#LTHEchat 243: Self exclusion – through digital inequalities

Other


Turner, S., Ward, G. and Elliott, C. 2022. #LTHEchat 243: Self exclusion – through digital inequalities. LTHEchat.
AuthorsTurner, S., Ward, G. and Elliott, C.
Abstract

In many respects this tweetchat follows on from the fantastic discussion #LTHEchat 238: Digital Inequality led by Puiyin Wong @Puiyin, 15th June 2022. During this discussion we discovered that the three of us had made the same worrying observation during the pandemic. When we had to go online quickly one of the reasons we found students were sometimes not engaging was due to equipment at home; but there appeared to be unwillingness to admit to this. Post-pandemic, we still see some students choosing to self-exclude from technology enhanced learning activities rather than declare digital inequality issues. After some discussion we realised that we didn’t know the answer (or even a partial solution) to addressing this and therefore we are interested in insights from the community. Is this a pattern seen elsewhere? What can we do?

During this week’s tweetchat we will try and explore why this behaviour arises. Is it driven by the assumption that all students have access to the equipment and workspace both on campus and at home (and is this assumption correct)? Why might students choose not to be open about their challenges caused by digital inequalities (e.g. doing everything on a phone or poor wifi) and how this may lead to self-exclusion from their learning? Is this going to get worse in the short-term due to the cost of living crisis and in the longer term due to new technology such as Virtual Reality (VR) and Augmented Reality (AR) being used in learning?

How do we avoid increasing the digital divide between those who can buy kits for home and those that can’t? What can we do to mitigate this? Do these technology based approaches throw up accessibility issues, not just digital inequality?

Finally, is there anything that can be learned from previous leaps in technologies introduced into teaching pedagogy, for example the introduction and use of the internet, VLEs and associated software applications?

KeywordsDigital inequality; Students; Digital divide; Twitter
Year2022
PublisherLTHEchat
Official URLhttps://lthechat.com/2022/10/10/lthechat-243-self-exclusion-through-digital-inequalities-led-by-christina-elliott-dr_cl_elliott-with-scottturneruon-and-gamergazz-wed-12th-october-8pm-uk/
Related URLhttps://wakelet.com/wake/o9IshPzJb-5f5QeydaW4O
Publication process dates
Deposited17 Oct 2022
Learning levelPostgraduate
Task purpose

Facilitated invited chat around digital inequalities. Part of weekly programme LTHEChat on twitter around Teaching and Learning in Higher Education.

Permalink -

https://repository.canterbury.ac.uk/item/92x53/-lthechat-243-self-exclusion-through-digital-inequalities

  • 12
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

An intelligent routing approach for multimedia traffic transmission over SDN
Turner, S., Al Jameel, M., Kanakis, T., Al-Sherbaz, A. and Bhaya, W. 2023. An intelligent routing approach for multimedia traffic transmission over SDN.
Why should everybody learn Artificial Intelligence?
Turner, S. and Souag, A. 2022. Why should everybody learn Artificial Intelligence? ETD blog, Canterbury Christ church University
Driver drowsiness detection using Gray Wolf Optimizer based on voice recognition
Sasim, S. S., Hassan, A. K. A. and Turner, S. 2022. Driver drowsiness detection using Gray Wolf Optimizer based on voice recognition. Aro - The Scientific Journal of Koya University. 10 (2), pp. 142-151. https://doi.org/10.14500/aro.11000
Games outside of games
Ward, G. 2022. Games outside of games.
Practical ways to analyse Twitter data (quantitative and qualitative)
Turner, S. and Kelly, O. 2022. Practical ways to analyse Twitter data (quantitative and qualitative).
The future of virtual reality
Ward, G. 2022. The future of virtual reality.
A reinforcement learning-based routing for real-time multimedia traffic transmission over software-defined networking
Al Jameel, M., Kanakis, T., Turner, S., Al-Sherbaz, A. and Bhaya, W. 2022. A reinforcement learning-based routing for real-time multimedia traffic transmission over software-defined networking. Electronics. 11 (15), p. e2441. https://doi.org/10.3390/electronics11152441
Why CES 2022 is more than about colour changing cars and wi-fi charging remotes.
Ward, G. and Pitt, C. 2022. Why CES 2022 is more than about colour changing cars and wi-fi charging remotes. Canterbury Christ Church University.
Driver drowsiness detection using Gray Wolf Optimizer based on face and eye tracking
Jasim, S., Abdul Hassan, AK and Turner, S. 2022. Driver drowsiness detection using Gray Wolf Optimizer based on face and eye tracking. Aro - The Scientific Journal of Koya University. 10 (1), pp. 49-56. https://doi.org/10.14500/aro.10928
Deep learning approach for real-time video streaming traffic classification
Jameel, Mohammed Al, Turner, Scott, Kanakis, Triantafyllos, Al-Sherbaz, Ali and Bhaya, Wesam S. 2022. Deep learning approach for real-time video streaming traffic classification. in: 2022 International Conference on Computer Science and Software Engineering (CSASE) IEEE.
#SocMedHE more than a conference
Turner, S. 2021. #SocMedHE more than a conference.
Referencing within code in software engineering education
Turner, S. and Hill, G 2021. Referencing within code in software engineering education. National Repository of Teaching and Learning. https://doi.org/10.25416/NTR.14907891.v1
Free augmented reality
Turner, S. 2021. Free augmented reality. Edge Hill University. https://doi.org/10.25416/NTR.13622918.v1
Why everyone should learn a bit about Machine Learning
Turner, S. 2020. Why everyone should learn a bit about Machine Learning.
Using digital technologies to provide a sense of normality
Ward, G. 2020. Using digital technologies to provide a sense of normality.