At the intersection of machine learning and quantum computing, has potential accelerating data analysis, especially for data, with applications materials, biochemistry high-energy physics. Nevertheless, challenges remain regarding trainability models. Here we review current methods learning. We highlight differences between classical learning, a focus on neural networks deep Finally, discuss op...

The digital age has introduced a host of new challenges and opportunities for the learning sciences community. These challenges and opportunities are particularly abundant in multimodal learning analytics (MMLA), a research methodology that aims to extend work from Educational Data Mining (EDM) and Learning Analytics (LA) to multimodal learning environments by treating multimodal data. Recogniz...

Corona Virus Disease 2019 is currently still volatile. Large-scale restrictions stop activities outside the home that have a broad impact on life, including field of education. Learning transition into online learning at home. Changes due to this condition pose challenges as well opportunities for students and educators. The purpose study explore information in so results can provide policy rec...