Explainable learning analytics to identify disengaged students early in semester: an intervention supporting widening participation

K Linden, N van der Ploeg, N Roman - Journal of Higher Education …, 2023 - Taylor & Francis
There is a small window of opportunity at the beginning of semester for a university to
provide commencing students with timely and targeted support. However, there is limited …

Understanding data-driven decision making approach in Chinese higher education through the lens of Bakers model

U Kalim, S Bibi - International Journal of Chinese Education, 2023 - journals.sagepub.com
Making decisions based on data is evolving in higher education worldwide. Higher
education institutions (HEIs) in China are also adopting this trend of data-driven decision …

[PDF][PDF] Data mining algorithms for prediction of student teachers' performance in ICT: a systematic literature review

JH Shindo, MM Mjahidi, MD Waziri - Inf. Technol. Learn. Tools, 2023 - lib.iitta.gov.ua
Poor ICT performance in teacher training colleges makes it more difficult for the majority of
teachers to successfully use ICT resources in their teaching and learning. When teachers …

A comprehensive evaluation model for university classroom teaching quality based on machine vision and Fermatean fuzzy sets

J Li, F Zhang, R Wang, H Ni, T Li - Soft Computing, 2023 - Springer
With the widespread application of information technology in higher education, the use of
machine vision technology to evaluate classroom quality provides a new idea for evaluating …

Investigating the relation between learning analytics and academic performance at the international modern Arabic school: a qualitative study

M Mukred, WA Ahmed, UA Mokhtar… - Current and Future Trends …, 2023 - Springer
Abstract The utilization of Learning Analytics (LA) has emerged as a pivotal instrument for
educational institutions seeking to gain a competitive edge in the swiftly changing realm of …

[HTML][HTML] Midwifery learning and forecasting: Predicting content demand with user-generated logs

A Guitart, AF Del Río, Á Periáñez… - Artificial Intelligence in …, 2023 - Elsevier
Every day, 800 women and 6700 newborns die from complications related to pregnancy or
childbirth. A well-trained midwife can prevent most of these maternal and newborn deaths …

Prediction of graduate learners' academic achievement in an online learning environment using a blended trauma course

A Eltayar, SR Aref, HM Khalifa… - Advances in Medical …, 2023 - Taylor & Francis
Background The concepts of online and blended education came into the limelight in the
19th century. Over time, the concepts expanded and reached a peak in 2021 in response to …

Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy

A Fries, M Pirotte, L Vanhee, P Bonnet… - Anatomical Sciences …, 2023 - Wiley Online Library
As a part of modern technological environments, virtual microscopy enriches histological
learning, with support from large institutional investments. However, existing literature does …

[HTML][HTML] Use of machine learning to assess factors affecting progression, retention, and graduation in first-year health professions students in Qatar: a longitudinal …

D Hammoudi Halat, ASG Abdel-Salam, A Bensaid… - BMC Medical …, 2023 - Springer
Background Across higher education, student retention, progression, and graduation are
considered essential elements of students' academic success. However, there is scarce …

Machine Learning Models for Student Performance Prediction

SM Pande - 2023 International Conference on Innovative Data …, 2023 - ieeexplore.ieee.org
Education is the key to success which provides multiple opportunities in the life. Education
not only contributes to individual success but also contributes to the success of the society …