Practice does not necessarily make perfect, but understanding the affordances and constraints of our tools helps, as does focus on the task in hand.
Going forward we need to be aware of all the inherent limitations of what AI is and the very human challenges using algorithms and big data. They are human inventions and are embedded in political, economic and social contexts that come with the biases and ideologies. AI can definitely augment our profession and help us become better teachers, but as teachers and students we need to be aware of the context in which this change is playing out. We need to understand it and use it where it will be to the benefit of us all.
The rapid proliferation and deployment of smart mobile, pervasive computing, social and personal technologies is changing the higher education landscape. In this presentation I will argue that new media present new opportunities for learning through digital technologies, but that such opportunities will require new literacies. This is not just my view - it reflects the views of many other commentators including Lea & Jones (2011), Beetham et al (2009) and Lankshear & Knobel(2006). Essentially, the traditional literacies that have dominated higher education in the past are thought to no longer be sufficient in the face of recent changes. I will explore a range of new 'digital literacies and competencies', discuss the concept of 'digital fluency' and highlight some new and emergent pedagogical theories, including connectivism, heutagogy, paralogy and rhizomatic learning, that seek to explain how students are learning in the first part of the 21st Century.
Steve Wheeler is a Learning Innovations Consultant and former Associate Professor of Learning Technologies at the Plymouth Institute of Education where he chaired the Learning Futures group and led the Computing and science education teams. He continues to research into technology supported learning and distance education, with particular emphasis on the pedagogy underlying the use of social media and Web 2.0 technologies, and also has research interests in mobile learning and cybercultures. He has given keynotes to audiences in more than 35 countries and is author of more than 150 scholarly articles, with over 6000 academic citations. An active and prolific edublogger, his blog Learning with 'e'sis a regular online commentary on the social and cultural impact of disruptive technologies, and the application of digital media in education, learning and development. In the last few years it has attracted in excess of 7.5 million unique visitors.
More about Steve Wheeler https://steve-wheeler.net/
Long story short: I’m a realist. Teachers are never going to make a fortune. It’s not fiscally responsible — and the fact of the matter is that we HAVE to be fiscally responsible.
But let’s quit pretending that teachers who are using their voices to draw attention to the sad state of funding in our public schools and to the impact those funding choices are having on kids are bad people trying to fleece America.
There is probably little doubt that the analysis of data will play an increasing role in teacher recruitment. I am sure that among the companies involved in the development of such platforms there are many good people with solid beliefs and values, individuals who will want to see these systems used in conjunction with personal connections, interviews, and relationships. In other words, in very humane ways, using the algorithm as a guide, not a decision-maker, and this is where biometric data may prove initially attractive. The question, of course, with all “data-driven” initiatives lies not so much with the intent or even the veracity of the data collected, but with how it is used. Data can too easily become the decision-making tool of lazy convenience and ends up being used in ways never intended. When I consider my teaching colleagues, I recoil at the prospect of viewing them as data points. Someone needs to shout stop.
when it comes to education, if we’re really interested in quality, we need to shift the conversation. We need to make it more about helping teachers to improve the quality of what goes on in their classrooms, and less about casting them as personally or professionally inadequate in the public space. We need to make it more about teachers’ practices and less about teachers as people. We need to make it more about real, collegial professional learning for improvement and less about trying to regulate our way to quality.
Collaboration is a great term, but I actually prefer the word partnering. Collaboration sounds like working with others while partnering sounds like a long-term investment in a relationship that is mutually beneficial to all.