Wednesday, November 27, 2024
Design Exercies Game Participants Needed
Tuesday, November 26, 2024
Loyalty Tax on Academic Staff
There are frequent expression of concern and even despair on social media, from casual academic staff at universities who feel taken for granted. They don't have high or secure pay, and feel they are not consulted. The usual solution put forward is collective action to force management to improve conditions. However I usually respond by suggesting they ensure they have employment options outside academia, & encourage their research students to do likewise. Some academics find this offensive: of course they know they could get a job elsewhere but they love working in academia, or their field is not one in demand elsewhere. But I suggest they need to consider if they are paying the loyalty tax.
Well known in the services industry, the loyalty tax is where customers keep their account with the same supplier, year after year. The customer may be told they will receive discounts for loyalty, but instead the supplier knows they can put up prices and reduce service. Occasionally I will hear an academic complaining about being treated badly by their employer after many years of loyal service. But if the employer know the staff member will not quit, there is no reason to provide good conditions.
It occurred to me academics are paying a loyalty tax. I thought I might write a paper about it, but found many had done so years before:
"The gratitude or loyalty tax describes the expectation that URMM faculty forgo promotion or advancement at other institutions out of a sense of obligation to their current institution [8]. In addition to preventing URMM faculty from achieving career advancement, this may cause the URMM faculty member to experience unhappiness, low work performance, and low work satisfaction." Campbell, Hudson, Tumin, pp.202–206, 2020).
"Lois Defleut used the phrase "loyalty tax" to describe the cost incurred by the faculty who remain at the same university for many years (Blum, 1989). As discussed by Botsch and Folsom (1989), this built-in loyalty tax penalty will be the greatest in the academic fields with the highest demand for faculty." (Fraas, p. 3,1993).
'In fact the phenomenon of salary compression is often referred to as a "loyalty tax".' (Barbezat, p. 761, 2004).
References
Campbell, K.M., Hudson, B.D. & Tumin, D. Releasing the Net to Promote Minority Faculty Success in Academic Medicine. J. Racial and Ethnic Health Disparities 7, 202–206 (2020). https://doi.org/10.1007/s40615-020-00703-z
Fraas, J. W. (1993). A Faculty Consistency Pay Program. ERIC Number: ED362108 https://eric.ed.gov/?id=ED362108
Thursday, November 21, 2024
Talked on Radio 3AW Melbourne about Y2038 Problem
Had a call from 3AW breakfast Melbourne this morning about a Year 2038 Problem.
Tuesday, November 19, 2024
Guiding Aircraft Globally from Canberra
Best of ASCILITE 2024
I have booked to attend the ASCILITE 2024 computers and education conference at the University of Melbourne, 1 to 4 December (being a joint author on one paper). But conferences with multiple streams can be a bewildering experience, so I like to do a best of, in advance. Here are my picks:
Sunday December 1, 2024 09:00
Third Space Symposium: Working well in tertiary education
Dark Green Room B101 (512 capacity) - 2.12.24 December 2, 2024 15:30
David Parsons et al - What does the Ideal Postgraduate Micro-Credential Look Like? A Student Perspective
Pink Room 153 (150 capacity) - 2.12.24 December 2, 2024 11:00
Ekaterina Pechenkina - Navigating the complex terrain of online professional learning
December 2, 2024 12:00
Taneile Kitchingman et al - Implementing an interactive oral task to assess undergraduate psychology students’ attainment of pre-professional competencies
December 2, 2024 15:30
Amanda Samson et al - From Campus to Career: Leveraging Technology to Improve Work Readiness and Industry Engagement
White Room 453 (60 capacity) - 2.12.24 December 2, 2024 14:10
Mehrasa Alizadeh et al - Investigating the impact of online learning platforms on student engagement and learning outcomes: Comparing Zoom with VR
Light Blue Room 253 Tuesday 3rd December
11:00 - 12:00 Scaling-up technology-enhanced authentic learning across a university-wide curriculum innovation program Presented by Elisa Bone
Dark Blue Room 456
14:10 - 14:30 Navigating the terrain of academic publishing in educational technology Presented by Linda Corrin et al
Wednesday 4th December Light Blue Room 253
Monday, November 18, 2024
Australian Universities Need to Prepare for Post-pandemic Risks
This morning I voted not to freeze Australian National University staff pay. This proposal, formally called "Pay Variation to The Australian National University Enterprise Agreement 2023-2026", was put to staff by the management of the university in response to financial difficulties. I have every confidence the new Vice Chancellor can make changes to improve the university's financial situation, in circumstances not of their making, while meeting commitments to staff. But there will need to be changes to the way education is delivered to meet coming challenges.
A decade before the COVID-19 pandemic, the then ANU VC strongly suggested staff learn to teach better. So I set about learning how to teach students at a research intensive university using modern technology. One issue I identified in my studies was the need to be ready to teach online in the event students were unable to get to campus due to a regional crisis. Having investigated this topic at three universities, I urged Australian universities to put in place contingencies, as had been done at other universities in our region. I was able to help ANU, but unfortunately, Australian universities mostly chose not to follow the example of their regional counterparts, and were less than prepared for a foreseeable and foreseen crisis. University staff did the best they could under difficult circumstances, but not as well as they could have done with proper planning.
Australian universities face ongoing challenges, from international competition, new technologies, a deteriorating international strategic situation, climate change and potential economic shocks. Having failed to prepare for a pandemic has proven to be a poor strategy, as will failing to prepare for these other foreseeable contingencies. In my submission to the Higher Education Review I set out some approaches which could be applied. Recently I visited Singapore institutions, seeing the way they very effectively integrate vocational education.
Friday, November 8, 2024
Ngee Ann Polytechnic
Next on the EduTech Asia 2024 tour of Singapore higher education is Ngee Ann Polytechnic. We are in the Optometry Centre. This is a fully functional centre open to the public and staffed by students.
The polytechnic
features digital automated eye test equipment as well as traditional analogue tools in their space.
Temasek Polytechnic Singapore
Greetings from Temasek Polytechnic in Singapore. The closest equivalent in Australia would be a large TAFE, such as Canberra Institute of Technology. This is part of the EduTech Asia 2024 conference. We are in the T P Interactive Digital Experiments with AI Studio (IDEAS). This has a false floor, similar to a computer room, allowing easy recalling. There is a theatre style framework to attach screens, lights, & sensors. Students projects using augmented reality are on display.
Thursday, November 7, 2024
E-waste not a major challenge with generativeAI
Wang, Chen, Zhang, Tzachor (2024) suggest that the demand for generative AI will create an e-waste problem of 1.2 to 5.0 million tons for 2020 to 2030. They also suggest this could be made worse by political restriction on access to more advanced efficient chips and rapid replacement of old hardware. I suggest the problem is not that large and energy use will remain a larger problem than e-waste.
One aspect the authors do not mention is the lack of price signals between server providers and the end user with current generative AI services. This is likely to be self correcting. Currently demand for generative AI is being generated by offering of free services to the public. As the user is not paying for the service and there is therefore no built in fee for responsible disposal of created e-waste, there may be a later problem. Some speculative AI ventures are likely to become bankrupt leaving a toxic legacy (similar to the mountains of scraped e-bikes left by failed startups). However, as users come to rely on Generative AI services, vendors will introduce charges, which can cover e-waste costs.
Currently generative AI server farms are using generic Graphic Processor Unit chips. These are the same chips used for cryptocurrency server farms. The environmental issues are similar with both. There have been articles about AI consuming as much power as small countries (just as there were for crypto). However, there is more of a mainstream use for AI, which will allow for better long term regulation of environmental effects. With its abundance of renewable energy sources and a stable regulatory environment, Australia could provide a popular location for AI centers. This would allow a small query to be sent across the world and answer sent back, effectively embedding the renewable energy in the answer.
There may also be scope for reuse of older, slower, more energy using AI chips in locations with abundant renewable energy. As more efficient chips were installed close to the user in high energy cost countries, the old hips would be installed further away. Rather than store energy in batteries to run these chips, it may be cheaper to shut them down when the sun isn't shining & the wind isn't blowing. How to do this is something engineers and computer professionals can learn to optimize with specialist training (Worthington, 2012).
Reference
Wang, P., Zhang, LY., Tzachor, A. et al. E-waste challenges of generative artificial intelligence. Nat Comput Sci (2024). https://doi.org/10.1038/s43588-024-00712-6
Worthington, T. (2012, July). A Green computing professional education course online: Designing and delivering a course in ICT sustainability using Internet and eBooks. In 2012 7th International Conference on Computer Science & Education (ICCSE) (pp. 263-266). IEEE. https://doi.org/10.1109/ICCSE.2012.6295070
Wednesday, November 6, 2024
Silent Disco at EduTech Asia
- Guide for students: best practice when using Generative AI, ANU 2024
- Artificial Intelligence including generative AI, ANU Library Guide, 2024
- Generative AI and data governance, ANU guide for staff
- ChatGPT and other forms of generative AI, statement from Professor Maryanne Dever, Pro Vice-Chancellor (Education and Digital), 2 May 2023
- AI in Academia: Where does ANU stand with ChatGPT?, Woroni (ANU Student Newspaper), 15.6.2024
- AI for learning and assessment, powerpoint presentation for students, 2024
Tuesday, November 5, 2024
Observation for Learning
Professor Hazel Melanie Ramos, Nottingham University |