Zoom interview with Stella Lee by Guy W. Wallace, recorded on July 12, 2022, regarding Stella's background, education, career history, and how she came to an HPT - Human Performance Technology/ Evidence-Based Practices approach in her L&D work.
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
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.
Join Leah Macfadyen from the University of British Columbia, Isabel Hilliger from Pontificia Universidad Católica de Chile and Andrew Brackett from New York University for a insightful conversation on how learning analytics can support the "big picture" of improving educational degrees.
28.02.2022
December 16, 2021
Professor Lesley Gourlay, University College London, Dr Carlo Perrotta, Monash University, Professor Paul Prinsloo, University of South Africa Chair: Dr Ibrar Bhatt, Queen's University Belfast
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.
Join Abelardo Pardo from University of South Australia and Timothy McKay from University of Michigan along with Lucy Appert from New York University for a insightful conversation about the strategies and challenges for enriching large introductory courses with learning analytic tools.
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.
iMooX wurde im Dezember 2013 von der Universität Graz und der Technischen Universität Graz gegründet und ist die erste und einzige österreichische MOOC-Plattform.
This event took place on 21 April 2021.
These popular events comprise a range of presentations and discussion sessions and are an opportunity to network with colleagues involved in learning analytics projects at other institutions.
How are analytics and machine learning transforming education now, and what is the potential for the future? Hear examples of education leaders who are using analytics & ML to understand student performance and develop new forms of teaching and support. Carnegie Mellon has developed SARA, a socially aware robot tutor, and Unizin and Ivy Tech are using analytics and ML to understand student performance and pilot interventions. Learn how Google is bringing ML to education and organizations.
Join NYU-LEARN and Drs. Paul Prinsloo and Ravi Shroff in an engaging conversation on how we can productively navigate the intersection of learning analytics and equity and consider the role of educational data science as a tool for social justice.
This session was led by Juan Pablo Sarmiento and introduces learning analytics researchers and practitioners to a collection of tools that can be used to scaffold the effective and authentic participation of stakeholders in the design, implementation and evaluation of Learning Analytics systems.
The first webinar focused on research and case studies relating to the ‘Alert’ stage of supporting students at risk (Alert > Communications > Intervention)
Through 3 key case studies, Rachel Thomas covers how people can be harmed by machine learning gone wrong, why we as machine learning practitioners should care, and what tech ethics are.
Prof Neil Selwyn, Professor of Maths Science & Technology, Monash University
Dr Luci Pangrazio, Research Fellow in Digital Literacies, Deakin University
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.
In dieser Folge untersucht der Publizist Frank Siepmann mit dem Learning-Analytics-Wissenschaftler Prof. Dr. Dirk Ifenthaler die Fragen: Wie werden Learning Analytics definiert und was steckt dahinter?
Learning Analytics (LA) is a new promising field that is attracting the attention of education providers, including teachers, learning designers and academic directors. Researchers and practitioners are interested in learning analytics as it can provide insights from student data, for example, students’ learning processes, automatically identifying learners in need and visualising learners’ behaviour.
Hendrik Drachsler is Professor of Educational Technologies and Learning Analytics, Goethe University Frankfurt am Main & Leibniz Research Institute, Germany and Open Universiteit, Netherlands
La Journée Thématique (JT) du CUME portant sur les Learning Analytics ou Traces d’apprentissage, a eu lieu le 10 octobre 2019, à la Maison des Universités à Paris
Researchers and educators have developed computer-based tools, such as automated writing evaluation (AWE) systems, to increase opportunities for students to produce natural language responses in a variety of contexts and subsequently to alleviate some of the pressures facing writing instructors due to growing class sizes
XVI Congresso Brasileiro de Ensino Superior a Distância (ESUD) e o V Congresso Internacional de Educação Superior a Distância (CIESUD) 2019, Teresina, Brazil
Learning analytics (LA) is a technology for enabling better decision-making by teachers, students, and other educational stakeholders by providing them with timely and actionable information about learning-in-process on an ongoing basis.
The 2019 Association for Learning Technology awards took place on Wednesday 4th September with the SHEILA project receiving the ALT 2019 research project award.
This video describes a European research project - SHEILA (Supporting Higher Eduction to Integrate Learning Analytics). The content includes the goal, objectives, methodology, key findings, outputs, and recommendations.