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.

Designing Massive Open Online Learning Processes: The importance of the social element

This is a pre-print for personal use only. Please refer to the Springer website for the official, published version http://www.springer.com/978-3-662-52923-2

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.

Recommending peers for learning: Matching on dissimilarity in interpretations to provoke breakdown

People recommenders are a widespread feature of social networking sites and educational social learning platforms alike. However, when these systems are used to extend learners’ Personal Learning Networks, they often fall short of providing recommendations of learning value to their users. This paper proposes a design of a people recommender based on content-based user profiles, and a matching method based on dissimilarity therein. It presents the results of an experiment conducted with curators of the content curation site Scoop.it!, where curators rated personalized recommendations for contacts. The study showed that matching dissimilarity of interpretations of shared interests is more successful in providing positive experiences of breakdown for the curator than is matching on similarity. The main conclusion of this paper is that people recommenders should aim to trigger constructive experiences of breakdown for their users, as the prospect and potential of such experiences encourage learners to connect to their recommended peers.

De digitale revolutie

Maakt ICT ons nou knapper of juist dommer? In amper twintig jaar is het maatschappelijk leven voor een groot deel verplaatst naar de virtuele ruimte. Alles en iedereen wordt digitaal met elkaar verbonden. Wat is de invloed van al die nieuwe technologie op ons begrip van de wereld, op ons gedrag, op onze cultuur? Wat betekent het voor het onderwijs? Deze sessie bespreekt de rol van media voor onze cognitieve ontwikkeling. Daartoe worden de ervaringen met oude media zoals geschreven tekst, radio en TV gekoppeld aan de wereld van Twitter, Apple, Facebook en Google, en wordt de blik gericht op wat ons nog te wachten staat.

De Digitale Revolutie

Maakt ICT ons nou knapper of juist dommer? In amper twintig jaar is het maatschappelijk leven voor een groot deel verplaatst naar de virtuele ruimte. Alles en iedereen wordt digitaal met elkaar verbonden. Wat is de invloed van al die nieuwe technologie op ons begrip van de wereld, op ons gedrag, op onze cultuur? Wat betekent het voor het onderwijs? Deze sessie bespreekt de rol van media voor onze cognitieve ontwikkeling. Daartoe worden de ervaringen met oude media zoals geschreven tekst, radio en TV gekoppeld aan de wereld van Twitter, Apple, Facebook en Google, en wordt de blik gericht op wat ons nog te wachten staat.

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.