The Cambridge Handbook of Multimedia Learning: An Integrated Model of Text and Picture Comprehension
By Wolfgang Schnotz. 2005
425 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/d98887ae2ec4b7c2df8be394193f23f1c0aa7b50
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Olusola O. Adesope
- Jan L. Plass
- Narayankripa Sundararajan
- Mireille Bétrancourt
- Sandra Berney
- Martina A. Rau
- Melina Klepsch
- Christian Kürschner
In Experimental and Cognitive Psychology
- Olusola O. Adesope
- Narayankripa Sundararajan
- Jan L. Plass
- Tina Seufert
- Richard E. Mayer
- Martina A. Rau
- Melina Klepsch
- Eric Jamet
Citations in the corpus
- Keep it Coherent: A Meta-Analysis of the Seductive Details Effect (2020, methodology): “Moreover, using diagrams to improve student learning is supported by much theoretical (Ainsworth 2006; Schnotz 2005) and empirical work (See Rey 2016 for a review).”
- The role of working memory components in multimedia comprehension (2008, methodology): “The model was recently extended to take account of multimodality in the processing of multimedia documents (Schnotz, 2005).”
- The Impact of Illustrations and Warnings on Solving Mathematical Word Problems Realistically (2014, methodology): “That is why Schnotz (2005) argued that learners with sufficiently high prior knowledge about the content perform better with only one information source (text or illustration).”
- Does animation enhance learning? A meta-analysis (2016, background): “B etrancourt / Computers & Education 101 (2016) 150e167 151 From a cognitive point of view, Schnotz and colleagues (Schnotz & Rasch, 2005; Schnotz, 2005) described the potential benefits of animation to learning in terms of enabling and facilitating effects.”
- Understanding instructional design effects by differentiated measurement of intrinsic, extraneous, and germane cognitive load (2020, methodology): “Based on theoretical assumptions of CLT and the Cognitive Theory of Multimedia Learning (CTML; Mayer 2005a), as well as the integrated model of text and picture comprehension (IMTPC; Schnotz 2005), many instructional design principles have been developed and investigated.”
- How Students Learn Content in Science, Technology, Engineering, and Mathematics (STEM) Through Drawing Activities (2019, positive): “…revised version of the GTDC, the cognitive theory of drawing construction (CTDC; Van Meter and Firetto 2013), accounts for self-regulation by building on the frameworks for self-regulated learning (Winne and Hadwin 1998) and for integrated text and picture comprehension (Schnotz 2002, 2005, 2014).”
- Foundations of Game-Based Learning (2015, background): “Research suggests that learning can be facilitated when information is available in more than one format (Moreno & Dur (cid:2) an, 2004; Paivio, 1986; Schnotz, 2005), though this depends on the function of the multiple representations (Ainsworth & Van Labeke, 2004).”
- How to make ‘more’ better? Principles for effective use of multiple representations to enhance students’ learning about fractions (2017, background): “Connection making involves mapping corresponding features across different visual representations (Schnotz 2005).”
- Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016, neutral): “(Schnotz, 2005, p. 78).”