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Florian Sense
Florian Sense
Verified email at rug.nl - Homepage
Title
Cited by
Cited by
Year
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
622016
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
412017
Lockdown learning: Changes in online foreign-language study activity and performance of dutch secondary school students during the covid-19 pandemic
M van der Velde, F Sense, R Spijkers, M Meeter, H van Rijn
Frontiers in Education 6, 2021
272021
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 113 (1), 181, 2021
132021
Alleviating the cold start problem in adaptive learning using data-driven difficulty estimates
M van der Velde, F Sense, J Borst, H van Rijn
Computational Brain & Behavior 4 (2), 231-249, 2021
102021
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
102018
Predicting university students’ exam performance using a model-based adaptive fact-learning system
F Sense, M van der Velde, H van Rijn
Journal of Learning Analytics 8 (3), 155-169, 2021
92021
Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data
P Zhou, F Sense, H van Rijn, A Stocco
Cognition 212, 104660, 2021
72021
An individual's rate of forgetting is stable over time but differs across materials. Topics in Cognitive Science, 8 (1), 305–321
F Sense, F Behrens, RR Meijer, H van Rijn
62016
Benefits of adaptive learning transfer from typing-based learning to speech-based learning
T Wilschut, F Sense, M van der Velde, Z Fountas, SC Maaß, H Van Rijn
Frontiers in artificial intelligence 4, 2021
52021
Deploying a Model-based Adaptive Fact-Learning System in University Courses
F Sense, M van der Velde, H van Rijn
16th International Conference on Cognitive Modeling, 2018
52018
Cognition‐Enhanced Machine Learning for Better Predictions with Limited Data
F Sense, R Wood, MG Collins, J Fiechter, A Wood, M Krusmark, ...
Topics in cognitive science 14 (4), 739-755, 2022
42022
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
42019
Probabilistic motor sequence learning in a virtual reality serial reaction time task
F Sense, H van Rijn
PloS one 13 (6), e0198759, 2018
42018
On the Link between Fact Learning and General Cognitive Ability.
F Sense, RR Meijer, H van Rijn
CogSci, 2016
42016
Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator
M van der Velde, F Sense, JP Borst, L van Maanen, H van Rijn
Topics in Cognitive Science, 2021
32021
Translating a typing-based adaptive learning model to speech-based L2 vocabulary learning
T Wilschut, M van der Velde, F Sense, Z Fountas, H van Rijn
Proceedings of the 29th ACM conference on user modeling, Adaptation and …, 2021
32021
Using K-means Clustering for Out-of-Sample Predictions of Memory Retention.
F Sense, MG Collins, TS Jastrzembski, M Krusmark
CogSci, 2020
32020
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
32019
Predicting performance in cardiopulmonary resuscitation
KA Gluck, MG Collins, MA Krusmark, F Sense, S Maaß, H van Rijn
Proceedings of the 17th International Conference on Cognitive Modeling, 53-58, 2019
32019
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