Claims

Learners invest more effort in tasks they perceive as interesting, personally important, or useful to their future goals.

Claim · All claims
Evidence · 2 studies · 2 review r? · q2–q3

Task value is the learner's subjective appraisal of why a task is worth doing. Expectancy-value theory identifies four components: intrinsic value (the task is inherently interesting or enjoyable), attainment value (success matters to the learner's identity or self-concept), utility value (the task is useful for future goals), and cost (what must be given up to do it). Perceived value, combined with expectancy of success, predicts choice, persistence, and quality of engagement — not just whether a learner participates, but how much they invest.

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Expectancy and task value are the two strongest proximal predictors of academic choices (course enrollment, major selection) and achievement-related effort, even after controlling for prior performance. → Eccles Wigfield 2002

q3 i? Utility value (perceived usefulness for future goals) is a particularly reliable predictor of persistence in STEM fields; brief utility-value writing interventions increase engagement and grades in underrepresented groups. → Wigfield Cambria 2010

q3 i? Intrinsic value (interest) predicts depth of engagement and quality of work more strongly than utility value alone; tasks perceived as both interesting and useful produce the highest investment. → Wigfield Cambria 2010

Evidence

Eccles Wigfield 2002

Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153

q2 · narrative review: theoretical synthesis · i? · the abstract prints no effect size; the full text may · n=N/A · review · r?

Eccles and Wigfield present the expectancy-value framework as an integrated model of achievement motivation. They distinguish four value components and review longitudinal and experimental evidence showing these predict academic choices more reliably than prior performance alone. A key finding: value declines across schooling are steeper than ability declines, suggesting that motivation is a design problem (how we frame tasks) as much as a learning problem (whether students can do them). Design implication: learners need to understand not just how to do something but why it matters to them personally.

Wigfield Cambria 2010

Wigfield, A., & Cambria, J. (2010). Students' achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30(1), 1–35. https://doi.org/10.1016/j.dr.2009.12.001

q3 · integrative review of multiple studies and frameworks · i? · no source text available to check; the entry prints no effect size · n=N/A · review · r?

Wigfield and Cambria synthesize research on achievement values, goal orientations, and interest, showing how these constructs develop across school years and relate to outcomes. They review experimental interventions — particularly brief utility-value writing tasks (where students write about how course material connects to their lives) — that reliably improve engagement and achievement, especially for students from groups underrepresented in a domain. The cost dimension (what a learner gives up to engage) is underutilized in design: reducing perceived cost (time pressure, social risk of participation) can be as effective as increasing perceived value.

Studies bearing on this claim

Does seeing a task as interesting, important or useful raise the effort learners invest in it? This table gathers the studies behind this claim and the 13 narrower claims that bear on it: 13 distinct studies (4 review, 4 associational, 2 causal, 2 qualitative, 1 design), q1–q3, 4 of 13 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
Eccles Wigfield 2002 q2 · review · r? i? this claim
Wigfield Cambria 2010 q3 · review · r? i? this claim
Digital Promise and the Institute for Applied Neuroscience 2019 q2 · review · r1 i? Autonomy, meaningful purpose, and interest improve intrinsic motivation and deeper process (supports)
Takahashi 2020 q2 · associational · r2 i? Within SDT, intrinsic motivation predicts intended effort most strongly, followed by ident (supports)
Markus H. Hefter 2026 q2 · associational · r2 i3 Students’ actual genAI use correlates with interest and perceived usefulness of genAI but (supports)
Gupta 2020 q2 · causal · r2 i1 Self-reported germane cognitive load correlates positively with interest (QCM) among colle (supports)
Huang 2025 q2 · associational · r2 i? Interest alignment was rated highest by course completers and lowest by apprenticeship com (qualifies)
Mussel 2022 q3 · associational · r2 i1; i? Secondary academic performance is predicted by cognitive ability more strongly than by cur (qualifies); Neither cognitive ability, curiosity, nor epistemic behavior significantly predicts tertia (qualifies)
Small 1997 q1 · review · r2 i? Instruction should present the learning task as engaging and meaningful and promote positi (supports)
Miller & Li 2026 q2 · qualitative · r2 i? Spontaneous responsiveness to real-world events in PBL can deepen student-directed inquiry (supports)
Hilppö & Stevens 2024 q2 · qualitative · r3 i? In one extreme case, two sixth-graders with a choice-rich, ungraded STEAM infrastructure e (supports)
Guo 2026 q3 · causal · r1 i2; i? A collective generative AI relevance intervention significantly improved high school stude (supports); The generative AI relevance intervention did not significantly increase students' interest (qualifies)
Peters 2022 q3 · design · r2 i? A general chemistry utility-value and growth mindset intervention showed statistically sig (qualifies)

Discussion

The cost dimension of task value is often overlooked in instructional design. A task learners perceive as valuable can still be avoided if the cost is too high — social exposure, time burden, risk of public failure. Reducing cost through low-stakes practice, anonymous initial submissions, or smaller task granularity can unlock engagement without requiring changes to the task's content or framing.

Utility value is actionable through explicit framing: studies show that simply asking learners to write two sentences about how today's material connects to their goals produces measurable engagement gains. This does not require changing the curriculum — only making the connection explicit and personal, rather than assuming learners will construct the relevance themselves.

Intrinsic interest is less reliably shapeable in the short term than utility value, but situational interest — triggered by novelty, social context, or surprising information — can serve as a bridge to deeper individual interest over time. See Hidi & Renninger's four-phase model of interest development.

Learner Variables

Page metadata
Field Value
type claim
id task-value-increases-motivation-and-engagement
title Learners invest more effort in tasks they perceive as interesting, personally important, or useful to their future goals.
status review
evidence_strength strong
generated by process:wiki-ingest on 2026-04-13
trust unverified — no one has confirmed this page's content
sources 2 — eccles-wigfield-2002, wigfield-cambria-2010

Frontmatter is the page's machine-readable record — see the Schema & Guide.