Daniel Fellman

TL;DR: The obtained results contribute to the existing research of WM in e-learning environments, and suggest that individual differences in verbal WM performance can be predicted by how students interact on e- learning platforms.

TL;DR: The results showed that higher levels of COVID-19-related anxiety during the first weeks of the pandemic outbreak were associated with poorer WM performance as measured by the n-back paradigm, which could not be explained by demographic factors, or other psychological factors such as state and trait anxiety or fluid intelligence.

TL;DR: The findings suggest that WM has a rather limited role in the clinical manifestation of PD, and the updating component of WM could be a candidate for a cognitive marker of PD also in patients who are otherwise cognitively well-preserved.

TL;DR: This paper investigated the transfer effects of a novel sentence-level working memory training regime on untrained tasks and found no statistically significant training effects on the pre-post measures of near and far transfer.

TL;DR: This study sought to probe how interindividual differences in relevant background characteristics relate to retrieval practice activities in e-learning on a massive open online course (MOOC) platform where students have the optional possibility to quiz themselves on the to-be-learned materials.