Cognitive effort during note taking

By Annie Piolat, T. Olive, Ronald T. Kellogg. 2005

574 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/14530c61298a4ef919da83c045e815b52de09479

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

1. George Giannakopoulos
2. Michael Elhadad
3. Josef Steinberger
4. P. Vekaria
5. Crystal M. Ramsay
6. Stephen T. Peverly
7. Joanna K. Garner

In Experimental and Cognitive Psychology

1. P. Vekaria
2. Stephen T. Peverly
3. Joanna K. Garner
4. Christine D. Tippett

Citations in the corpus

• Both handwriting speed and selective attention are important to lecture note-taking (2014, methodology): “Taking lecture notes is very effortful (Piolat et al., 2005) and would seem to require students to monitor effectively all of the cognitive processes involved in note-taking.”
• Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish (2013, background): “Our find may be related to the (implied) effort of taking notes while reading, which can be a difficult cognitive process (Piolat et al., 2005).”
• The Relationship of Handwriting Speed, Working Memory, Language Comprehension and Outlines to Lecture Note‐taking and Test‐taking among College Students (2013, background): “We investigated two variables that cognitive task analyses of lecture note-taking suggest are among the higher order cognitive constructs needed to take high quality lecture notes: language comprehension and working memory (Kobayashi, 2005; Peverly, 2006; Piolat et al., 2005).”