Florian Sense
Florian Sense
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Zitiert von
Zitiert von
An individual's rate of forgetting is stable over time but differs across materials
F Sense, F Behrens, RR Meijer, H van Rijn
Topics in cognitive science 8 (1), 305-321, 2016
Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis
F Sense, CC Morey, M Prince, A Heathcote, RD Morey
Behavior Research Methods 49 (3), 853-862, 2017
Making the Most of Human Memory: Studies on Personalized Fact-learning and Visual Working Memory
F Sense
University of Groningen, 2017
On the Link between Fact Learning and General Cognitive Ability.
F Sense, RR Meijer, H van Rijn
CogSci, 2016
Within-subject performance on a real-life, complex task and traditional lab experiments: Measures of word learning, Raven matrices, tapping, and CPR
F Sense, S Maaß, K Gluck, H van Rijn
Journal of cognition 2 (1), 2019
Exploration of the Rate of Forgetting as a Domain-Specific Individual Differences Measure
F Sense, RR Meijer, H van Rijn
Frontiers in Education 3, 112, 2018
Developing a University-Wide Primary Prevention Intervention for Prescription Stimulant Misuse and Diversion in College Students
JA He, F Sense, KM Antshel
The ADHD Report 23 (1), 1-9, 2015
Stability of Individual Parameters in a Model of Optimal Fact Learning
F Sense, F Behrens, RR Meijer, H van Rijn
Proceedings of the 13th International Conference on Cognitive Modeling, 2015
Using the selection, optimization, and compensation model of action-regulation to explain college students’ grades and study satisfaction.
D Moghimi, NW Van Yperen, F Sense, H Zacher, S Scheibe
Journal of Educational Psychology, 2020
Reflections of Idiographic Long-Term Memory Characteristics In Resting-State Neuroimaging Data
P Zhou, F Sense, H Van Rijn, A Stocco
BioRxiv, 2020
Using Predicted Rate of Forgetting in Adaptive Fact Learning
M van der Velde, F Sense, J Borst, H van Rijn
Perspectives on Computational Models of Learning and Forgetting
F Sense, TS Jastrzembski, MC Mozer, M Krusmark, H van Rijn
International Conference on Cognitive Modeling, 2019
Keeping Bystanders Active: Resuscitating Resuscitation Skills
SC Maass, F Sense, K Gluck, H Van Rijn
Frontiers in public health 7, 177, 2019
Probabilistic motor sequence learning in a virtual reality serial reaction time task
F Sense, H van Rijn
PloS one 13 (6), 2018
Working memory consolidation does not necessarily delay response selection: Disentangling the costs of task initiation and execution
F Sense, B Wyble, M Nieuwenstein
Journal of Vision 13 (9), 332-332, 2013
The effect of motivation when using a personalized fact-learning system Florian Sense1, 2, 3, Berry van den Berg1, 3, 4, Don van Ravenzwaaij2, & Hedderik van Rijn1, 2, 3
F Sense, B van den Berg, D van Ravenzwaaij, H van Rijn
Predicting Performance in Cardiopulmonary Resuscitation
KA Gluck, MG Collins, MA Krusmark, F Sense, S Maaß, H van Rijn
Kickstarting Adaptive Fact Learning Using Hierarchical Bayesian Modelling
M van der Velde, F Sense, J Borst, H van Rijn
An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning
F Sense, T Jastrzembski, M Krusmark, S Martinez, H van Rijn
Interactions of Declarative and Procedural Memory in Real-Life Tasks: Validating CPR as a New Paradigm
F Sense, S Maass, H van Rijn
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