Modelling, prediction and classification of student academic performance using artificial neural networks

ET Lau, L Sun, Q Yang - SN Applied Sciences, 2019 - Springer
… and the improvement of higher education quality. However, the … through the data collected
from one Chinese university. The … prediction process with different levels of academic grades, …

Student dropout prediction in massive open online courses by convolutional neural networks

L Qiu, Y Liu, Q Hu, Y Liu - Soft Computing, 2019 - Springer
… -to-end dropout prediction model based on convolutional neural networks to predict the student
… comparable to other dropout prediction methods on precision, recall, F1 score, and AUC …

Transfer learning from deep neural networks for predicting student performance

M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos - Applied Sciences, 2020 - mdpi.com
… students’ performance prediction in higher education. Since … undergraduate courses.
Hence, we employed a simple … tasks (eg, for predicting students’ grades). In a future work we …

Predicting students' performance with school and family tutoring using generative adversarial network-based deep support vector machine

KT Chui, RW Liu, M Zhao, PO De Pablos - IEEE Access, 2020 - ieeexplore.ieee.org
… comparing with traditional deep neural network. The … of universities in Spain within the
European higher education area (… degree in mathematical imaging from The Chinese University of …

Precision education with statistical learning and deep learning: a case study in Taiwan

SC Tsai, CH Chen, YT Shiao, JS Ciou… - … in Higher Education, 2020 - Springer
… method based on deep neural networks were used to predict … the China Asia Associated
University, a university system of … The proportion of students whose final grades were lower in …

Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020

F Ouyang, L Zheng, P Jiao - Education and Information Technologies, 2022 - Springer
… , artificial neural networks, machine learning, deep learning, … college degree, or predict
students’ selection of courses in … models to predict student’s numerical grades. Mubarak et al. (…

Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks

A TS, RMR Guddeti - Education and information technologies, 2020 - Springer
… Hence, we propose a new method using CNN to predict three … predicted a group engagement
score for image frame data … Emotion recognition and evaluation of mandarin speech using

Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course

F Ouyang, M Wu, L Zheng, L Zhang, P Jiao - … in Higher Education, 2023 - Springer
Deep artificial neural network (ANN) was deployed to predict … in 2022 at a top-tier university
in China. This course centered on … groups had a slightly lover score than the control group. In …

Convolutional neural network: Deep learning-based classification of building quality problems

B Zhong, X Xing, P Love, X Wang, H Luo - Advanced Engineering …, 2019 - Elsevier
… in this research are Chinese short texts, which possess weak semantics with a high degree
of … model is therefore trained and optimized to minimize the error rate between predicted and …

[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

J Niyogisubizo, L Liao, E Nziyumva… - … and Education: Artificial …, 2022 - Elsevier
… dropout in higher education was predicted using the largest … -supported collaborative
learning, neural networks for teaching … To address this issue, precision, recall, and F1-Score are …