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Background As a non‐cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning environment. Methods In this study, 66 students participated in seven exploratory tasks in Snap! for approximately 60 min after a 30‐min lecture. Students were categorized into a high grit group and low grit group using a grit scale. The Mann–Whitney U test, epistemic network analysis and lag sequential analysis were used to explore the differences between groups in learning performance, technology acceptance and behavioural patterns. Results Students with different levels of grit engaged in explorative tasks in a short period of time might not present significantly different learning performance, perceptions of usefulness and ease of use, but students higher in grit, actively engaging more different types of activities, tended to put greater sustained effort to solve the challenging task. Take Away Although grit was not significantly correlated with learning performance when students engage in classroom‐based explorative activities, grit did predict whether students are more likely to explore and put greater sustained effort into solving the challenging task.

To predict bridge deformation laws under existing traffic loads and identifies the main influencing factors of midspan deflection of the structure, this study performed static and fatigue tests on seven pieces of prestressed concrete scale model beams using the pre-tensioning method. The general variation laws and characteristics of deflection were studied, and the calculation method of deflection of partially prestressed concrete beams under heavy loads was discussed. Results demonstrate that the changes of concrete strain along the section height conform to the plane hypothesis. The deflection of prestressed concrete beams under heavy load basically conforms to the "quick-stable-quick" variation law, and the change rate is significantly higher than that under normal operating loads. The deflection after the fatigue cracking of prestressed concrete beams under heavy load can be calculated from the residual and load deflections. Based on the established formula of fitting deflection, the amplification coefficient of deflection during the fatigue steady state is approximately 20%-35%, and the amplification coefficient at critical failure is approximately 80%-100%. This study provides references for the fatigue performance assessment of prestressed concrete beams under heavy traffic loads and the selection of reinforcement time. Keywords: Heavy duty, Fatigue test, Partially prestressed concrete beams, Deflection calculation

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With the development of the transportation industry, the trend of overload is