https://puma.ub.uni-stuttgart.de/tag/Load%20ACT-RPUMA RSS feed for /tag/Load%20ACT-R2026-04-14T00:56:59+02:00https://puma.ub.uni-stuttgart.de/bibtex/26967bd47c956f6850bf08f6450e36dbd/llisllis2023-09-23T09:31:13+02:00ACT-R cognition learning llis load modeling myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/198e735899df4a406d1a1a7e03566c8ab/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jelmer P Borst" itemprop="url" href="/person/198e735899df4a406d1a1a7e03566c8ab/author/1"><span itemprop="name">J. Borst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Josef F Krems" itemprop="url" href="/person/198e735899df4a406d1a1a7e03566c8ab/author/2"><span itemprop="name">J. Krems</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/198e735899df4a406d1a1a7e03566c8ab/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Trends in Neuroscience and Education</span>, </em> </span>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Sat 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.https://puma.ub.uni-stuttgart.de/bibtex/208c4bedde4f52a58697a26dd71395262/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R cognition instruction learning load modeling myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1234e3eb9482a0c3a27eb56886fc7f1cc/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G/unther Daniel Rey" itemprop="url" href="/person/1234e3eb9482a0c3a27eb56886fc7f1cc/author/1"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Abstracts of the 58th Conference of Experimental Psychologists</span>, </em></span><em>page <span itemprop="pagination">377</span>. </em><em>Lengerich, </em><em><span itemprop="publisher">Pabst Science Publishers</span>, </em>(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>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 https://puma.ub.uni-stuttgart.de/bibtex/21dc28d5c6844888db59bb7730214a73a/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R cognition instruction learning load modeling myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/15a510d9f0a5f8652e74b52f6998d2409/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/15a510d9f0a5f8652e74b52f6998d2409/author/1"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Trends in Neuroergonomics. Proceedings of the 11th Berlin Workshop Human-Machine Systems</span>, </em></span><em>page <span itemprop="pagination">190--193</span>. </em><em>Berlin, </em><em><span itemprop="publisher">Universitätsverlag der TU Berlin</span>, </em>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>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 https://puma.ub.uni-stuttgart.de/bibtex/2b290b4267090e3ad53b9ad6639b8e5f9/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R cognition instruction load modeling myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/172c537047e0175a8370cd81a2bb9e41d/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/172c537047e0175a8370cd81a2bb9e41d/author/1"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016)</span>, </em></span><em>page <span itemprop="pagination">223--224</span>. </em><em>Penn State, </em><em><span itemprop="publisher">University Park, PA</span>, </em>(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Penn StateProceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016)223--224Examining load-inducing factors in instructional design: {A}n {ACT-R} approach2016ACT-R cognition instruction load modeling myown https://puma.ub.uni-stuttgart.de/bibtex/2a74bb60bdf605d175db261539115c31b/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R cognition learning load modeling multimedia myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/14233530e4c52281def701d9f5099cdc2/author/0"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Dagstuhl 2016. Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science</span>, </em></span><em>page <span itemprop="pagination">98</span>. </em><em>Chemnitz, </em><em><span itemprop="publisher">Universitätsverlag Chemnitz</span>, </em>(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>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 https://puma.ub.uni-stuttgart.de/bibtex/2f4871d0bff86cbcc2601a1120740e1e5/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R digital learning load myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1d10a2e745a4d22d5869c52afd0fdeea3/author/0"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Dagstuhl 2017. Proceedings of the 11th Joint Workshop of the German Research Training Groups in Computer Science</span>, </em></span><em>page <span itemprop="pagination">62</span>. </em>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>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