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1. How outreach camps incorporate design affects female high school students’ interest in engineering and perceptions of engineering design (Evaluation).

   Tyler, K.; Johnson-Glauch, N.; Dean, L. M.; Krogstad, J. A. (June 2019, ASEE annual conference exposition proceedings)

   Outreach summer camps, particularly those focused on increasing the number of women in engineering, are commonplace. Some camps take the approach of a broad survey of engineering as a whole, while others focus on one specific discipline. Within the discipline-specific camps, there is a high degree of variability in curriculum and structure. This is apparent when considering if and how engineering design is built into the camp structure. While many studies have investigated the impact of outreach camps on engineering self-confidence among participants, few studies have sought to understand how the camp curriculum as a whole can influence these outcomes. To begin to understand the connection between outreach camp curriculum and engineering self-confidence among participants, we studied outreach camps targeted to high school women that varied in the incorporation of design into their structure. We chose to study three camps: (1) a design-focused camp, (2) a design-incorporated camp (run by the authors), and a (3) design-absent camp. All three camps were at the same university but based in different engineering disciplines. Results from pre-post survey Wilcoxon Signed Rank tests showed that design-focused and design-incorporated camps were able to improve students’ perspective of what engineering is (p <.01 and p = .02), while the design-absent camp had no change. The design-incorporated camp increased the participants’ desire to be an engineer (p = .02) while the design-absent camp decreased the participants’ desire to be an engineer (p = .02) and the design-focused camp had no effect. The design-absent camp also decreased the participants’ overall interest in engineering (p = .02). Additionally, both the design-incorporated and design-focused camps increased the participants’ confidence in conducting engineering design (p <.01 and p <.01), but only the design-incorporated camp had consistent improvements throughout the entire design cycle. Motivated by these results, we intend in future studies to more systematically probe the potential of different outreach curricula and structures to positively influence engineering perceptions. 

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2. How do undergraduate engineering students conceptualize product design? An analysis of two third‐year design courses

   https://doi.org/10.1002/jee.20468  

   Miska, Jacob W.; Mathews, Laura; Driscoll, Jessica; Hoffenson, Steven; Crimmins, Sarah; Espera, Jr., Alejandro; Pitterson, Nicole (May 2022, Journal of Engineering Education)

   Abstract BackgroundEngineering education traditionally emphasizes technical skills, sometimes at the cost of under‐preparing graduates for the real‐world engineering context. In recent decades, attempts to address this issue include increasing project‐based assignments and engineering design courses in curricula; however, a skills gap between education and industry remains. Purpose/HypothesisThis study aims to understand how undergraduate engineering students perceive product design before and after an upper‐level project‐based design course, as measured through concept maps. The purpose is to measure whether and how students account for the technical and nontechnical elements of design, as well as how a third‐year design course influences these design perceptions. Design/MethodConcept maps about product design were collected from 105 third‐year engineering students at the beginning and end of a design course. Each concept map's content and structure were quantitatively analyzed to evaluate the students' conceptual understandings and compare them across disciplines in the before and after conditions. ResultsThe analyses report on how student conceptions differ by discipline at the outset and how they changed after taking the course. Mechanical Engineering students showed a decrease in business‐related content and an increased focus on societal content, while students in the Engineering Management and Industrial and Systems Engineering programs showed an increase in business topics, specifically market‐related content. ConclusionThis study reveals how undergraduate students conceptualize product design, and specifically to what extent they consider engineering, business, and societal factors. The design courses were shown to significantly shape student conceptualizations of product design, and they did so in a way that mirrored the topics in the course syllabi. The findings offer insights into the education‐practice skills gap and may help future educators to better prepare engineering students to meet industry needs. 

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3. Design thinking among first‐year and senior engineering students: A cross‐sectional, national study measuring perceived ability

   https://doi.org/10.1002/jee.20298  

   Coleman, Emma; Shealy, Tripp; Grohs, Jacob; Godwin, Allison (December 2019, Journal of Engineering Education)

   Abstract BackgroundPrior researchers developed an instrument to measure perceived design thinking ability of first‐year students interested in engineering, and they validated the instrument through exploratory factor analysis. Purpose/HypothesisOur study uses the previously developed instrument to evaluate perceived design thinking ability of senior engineering students. We make a cross‐sectional comparison of this measure on a national scale. Design/MethodWe surveyed a national sample of senior engineering students in 2018 and conducted a cross‐sectional comparison with results from a 2012 national sample of first‐year students who were interested in declaring an engineering major. Two‐way analysis of variance tests compared average design thinking scores across sample groups. Confirmatory factor analysis was conducted to improve the design thinking instrument. ResultsFirst‐year students who intended to declare an engineering major score significantly higher (2.80) on the design thinking scale than senior engineering students (2.59) with a medium effect size of 0.4. The senior engineering sample performs significantly worse on the feedback seeking and experimentalism instrument items, but significantly better on the integrative thinking and collaboration items. We found no significant differences in perceived design thinking ability among engineering disciplines among senior students. ConclusionsFeedback seeking and experimentalism are traits that engineering educators should develop in their students to improve perceived design thinking ability. Incorporation of user‐centered design and divergent thinking in the engineering classroom are recommended as avenues to foster feedback seeking and experimentalism. We also offer recommendations to improve the design thinking instrument for future research. 

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4. An Empirical Study Measuring the Effects of Generative AI on Early-Stage Engineering Design and Neurocognition

   https://doi.org/10.1115/DETC2025-169255  

   Aruon, Avinash; Shealy, Tripp; Gero, John (August 2025, American Society of Mechanical Engineers)

   Abstract Engineering design is a continuous and iterative process, where early-stage decisions significantly impact subsequent design outcomes. This study investigates the influence of AI-assistance during early stages of design on subsequent design stages and measures the change in both design outcomes and cognitive processing in the brain. Sixty undergraduate engineering students participated in a two-stage design task. Students were first asked to identify design constraints related to the sustainable redevelopment of a site on campus either using human imagination or utilizing generative AI to assist them. Students, in both groups, without the aid of generative AI, then developed conceptual design ideas for redevelopment. The results indicate that the AI-assisted group identified significantly more design constraints (p < 0.05) and subsequently without the aid of AI developed a greater number of design concepts related to environmental sustainability. Brain imaging analysis revealed that AI assistance reduced the neuro-cognitive effort during constraints identification and had a residual effect in reducing neuro-cognitive effort during the concept design phase, particularly in the right frontopolar prefrontal cortex – a region associated with complex, abstract thinking. These findings suggest that AI-assisted design can enhance design efficiency by optimizing reducing cognitive effort and improving early-stage design outcomes. Future research should explore human-AI collaboration strategies to maximize its benefits in engineering design workflows. 

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5. Co‐designing teacher support technology for problem‐based learning in middle school science

   https://doi.org/10.1111/bjet.13363  

   Hutchins, Nicole_M; Biswas, Gautam (July 2023, British Journal of Educational Technology)

   Abstract This paper provides an experience report on a co‐design approach with teachers to co‐create learning analytics‐based technology to support problem‐based learning in middle school science classrooms. We have mapped out a workflow for such applications and developed design narratives to investigate the implementation, modifications and temporal roles of the participants in the design process. Our results provide precedent knowledge on co‐designing with experienced and novice teachers and co‐constructing actionable insight that can help teachers engage more effectively with their students' learning and problem‐solving processes during classroom PBL implementations. Practitioner notesWhat is already known about this topicSuccess of educational technology depends in large part on the technology's alignment with teachers' goals for their students, teaching strategies and classroom context.Teacher and researcher co‐design of educational technology and supporting curricula has proven to be an effective way for integrating teacher insight and supporting their implementation needs.Co‐designing learning analytics and support technologies with teachers is difficult due to differences in design and development goals, workplace norms, and AI‐literacy and learning analytics background of teachers.What this paper addsWe provide a co‐design workflow for middle school teachers that centres on co‐designing and developing actionable insights to support problem‐based learning (PBL) by systematic development of responsive teaching practices using AI‐generated learning analytics.We adapt established human‐computer interaction (HCI) methods to tackle the complex task of classroom PBL implementation, working with experienced and novice teachers to create a learning analytics dashboard for a PBL curriculum.We demonstrate researcher and teacher roles and needs in ensuring co‐design collaboration and the co‐construction of actionable insight to support middle school PBL.Implications for practice and/or policyLearning analytics researchers will be able to use the workflow as a tool to support their PBL co‐design processes.Learning analytics researchers will be able to apply adapted HCI methods for effective co‐design processes.Co‐design teams will be able to pre‐emptively prepare for the difficulties and needs of teachers when integrating middle school teacher feedback during the co‐design process in support of PBL technologies. 

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