B
Bas Giesbers
Researcher at Erasmus University Rotterdam
Publications - 54
Citations - 2018
Bas Giesbers is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Educational technology & Blended learning. The author has an hindex of 18, co-authored 52 publications receiving 1716 citations. Previous affiliations of Bas Giesbers include Open University & Maastricht University.
Papers
More filters
Book ChapterDOI
Student Learning Preferences in a Blended Learning Environment: Investigating the Relationship Between Tool Use and Learning Approaches
TL;DR: In this paper, the authors studied how students self-regulate their learning in a blended learning environment and found that students adapt their learning strategies to their individual preferences in the context of introductory statistics to first-year students.
Book ChapterDOI
The diverging effects of social network sites on receiving job information for students and professionals
TL;DR: In this paper, the authors assess the role of individuals seeking a job and receiving information about job openings in Social Network Sites (SNSs) such as Facebook or LinkedIn, and find that professionals with more links are more likely to receive information about a job opening.
Book ChapterDOI
Cultural Differences in Learning Dispositions
TL;DR: This paper investigated the cultural differences in learning-related dispositions among 7,300 first year students from 81 different nationalities, using the framework of Hofstede (Culture's consequences: international differences in work-related values), and found that students of the Confucian culture appear to possess relative undifferentiated conceptions of performance goals and memorisation-based learning processes.
Proceedings ArticleDOI
Content-Based Positioning in Learning Networks
TL;DR: A content-based approach to positioning that uses latent semantic analysis to compare learner portfolios to contents offered in the learning network and the behavior of those participating in it is presented.
A dynamic analysis of why learners develop a preference for autonomous learners in CMC
TL;DR: In this article, the degree of self-determination of learners, that is the motivational orientation of a learner, influences the communication and interaction patterns in an online Problem Based Learning environment.