Learning with Sociable Robots and Artifacts
Sandra Y. Okita,
Teachers College, Columbia University –
People often turn to others to improve their own learning. Technological artifacts (e.g. humanoid robots, pedagogical agents/avatars) often consist of human-like qualities ranging across appearance, behavior, and intelligence. These features often elicit a social response from humans that provide distinctive ways to examine human-artifact interactions. Virtual humans and humanoid robots create unique situations that have interesting implications for peer learning and social behavior. The talk explores possible ways to capitalize on the strong social components of technology that enables students to develop peer-learning relationships (e.g., recursive feedback during learning-by-teaching, self-other monitoring). I will introduce some ongoing research that uses technological artifacts (robots, pedagogical agents/avatars) as a threshold to learning, instruction, and assessment in formal (e.g., classrooms) and informal learning environments (e.g., online learning environments). Technological artifacts also present an array of interesting design choices (e.g., customization, creating look-alikes, adopting personas) when modeling interactions with human learners, and how identifying cause-and-
effect relationships enables us to more effectively design interventions. I will introduce work in this area that explore how facial similarity with peer avatars may influence human learning, and how robotic features combined with specific scripts and scenarios assist engagement and behavior.
Sandra Y. Okita is an Associate Professor of Technology and Education at Teachers College, Columbia University. Her work uses innovative technologies (i.e., humanoid robots, robotic systems, games for learning, pedagogical agents/avatars, virtual and mixed reality environments) as a threshold to learning, instruction, and assessment within the K-12 classroom environment and beyond. Okita comes from a cognitive science, educational technology, and human-computer interaction background from Stanford University. Much of
Okita’s work involves examining how robots and digital games can test theories about conditions for learning and facilitate collaborative learning. Her research aims to capitalize on the strong social components of technology that enables students to develop peer-learning relationships with technology in the STEM and biological science subject areas. Okita’s interdisciplinary work finds publications in both educational and computer science fields (Journal of the Learning Sciences, British Journal of Educational Technology, ACM Transactions on Interactive Intelligent Systems). Okita is an active member of International Society of the
Learning Sciences (ISLS), American Educational Research Association (AERA), ACM/IEEE International Conference on Human Robot Interaction (HRI), and a steering committee member of IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) that highlights human-robot collaboration in relation to human learning and performance. Her work has been extensively featured in The New York Times, and the Wall Street Journal. Okita has had numerous federal and industrial grants from the National Science Foundation, Honda Research Institute, Google, Omron, and Sony.
Date: 2019-Jan-31 Time: 15:00:00 Room: IST Taguspark – Room 1.38
For more information:
INESC-ID ESR Talks – June 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
Happening on the second Wednesday of every month (4pm-5pm):
- 14 June (Alves Redol, Room 9)
- 12 July (Alves Redol, Room 9)
We hope to see you there!
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.