Student Emotional Trajectories in University Mathematics Courses Over Three Years

70 undergraduate students reported their emotional states weekly over 12 weeks across three academic years (2020-2022). The data, authored by Simon Brezovnik, tracks progression from negative states like anxiety toward optimal flow states, with average emotional category rising from 4.19 to 7.31.

Use Cases

• Modeling emotional state transitions over time based on weekly self-reports
• Analyzing the relationship between formative feedback cycles and student engagement
• Investigating the prevalence of flow states in project-based learning environments
• Studying longitudinal changes in student confidence and relaxation during a semester

Strengths

• Longitudinal data collected weekly over a 12-week semester
• Specific emotional state prevalence reported, such as flow reaching 60% in week 10
• Study conducted over three academic years (2020-2022) with 70 students

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect temporal bias inherent to the 2020-2022 period

Provenance

Source

Simon Brezovnik via figshare

Collection Method

Weekly structured self-report instrument based on Csikszentmihalyi's eight-state model, analyzed with cumulative link mixed models.

Time Range

2020-2022

Freshness

Last updated 2026-05-11 04:16:09; freshness should be verified