A Region of Proximal Learning model of study time allocation
By Janet Metcalfe, Nate Kornell. 2005
119 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/43d5b713f31d3396c2344f290b9c8626bac059ef
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
- Jeffrey D. Karpicke
- H. Roediger III
- Tamara van Gog
- Heidi L. Andrade
- Bridgid M. Finn
- Anique B. H. de Bruin
- Patricia A. Alexander
- Todd M. Gureckis
In Cognitive Neuroscience
- Jeffrey D. Karpicke
- H. Roediger III
- Tamara van Gog
- Bridgid M. Finn
- Heidi L. Andrade
- Patricia A. Alexander
- Todd M. Gureckis
- Fei Xu
In General Decision Sciences
Citations in the corpus
- Improving self-monitoring and self-regulation: From cognitive psychology to the classroom (2012, background): “A competing hypothesis, the region of proximal learning account (Kornell & Metcalfe, 2006; Metcalfe, 2002; Metcalfe & Kornell, 2005), posits that students have adaptive strategies when regulating learning, and will for example allocate their attentional resources to studying the easiest parts or…”
- Metacognition and control of study choice in children (2013, methodology): “…learning have been proposed: The Discrepancy Reduction model (Dunlosky and Hertzog 1998; and see, Dunlosky and Thiede 1998; Thiede 1999) and the Region of Proximal Learning model (Metcalfe 2002; Metcalfe and Kornell 2003, 2005, which draws on Atkinson 1972; Berlyne 1978; Hebb 1949; Vygotsky 1987).”
- Enhanced Memory as a Common Effect of Active Learning (2016, background): “A number of studies have shown that this active control of study leads to better memory performance than when study time is randomly allocated or dictated by another person (Kornell & Metcalfe, 2006; Metcalfe & Kornell, 2005; Tullis & Benjamin, 2011).”
- A Critical Review of Research on Student Self-Assessment (2019, background): “First, if students have a chance to practice retrieval prior to restudying items, they almost exclusively choose to restudy unrecalled items and drop the previously recalled items from restudy (Metcalfe and Kornell, 2005).”
- Repeated retrieval during learning is the key to long-term retention (2007, background): “…will allocate more study time to items given lower judgments of learning (e.g., Nelson & Leonesio, 1988; Nelson, Dunlosky, Graf, & Narens, 1994; Mazzoni & Cornoldi, 1993), although some exceptions to this general pattern exist (e.g., Metcalfe & Kornell, 2003, 2005; Thiede & Dunlosky, 1999).”
- Focusing the Conceptual Lens on Metacognition, Self-regulation, and Self-regulated Learning (2008, background): “Studies that were retained in the metacognition pool dealt broadly with academics whether in school (e.g., Jacobs 2004) or out of school (e.g., Metcalfe and Kornell 2005).”