Florian Sense
Florian Sense
rug.nl üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
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
On the Link between Fact Learning and General Cognitive Ability.
F Sense, RR Meijer, H van Rijn
CogSci, 2016
Making the Most of Human Memory: Studies on Personalized Fact-learning and Visual Working Memory
F Sense
University of Groningen, 2017
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 136, 141, 2015
Keeping Bystanders Active: Resuscitating Resuscitation Skills
SC Maass, F Sense, K Gluck, H Van Rijn
Frontiers in public health 7, 177, 2019
Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates
M van der Velde, F Sense, JP Borst, H van Rijn
PsyArXiv, 2020
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
Deconvolving a Complex, Real-Life Task: Do standard lab tasks predict CPR learning and retention?
S Maaß, F Sense, M Krusmark, KA Gluck, H van Rijn
CogSci, 3520, 2019
An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning.
F Sense, TS Jastrzembski, M Krusmark, S Martinez, H van Rijn
CogSci, 1029-1034, 2019
Probabilistic motor sequence learning in a virtual reality serial reaction time task
F Sense, H van Rijn
PloS one 13 (6), e0198759, 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
Improving Predictive Accuracy of Models of Learning and Retention Through Bayesian Hierarchical Modeling: An Exploration with the Predictive Performance Equation
M Collins, F Sense, M Krusmark, TS Jastrzembski
Using K-means Clustering for Out-of-Sample Predictions of Memory Retention
F Sense, M Collins, M Krusmark, TS Jastrzembski
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Makaleler 1–20