Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…

This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…

Numerous studies highlight that the high adoption rates of e-learning management systems (e-LMSs) are not necessarily matched by their actual use among students in sub-Saharan African higher education. Nevertheless, factors such as perceived behavioral control of e-LMS, teaching activities in e-LMS, administrative activities in e-LMS, and…

Digital nudging is a subtle technique used to guide individuals' behaviors and influence their decision-making processes in online environments. This study highlights the critical role of digital nudging in enhancing the educational experiences of students in distance learning settings. It suggests that digital nudges can mitigate some of the…

Purpose: Through the lens of the information systems success model, self-determination theory, and TAM2, this study proposes and tests an integrative model to investigate students' satisfaction with the use of e-learning systems in higher education institutions in a developing country context. Design/methodology/approach: This study adopted a…

Online education is an important component of education reform and one of the important learning modes in today's society, which can achieve the goal of learning anytime, anywhere and for everyone. Therefore, this paper constructs an analysis model of online education course emotional perception and course resource integration based on new media…

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…

This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…

Massive Open Online Courses (MOOCs) have become increasingly popular as a means of delivering education on a global scale. However, comparative analyses across different contexts remain limited. To enhance the effectiveness and inclusivity of MOOCs, it is essential to gain a deeper understanding of course characteristics and learner behaviors in…