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Student Motivation and Research Interests in Engineering: Baseline Mixed-Methods Study to Design a Research-Based Learning Pathway (#2230)

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Date of Conference

July 15-17, 2026

Published In

"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"

Location of Conference

Santiago (Chile)

Authors

Sánchez-Ruiz, Luis Manuel

Rodrigo Ilarri, Javier

Rodrigo-Clavero, María Elena

Romero-Hernández, Claudia P.

Roselló-Ferragud, Maria Dolores

Vega-Fleitas, Erika

Moll-López, Santiago

Abstract

Baseline evidence on student motivation and topic interests can inform the design of research-based learning (RBL) interventions in engineering education. This paper reports baseline findings from a mixed-methods study (survey N = 120; semi-structured interviews n = 10) conducted prior to implementing a longitudinal RBL pathway across three engineering mathematics courses in an Aerospace Engineering degree at Universitat Politècnica de València. Quantitative results indicate a high perceived value of early research-skills development (PVI = 4.70/5) and very high willingness to participate (95.8% rating 4–5), with motivation frequently attributed to the possibility of open-topic selection. Students reported broad interest in aerospace systems, AI/ML, sustainability, and telecommunications. Interview analysis yielded five themes: (1) research as an identity bridge from mathematical procedures to engineering practice; (2) scaffolding as an enabler despite high achievement; (3) time as the primary barrier; (4) traceability as professional practice; and (5) the need for clear boundaries for optional AI use. These findings inform the design of a two-year educational innovation project (PIME) that will implement staged deliverables, analytic rubrics, and postdoc-led training sessions, and they motivate the planned evaluation framework for subsequent phases.

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