Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Social factors, including social ties (the extent to which students form social ties with other students in the course) and social capital (the resources which are accessed through our social networks), have been acknowledged as important predictors of learning outcomes. Furthermore, they may be particularly important in online distance learning…

This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher identities while also examining the mediating role of mobile learning in this relationship. Additionally, it explores the impact of pre-service teachers' digital literacy and learning motivations on their…

A mediation model was developed and tested through structural equation modeling, explicating the relationships among student interaction, social presence (perceiving others as "real" in an online environment), and student satisfaction with online learning in counselor education, with a national sample of 378 participants enrolled in US.…

Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…

Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…

Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…

Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…

Research shows that gamified learning experiences can effectively improve the outstanding issues of students in online learning, such as lack of continuous motivation and easy burnout, thereby improving the effectiveness of online learning. However, how to enhance the gamified learning experience in online learning, and what impact there is…

This study examines Arkansas early childhood practitioners' propensity for self-directed learning when using mobile phones to participate in self-paced online professional development. Further, the activity system model provides context for understanding practitioners' willingness to use technology, like smartphones, to adopt new information when…

In higher education, motivational factors are considered one of "the strongest predictors of academic performance" (Honike et al., 2020, p. 1). A meta-analysis of face-to-face (f2f) courses (Richardson et al., 2012) supports these claims, finding a strong correlation between performance self-efficacy and academic performance (r = 0.59),…

Despite the growing attention on the use of online scaffolding to enhance argumentation skills, there has not been a comprehensive review conducted in this specific area. There is a lack of understanding of both the current state of online scaffolding for acquiring argumentation skills and the specific research gaps that exist. This article…

Students always suffer from burnout during online learning. Although social support and cognitive engagement are associated with learning burnout, limited information is available on whether and how these relationships change over time in an online learning setting. This study investigated the longitudinal relationships between social support,…

Introduction: This study aimed to investigate the relationship between Achievement Goal Orientation, Self-Efficacy, and Academic Dishonesty among college students during online learning. Method: A total of 238 students from students colleges in Indonesia completed an online questionnaire consisting of scales measuring Achievement Goal Orientation,…

The purpose of this study is to explore the mediating role of satisfaction on attitude and usage continuity of higher education students in National Assessment and Accreditation Council accrediated institutes in India in the context of an elearning environment. To investigate the issue, we collected data from 634 students in the elearning…