Task difficulty shows a u-shaped relation to regulatory activities, with competing CLT-based and motivational explanations that cannot yet be distinguished¶

Claim · All claims
Evidence · 1 study (2 entries) · theoretical r3 · q1
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Seufert proposes a u-shaped relationship between task difficulty and students' regulatory activities, with medium-difficulty tasks as the sweet spot. → Katharina Scheiter 2025 q1 i? Atkinson's achievement motivation theory offers an alternative motivational account predicting highest effort investment for medium-difficulty tasks. → Katharina Scheiter 2025 (2)

Evidence¶

Katharina Scheiter 2025¶

Katharina Scheiter. (2025). Commentary: How can We Come to Terms when Discussing the Role of Effort from the Perspective of Cognitive Load Theory and Theories of Self-regulated Learning? Educational Psychology Review. https://doi.org/10.1007/s10648-025-10037-z

q1 · i? · theoretical · r3

The commentary reports, citing Seufert, that for medium-difficulty tasks available resources and task demands are optimally balanced, so the task is neither under- nor overwhelming; Seufert et al. (2024) provide corroborating evidence.

"Seufert (2018, 2020) propose that there is a u-shaped relationship between task difficulty and students’ regulatory activities (see Seufert et al., 2024, for corroborating evidence)."

Katharina Scheiter 2025 (2)¶

Katharina Scheiter. (2025). Commentary: How can We Come to Terms when Discussing the Role of Effort from the Perspective of Cognitive Load Theory and Theories of Self-regulated Learning? Educational Psychology Review. https://doi.org/10.1007/s10648-025-10037-z

q1 · i? · theoretical · r3

Theoretical argument from Atkinson's (1957) theory as presented in the commentary: value depends on expectancy (v = 1 – e) and expectancy × value combine multiplicatively, so motivation — and hence effort — should peak at medium difficulty.

"the tendency to approach performance-related tasks is highest (i.e., motivation) when both the expectation to reach the goal (expectancy) and the attraction of reaching the goal (value) are at a medium level"

Discussion¶

Related Claims¶

• Effort investment is driven differently in CLT (data-driven, task difficulty) versus SRL theories (goal-driven, motivation) — related
• In the simulation, task complexity and task difficulty explain the majority of variance in the individual-learner WD statistic, with some effect of task specificity — related
• Neither self-report nor eye tracking can reliably distinguish strategic from habituated behavior in empirical practice — related
• Cognitive Load Theory lacks a motivational focus, which becomes problematic when interpreting interventions that foster effortful learning strategies — related
• 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 — related
• Emotion affects motivation, which in turn affects mental effort investment during learning — related
• Self-regulatory activities mediate the relationship between person, context, and achievement — related
• Task difficulty shows an inverted U-shaped relation with cognitive strategy use and a positive linear relation with metacognitive strategy use, mediated by cognitive load (Seufert et al., 2024) — related
• The linear effect of task difficulty on cognitive strategy use is competitively mediated by learner resources: difficulty decreases resources, which lowers strategy use, while a positive direct effect remains — related
• Perceived task difficulty relates to cognitive strategy use with both a linear and a negative quadratic (inverted U) component, and the quadratic relationship is fully mediated by cognitive load — related