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Dan Suthers <[log in to unmask]>
Thu, 3 Jun 2021 04:51:01 -1000
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   CFP: Human and Artificial Learning in Digital and Social Media

   55th Hawaii International Conference on System Sciences (HICSS)
                        January 4-7, 2022
              Hyatt Regency Maui Resort and Spa
       PAPERS DUE: June 15, 2021 (

We solicit papers on how human and artificial learning takes place via 
interactive and social processes enabled or supported by digital and 
social media (DSM). The integration of technology and artificial 
intelligence into our programs, support systems and practices for 
education, lifelong and professional learning is on the rise. In some 
cases the separation of human and artificial learning is difficult to 
untangle. The use of technology, AI systems and machine learning into 
learning environments opens up new questions, applications and research 
methodologies. How, for example, does technology support change how 
humans learn?, and Can we effectively develop agency, trust, analytics, 
feedback and interventions to support learning in complex environments 
where boundaries between human and artificial decision-making become 
blurred? What new capability and research will this integration bring 
and how will it advance our current understanding of learning?

We seek to bridge disciplines and research communities between system 
sciences, AI, computer and learning sciences, so within this scope a 
broad range of research questions, learning settings, and theoretical 
and methodological traditions will be considered. We are flexible about 
what constitutes ‘learning’ (e.g., acquisition or co-creation of 
knowledge or skills, intersubjective meaning-making, legitimate 
peripheral participation, advancing community knowledge, collective 
change) and about the nature of the setting (e.g., face-to-face or 
online; formal or informal; educational, professional or leisure and 
mixtures thereof; with diverse technological media and artificial 
intelligence mediating networked or community social interaction), but 
learning and the DSM setting should be considered in relation to each 
other rather than one without regard for the other.

Papers should make a theoretical and/ or empirical contribution or 
establish the value of a methodological or design innovation: it is not 
sufficient to merely document use of a technology in a learning context 
or apply a well-worn model without new insights. Within these 
guidelines, the range of topics we consider are broad. We are 
particularly interested in:

* The awareness, impact and effects of the integration of human and 
artificial learning in digital and social media learning environments.
* How the affordances of technological systems influence learning in 
digital and social media environments.
* Deepening the theoretical understanding that underlines processes of 
human and artificial learning in digital and social media.
* How the affordances of digital and social media, learning analytics 
and AI systems influence or are appropriated for studying learning 
and/or the development of learning support or feedback systems
* How the affordances of digital and social media, learning analytics 
and AI systems influence or are appropriated in learning design, 
teaching and delivery of learning programs.
* Understanding the integration of human and artificial learning at the 
nexus of distributed work, complex problem solving, and knowledge sharing.
* How the integration of analytics, algorithms and machine learning in 
digital and social media environments (for example Twitter, Facebook) 
are used of influences learning and teaching practices.
* Using (big)data from digital and social media to understand learning. 
New methods, analytics and AI application for studying and supporting 
teachers and learners.

Minitrack Co-Chairs:

Maarten De Laat (Primary Contact)
University of South Australia
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George Siemens
University of Texas Arlington and University of South Australia
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Dan Suthers
University of Hawaii
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