information Technology (Software Engineering)
  • Certificate in Applied Information Technology
  • Diploma in E-Commerce and Web Design


 Publications and Conference Papers
  1. Mukabeta, T. Magomelo, M. Chivovo, E. (2017) An Assessment of Opportunities and Challenges of e-Government Implementation in Zimbabwean Cities: Case of Masvingo City. International Journal of Networks and Systems, Volume 6 Issue 6.
  2. Ndumiyana, D. Mukabeta, T. (2016). Backpropagation Learning Algorithms for Email Classification.  International Journal on Computer Science and Engineering (IJCSE)VOL 8 ISSUE 07
  3. Poster Presentation at Educational Technologies and Authentic Learning in Higher Vocational Education Conference 31 August – 3 September 2015. Poster Title: Using Social Media to enhance knowledge sharing in authentic mobile-mediated contexts.
  4. Mukabeta, T. (2014). Using Activity Theory to analyse the use of Podcasts to Facilitate Scaffolding in a Higher Education Setting. Journal of Emerging Trends in Computing and Information Sciences. Vol. 5, No. 2.
  5. Mukabeta, T. Tunjera, N. Magomelo, M. Ndumiyana, D. (2014). Enhancing learning through collaboration in an online discussion forum: Students’ perceptions in a Computer Architecture Course. Greener Journal of Education and Training Studies, Vol 2(1).
  6. Tunjera, N. Mukabeta, T. Zivanai, J. (2013). Increasing Interaction by Integrating Short Messaging Services (Sms) into the Virtual Open and Distant Learning (VODL) Teacher Education Programme: A Case of Bindura University in Zimbabwe. Greener Journal of Educational Research. Vol. 3(4), pp. 191-199.
  7. Mukabeta, T. Tunjera, N. Magomelo, M. (2013) Using Mobile Phones to Encourage Cooperative Learning in an Introduction to Computers Course at Bindura University: A Critical Discourse Analysis Perspective. International Journal of Scientific and Engineering Research Vol 2(3).
  8. Ndumiyana, D., Gotora, R., Mukabeta, T. (2013). Spam Detection using Adaptive Neural Networks: Adaptive Resonance Theory. Online Journal of Physical and Environmental Science Research. Volume 2, Issue 2, pp. 20-27.