.png){kind=icon}
返回
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded deep neural network method
.png){kind=icon}
OA
AI
DOI：10.1007/s11042-022-13628-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recent years have witnessed the rapid growth of Small Private Online Courses (SPOC) which is able to highly customized and personalized to adapt variable educational requests, in which machine learning techniques are explored to summarize and predict the learners' performance, mostly focus on the final grade. However, the problem is that the final grade of learners on SPOC is generally seriously imbalance which handicaps the training of prediction model. To solve this problem, a sampling batch normalization embedded deep neural network (SBNEDNN) method is developed in this paper. First, a combined indicator is defined to measure the distribution of the data, then a rule is established to guide the sampling process. Second, the batch normalization (BN) modified layers are embedded into full connected neural network to solve the data imbalanced problem. Experimental results with other three deep learning methods demonstrate the superiority of the proposed method.
Keyword:
Grade prediction
Class balance
SPOC
Deep neural network
Batch normalization
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Implementation of total body photon irradiation as part of an institutional bone marrow transplant program for the treatment of canine lymphoma and leukemias作为机构骨髓移植计划的一部分，全身光子照射的实施，用于治疗犬淋巴瘤和白血病
PREAI
分享收藏Integrated Bioabsorbable Tissue Reinforcement in Laparoscopic Sleeve Gastrectomy腹腔镜袖状胃切除术中的集成生物可吸收组织增强技术
PREAI
分享收藏Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Clinical Relevance of Multidrug Resistance Gene Expression in Ovarian Serous Carcinoma EffusionsOAAI
OAAI分享收藏
查看更多内容