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As part of the Pedagogy Unit (Uniped), the focus of this research group is to work with educators on the critical assessment of Artificial Intelligence (AI) in education to explore AI’s implications and identify appropriate applications.
The reseach group on AI, ethics and law focuses on legal and ethical implications of development, deployment and use of AI systems.
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Registration deadline is 29 April. The course is for doctoral students, and is organized by the Knowledge Center for Education, at the University of Stavanger.
The following single courses at the Faculty of Science and Technology are related to artifical intelligence and machine learning.
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Melissa Bond, associate professor 2 at the Knowledge Center for Education, has been appointed as a member of the editorial board of the journal Review of Education.
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What factors make the relationship work well between the kindergarten and multilingual parents? A forthcoming, systematic review will address this topic. The research project is presented as a protocol in KCE's new journal - Nordic Journal of Systematic Reviews in Education.
The Nordic Journal of Systematic Reviews in Education (NJSRE) announces the first publication.
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Check our Call for papers and get in touch. We look forward to your contribution!
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Human Reading Assessment is an NRC-funded research project exploring new methodologies for adaptive reading assessment. The project will start in April 2024.
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A comprehensive meta-analysis of prior research has found, overall, that children ages 1 to 8 were less likely to understand picture books when they read the digital, versus the printed version. However, when digital picture books contain the right enhancements that reinforce the story content, they outperform their print counterparts.
The Applied AI and Digitalization in Drilling Group at IEP, Department of Energy and Petroleum Engineering at the University of Stavanger, bridges the gap between industrial domain expertise and latest advances in Artificial Intelligence.
Due to an increase in the amount of data available through technological advancements, AI and machine learning approaches can be employed to convert the data into contextual information, leading to a step change in the field of energy and petroleum engineering.
Focusing on data, we will obtain value and impact by computing while maintaining privacy and trustworthiness.
Novel information retrieval and web mining solutions for next generation search engines and intelligent systems, using cutting edge machine learning and AI.
We investigate the function of biological systems, from intracellular molecular networks to complex microbial communities, and use mathematical models and experimental methods to explain and predict behavior.
Research activities vary from fundamental to applied research, with machine learning, deep learning and robot technology as main focus or tool.
A node for research, innovation and education in artificial intelligence at University of Stavanger (UiS).