|
|
|
|
|
Bo Jiang, Xinya Li, Shuhao Yang, Yaqi Kong, Wei Cheng, Chuanyan Hao and Qiaomin Lin
Personalized learning paths aim to save learning time and improve learning achievements by providing the most appropriate learning sequence for heterogeneous students. Most existing methods that construct personalized learning paths focus on students? ch...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanyan Feng, Shuang Liu, Xiaoru Wanyan, Hao Chen, Yuchen Min and Yilan Ma
In order to discriminate situation awareness (SA) levels on the basis of SA-sensitive electroencephalography (EEG) features, the high-SA (HSA) group and low-SA (LSA) groups, which are representative of two SA levels, were classified according to the situ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanyan Hao, Anqi Zheng, Yuqi Wang and Bo Jiang
In the information age, MOOCs (Massive Open Online Courses), micro-classes, flipping classroom, and other blended teaching scenes have improved students learning outcomes. However, incorporating technologies into experimental courses, especially electron...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haoran Xu, Xinya Li, Kaiyi Zhang, Yanbai He, Haoran Fan, Sijiang Liu, Chuanyan Hao and Bo Jiang
Recently, deep learning has enabled a huge leap forward in image inpainting. However, due to the memory and computational limitation, most existing methods are able to handle only low-resolution inputs, typically less than 1 K. With the improvement of In...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bo Jiang, Yanbai He, Rui Chen, Chuanyan Hao, Sijiang Liu and Gangyao Zhang
Learning data feedback and analysis have been widely investigated in all aspects of education, especially for large scale remote learning scenario like Massive Open Online Courses (MOOCs) data analysis. On-site teaching and learning still remains the mai...
ver más
|
|
|
|
|
|