Today, researchers from the University of Technology in Sydney have unveiled a groundbreaking new study that shows the issues that students face when learning from machines. The study used a combination of machine learning algorithms and classroom data to investigate the impact of machine learning on student engagement, performance, and satisfaction. The results revealed that students experienced issues related to lack of teacher interaction, low confidence in the machine, and difficulty understanding the material. These results suggest that when teaching with machines, teachers should be cognizant of the potential issues that students may face and be prepared to provide support.

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source: Phys.org