Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach

X Xia, W Qi - Humanities and Social Sciences Communications, 2024 - nature.com
With the full application of MOOCs online learning, STEM multidisciplinary and knowledge
structures have been achieved, but it has also resulted in a massive number of dropouts …

Research on the factors influencing the learner satisfaction of MOOCs

B Du - Education and Information Technologies, 2023 - Springer
Learner satisfaction is the degree of consistency between learners' perception and
expectation of learning experience. In massive online open courses, analyzing the …

The construction of knowledge graphs based on associated STEM concepts in MOOCs and its guidance for sustainable learning behaviors

X Xia, W Qi - Education and Information Technologies, 2024 - Springer
The full implementation of MOOCs in online education offers new opportunities for
integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment …

Exploring the relationship between mental health-related problems and undergraduate student dropout: A case study within a civil engineering program

AA Del Savio, K Galantini, A Pachas - Heliyon, 2022 - cell.com
Dropout has always been a concerning issue within higher education. This research
explores the relationship between mental health-related problems and undergraduate …

Investment in employee developmental climate and employees' continued online learning behaviors: A social influence perspective

J Tan, CJ Zhu, MM Zhang - Human Resource Management, 2024 - Wiley Online Library
In the contemporary digital age, continued online learning behaviors have become
indispensable for fostering employee development. However, the learning and development …

Using sentiment analysis to identify student emotional state to avoid dropout in e-learning

MLDR Bóbó, F Campos, V Stroele… - International Journal of …, 2022 - igi-global.com
Dropping out of school comes from a long-term disengagement process with social and
economic consequences. Being able to predict students' behavior earlier can minimize their …

Exploring the synergy of improved convolutional neural networks and attention mechanisms for potential STEM knowledge concept recommendation in MOOCs

X Xia, W Qi - Revista de Psicodidáctica (English ed.), 2024 - Elsevier
The multi course association of STEM poses an important challenge to the learning
background of learners. Once learners do not have sufficient understanding of knowledge …

Vulnerability extraction and prediction method based on improved information gain algorithm

P Yang, X Wang - PloS one, 2024 - journals.plos.org
More and more attention has been paid to computer security, and its vulnerabilities urgently
need more sensitive solutions. Due to the incomplete data of most vulnerability libraries, it is …

Explorar la sinergia entre las redes neuronales de convolución mejoradas y los mecanismos de atención recomendados por posibles conceptos de conocimiento …

X Xiaona, Q Wanxue - Revista de Psicodidáctica, 2024 - Elsevier
Las asociaciones de múltiples cursos en STEM plantean un desafío importante para el
trasfondo de aprendizaje de los estudiantes. Cuando los estudiantes no tienen un …

Not All Best Practices Result in Best Performances: Two Empirical Studies of Online Accounting Education

MG Sanders - 2023 - search.proquest.com
Exploring the impact of specific pedagogical strategies in online accounting education on
student learning outcomes is central to this research. This two-study dissertation focuses on …