Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities-Reference-Cited by-同舟云学术

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Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities

Published:2024 Issue: Volume:12 Page:100659-100675
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Leelaluk Sukrit¹^ORCID,Tang Cheng¹^ORCID,Minematsu Tsubasa²^ORCID,Taniguchi Yuta³,Okubo Fumiya¹^ORCID,Yamashita Takayoshi⁴^ORCID,Shimada Atsushi¹^ORCID

Affiliation:

1. Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

2. Data-Driven Innovation Initiative, Kyushu University, Fukuoka, Japan

3. Research Institute for Information Technology, Kyushu University, Fukuoka, Japan

4. MPRG, Chubu University, Aichi, Japan

Funder

Japan Science and Technology Agency-Support for Pioneering Research Initiated by the Next Generation

JST-Core Research for Evolutionary Science and Technology

Japan Society for the Promotion of Science (JSPS) KAKENHI, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10600707.pdf?arnumber=10600707

Reference57 articles.

1. Exploring the Impact of a Learning Dashboard on Student Affect

2. A Study on Course Management System Implementation in Indonesian Higher Education Institutions

3. Educational Big Data: Predictions, Applications and Challenges

4. Educational Data Mining and Learning Analytics: differences, similarities, and time evolution

5. Ouroboros

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