Survey on visual analysis of event sequence data

Y Guo, S Guo, Z Jin, S Kaul, D Gotz… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …

[HTML][HTML] Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section

K Dobashi, CP Ho, CP Fulford, MFG Lin… - Computers and Education …, 2022 - Elsevier
In recent years, distance learning using learning management and e-book systems has
been actively conducted in higher education institutions and various other organizations. It is …

Visual analytics of video‐clickstream data and prediction of learners' performance using deep learning models in MOOCs' courses

AA Mubarak, H Cao, W Zhang… - Computer Applications in …, 2021 - Wiley Online Library
The big data stored in massive open online course (MOOC) platforms have become a posed
challenge in the Learning Analytics field to analyze the learning behavior of learners, and …

Co-designing AI agents to support social connectedness among online learners: functionalities, social characteristics, and ethical challenges

Q Wang, S Jing, AK Goel - Proceedings of the 2022 ACM Designing …, 2022 - dl.acm.org
Due to the lack of face-to-face interactions, online learners frequently experience social
isolation that negatively impacts students' well-being and learning experiences. Many text …

PerformanceVis: Visual analytics of student performance data from an introductory chemistry course

H Deng, X Wang, Z Guo, A Decker, X Duan, C Wang… - Visual Informatics, 2019 - Elsevier
We present PerformanceVis, a visual analytics tool for analyzing student admission and
course performance data and investigating homework and exam question design. Targeting …

Data-driven personalized learning path planning based on cognitive diagnostic assessments in MOOCs

B Jiang, X Li, S Yang, Y Kong, W Cheng, C Hao… - Applied Sciences, 2022 - mdpi.com
Personalized learning paths aim to save learning time and improve learning achievements
by providing the most appropriate learning sequence for heterogeneous students. Most …

[HTML][HTML] DNA of learning behaviors: A novel approach of learning performance prediction by NLP

CC Lin, ESJ Cheng, AYQ Huang, SJH Yang - Computers and Education …, 2024 - Elsevier
In recent years, the field of learning analytics has gained significant attention as educators
and researchers seek to understand and optimize the learning process in online learning …

MOOC-ASV: analytical statistical visual model of learners' interaction in videos of MOOC courses

AA Mubarak, SAM Ahmed, H Cao - Interactive Learning …, 2023 - Taylor & Francis
In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore
students' engagement in MOOC courses and predict their performance on the basis of their …

大型开放式在线课程(MOOC) 数据可视分析综述

周志光, 王飒清, 刘玉华, 王勇, 王毅刚 - 计算机辅助设计与图形学学报, 2022 - jcad.cn
大型开放式在线课程(massive open online courses, MOOC) 是面向用户提供教学资源的线上
学习平台. 从MOOC 数据类型, MOOC 数据可视化方法和MOOC 数据的可视分析应用3 …

[PDF][PDF] Engagement of students in data visualization for the purpose of E-learning improvement

V Zotov, I Ibrahim, I Petunina, Y Lazareva - 2021 - covid19.neicon.ru
The study describes an approach to e-learning based on the Moodle platform that is used to
visualize participation in the learning community and is proposed to be used to inform …