New Pub: Gendered differences versus doing gender: a systematic review on the role of gender in CSCL

New Pub: Gendered differences versus doing gender: a systematic review on the role of gender in CSCL

Gender, Higher Education, Journal, Literature review, Meta-study, Open access, Publication, Special Issue, Team
How has CSCL research been treating the topic of Gender? Our systematic review on this topic is now published in Unterrichtswissenschaft and available online here. Gender equity in education is an essential UN sustainable development goal. However, it is unclear what aspects of gender are important to consider in regard to research outcomes as well as how findings can be interpreted in the context of gender stereotypes and bias. This lack of clarity is particularly salient in the STEM field. Computer-supported collaborative learning (CSCL) is a group learning method where learners work together on group tasks that aim at the sharing and co-construction of knowledge. Aside from the cognitive learning gains, the literature reports that CSCL can bring social and psychological benefits, such as fostering positive mutual relationships and increased understanding of equity and…
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Consortium meeting and research workshop of the HELA project

Consortium meeting and research workshop of the HELA project

Higher Education, Learning Analytics, Meta-study, Project, Workshop
On October 22st, 2021, Hendrik Drachsler contributed to the HELA project. Prof. Nina Begičević Ređep PhD, presented activities and results achieved in the seven months of project implementation and give an overview of upcoming research activities due to the end of the first project year. The HELA partners have set up a powerful machine learning literature review system and will focus on providing insights through meta-analysis on ethics & privacy, LA use cases, strategic planning for the adoption of learning analytics. On Friday, October 22nd, 2021, a research workshop will be held where the FOI team will present project results through three modules: 1) Conceptual framework of learning analytics (LA), 2) Strategic planning and decision making related to LA implementation and 3) LA use cases. After this, external associate Prof.…
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