In this article, Luciano Floridi argues that the development of AI in terms of successful agency without intelligence does not lead to any fanciful realisation of science fiction scenarios (Singularity), which are at best distracting and at worst irresponsible.
Fuzzy Loss functions for GANs, Learning Analytics, Next Generation AI and Sustainability, Deep Learning for Melodic Frameworks
Speakers:
Prof. Priti S. Sajja, Sardar Patel University, India
Prof. Elvira Popescu, University of Craiova, Romania
Dr. Celestine Iwendi, University of Bolton, UK
Dr. Vishnu S. Pendyala, San Jose State University, USA
Date: Tuesday, July 12, 2022
21.06.2022 Im Projekt Knight erforscht die Hochschule für Technik Stuttgart den Einsatz von Learning Analytics und künstlicher Intelligenz in der Lehre. Untersucht wird, wie Lernprozesse automatisiert unterstützt werden können, KI in der Lehre verankert werden kann, aber auch wie die Lehrenden von administrativen Aufgaben entlastet werden können.
As part of our mini-series Podcast in AI in Education: Pedagogy first, senior AI specialist Tom Moule speaks with Scott Hayden from Basingstoke College of Technology about they are using AI to support personalised learning.
Commentary on Artificial intelligence in education: what issues do we need to start considering now? by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
Artificial intelligence in higher education isn't without its risks. Here are three possible trouble spots for the use of AI. Elana Zeide is Associate Professor of Law at the University of Nebraska.
Seit dem 01. Dezember 2021 fördert das Bundesministerium für Bildung und Forschung (BMBF) im Rahmen der Förderlinie „Digitale Hochschulbildung“ das Verbundprojekt IMPACT – Implementierung von KI-basiertem Feedback und Assessment mit Trusted Learning Analytics in Hochschulen.
Der Kurs vermittelt ein grundlegendes Verständnis für Machine Learning und den Umgang mit Algorithmen. Nach einem Einführungsteil auf der Basis inhaltlicher Wissensvermittlung, haben Sie intensiv die Möglichkeit, Kompetenzen durch forschendes Lernen und anhand realer Szenarien zu entwickeln.
What’s the overlap between Artificial Intelligence and Learning Analytics? How an answer to a playful OpenAI question turned out to be surprisingly insightful!
Zusammen mit Joana Grah (Heinrich-Heine-Universität Düsseldorf; HHU) und Steffen Brandt (opencampus.sh), die die Möglichkeiten praxisorientierter, fachübergreifender Bildungsangebote zu KI beispielhaft aufzeigen, sowie mit Rolf Bardeli (Lead Data Scientist, Vodafone) und Herrn Prof. Stefan Harmeling (Leiter Arbeitsgruppe Machine Learning, HHU), die ihre Perspektiven aus der Praxis einbringen, möchten wir diskutieren, welche Kompetenzen im Bereich KI aktuell am dringendsten benötigt werden.
A new report by Jisc has been compiled to help universities, colleges and research institutes think about the ethics of artificial intelligence (AI), and to combat “unfairness” or “unexpected effects” for students and staff in education and research.
Data is sometimes seen as something cold and removed from the human element, but in reality, it is a window into that very humanity, and can form an essential foundation for keeping students on track.
The purpose of the Expertise Connections sessions was for participants to learn something about a topic where they are not experts. Community members with expertise (1) shared information and examples with participants who wanted to learn more about the topic, (2) provided a forum for participants to discuss how they might incorporate the topic into their work, and (3) brokered connections between community members who are interested in a topic.
As data scientists and business leaders, we need to think about the ethical and privacy considerations of machine learning and artificial intelligence. FICO's Scott Zoldi shares recommendations around responsible AI, ethics, and privacy during this important conversation.
This thematic series examines the potential and actual impact of artificial intelligence (AI) on higher education (HE). The focus is primarily on the use of AI for supporting teaching and learning.
From building those in-demand digital skills to tackling digital poverty and agreeing common data standards - data analytics may sounds clinical but it's much more about people than technology, argues Karen Foster.
Artificial intelligence (AI) often features in visions of the future, but the education sector need not wait; this is an opportunity we are seizing right now.
by Andy McGregor on 27 April 2021
Das Projekt „Kontextbasierte und adaptive Maßnahmen für effektive Lernunterstützung in der Online-Weiterbildung“ – kurz KAMAELEON – des Mannheimer Wirtschaftspädagogikprofessors Dirk Ifenthaler zählt zu den Gewinnerprojekten des Innovationswettbewerbs INVITE.
Klar ist für uns: 2020 sollte nicht nur als Jahr der Krise, sondern auch als Jahr der Bildungsinnovation in Erinnerung bleiben. Mit dem ersten Newsletter des KI-Campus möchten wir gerne darauf zurückblicken und auch einen gemeinsamen Ausblick wagen.
Using deep learning to understand the level of attention and engagement of students. Ensuring privacy, having real-time feedback on the delivery of coursework will help lecturers/presenters, make improvements vs. waiting once or twice a year for this information.
Das Whitepaper "Künstliche Intelligenz in der Hochschulbildung" dient als Beschreibung der Möglichkeiten und Herausforderungen von Künstlicher Intelligenz in Studium und Lehre, fördert die Diskussion über Veränderungen der hochschulischen Lehr- und Lernkultur und von möglichen Lehr-/ Lerninhalten durch Künstliche Intelligenz. Zudem stellt es Visionen für das zukünftige Hochschulstudium aus Sicht von Studierenden und Lehrenden vor, um zu verdeutlichen, wie sich das Studium in den nächsten Jahren verändern kann.
This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019
This edited volume includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science.
AI holds enormous potential for transforming the way we teach, but first we need to define what kind of education system we want. Also, the head of the UK’s new Centre for Data Ethics and Innovation warns democratic governments that they urgently need an ethics and governance framework for emerging technologies.
In unserer Rubrik zum Wissenschaftsjahr 2019 beleuchten wir, wie sich Methoden und Anwendungen im Bildungsbereich manifestieren – sowohl in der Bildungsforschung und der Entwicklung von neuen Lehr-Lernszenarien, als auch im Bereich der Education Technologies und Learning Analytics.
This interdisciplinary journal aims to increase knowledge and understanding of ways in which learning analytics (LA) and artificial intelligence (AI) can support and enhance education.
Scalable learning is a key differentiator for modern enterprise business. The theory states that the institutions most likely to thrive in today’s changing economic environments will be those that provide opportunities not only to learn faster as a whole organization, but also to learn from other individuals and organizations to create new knowledge.
Students in the future will be able to personalise their learning while teachers can monitor their engagement and behaviour, according to ed-tech experts. Opening the EdTechX conference in London today, Benjamin Vedrenne-Cloquet said the future of education lies with artificial intelligence and deep learning, citing the movement towards data and "deep tech" in new ed-tech companies, away from the "lighter tech" of digitisation of content seen at the beginning of the decade.
AI has changed our lives for a better tomorrow. It is being tested and applied almost in every possible field. There is a consensus that automation guarantees better results across various domains.
By Simon Buckingham Shum on May 4th, 2019.
A heads-up that three collections will hit the streets this year focused on how we can design so that human needs and values are well and truly centre-stage in educational tools powered by data, analytics and AI.
M. Tavakoli, A. Faraji, M. Molavi, S. Mol, и G. Kismihók. (2021)cite arxiv:2112.12100Comment: This paper has been accepted to be published in the 12th International Learning Analytics and Knowledge (LAK'2022), March 21--25, 2022. ACM.