CategoriesArtificial IntelligenceDigital learning

Impact of AI Act on Affective Computing

As we get closer to enacting the #AIAct, I want to share a few thoughts on banning #emotionrecognition on education applications.
 
While certainly moved from a good cause, this ban risks hindering much of the community's progress in affective computing in education. 
As my colleague @deniziren puts it:
"Computational services lacking empathy or emotion-aware capabilities are merely blunt tools. How can we hope to address the human-AI alignment problem without enabling AI to understand human emotions?"
https://www.linkedin.com/pulse/impact-ai-act-affective-computing-deniz-iren-phd-pmp/ 

Technology-assisted emotion recognition is helpful in various contexts, such as supporting people with autism spectrum disorder (ASD) or Asperger syndrome.
Emotion recognition is not the only proxy for users' identity; the same can be done with speech, physiological data, etc. Do we need to ban them all? What will this mean for education research?

There are techniques which we have been using that allow the use of emotion recognition while preserving user privacy (see here: https://link.springer.com/chapter/10.1007/978-3-031-16290-9_4 )

Ultimately, the technology is never the problem per se, but what is more problematic is how it is used and for which intention. So banning a certain technology, such as emotion recognition, also blocks good-intentioned initiatives.
CategoriesDigital learning

Creative ideas for using AI in Education


Just looked at this #OpenAccess book, which proposes a crowdsourced collection of tools for creatively using AI in education -> https://zenodo.org/record/8072950.

Almost all ideas revolve around genAI tools like ChatGPT, Midjourney, and DALLE2.

It was an exciting read, but I found no mention of adaptive learning, intelligent tutoring or learning analytics.

CategoriesDigital learning

The golden mean in learning

If you do research in the field of learning science there is almost certainly one point in which you realise how difficult is to model and describe a learning process. Among the human cognitive processes, learning is definitely one of the most complex and fascinating, as it encompasses several dimensions including as motivation, knowledge, emotional states.

CategoriesDigital learningEvents

HACK@LAK18 Call for Proposals


Call For Proposals (https://easychair.org/cfp/LAKHackathon2018)

The Hack@LAK18 is a pre-conference workshop of the 8th International Learning Analytics and Knowledge Conference (LAK). It is the fourth in the series of Hackathons held at LAK, where we encourage a hands-on approach to combining novel data sources in a realistic infrastructure for the benefit of Learning. The approach is multi-disciplinary, reviewed from all angles, self-organising and team building. Anyone is welcome to participate as long as they are motivated to be politely critical and work towards and expand common objectives.

Please feel free to bring along your research questions, datasets and methodologies to the workshop for incorporation in the multidisciplinary activities. If you would like to suggest open research questions that you think should be addressed at the event, then please see our Call for Proposals which is open until December 18. However, you don’t have to have submitted a proposal in order to participate!

The event itself will take place on March 5-9, 2018 in Sydney, Australia.