Group Admins
Description
Session Description
We are living in an age of unprecedented change. Technologies based on Artificial intelligence are altering and adapting the behaviour of our devices, systems and processes to meet our needs better than ever before (Russell & Norvig, 2016). This ‘fourth industrial revolution’ (Younus, 2017) will have a profound change on the way we live our lives and may even change the way our society views education, work and leisure time.
There is much hype around the use of AI, with AI trends and related technologies nearing the top of the Gartner hype cycle (Panetta, 2017) but does the hype match the reality?
What about the future of education and training and the opportunities which machine learning and artificial intelligence (AI) present? In this future-focused workshop, we explore this question, discuss what it means to be human and look at two practical examples where we are prototyping with AI and Machine Learning to personalise the learner experience and adapt education to learner behavior and need. This links to the Participation through Learning Technology theme of the conference as we are working with learners to help personalise their experience.
Participants at the workshop will have the opportunity to test the tools we have produced and reflect on how these might be of use in their own workplace.
Workshop outline:
* Introduction and context setting. What are AI and machine learning? What role do they play? What does it mean to be human? (10 mins including a video and AI image recognition demo)
* How might teaching and learning benefit from the use of AI? (10 mins discussion)
* Example 1: Digital capabilities self-assessment tool and learning resource recommendation/prompts (15 mins – demo and using the tool, plus discussion)
* Example 2: Personality detection and tailored support (15 mins – demo and using the tool, plus discussion)
* What we learned from these prototypes? How did learners react to the personalisation? What are the practical applications and next steps? (10 mins – reflective discussion)
Session content: evaluation and reflection
The workshop is based on two pieces of our research and will give participants the opportunity to try two tools that are using artificial intelligence for adaptive learning and personalised learning in healthcare education. The two tools are being developed and tested with learners to see if they improve the learning process or if the hype is bigger than the reality.
In both cases, participants will be provided a web link to test the tools.
The first tool uses a chat bot and AI decision engine to assess an individual’s digital capabilities against a framework and then make recommendations on the most appropriate resources to support that individuals needs. This is being piloted with nursing students. The tool uses proprietary AI algorithms from Global Filtered. The preliminary results of the study will be shared with participants along with feedback from learners.
The second tool is a speech analysis tool that uses IBM Watson to analyse personality types (thinking styles). The personality detection is based upon an analysis of text, which is produced in response to a trigger photograph (e.g. an image of a sunset over a beach). The data is being tested with undergraduate medical and healthcare students to provide them with learning prompts/support tailored to their personality. The evaluation is being conducted by Leeds University on our behalf and the preliminary results will be shared with participants along with feedback from learners.
References
Younus, U. (2017) Fourth industrial revolution. [Online]. Available from: https://www.dawn.com/news/1331909/fourth-industrial-revolution (Accessed: 26 March 2018).
Russell, S. & Norvig, P. (2016) Artificial Intelligence: A Modern Approach, 3rd Edn, Pearson Education: Harlow.
Panetta, K. (2017). Top Trends in the Gartner Hype Cycle for EmergingTechnologies. [Online]. Available from: https://www.gartner.com/smarterwithgartner/top-trends-in-the-gartner-hype-cycle-for-emerging-technologies-2017/ (Accessed: 26 March 2018).
Resources for participants
Two links will be provided in the workshop but these are not currently available.
