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Bogina, Veronika; Hartman, Alan; Kuflik, Tsvi; Shulner-Tal, Avital – International Journal of Artificial Intelligence in Education, 2022
This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the…
Descriptors: Educational Technology, Computer Software, Artificial Intelligence, Stakeholders
Kensington-Miller, Barbara; Novak, Julia; Evans, Tanya – International Journal of Mathematical Education in Science and Technology, 2016
This paper describes a case study of two pure mathematicians who flipped their lecture to teach matrix determinants in two large mathematics service courses (one at Stage I and the other at Stage II). The purpose of the study was to transform the passive lecture into an active learning opportunity and to introduce valuable mathematical skills,…
Descriptors: Blended Learning, Mathematics, Professional Personnel, Lecture Method
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use