M
Maik Beege
Researcher at Chemnitz University of Technology
Publications - 36
Citations - 712
Maik Beege is an academic researcher from Chemnitz University of Technology. The author has contributed to research in topics: Cognitive load & Computer science. The author has an hindex of 11, co-authored 27 publications receiving 346 citations.
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A meta-analysis of how signaling affects learning with media
TL;DR: In this article, a meta-analysis includes 103 studies and N = 12,201 participants to determine separate mean effect sizes for retention and transfer performance measures, and the results support the positive effect of signaling on motivation/affect, learning time, and learning-relevant fixations.
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The autonomy-enhancing effects of choice on cognitive load, motivation and learning with digital media
TL;DR: In this paper, the authors examined the mediational influences of learners' perceived autonomy and intrinsic motivation on choice effects and the moderating influence of the relevance of choice options and found that both retention and transfer performance (learning scores) were enhanced by choice options.
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A Meta-analysis of the Segmenting Effect
Guenter Daniel Rey,Maik Beege,Steve Nebel,Maria Wirzberger,Tobias H. Schmitt,Sascha Schneider +5 more
TL;DR: The segmenting effect states that people learn better when multimedia instructions are presented in (meaningful and coherent) learner-paced segments, rather than as continuous units as mentioned in this paper, which is confirmed for a system-paced segmentation.
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Look into my eyes! Exploring the effect of addressing in educational videos
TL;DR: This paper investigated the influence of addressing (as a social encounter of parasocial interaction ) on learning performance in an educational video and found that parasocial interactions might lead to deeper cognitive processing and affective states which are beneficial for learning.
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Anthropomorphism in decorative pictures: Benefit or harm for learning?
TL;DR: In this article, the authors examined the effects of anthropomorphic features when included in decorative pictures in multimedia learning materials and found that both human faces and anthropomorphic labels were able to increase the learning performance on cognitive assessments.