Age differences in behavioral and neural correlates of proactive interference: Disentangling the role of overall working memory performance

NeuroImage ◽  
2016 ◽  
Vol 127 ◽  
pp. 376-386 ◽  
Author(s):  
Sandra V. Loosli ◽  
Benjamin Rahm ◽  
Josef M. Unterrainer ◽  
Irina Mader ◽  
Cornelius Weiller ◽  
...  
2019 ◽  
Vol 12 (2) ◽  
pp. 191-208 ◽  
Author(s):  
Sascha Zuber ◽  
Andreas Ihle ◽  
Vanessa M. Loaiza ◽  
Katharina M. Schnitzspahn ◽  
Christoph Stahl ◽  
...  

2021 ◽  
Vol 57 (2) ◽  
pp. 241-252
Author(s):  
Jutta Kray ◽  
Barbara K. Kreis ◽  
Corinna Lorenz

2019 ◽  
Vol 84 (6) ◽  
pp. 1635-1654 ◽  
Author(s):  
Thomas S. Redick ◽  
Elizabeth A. Wiemers ◽  
Randall W. Engle

2001 ◽  
Vol 130 (2) ◽  
pp. 199-207 ◽  
Author(s):  
Cindy Lustig ◽  
Cynthia P. May ◽  
Lynn Hasher

2012 ◽  
Vol 24 (3) ◽  
pp. 243-255 ◽  
Author(s):  
Barbara Carretti ◽  
Irene Cristina Mammarella ◽  
Erika Borella

2015 ◽  
Vol 4 (2) ◽  
pp. 142 ◽  
Author(s):  
Seffetullah Kuldas ◽  
Shahabuddin Hashim ◽  
Hairul Nizam Ismail ◽  
Zainudin Abu Bakar

<p class="p1">Human cognitive capacity is unavailable for conscious processing of every amount of instructional messages. Aligning an instructional design with learner expertise level would allow better use of available working memory capacity in a cognitive learning task. Motivating students to learn consciously is also an essential determinant of the capacity usage. However, motivational factors are often subject to unconscious rather than conscious emotional processing. This review sets out the need for further studies to elucidate the role of motivation and unconscious processing in the use of cognitive capacity<span class="s1">. </span></p>


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