Self-regulated learning and social media – a ‘natural’ alliance? Evidence on students’ self-regulation of learning, social media use and student-teacher relationship

Article is available at: http://www.tandfonline.com/doi/full/10.1080/17439884.2015.1064953.

Social media integration for the purpose of self-regulated learning

In this study, design based research in a teacher design team is performed. Teachers who intend to use social media to extend their school class teaching, are confronted with a lack of clear guidelines that inform them how to utilize them effectively. In this study, we aim at formulating such guidelines and testing their usefulness. First, opportunities to facilitate self-regulated learning (SRL) in higher education through the use of social media are elaborated in a literature study. Second, these opportunities are translated into teacher education to search for stimulating and limiting factors within the design, resulting in guidelines for effective social media integration.

D9.2 - RAGE website

This deliverable comprises the general description of the RAGE project public website – referred also as the RAGE website, accessible at http://www.rageproject.eu. The RAGE website main objectives are to raise awareness about the project activities as well as to incentivise engagement from targeted stakeholder communities. It integrates social media networks such as Twitter, Google+ and LinkedIn and has been developed using Wordpress as Content Management System (CMS). The RAGE website is constantly monitored for content management and technical support purposes.

Predicting Academic Performance Based on Students' Blog and Microblog Posts

This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected from six student cohorts, from six consecutive installments of the Web Applications Design course, comprising of 343 students. A significant model was obtained by relying on the textual complexity and longitudinal analysis indices, applied on the English contributions of 148 students that were actively involved in the undertaken projects.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.