Invested mental effort and perceived task difficulty are significantly positively correlated at all measurement points except MP2.5, with correlations increasing as material complexity rises¶

Claim · All claims
Evidence · 1 study · associational r2 · q3 · i1 small
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i1 Invested mental effort and perceived task difficulty correlate positively at all measuring points (r = .10 to .38) except measuring point 5 in the second worked example. → Katrin Schuessler 2026

Evidence¶

Katrin Schuessler 2026¶

Katrin Schuessler, Jenna Koenen, Elke Sumfleth, Marvin Rost. (2026). Variations in Repeated Measures of Cognitive Load and Interest During Complex Learning Tasks. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10105-4

q3 · i1 · associational · r2

Pairwise raw-data correlations at 21 measurement points in the N = 360 sample. Printed coefficients range r = .10 to .38 (small), with the single exception MP2.5 non-significant at p = .071; the article attributes the exception to possible overload.

"Invested mental effort and perceived task difficulty (Fig. 10, upper left, black line) were significantly positively correlated at all measuring points (r =.10 to .38), except measuring point 5 in the second worked example (MP2.5, p =.071)."

Discussion¶

Related Claims¶

• Perceived task difficulty correlates negatively with self-assessed understanding and with interest at essentially all measurement points, while interest and self-assessed understanding correlate positively throughout — related
• Pairwise relationships between invested mental effort, perceived task difficulty, interest, and self-assessed understanding fluctuate across measurement points, with most correlations stronger when more content knowledge is presented — related
• Invested mental effort and perceived task difficulty are strongly correlated yet relate differently to relative task difficulty, indicating the two ratings measure different aspects of overall cognitive load — related
• Model-based posterior-prediction correlations between the four variables show distinct dynamic patterns across the 21 time points and four intervention groups — related
• Effort investment is driven differently in CLT (data-driven, task difficulty) versus SRL theories (goal-driven, motivation) — related
• Both expert and negative example standards increase perceived mental effort during example evaluation, and negative standards increase perceived task difficulty — related
• Repeated measures of invested mental effort, perceived task difficulty, interest, and self-assessed understanding differ significantly across measurement points within complex learning tasks and are not adequately represented by their mean — related
• Cognitive load ratings rise and interest and self-assessed understanding fall in sections introducing new content knowledge compared with introductory sections of worked examples — related
• Greater time and effort invested in the task correlate with better integration and smaller calibration error — related
• Perceived difficulty was negatively correlated with recognition but not significantly with transfer or drawing test performance — related
• Task difficulty shows a u-shaped relation to regulatory activities, with competing CLT-based and motivational explanations that cannot yet be distinguished — related