PUMA publications for /tag/ACT-R%20learningSat Sep 23 09:31:13 CEST 2023Trends in Neuroscience and Education100139Memory-related cognitive load effects in an interrupted learning task: A model-based explanation2020ACT-R cognition learning llis load modeling myown Background The Cognitive Load Theory provides a well-established framework for investigating aspects of learning situations that demand learners’ working memory resources. However, the interplay of these aspects at the cognitive and neural level is still not fully understood. Method We developed four computational models in the cognitive architecture ACT-R to clarify underlying memory-related strategies and mechanisms. Our models account for human data of an experiment that required participants to perform a symbol sequence learning task with embedded interruptions. We explored the inclusion of subsymbolic mechanisms to explain these data and used our final model to generate fMRI predictions. Results The final model indicates a reasonable fit for reaction times and accuracy and links the fMRI predictions to the Cognitive Load Theory. Conclusions Our work emphasizes the influence of task characteristics and supports a process-related view on cognitive load in instructional scenarios. It further contributes to the discussion of underlying mechanisms at a neural level.Fri Mar 20 16:22:37 CET 2020LengerichAbstracts of the 58th Conference of Experimental Psychologists377C{LT} meets {ACT-R}: {M}odeling load-inducing factors in instructional design2016ACT-R cognition instruction learning load modeling myown Fri Mar 20 16:22:37 CET 2020BerlinTrends in Neuroergonomics. Proceedings of the 11th Berlin Workshop Human-Machine Systems190--193Cognitive modeling meets instructional design: {E}xploring {C}ognitive {L}oad {T}heory with {ACT-R}2015ACT-R cognition instruction learning load modeling myown Fri Mar 20 16:22:37 CET 2020Montreal, QB52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts19--20A model-based explanation of performance related changes in abstract stimulus-response learning2019ACT-R cognition learning modeling myown performance Fri Mar 20 16:22:37 CET 2020ChemnitzDagstuhl 2016. Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science98Modeling load factors in multimedia learning: {A}n {ACT-R} approach2016ACT-R cognition learning load modeling multimedia myown Fri Mar 20 16:22:37 CET 2020Dagstuhl 2017. Proceedings of the 11th Joint Workshop of the German Research Training Groups in Computer Science62Inspecting cognitive load factors in digital learning settings with {ACT-R}2017ACT-R digital learning load myown Fri Mar 20 16:22:37 CET 2020Montreal, QB41st Annual Meeting of the Cognitive Science Society1206--1211An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task2019ACT-R interruptions learning modeling myown performance Fri Mar 20 16:22:37 CET 2020Austin, TXProceedings of the 39th Annual Meeting of the Cognitive Science Society3540--3545Modeling cognitive load effects in an interrupted learning task: {A}n {ACT-R} approach2017ACT-R interruptions learning modeling myown ACT-R learningCommunity for tag(s) ACT-R learning