Student perceptions and achievements of online learning: Machine learning approaches

Machine Learning Approaches for Inducing Student Models

The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is difficult to monitor the students' learning behaviours. A solution is the exploitation of automatic tools for the generation and discovery of user profiles, to obtain a simple student model based on his/her learning perf...

Blended and online learning: student perceptions and performance

Learner readiness for online learning: Scale development and student perceptions

The purpose of this study was to develop and validate a multidimensional instrument for college students’ readiness for online learning. Through a confirmatory factor analysis, the Online Learning Readiness Scale (OLRS) was validated in five dimensions: self-directed learning, motivation for learning, computer/Internet self-efficacy, learner control, and online communication self-efficacy. Rese...

Nursing student perceptions of community in online learning.

Nursing faculty need to understand the unique aspects of online learning environments and develop new pedagogies for teaching in the virtual classroom. The concept of community is important in online learning and a strong sense of community can enhance student engagement and improve learning outcomes in online courses. Student perceptions of community in online learning environments were explor...

Cultural Differences in Online Learning: International Student Perceptions

This article reports the findings of a case study that investigated the perceptions of international students regarding the impact of cultural differences on their learning experiences in an online MBA program. The study also revealed that online instructors need to design courses in such a way as to remove potential cultural barriers, including language, communication tool use, plagiarism, tim...