NORA.startup webinar #21: AI and Pedagogics
Curious to learn more about the state of AI in pedagogics?
How much do we know about the use of AI and pedagogics, the opportunities and challenges faced?
Register by following the link below:
We have invited three specialists, from academia and one startup, to introduce how they are currently using artificial intelligence and machine learning in early childhood learning, such as in detecting reading difficulties, and how new technology can be used as helpful tools for both teachers and students to create good learning experiences.
We will dive into the complex field of AI and pedagogy to see if we can answer a few of the below questions:
How can and MUST AI and pedagogy play together to create better learning conditions for students and schools in the future?
What cases exist within AI-driven pedagogy today - and what are the recognizable opportunities today, and potential value for the future?
What open data sets exist within AI & pedagogy, and how can we promote awareness and transparency about data in pedagogy in the future?
- Njål Foldnes, Professor and Project Manager, Gameplay
- Erlend Aune, Associate Professor of Data Science and Head of Simula@BI at BI Norwegian Business School
- Ida Dahl, Chief Product Officer, Neddy
- Jakob Voigt, Industrial PhD, Neddy
Diana Saplacan, Senior Researcher/Forsker II at University of Oslo (UiO), Robotics and Intelligent Systems (ROBIN) Research Group in the Vulnerability in the Robot Society (VIROS) project
Moderator: Morten Goodwin
The main goal of Gameplay is to develop a method for early identification of first graders at risk of developing reading and writing difficulties, while at the same time providing a positive experience for the children. The pupils will play a learning to read-game, while algorithms will look for hidden clues in the game that may indicate risk. Gameplay is probably the world’s first project to use machine learning in detecting early reading and writing difficulties.
Neddy is an edtech startup, passionate about creating better learning and more personalized learning journeys. The technology needed to deliver on that promise, just needs to be put into the right context. Since our launch in 2020, we have developed user friendly, AI driven and connected learning applications. Driven by an open, modular architecture - so that every child can realize their potential.
Senior Researcher/Forsker II at University of Oslo (UiO), Robotics and Intelligent Systems (ROBIN) Research Group in the Vulnerability in the Robot Society (VIROS) project
Diana Saplacan is a senior researcher/forsker II at the University of Oslo, at the Department of Informatics, Robotics and Intelligent Systems (ROBIN) research group, currently working in Vulnerability in Robot Society (VIROS) project. She received her Ph.D. degree (2020) from the University of Oslo, Norway. Her Ph.D. degree is interdisciplinary within Design of Information Systems, at the cross of Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI), and Computer-Supported Cooperative Work (CSCW) fields, with Universal Design (UD) knitting these fields. In her Ph.D., she worked with two different cases, one focused on everyday interaction with robots in the home as part of the Multimodal Elderly Care Systems (MECS) research project, and the other focused on interaction with digital learning environments in higher education in UDFeed project. She coined the notion of situated abilities discussing from a phenomenological perspective how the abilities of humans in their interaction with digital systems are constrained or enabled by the design of the system itself.
Her current interests include Human-Robot Interaction and Human-Robot cooperation, ethics, and AI regarded through the lens of Universal Design principles, inclusion, and accessibility. She is not afraid of asking difficult questions in order to protect the human rights of vulnerable users when it comes to AI and robots.
Moderator: Morten Goodwin
Morten Goodwin received the B.Sc. and M.Sc. degrees from the University of Agder, Norway, in 2003 and 2005, respectively, and the Ph.D. degree from Aalborg University Department of Computer Science, Denmark, in 2011, on applying machine learning algorithms on eGovernment indicators which are difficult to measure automatically.
He is a Professor with the Department of ICT, the University of Agder, deputy director for Centre for Artificial Intelligence Research, a public speaker, author, and an active researcher.
His main research interests include machine learning, including swarm intelligence, deep learning, and adaptive learning in medicine, games, and chatbots. He has more than 100 peer reviews of scientific publications. He has supervised more than 110 student projects, including Master and Ph. D. theses within these topics, and more than 90 popular science public speaking events, mostly in Artificial Intelligence, and recently authored the popular science book “AI. Myten om maskinene»
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