Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…

This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…

Peer review has been commonly applied to university-level online courses, but less at the high-school level. Little is known about high school students' tendencies when they give reviews to their peers, specifically which posts are more likely to receive reviews. This study adopted social network analysis, regression analysis and content analysis…

Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…

Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments.…

This article investigates the effect of participation in synchronous online discussions on the development of individual reasoning as manifested in reflective essays. Students from a fourth-grade classroom engaged in a series of real-time online discussions. The format of the discussion was based on the Collaborative Reasoning approach which has…

This study investigated the effect of time on the development of a community of inquiry by examining an online course offered over two different time periods. The study was guided by the Community of Inquiry (CoI) framework (Garrison, Anderson, & Archer, "The Internet and Higher Education" 2000; 2(2-3): 87-105). The focus was on a graduate level…

The present study focuses on the use of thinking types as a possible way to structure university students' discourse in asynchronous discussion groups and consequently promote their learning. More specifically, the aim of the study is to determine how requiring students to label their contributions by means of De Bono's (1991) thinking hats…

The coming era of Web 2.0 focuses on users' active online participation and interaction. Among such interactive media, the blog is one representative tool of online knowledge construction. The purpose of this study is to explore the behavioral patterns and the depth of knowledge construction when using blogs for teachers' professional development.…

Although Web 2.0 technologies have been recognized as effective means of conducting group learning activities, a critical and challenging issue of Web 2.0-based learning is the lack of mechanisms for promoting information exchanges and sharing among participating students. To cope with this problem, an intelligent blog system is proposed in this…

This article focuses on an evaluation of the impact of an innovative instructional design of internships in view of a new integrated pharmaceutical curriculum. A key innovative element was the implementation of a computer-supported collaborative learning environment. Students were, as part of their formal curriculum, expected to work in a…