Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…

Institutions and universities have started using e-learning systems to reach the potential students from all over the world by decreasing costs of investments. The speed of technological developments increases the importance of e-learning systems and their technology-based components. E-learning systems also decrease the costs of both institutions…

Due to COVID-19 pandemic, schools all over the world have gone from full face-to-face to online lessons. This paper analyzed the influences of social networking sites (SNS) on secondary school students' academic achievement. The original studies were extracted from the Web of Science database, and the review of the 27 selected journal articles…

The potential of online collaborative learning has been recognized in teacher education, and the value student teachers' collective agency in predict their sustainable professional develop has been discussed. However, there is limited understanding of how student teachers' collaborative knowledge construction behaviors correlate with their…

Many professionals consider computational thinking an essential skill in the twenty-first century. Furthermore, some studies demonstrate that computer-based networking skills and digital environments can improve computational thinking. A challenging question to be addressed is whether informal learning in a digital context is related to…

During the COVID-19 quarantine, we conducted a field-setting pre/post-test randomized experiment (n = 115), creating a community using the social media application Instagram to enhance students' interactions with their peers and immediate physical environments in a large, introductory online course in environmental psychology. We used the…

This research proposes a methodological approach to using the social network Instagram® as a tool for collaborative e-learning activities in higher education. Collaborative e-learning activities are conducted on Instagram® through challenges and quizzes. The main aim of these activities is to encourage students' creativity, motivation for…

The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…

In this work, we study the feeling of membership in undergraduate students who interact with their higher education institution through a virtual environment. We explore the "Centro de Investigaciones en Diseño Industrial" (CIDI) case, in which a virtual environment was built using the Roblox platform to enhance the online experience…

The purpose of this research is to better understand community formation in MOOCs through employing combined lenses of connectivism, rhizomatic learning, actor-network theory, community of practice, and community of inquiry. In a sequential explanatory mixed methodology design, social network analysis and nethnography were used to analyze and…

Artificial intelligence (AI) has been widely explored across the world over the past decades. A particularly emerging topic is the application of AI in e-learning (AIeL) to improve the effectiveness of teaching and learning in precision education. This study aims to systematically review publication patterns for AIeL research with a focus on…

The collaborative reading annotation system (CRAS) has been proved its success in promoting reading performance in comparison with traditional paper-based reading. However, there is still lack of an effective formative assessment and feedback mechanisms in the CRAS, which can assist learners to promote their self-regulated learning and reflection.…

Although the importance of boundary spanning in blended and online learning is widely acknowledged, most educational research has ignored whether and how students learn from others outside their assigned group. One potential approach for understanding cross-boundary knowledge sharing is Social Network Analysis (SNA). In this article, we apply four…

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the…

E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…