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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: myown modeling ACT-R cognition learning performance]
Cognitive modeling meets instructional design: Exploring Cognitive Load Theory with ACT-R. In Carolin Wienrich, Thorsten O. Zander, and Klaus Gramann (Eds.), Trends in Neuroergonomics. Proceedings of the 11th Berlin Workshop Human-Machine Systems, 190--193, Universitätsverlag der TU Berlin, Berlin, 2015. [PUMA: myown modeling ACT-R instruction cognition load learning]
Inspecting cognitive load factors in digital learning settings with ACT-R. In Thomas Arnold, Benjamin Heinzerling, Christopher Tauchmann, Tim Grube, Max Maaß, and Nora Wessels (Eds.), Dagstuhl 2017. Proceedings of the 11th Joint Workshop of the German Research Training Groups in Computer Science, 62, 2017. [PUMA: myown ACT-R load learning digital]
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: myown modeling ACT-R interruptions learning performance]
Modeling load factors in multimedia learning: An ACT-R approach. In Benedikt Etzold, Ren\´e Richter, Maximilian Eibl, and Wolfgang Lehner (Eds.), Dagstuhl 2016. Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science, 98, Universitätsverlag Chemnitz, Chemnitz, 2016. [PUMA: myown modeling multimedia ACT-R cognition load learning]
CLT meets ACT-R: Modeling load-inducing factors in instructional design. In Joachim Funke, Jan Rummel, and Andreas Voß (Eds.), Abstracts of the 58th Conference of Experimental Psychologists, 377, Pabst Science Publishers, Lengerich, 2016. [PUMA: myown modeling ACT-R instruction cognition load learning]