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Artificial intelligence for design education: a conceptual approach to enhance students' divergent and convergent thinking in ideation processes.

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Title: Artificial intelligence for design education: a conceptual approach to enhance students' divergent and convergent thinking in ideation processes.
Authors: Melker, Susanne1 (AUTHOR) susanne.melker0010@stud.hkr.se, Gabrils, Emma1 (AUTHOR) emma.gabrils@hotmail.se, Villavicencio, Victor2 (AUTHOR) victor@artomatic.se, Faraon, Montathar1 (AUTHOR) montathar.faraon@hkr.se, Rönkkö, Kari1 (AUTHOR) kari.ronkko@hkr.se
Source: International Journal of Technology & Design Education. Nov2025, Vol. 35 Issue 5, p1871-1899. 29p.
Subject Terms: *Artificial intelligence, *Design education, *Brainstorming, *Divergent thinking, *Learner autonomy, *Critical thinking, *Qualitative research
Abstract: Contemporary creativity support tools (CSTs) primarily support divergent thinking, while often neglecting convergent thinking. Currently, research is limited concerning how these complementary aspects of creative thought could be integrated into a unified approach. This article theoretically conceptualizes the integration of artificial intelligence (AI) as a facilitator within CSTs to enhance design students' divergent and convergent thinking during ideation processes in higher education. The research employed the concept-driven design research methodology and conducted qualitative interviews with ten design students to evaluate and refine a theoretically underpinned design concept. The study identified four key themes that informed the crafting of a revised design concept: clarity and comprehension requirements, visualization of user journeys, the role of AI, and the balance between predictable and unpredictable interactions. Through iterative refinement, the research established a theoretically and empirically underpinned design concept that demonstrates how AI facilitation can support both divergent and convergent thinking while preserving student agency in creative processes. This research contributes to the theoretical grounding of AI-enhanced creativity support and provides practical insights for integrating AI facilitation in CTSs for design education. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Artificial intelligence for design education: a conceptual approach to enhance students' divergent and convergent thinking in ideation processes.
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  Data: <searchLink fieldCode="AR" term="%22Melker%2C+Susanne%22">Melker, Susanne</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> susanne.melker0010@stud.hkr.se</i><br /><searchLink fieldCode="AR" term="%22Gabrils%2C+Emma%22">Gabrils, Emma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> emma.gabrils@hotmail.se</i><br /><searchLink fieldCode="AR" term="%22Villavicencio%2C+Victor%22">Villavicencio, Victor</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> victor@artomatic.se</i><br /><searchLink fieldCode="AR" term="%22Faraon%2C+Montathar%22">Faraon, Montathar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> montathar.faraon@hkr.se</i><br /><searchLink fieldCode="AR" term="%22Rönkkö%2C+Kari%22">Rönkkö, Kari</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kari.ronkko@hkr.se</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology+%26+Design+Education%22">International Journal of Technology & Design Education</searchLink>. Nov2025, Vol. 35 Issue 5, p1871-1899. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Design+education%22">Design education</searchLink><br />*<searchLink fieldCode="DE" term="%22Brainstorming%22">Brainstorming</searchLink><br />*<searchLink fieldCode="DE" term="%22Divergent+thinking%22">Divergent thinking</searchLink><br />*<searchLink fieldCode="DE" term="%22Learner+autonomy%22">Learner autonomy</searchLink><br />*<searchLink fieldCode="DE" term="%22Critical+thinking%22">Critical thinking</searchLink><br />*<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink>
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  Data: Contemporary creativity support tools (CSTs) primarily support divergent thinking, while often neglecting convergent thinking. Currently, research is limited concerning how these complementary aspects of creative thought could be integrated into a unified approach. This article theoretically conceptualizes the integration of artificial intelligence (AI) as a facilitator within CSTs to enhance design students' divergent and convergent thinking during ideation processes in higher education. The research employed the concept-driven design research methodology and conducted qualitative interviews with ten design students to evaluate and refine a theoretically underpinned design concept. The study identified four key themes that informed the crafting of a revised design concept: clarity and comprehension requirements, visualization of user journeys, the role of AI, and the balance between predictable and unpredictable interactions. Through iterative refinement, the research established a theoretically and empirically underpinned design concept that demonstrates how AI facilitation can support both divergent and convergent thinking while preserving student agency in creative processes. This research contributes to the theoretical grounding of AI-enhanced creativity support and provides practical insights for integrating AI facilitation in CTSs for design education. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10798-025-09964-3
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        Text: English
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        PageCount: 29
        StartPage: 1871
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Design education
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      – SubjectFull: Learner autonomy
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      – SubjectFull: Critical thinking
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      – SubjectFull: Qualitative research
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              Text: Nov2025
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