Memory-related cognitive load effects in an interrupted learning task: A model-based explanation. Trends in Neuroscience and Education, 100139, Elsevier, 2020. [PUMA: ACT-R cognition learning llis load modeling myown]
Smart@load? Modeling interruption while using a Smartphone-app in alternating workload conditions. 2014. [PUMA: ACT-R cognition interruptions modeling myown resumption smartphone] URL
CLT meets ACT-R: Modeling load-inducing factors in instructional design. In Joachim Funke, Jan Rummel, und Andreas Voß (Hrsg.), Abstracts of the 58th Conference of Experimental Psychologists, 377, Pabst Science Publishers, Lengerich, 2016. [PUMA: ACT-R cognition instruction learning load modeling myown]
Cognitive modeling meets instructional design: Exploring Cognitive Load Theory with ACT-R. In Carolin Wienrich, Thorsten O. Zander, und Klaus Gramann (Hrsg.), Trends in Neuroergonomics. Proceedings of the 11th Berlin Workshop Human-Machine Systems, 190--193, Universitätsverlag der TU Berlin, Berlin, 2015. [PUMA: ACT-R cognition instruction learning load modeling myown]
Examining load-inducing factors in instructional design: An ACT-R approach. In David Reitter, und Frank Ritter (Hrsg.), Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016), 223--224, University Park, PA, Penn State, 2016. [PUMA: ACT-R cognition instruction load modeling myown]
A model-based explanation of performance related changes in abstract stimulus-response learning. 52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts, 19--20, Society for Mathematical Psychology, Montreal, QB, 2019. [PUMA: ACT-R cognition learning modeling myown performance]
Modeling load factors in multimedia learning: An ACT-R approach. In Benedikt Etzold, Ren\´e Richter, Maximilian Eibl, und Wolfgang Lehner (Hrsg.), Dagstuhl 2016. Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science, 98, Universitätsverlag Chemnitz, Chemnitz, 2016. [PUMA: ACT-R cognition learning load modeling multimedia myown]
"I don’t need it!" – Modeling ad-induced interruption while using a Smartphone-app. CrossWorlds 2014: Theory, Development and Evaluation of Social Technology, 2014. [PUMA: ACT-R interruptions modeling myown smartphone]
Inspecting cognitive load factors in digital learning settings with ACT-R. In Thomas Arnold, Benjamin Heinzerling, Christopher Tauchmann, Tim Grube, Max Maaß, und Nora Wessels (Hrsg.), Dagstuhl 2017. Proceedings of the 11th Joint Workshop of the German Research Training Groups in Computer Science, 62, 2017. [PUMA: ACT-R digital learning load myown]
An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task. 41st Annual Meeting of the Cognitive Science Society, 1206--1211, Cognitive Science Society, Montreal, QB, 2019. [PUMA: ACT-R interruptions learning modeling myown performance]
Modeling cognitive load effects in an interrupted learning task: An ACT-R approach. In Glenn Gunzelmann, Andrew Howes, Thora Tenbrink, und Eddy Davelaar (Hrsg.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 3540--3545, Cognitive Science Society, Austin, TX, 2017. [PUMA: ACT-R interruptions learning modeling myown] URL
Modeling interruption and resumption in a smartphone task: An ACT-R approach. i-com, (14)2Walter de Gruyter GmbH, 2015. [PUMA: ACT-R interruptions modeling myown smartphone]