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 …

[HTML][HTML] Indicators for enhancing learners' engagement in massive open online courses: A systematic review

AA Ogunyemi, JS Quaicoe, M Bauters - Computers and Education Open, 2022 - Elsevier
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 …

Emotion-semantic-aware dual contrastive learning for epistemic emotion identification of learner-generated reviews in MOOCs

Z Liu, C Wen, Z Su, S Liu, J Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Identifying the epistemic emotions of learner-generated reviews in massive open online
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 …

MOOC dropout prediction using a hybrid algorithm based on decision tree and extreme learning machine

J Chen, J Feng, X Sun, N Wu, Z Yang… - Mathematical …, 2019 - Wiley Online Library
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 …

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 …

The functional architecture of human motivation: Personality systems interactions theory

J Kuhl, M Quirin, SL Koole - Advances in motivation science, 2021 - Elsevier
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 …

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 …

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 …

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 …