Organizers:
Andy Nguyen (University of Oulu)
Sanna Järvelä (University of Oulu)
Mutlu Cukurova (University College London)
Carolyn Rose (Carnegie Mellon University)
Alyssa Wise (Vanderbilt University)
Michail Giannakos (Norwegian University of Science and Technology)
Kshitij Sharma (Norwegian University of Science and Technology)
Luna Huynh (University of Oulu)
4th Dec 2024: Submission Deadline for Workshop Papers
The increasing integration of Artificial Intelligence (AI) across various aspects of life is significantly transforming the educational landscape (Gašević et al., 2023; Nguyen et al., 2024; Viberg et al., 2024). Hybrid Intelligence, which focuses on fostering mutual understanding and collaborative learning between humans and machines, aims to harness the unique strengths of both in their learning processes (Järvelä et al., 2023). Unlike traditional AI, designed to operate independently in performing tasks that typically require human intelligence, such as perception and learning, Hybrid Intelligence involves active collaboration between humans and machines. This approach emphasizes continuous learning and reinforcement from both parties, setting it apart from human-centered AI. By combining the complementary strengths of humans and AI, Hybrid Intelligence holds the potential to achieve outcomes that neither could achieve alone as well as mitigating the negative repercussions of cognitive atrophy of humans (Cukurova, 2024). The main purpose of this workshop is to ignite discussions and establish a research agenda for Hybrid Intelligence in learning analytics by bringing together a multidisciplinary group of learning scientists, learning analytics practitioners, software engineers, and AI specialists.
Tentative Program
Duration Activity
10 minutes Welcome & Introduction
20 minutes Invited Speech: Gautam Biswas
20 minutes Invited Speech: Sanna Järvelä
40 minutes Panel Discussion: Mutlu Cukurova – Alyssa Wise – Carolyn Rose – Michail Giannakos – Kshitij Sharma
60 minutes Research Showcases
40 minutes Roundtable Discussion on the Conceptualisation of HI
60 minutes Collaborative Design for HI Systems
20 minutes Discussion on future research directions and collaborations
We invite participants to submit an extended abstract of up to 5 pages (excluding references) detailing their research in the area of hybrid intelligence. The abstract should provide a concise summary of your research focus or, if more appropriate, highlight a selection of relevant studies within the field of hybrid intelligence. Please ensure that your submission adheres to the CEUR proceedings format, which can be found at: https://ceur-ws.org/HOWTOSUBMIT.html.
The workshop paper should be submitted here: https://forms.gle/8hRBLgARHvTrcsv76
19 Oct 2024: Call for Submissions
4 Dec 2024: Submission Deadline for Workshop Papers
20 Dec 2025: Notifications of Acceptance
20 Jan 2025: Camera-Ready Deadline for Workshop Papers
March, 2025: the 1st Hybrid Intelligence: Human-AI Collaboration and Learning Workshop, taking place during the LAK'2025 conference!
This workshop seeks to bring together researchers, practitioners, and scholars from diverse disciplines to explore the theoretical underpinnings, practical implementations, and ethical considerations of hybrid intelligence. We aim to foster an inclusive, transdisciplinary discussion that advances understanding and collaboration in this emerging field