M
Maria C. Busstra
Researcher at Wageningen University and Research Centre
Publications - 18
Citations - 265
Maria C. Busstra is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Digital learning & Instructional design. The author has an hindex of 8, co-authored 16 publications receiving 236 citations.
Papers
More filters
Journal ArticleDOI
Differences in learning processes between successful and less successful students in computer-supported collaborative learning in the field of human nutrition and health
TL;DR: It is revealed that the learning processes of successful and less successful students in the CSCL environment differed in terms of relevance, width and depth of discussion and justification and reasoning.
Journal ArticleDOI
Online discussion compensates for suboptimal timing of supportive information presentation in a digitally supported learning environment
Omid Noroozi,Maria C. Busstra,Martin Mulder,Harm J. A. Biemans,Hilde Tobi,Anouk Geelen,Pieter van 't Veer,Mohammad Chizari,Mohammad Chizari +8 more
TL;DR: Online discussion in CSCL appeared to compensate for suboptimal timing of presentation of supportive information before the learning task clusters in IDLM, which led to better results than personal discussion.
Journal ArticleDOI
Tissue levels of fish fatty acids and risk of colorectal adenomas: a case-control study (Netherlands).
Maria C. Busstra,C L E Siezen,M.J.A.L. Grubben,H. van Kranen,Fokko M. Nagengast,P. van 't Veer +5 more
TL;DR: In line with the hypothesis, a high ratio of fish fatty acids to AA in adipose tissue was associated with a lower risk of colorectal adenomas and tissue levels of AA were positively associated withAdenomas, although not statistically significant.
Journal ArticleDOI
Design guidelines for the development of digital nutrigenomics learning material for heterogeneous target groups
TL;DR: This study describes digital nutrigenomics learning material suitable for students from various backgrounds and provides design guidelines for the development of the learning material.
Journal ArticleDOI
Comparison of approaches to correct intake–health associations for FFQ measurement error using a duplicate recovery biomarker and a duplicate 24 h dietary recall as reference method.
TL;DR: Calibration to a gold standard reference method is the preferred approach to correct intake– health associations for FFQ measurement error and using the 24hR as reference method only partly removes the errors, but may result in improved intake–health associations.