An early warning system to detect at-risk students in online higher education

D Bañeres, ME Rodríguez, AE Guerrero-Roldán… - Applied Sciences, 2020 - mdpi.com
Artificial intelligence has impacted education in recent years. Datafication of education has
allowed developing automated methods to detect patterns in extensive collections of …

Experiences in the use of an adaptive intelligent system to enhance online learners' performance: a case study in Economics and Business courses

AE Guerrero-Roldán, ME Rodríguez-González… - International Journal of …, 2021 - Springer
Several tools and resources have been developed in the past years to enhance the teaching
and learning process. Most of them are focused on the process itself, but few focus on the …

A predictive analytics infrastructure to support a trustworthy early warning system

D Baneres, AE Guerrero-Roldán… - Applied Sciences, 2021 - mdpi.com
Learning analytics is quickly evolving. Old fashioned dashboards with descriptive
information and trends about what happened in the past are slightly substituted by new …

Development of an Early Warning System to Support Educational Planning Process by Identifying At-Risk Students

M Skittou, M Merrouchi, T Gadi - IEEE Access, 2023 - ieeexplore.ieee.org
The development of data analysis techniques and intelligent systems has had a
considerable impact on education, and has seen the emergence of the field of educational …

A Real-Time Predictive Model for Identifying Course Dropout in Online Higher Education

D Baneres, ME Rodríguez-González… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Course dropout is a concern in online higher education, mainly in first-year courses when
different factors negatively influence the learners' engagement leading to an unsuccessful …

Exploring Higher Education Students' Experience with AI-powered Educational Tools: The Case of an Early Warning System

ME Rodríguez, JE Raffaghelli… - Formazione & …, 2024 - ojs.pensamultimedia.it
AI-powered educational tools (AIEd) include early warning systems (EWS) to identify at-risk
undergraduates, offering personalized assistance. Revealing students' subjective …

[PDF][PDF] First-Generation, Low-Income Students as Data Subjects in Higher Education Profiling and Prediction AI/ML Applications

C Pyle, N Andalibi - 2021 - researchgate.net
Artificial intelligence and machine learning applications span myriad contexts ranging from
policing to disease diagnostics. While scholars have demonstrated and condemned both …