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A review of deep learning-based recommender system in e-learning environments
T Liu, Q Wu, L Chang, T Gu - Artificial Intelligence Review, 2022 - Springer
While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …
more convenient for many people, it has also caused information overload. According to a …
[HTML][HTML] Indicators for enhancing learners' engagement in massive open online courses: A systematic review
Massive open online courses (MOOCs) have paved a new learning path for the 21st-century
world. The potential to reach a massive geographically dispersed audience is one of the …
world. The potential to reach a massive geographically dispersed audience is one of the …
Emotion-semantic-aware dual contrastive learning for epistemic emotion identification of learner-generated reviews in MOOCs
Identifying the epistemic emotions of learner-generated reviews in massive open online
courses (MOOCs) can help instructors provide adaptive guidance and interventions for …
courses (MOOCs) can help instructors provide adaptive guidance and interventions for …
Evolutionary machine learning builds smart education big data platform: Data-driven higher education
L Zheng, C Wang, X Chen, Y Song, Z Meng… - Applied Soft …, 2023 - Elsevier
The development of machine learning has promoted the construction of smart education
platforms. It is of great significance to deeply investigate the usage of machine learning …
platforms. It is of great significance to deeply investigate the usage of machine learning …
MOOC dropout prediction using a hybrid algorithm based on decision tree and extreme learning machine
Massive Open Online Courses (MOOCs) have boomed in recent years because learners
can arrange learning at their own pace. High dropout rate is a universal but unsolved …
can arrange learning at their own pace. High dropout rate is a universal but unsolved …
MCRS: A course recommendation system for MOOCs
H Zhang, T Huang, Z Lv, SY Liu, Z Zhou - Multimedia Tools and …, 2018 - Springer
With the popularization development of MOOC platform, the number of online courses grows
rapidly. Efficient and appropriate course recommendation can improve learning efficiency …
rapidly. Efficient and appropriate course recommendation can improve learning efficiency …
The functional architecture of human motivation: Personality systems interactions theory
In this chapter, we present the theory of Personality Systems Interactions (PSI) as a
metaframework for analyzing the functional architecture of human motivation and personality …
metaframework for analyzing the functional architecture of human motivation and personality …
Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis
J Fan, Y Jiang, Y Liu, Y Zhou - Internet Research, 2022 - emerald.com
Purpose Course recommendations are important for improving learner satisfaction and
reducing dropout rates on massive open online course (MOOC) platforms. This study aims to …
reducing dropout rates on massive open online course (MOOC) platforms. This study aims to …
Analyzing students online learning behavior in blended courses using Moodle
RR Estacio, RC Raga Jr - Asian Association of Open Universities …, 2017 - emerald.com
Purpose The purpose of this paper is to describe a proposal for a data-driven investigation
aimed at determining whether students' learning behavior can be extracted and visualized …
aimed at determining whether students' learning behavior can be extracted and visualized …
Investigating learners' behaviors and discourse content in MOOC course reviews
X Peng, Q Xu - Computers & Education, 2020 - Elsevier
In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …