Instruction should present the learning task as engaging and meaningful and promote positive expectations of success, because effort requires that learners value the task and believe they can succeed¶

Claim · All claims
Evidence · 1 study · review r2 · q1
Currency · newest study 1997 · not yet checked against its sources · not reviewed by a person
Evidence quality · No study behind this claim is a peer-reviewed article with a DOI: it rests on an ERIC document (a report, conference paper or thesis). It is kept because 2 design pages cite it; treat it as a lead to check, not an established finding.

Subclaims¶

q1 i? The digest argues, from expectancy-value theory, that effort needs two prerequisites (valuing the task and believing one can succeed), so the learning task should be engaging, meaningful and promote positive expectations of success. → Small 1997

Evidence¶

Small 1997¶

Small, Ruth V. (1997). Motivation in Instructional Design. ERIC Digest. ERIC Clearinghouse on Information and Technology. https://eric.ed.gov/?id=ED409895

q1 · i? · review · r2

Theoretical argument in the digest, not a tested result. It states that in expectancy-value theory effort has two prerequisites, value and belief in success, and concludes the task must be presented "in a way that is engaging and meaningful to the student". No data are reported.

"Therefore, in an instructional situation, the learning task needs to be presented in a way that is engaging and meaningful to the student, and in a way that promotes positive expectations for the successful achievement of learning objectives."

Studies bearing on this claim¶

Does motivation as ARCS defines it (attention, relevance, confidence, satisfaction) go with learners' effort and use, and do design choices raise it? This table gathers the studies behind this claim and the 6 narrower claims that bear on it: 4 distinct studies (1 review, 1 associational, 1 causal, 1 qualitative), q1–q2, 2 of 4 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.

Discussion¶

Related Claims¶

• Task Value Increases Motivation And Engagement
• The ARCS Model is described as an easy-to-apply heuristic approach to increasing the motivational appeal of instruction, asserted without evidence in this digest — related
• Learners' task-specific self-efficacy beliefs predict whether they initiate, persist through, and recover from difficulty on academic tasks. — related
• Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it — related
• Teachers who believe AI use will contribute to their professional success and identity (attainment value) may be more motivated to use it (theoretical argument). — related
• Teachers who believe AI will help them reach professional goals and improve students' learning outcomes (utility value) may be more motivated to use it (theoretical argument). — related
• Student-centered writing environments are argued to lower anxiety, increase confidence, and provide natural language contexts — related
• Teachers' expectancy beliefs about successfully using AI applications shape their motivation to use them (theoretical argument). — a narrower finding that bears on this claim
• Appropriately used technology can support practices that improve achievement, but inappropriate use can harm student performance — related
• Preservice elementary teachers hold positive outcome expectancy beliefs that effective teaching improves student EE learning — a narrower finding that bears on this claim
• Developing a common understanding of expected learning helps all students succeed, not only those with school-aligned prior knowledge — related
• Chatbot integration in a smart classroom is expected by the authors to increase learner engagement and academic achievement — a narrower finding that bears on this claim
• Expectancies of success and intrinsic task value positively predict achievement test scores, but language-related variables show no indirect effects on achievement via these beliefs — a narrower finding that bears on this claim
• Students’ language abilities positively predict their expectancies of success while learning from an instructional video, but not their intrinsic task value — related
• Expectancies for success predict academic achievement more strongly than task values — related
• The teacher behaviours most predictive of engagement change do not neatly fit within any single motivational theory, supporting theoretical integration — related
• Students value GenAI corrective feedback with rationales and report increased motivation and confidence — a narrower finding that bears on this claim
• Participants identified assessment redesign approaches for helping all students feel successful, centering relevance, lowered stakes, choice, emotional support, and preparation — a narrower finding that bears on this claim
• Teachers shape writing outcomes through instructional practices and through engagement, support, and feedback — related
• Teachers who find using AI enjoyable, engaging and satisfying (intrinsic/interest value) may be more motivated to use it (theoretical argument). — a narrower finding that bears on this claim
• A 1977 theoretical paper on writing asserts, citing unspecified experiments, that stating tasks and standards for success explicitly strongly raises student motivation — related
• The review proposes that embodied language learning engages learners holistically while promoting language skills and adding emotional and motivational benefits — related
• Playful study design fosters engagement, flow, and goal attainment, with strongest effects for students high in proactive personality — a narrower finding that bears on this claim