Post-secondary online learning in the US: an integrative review of the literature on undergraduate student characteristics

AC Hachey, KM Conway, C Wladis, S Karim - Journal of Computing in …, 2022 - Springer
Even prior to the COVID-19 pandemic, online learning had become a fundamental part of
post-secondary education. At the same time, empirical evidence from the last decade …

Applying learning analytics for the early prediction of Students' academic performance in blended learning

OHT Lu, AYQ Huang, JCH Huang, AJQ Lin… - Journal of Educational …, 2018 - JSTOR
Blended learning combines online digital resources with traditional classroom activities and
enables students to attain higher learning performance through well-defined interactive …

A large-scale implementation of predictive learning analytics in higher education: The teachers' role and perspective

C Herodotou, B Rienties, A Boroowa, Z Zdrahal… - … technology research and …, 2019 - Springer
By collecting longitudinal learner and learning data from a range of resources, predictive
learning analytics (PLA) are used to identify learners who may not complete a course …

Influence of satisfaction and preparedness on online students' feelings of anxiety

M Abdous - The Internet and Higher Education, 2019 - Elsevier
As they transition from a face-to-face to an online learning environment, online students are
likely to feel anxious about their ability to succeed in what could be an unfamiliar learning …

The effect of blended learning on course persistence and performance of adult learners: A difference-in-differences analysis

N Deschacht, K Goeman - Computers & Education, 2015 - Elsevier
This article examines the effect of blended learning on adult learners' academic success.
Using a large administrative data set we test the impact of introducing a blended learning …

On-campus students taking online courses: Factors associated with unsuccessful course completion

CA Murphy, JC Stewart - The Internet and Higher Education, 2017 - Elsevier
On-campus students are requesting online course options, and campuses are increasingly
providing online sections of core courses, with a common offering involving online science …

The online STEM classroom—Who succeeds? An exploration of the impact of ethnicity, gender, and non-traditional student characteristics in the community college …

C Wladis, KM Conway… - Community College …, 2015 - journals.sagepub.com
Objective: This study analyzes how ethnicity, gender, and non-traditional student
characteristics relate to differential online versus face-to-face outcomes in science …

[HTML][HTML] El abandono estudiantil en programas de educación superior virtual: revisión de literatura

D Orellana, N Segovia… - Revista de la educación …, 2020 - scielo.org.mx
El abandono en educación superior virtual presenta múltiples causas interdependientes.
Este estudio consiste en una revisión de literatura en la que se identificaron 52 factores del …

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 …

Explaining persistence in online courses in higher education: a difference-in-differences analysis

S Lakhal, H Khechine, J Mukamurera - International Journal of …, 2021 - Springer
The aim of this study was to verify if the UTAUT model, enriched with anxiety and factors
relating to students characteristics and to the specificities of online courses, influences …