Self-directed learning: A fundamental competence in a rapidly changing world

TH Morris - International Review of Education, 2019 - Springer
Self-directed learning is a fundamental competence for adults living in our modern world,
where social contextual conditions are changing rapidly, especially in a digital age. The …

Prediction in MOOCs: A review and future research directions

PM Moreno-Marcos, C Alario-Hoyos… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper surveys the state of the art on prediction in MOOCs through a systematic
literature review (SLR). The main objectives are: first, to identify the characteristics of the …

Exploring the responses of large language models to beginner programmers' help requests

A Hellas, J Leinonen, S Sarsa, C Koutcheme… - Proceedings of the …, 2023 - dl.acm.org
Background and Context: Over the past year, large language models (LLMs) have taken the
world by storm. In computing education, like in other walks of life, many opportunities and …

Factors affecting student dropout in MOOCs: a cause and effect decision‐making model

H Aldowah, H Al-Samarraie, AI Alzahrani… - Journal of Computing in …, 2020 - Springer
Massive open online courses (MOOCs) are among the latest e-learning initiative that have
gained a wide popularity among many universities. Student dropout in MOOCs is a major …

[HTML][HTML] Motivation to learn in massive open online courses: Examining aspects of language and social engagement

M Barak, A Watted, H Haick - Computers & Education, 2016 - Elsevier
Learning is mediated by language of instruction and social engagement. Both factors may
play a significant role in understanding motivation to learn in massive open online courses …

Dropout prediction in MOOCs: Using deep learning for personalized intervention

W Xing, D Du - Journal of Educational Computing Research, 2019 - journals.sagepub.com
Massive open online courses (MOOCs) show great potential to transform traditional
education through the Internet. However, the high attrition rates in MOOCs have often been …

Understanding dropouts in MOOCs

W Feng, J Tang, TX Liu - Proceedings of the AAAI conference on artificial …, 2019 - aaai.org
Massive open online courses (MOOCs) have developed rapidly in recent years, and have
attracted millions of online users. However, a central challenge is the extremely high dropout …

A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms

K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …

Taking action to reduce dropout in MOOCs: Tested interventions

I Borrella, S Caballero-Caballero, E Ponce-Cueto - Computers & Education, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) have democratized access to higher
education, but low entry and exit barriers make dropout rates in these courses much higher …

Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization

W Xing, X Chen, J Stein, M Marcinkowski - Computers in human behavior, 2016 - Elsevier
Massive open online courses (MOOCs) have recently taken center stage in discussions
surrounding online education, both in terms of their potential as well as their high dropout …