Virtual laboratories can broaden access to experimental learning in mechanical engineering, but their educational value depends on how closely they connect theoretical models with realistic laboratory procedures. This single-platform case study qualitatively evaluates eight vibration and machine-dynamics experiments in the Indian Virtual Labs Vibration and Acoustics Laboratory. The exercises were compared using four criteria: clarity of the physical model, scope for parameter variation, usefulness of outputs, and similarity to a physical laboratory procedure; limitations in developing practical engineering competence were recorded descriptively. The cantilever impact-test and sine-sweep exercises most closely resembled the procedure of instrumented vibration testing, whereas the connecting-rod and trifilar-suspension exercises followed conventional inertia-measurement procedures. The single-degree-of-freedom (SDOF) exercises linked mass, stiffness and damping to transient and frequency responses, and the tuned absorber introduced a direct design task. Across all exercises, sensor mounting, calibration, alignment, manual timing, measurement noise and uncertainty assessment were largely absent. The results suggest potential uses of these simulations within blended laboratory sequences, rather than as replacements for hands-on laboratory work. No students or corresponding physical experiments were included; learning gains, transfer to practical work and physical fidelity were not measured.
This paper develops a ready-to-use mechanics-of-materials teaching case in which students test the popular claim that a pencil-thick spider-silk strand could stop a Boeing 747. The case integrates engineering stress–strain behavior, work–energy, axial capacity, self-weight and engineering judgment within two staged exercises. Students first convert the area under an engineering stress–strain curve into tensile work per unit initial volume and derive an energy-based lower bound on strand length. They then derive a self-weight upper bound and determine whether the two bounds overlap. For a representative landing envelope and a 7-mm equivalent solid strand, the baseline calculation gives an energy requirement of 157 km and a favorable vertical-support limit of 173 km; at a 60 ∘ support-tangent angle, the common interval disappears. The supplied worksheet, instructor guide, marking criteria and transfer task make the case directly assignable. The intended learning outcome is interpretive as well as computational: students determine what compatibility of two necessary mechanical conditions establishes and identify the additional physics required for an actual arrest. The contribution establishes the mechanics and assessment structure of the module, providing a defined basis for subsequent classroom evaluation.
Project-based learning (PBL) connects theory with engineering practice, but its applications in agricultural machinery education often remain focused on isolated technical tasks. This study investigated an authentic PBL course design implemented in an eight-week machine vision course. The PBL group (n = 12) completed an Agaricus bisporus (button mushroom) grading project involving platform construction, dataset development, model training, lightweight optimization, and edge deployment, while the comparison group (n = 18) received traditional instruction. Although the pre-test difference was not statistically significant ( p = .138), its moderate effect size suggested that baseline equivalence could not be fully assumed. After adjusting for pre-test scores using ANCOVA, the PBL group retained higher post-test performance than the traditional instruction group (adjusted means: 76.28 vs. 73.98; F (1,27) = 4.88, p = .036, partial η 2 = .153). The PBL group also achieved higher normalized learning gains (0.54 ± 0.13 vs. 0.43 ± 0.12, p = .029). Project evidence further documented students’ engineering practices and project performance during the authentic engineering workflow.
Engineering laboratory pedagogy is often framed through binaries such as collaboration versus autonomy, structure versus flexibility, and co-present versus alternative modes of engagement. This exploratory mixed-methods study asks a different question: how can respondent-level combinations of these preferences be translated into actionable laboratory-design principles? The analysis uses 48 nonduplicate responses from a required end-of-term self-reflection survey administered across four sections of a Spring 2025 Thermodynamics, Fluid Flow, and Heat Transfer Laboratory. Unlike two earlier papers from the same survey, which reported aggregate patterns in spatial-temporal flexibility and collaboration/autonomy, respectively, the present study links selected items within respondents, reports conditional configuration estimates with Wilson 95% confidence intervals, conducts a limited exact-test comparison and original-category sensitivity check, and integrates linked open-ended responses through a mixed-methods joint display. Among 41 students preferring structured, in-person laboratories, 33 (80.5%) expressed at least one strong flexibility indicator. Twenty of 22 students (90.9%) who preferred independent sense-making before peer consultation were also comfortable contributing in groups, and 25 of 44 students (56.8%) who felt heard or valued nevertheless perceived solo-preferring students as disadvantaged. The after-hours contrast was directionally consistent but statistically uncertain. The distinctive contribution is therefore not another set of marginal frequencies, but a respondent-level design translation: preserve the embodied experimental core while deliberately sequencing individual preparation, collaborative execution, bounded temporal flexibility, and multiple routes for contribution. These propositions are exploratory and require prospective testing.
Undergraduate mechanical engineering programmes are commonly designed around a cumulative logic: foundational knowledge in mathematics, physics and engineering sciences is expected to support later professional and application-oriented learning. Whether students experience this as connected and coherent learning is a different question. This paper examines how undergraduate students in mechanical engineering and closely related programmes experience curriculum coherence at two Chinese and two Russian technical universities. Drawing on semi-structured interviews with 29 students and recent graduates, we identify three patterns: how students recognise meaningful connections across foundational, professional and application-oriented knowledge; where workload, sequencing and coordination problems disrupt cumulative learning; and how practical and project-based formats indicate whether earlier knowledge has become usable. The four cases show variation in how these disruptions are experienced across institutional and programme contexts, without forming a consistent national pattern. We argue that curriculum coherence is produced or disrupted at specific delivery points. For those responsible for designing, coordinating, and teaching undergraduate engineering programmes, this points to concrete, addressable conditions.
