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J. Bryan Osborne; Andrew S. I. D. Lang – Journal of Postsecondary Student Success, 2023
This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…
Descriptors: Identification, At Risk Students, Learning Management Systems, Prediction
Mills, Michael S.; Watson, Jessica Herring; Miller, Rachelle; Morrison, Mia – SRATE Journal, 2022
The focus of this research was measuring the effect of Twitter use in the classroom on students' acceptance of technology using the TAM-3 model. This mixed methods study revealed a significant effect from students' use of Twitter in classroom assignments not only on increasing candidates' view of Twitter as being useful, easy to use, and relevant…
Descriptors: Social Media, Technology Uses in Education, Telecommunications, Handheld Devices
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Pantiwati, Yuni; Sarib, Tasya Novian Indah; Nurkanti, Mia – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
The COVID-19 Pandemic has resulted the change in every sector of life. Education institutions transform their learning methods from face-to-face learning to online-based distance learning to keep the learning process running during the pandemic era. The purpose of this study is to obtain the description and analysis results regarding learning…
Descriptors: COVID-19, Pandemics, Biology, Science Education
Abou Adel, Mohammed – Arab World English Journal, 2022
This research aims to create a smart electronic course, which simplifies the information, and reduces the time and effort in acquiring it actively and interactively, with the implicit message that all courses should be updated and improved to a modern ornament that suits the learner's psychology, inclinations, and possibilities. It also meets the…
Descriptors: Second Language Learning, Second Language Instruction, Electronic Learning, Teaching Methods