Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience
<p>Medical and neuroscience education are experiencing a rapid shift as emerging technologies reshape how students learn complex structural and functional concepts. Traditional teaching approaches are increasingly supplemented, and in some cases partially replaced, by virtual dissection tables, 3D-d...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2026
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| Acceso en línea: | https://www.intechopen.com/chapters/1237685 |
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| _version_ | 1879164894960418816 |
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| author | Ogut, Eren |
| author_browse | Ogut, Eren |
| author_facet | Ogut, Eren |
| author_sort | Ogut, Eren |
| building | IntechOpen |
| collection | Acceso abierto |
| description | <p>Medical and neuroscience education are experiencing a rapid shift as emerging technologies reshape how students learn complex structural and functional concepts. Traditional teaching approaches are increasingly supplemented, and in some cases partially replaced, by virtual dissection tables, 3D-digital models, and virtual or augmented reality platforms. These tools offer interactive, spatially rich representations that help students form accurate mental models of neuroanatomy and strengthen the connection between structural knowledge and clinical imaging interpretation. Alongside these visual tools, computational simulations provide access to dynamic neural processes that cannot be observed directly in the classroom. Through user-friendly, AI-supported digital platforms, students can construct and manipulate neural networks, explore firing behavior, and model both physiological and pathological states, even with minimal programming experience. This hands-on, inquiry-driven approach promotes a deeper understanding of how anatomical structures relate to functional dynamics. AI extends these innovations further by enabling adaptive tutoring, automated and immediate assessment, and high-fidelity virtual patients capable of responding in natural, context-appropriate ways. Such systems identify individual learning needs, enhance clinical reasoning, and create safe environments for practicing decision-making, all while preparing learners for an increasingly AI-integrated healthcare landscape. Effective implementation of these technologies requires thoughtful curriculum planning, sustained faculty development, adequate infrastructure, and meaningful collaboration across disciplines. Growing evidence shows that technology-enhanced, interdisciplinary curricula improve student engagement, strengthen conceptual understanding, and foster essential skills such as data literacy and systems thinking. Ultimately, integrating 3D modeling, computational simulations, and AI supports the development of clinicians and neuroscientists who are technically skilled, critically reflective, and empathetic.</p> |
| doi_str_mv | 10.5772/intechopen.1014146 |
| first_indexed | 2026-10-15T21:41:36Z |
| format | Book Chapter |
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<dc:title>Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience</dc:title>
<dc:creator>Eren Ogut</dc:creator>
<dc:subject>Social Sciences and Humanities</dc:subject>
<dc:description><p>Medical and neuroscience education are experiencing a rapid shift as emerging technologies reshape how students learn complex structural and functional concepts. Traditional teaching approaches are increasingly supplemented, and in some cases partially replaced, by virtual dissection tables, 3D-digital models, and virtual or augmented reality platforms. These tools offer interactive, spatially rich representations that help students form accurate mental models of neuroanatomy and strengthen the connection between structural knowledge and clinical imaging interpretation. Alongside these visual tools, computational simulations provide access to dynamic neural processes that cannot be observed directly in the classroom. Through user-friendly, AI-supported digital platforms, students can construct and manipulate neural networks, explore firing behavior, and model both physiological and pathological states, even with minimal programming experience. This hands-on, inquiry-driven approach promotes a deeper understanding of how anatomical structures relate to functional dynamics. AI extends these innovations further by enabling adaptive tutoring, automated and immediate assessment, and high-fidelity virtual patients capable of responding in natural, context-appropriate ways. Such systems identify individual learning needs, enhance clinical reasoning, and create safe environments for practicing decision-making, all while preparing learners for an increasingly AI-integrated healthcare landscape. Effective implementation of these technologies requires thoughtful curriculum planning, sustained faculty development, adequate infrastructure, and meaningful collaboration across disciplines. Growing evidence shows that technology-enhanced, interdisciplinary curricula improve student engagement, strengthen conceptual understanding, and foster essential skills such as data literacy and systems thinking. Ultimately, integrating 3D modeling, computational simulations, and AI supports the development of clinicians and neuroscientists who are technically skilled, critically reflective, and empathetic.</p></dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2026-07-04</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/1237685</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.1014146</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-80631-259-7</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/1005130 ; Educational and Curriculum Quality - Innovations and Research</dc:source>
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| id | intech-1237685 |
| institution | IntechOpen |
| isbn | 978-1-80631-259-7 |
| language | English |
| last_indexed | 2026-10-15T21:41:36Z |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-12376852026-07-04 Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience Eren Ogut Social Sciences and Humanities <p>Medical and neuroscience education are experiencing a rapid shift as emerging technologies reshape how students learn complex structural and functional concepts. Traditional teaching approaches are increasingly supplemented, and in some cases partially replaced, by virtual dissection tables, 3D-digital models, and virtual or augmented reality platforms. These tools offer interactive, spatially rich representations that help students form accurate mental models of neuroanatomy and strengthen the connection between structural knowledge and clinical imaging interpretation. Alongside these visual tools, computational simulations provide access to dynamic neural processes that cannot be observed directly in the classroom. Through user-friendly, AI-supported digital platforms, students can construct and manipulate neural networks, explore firing behavior, and model both physiological and pathological states, even with minimal programming experience. This hands-on, inquiry-driven approach promotes a deeper understanding of how anatomical structures relate to functional dynamics. AI extends these innovations further by enabling adaptive tutoring, automated and immediate assessment, and high-fidelity virtual patients capable of responding in natural, context-appropriate ways. Such systems identify individual learning needs, enhance clinical reasoning, and create safe environments for practicing decision-making, all while preparing learners for an increasingly AI-integrated healthcare landscape. Effective implementation of these technologies requires thoughtful curriculum planning, sustained faculty development, adequate infrastructure, and meaningful collaboration across disciplines. Growing evidence shows that technology-enhanced, interdisciplinary curricula improve student engagement, strengthen conceptual understanding, and foster essential skills such as data literacy and systems thinking. Ultimately, integrating 3D modeling, computational simulations, and AI supports the development of clinicians and neuroscientists who are technically skilled, critically reflective, and empathetic.</p> IntechOpen 2026-07-04 Chapter, Part Of Book https://www.intechopen.com/chapters/1237685 doi:10.5772/intechopen.1014146 en ISBN:978-1-80631-259-7 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/1005130 ; Educational and Curriculum Quality - Innovations and Research |
| spellingShingle | Social Sciences and Humanities Ogut, Eren Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title | Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title_full | Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title_fullStr | Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title_full_unstemmed | Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title_short | Advancing Educational and Curriculum Innovations Through Integrated 3D Modeling and Computational Neuroscience |
| title_sort | advancing educational and curriculum innovations through integrated 3d modeling and computational neuroscience |
| topic | Social Sciences and Humanities |
| url | https://www.intechopen.com/chapters/1237685 |
| work_keys_str_mv | AT oguteren advancingeducationalandcurriculuminnovationsthroughintegrated3dmodelingandcomputationalneuroscience |