Measuring deep, reflective comprehension and learning strategies: challenges and successes
By Danielle S. McNamara. 2011
98 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/f46664d472ff8e36bf2fe907ff9328ae1616f1c4
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
- Gwo-Jen Hwang
- Hilde Van Keer
- D. Dimitrov
- Yves Rosseel
- Chiu-Lin Lai
- S. Vandevelde
- Charles Kemp
- Alan Jern
In Developmental and Educational Psychology
- Carla A. Reichard
- Kouider Mokhtari
- D. Dimitrov
- Gwo-Jen Hwang
- Hilde Van Keer
- Yves Rosseel
- Chiu-Lin Lai
- S. Vandevelde
Citations in the corpus
- Revising the Metacognitive Awareness of Reading Strategies Inventory (MARSI) and testing for factorial invariance (2018, background): “(MacNamara, 2011, p. 159) MacNamara’s appraisal of the status of the field reminds us that, as a research community, we have a great deal more to do to develop adequate measures for assessing the cognitive and metacognitive processes involved in reading and text understanding.”
- A self-regulated flipped classroom approach to improving students' learning performance in a mathematics course (2016, background): “These findings provide evidence that self-regulated learning strategies can benefit students in terms of the deliberate construction of knowledge and the use of effective learning strategies (McNamara, 2011).”
- Measuring the complexity of upper primary school children’s self-regulated learning: A multi-component approach (2013, background): “This reconstruction process might suffer from memory failure and distortions (Boekaerts & Corno, 2005; McNamara, 2011; Nisbett & Wilson, 1977; Schellings, 2011; Wirth & Leutner, 2008).”