EDC essay thoughts
TO BE SORTED…
Opacity/opaqueness and the obtuse - accountability and opportunity Dis/utopian dichotomies or dualism In digital education culture Transparency/complexity @evefensome tweet - me: algorithmic compromises (under whose authority and accountability) How account for all actors - human/non human in learning communities 1. algorithms represent the wider opposition to 2. OER movement 3. multimodality - better way to represent knowledge and ideas Remedies - 4. education/awareness (Can digital literacy save us from the ‘anti-human’ machine?) or 5. regulation 6. algor, software, infrastructure go beyond intentions of hum designers (Knox, 2014) 7. Maybe HE students more vulnerable to algorithms in their education as they have more independence, but school students use informal learning practices and communities, as do the teachers who are designing their learning environments dig ped allows for new ways of learning, that makes the 8 knowledge versatile representation & reveals the structure of the argument 9. learning process more visible in some ways (as far as we can rely on digital proxies/ as far as LA designers share) 10. also shapes knowledge creation (LA, web algo) - this is less visible, may even be incomprehensible (Zeynep) 11. can hide authorship through collaboration 12. can mute/amplify voices through algorithms 13. can allow for greater knowledge production - connectivism 14. who is doing the hiding? Power and control > decentralised web? (E-learning 3.0 resources) 15. how sim/dissimilar is this to what has gone before 16. content moderation/ censorship good and bad https://illusionofvolition.com/ 17. breaches the cyber-human world, influences the physical world 17.1 for individuals, 17.2 for society, consumer world and political control 18. why socio-material perspective = imp for critical reflection (explore the assumptions/ things you have to accept see section 4 Knox 2014) 18.1 its difficult to make it visible but possible? • Latour – ‘action – node/knot/conglomerate of surprising sets of agencies – have to be slowly disentangled 18.2 can look at why cyber-culture, community culture (connectivism) didn’t fully explain algorithms, problems with instrumentalism, determinism etc, but also problem has evolved since early web - 2x themes - theory and practice have developed 18.3 cyberology book review tweet “Each resists technological determinism while giving careful attention to the materiality of code and its animation at the hands of user-publics. In their socio-technical analyses, each book also centralizes politics and power” links to point 20 19. Links with other blocks - have to accept new realities of posthumanism - no longer anthropocentric 19.1 do in style of that era - eg scifi comic block 1, chatroom text, block2 20 opportunity for who - knowledge production and sharing, existing institutuions/startups etc (neo lib), the individua, the community, the physical environment 21. At least it is written in code somewhere - does this make it easier to find/ reverse engineer - although some ML no longer understandable? E.g. of law, have a chance to see inside the bias and prejudices of judge’s minds that renders technology passive and invisible (Knox)
-previous focus (Cyber and community) hid tech and underestimated it, algorithmic perspective doesn’t.
-but to what extent? (with focus on ed)
Influence of informal online learning on teachers?
If elections can be ‘hacked’ and voters swayed – are our teachers vulnerable?
Tribal mentality – thread on ideologies?
Focus on MOOCs and formal education – community and algorithms – but what of informal education – can still impact on ‘Education’
e.g. CPD – ResearchED etc, Edutwitter (same thing in other ‘professions’?)
- notions of authorship, agency, visibility, ‘experts’ (quality control)
- who controls teacher development
- communities of teachers?
- algorithms?
- who? How?
- the best CPD? Often portrayed as emancipatory
- can be seen to embody ‘“intelligent content,” and personalization and adaptation’ Siemens
- not addressed with formal LA
- hijacked by politicians? Commercial companies? Celeb teachers?
- what from formal learning analytics and connectivist/ MOOC theories can be applied to informal learning situations?
Choose edutwitter as
- An example of prof dev (post grad ed)
- Concerned with making ed decisions
Or go wider, better researched
Kialo – if there is to be a greater influence in informal learning, OL – need to find a new way to debate outside of Twitter echo chambers and this offers a chance to use a new medium to make the argument more visible, formal, analytical(?), and show the perspectives and analyse them of others
- Drawbacks – a bit dry – could be limiting -could be disengaging/ inaccessible for some
- Support with a crib sheet
Makes some voices very powerful
Almost an imperative to be on social media
FROM READingS
Useful: Haythornthwaite (2002) has more recently explored the impact of media type on the development of social ties.
Blog the research and drafting of the essay for transparency, learning analytical sakes – use some LA techniques
-While this is an academic work and will therefore rely on peer reviewed work as far as possible – the learning process has been influenced, consciously and unconsciously/ visibly and invisibly, known and unknown though many works. (find best adjectives for this)
-inspired by the processes of #mscedc I have kept a blog, live fed by the sources I use during the 2 weeks I write the essay in an effort to reveal the influences, debts to and digital traces
From Wilson
o networked learning (Goodyear 2002; Steeples, Jones, and Goodyear 2002) or
o connectivist theories (Siemens 2005).
· These theories essentially posit that students who are more connected to a (social) network of other learners are more likely to succeed.
· This has led to recent developments incorporating the tools of Social Network Analysis
o (Scott 2012) into learning analytic systems (Badge, Saunders, and Cann 2011; De Laat et al. 2007; Hecking, Ziebarth, and Hoppe 2014; Schreurs et al. 2013; Wise, Zhao, and Hausknecht 2013).
Look at informal learning from these perspectives
Bring in bots?
Use kozinets to identify ALL the members of the ol community and the approaches he describes in his article – e.g. dyad
