Pre-actional metacognitive, motivational, and positive-emotional components are positively associated with regulatory behavior in the actional phase, while anger and anxiety are negatively associated¶
Claim · All claims
Evidence · 1 study · associationalr1·q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
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.
q3 i? Planning, task value, self-efficacy, goal orientation, and joy were significantly positively associated with regulation, whereas anger and anxiety showed significant negative associations. → Mathias Mejeh 2026
q3 i? No significant relationship was found between hope and regulation; it only reached marginal significance (p < .10). → Mathias Mejeh 2026
Evidence¶
Mathias Mejeh 2026¶
Mathias Mejeh, Yvonne M. Fromm (2026). Fostering self-regulated learning through adaptive learning technology: A differentiated perspective on the role of feedback. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2026.102394
q3 · i? · associational · r1
Longitudinal multilevel analysis (HLM) of weekly self-reports from 194 university students over eight weeks of homework in an ALT-supported stochastics course, testing the pre-actional to actional transition. The model found planning, task value, self-efficacy, goal orientation, and joy "significantly positively associated with regulation" and anger and anxiety negatively associated.
"the linear mixed-effects model revealed that planning, task value, self-efficacy, goal orientation, and joy were significantly positively associated with regulation. Conversely, anger and anxiety showed significant negative associations with regulation."
Discussion¶
Learner Variables¶
- Affect Regulation — outcome: instruction changes it
- Academic Anxiety — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Emotion regulation is positively associated with academic motivation among university students — the general claim this finding bears on, with the studies behind it
- Different forms of feedback within a single ALT play distinct, phase-specific roles in SRL, with directive feedback appearing helpful before but not after task engagement — related
- Transformative feedback attenuated the positive association between joy and regulatory behavior, and adaptive feedback moderation was otherwise limited, not supporting H2 — related
- Low- and high-proficiency EFL learners differ significantly in self-efficacy, intrinsic goal orientation, and test anxiety — related
- Learners invest more effort in tasks they perceive as interesting, personally important, or useful to their future goals. — a broader claim this one bears on
- Learners' task-specific self-efficacy beliefs predict whether they initiate, persist through, and recover from difficulty on academic tasks. — a broader claim this one bears on
- Positive academic mindsets increase perseverance and academic behaviors, yielding higher grades; negative mindsets produce a self-defeating cycle — related
- Intrinsically motivated students form reflective-iterative metacognitive co-occurrence networks, but overall ENA centroid positions do not differ significantly between motivational groups — related
- Adaptive motivation predicts greater behavioral, cognitive and emotional engagement in master's thesis students — related
- Emotion affects motivation, which in turn affects mental effort investment during learning — related
- The SRL and SAL perspectives on student motivation and learning differ, and the article discusses those differences — related
- University students and teachers perceive anger, boredom and fear as the most salient negative emotions in learning, with students mentioning sadness and self-conscious emotions more than faculty — related
- Autonomous regulation correlates positively with self-efficacy, learning strategies, and behavioral engagement, while controlled regulation shows no significant linear relations with these outcomes — related
- Children showing high levels of negative externalizing emotions during the challenge task are rated as less socially competent, more hyperactive, and with poorer interpersonal and self-regulatory skills — related
- Trait emotional intelligence showed no significant association with university GPA, despite correlating with engagement, SRL strategies and self-efficacy
- Achievement, effort-related variables, (meta-)cognitive learning strategies, and goal orientations are the most frequently reported correlates of motivation regulation — related
- The tribute reports that self-efficacy consistently outperformed anxiety as a predictor of academic performance — related
- Perceived teacher scaffolding is associated with more surface- and deep-level strategy use during the performance phase of SRL — related
- AI anxiety is negatively associated with emotion regulation among university students — related
- SRL-O subscales show convergent validity with corresponding MSLQ scales — related
- Greater anger, hopelessness, and negative emotions overall during reading are associated with poorer text comprehension, while positive emotions show no relation — related
- Self-efficacy positively and test anxiety negatively predicted classroom grades, while test anxiety positively predicted cognitive strategy use but negatively predicted regulatory strategy use — related
- Groups perceiving a learning situation as challenging switched frequently between planning and performance phases of regulation — related
- Self-regulatory activities mediate the relationship between person, context, and achievement — related
- Emotion Labeling Improves Regulation — related
- Students use strategies to regulate their own motivation and affect — related
- An emotion-control strategy is expected to lower state anxiety early in training, with a stronger negative relationship for trainees high in trait anxiety — related
- Blended learning designs pay most affective-climate attention to motivating and mental-effort tasks while neglecting appraising and dealing with emotions — related
- Affective reactivity can override adolescents' regulatory intentions for digital engagement — related
- Positive academic emotions correlate positively with interest, effort, flexible learning strategies, and perceived self-regulation, while boredom and hopelessness correlate negatively with all of these motivational variables — related
- Negative normative feedback lowered math performance indirectly via reduced hope — related
- Higher education teachers' self-efficacy beliefs at semester start positively predict students' end-of-course overall rating, learning, and joy, and negatively predict boredom — related
- E-learning self-efficacy relates to both positive and negative achievement emotions, while computer self-efficacy relates only to positive emotions — related
- Specific goals show distinct directional effects: mastery approach and relational goals predict positive affect, beneficial help attitudes, and teaching quality, while work avoidance and appearance avoidance goals predict poorer outcomes. — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
pre-actional-components-predict-actional-regulation |
title |
Pre-actional metacognitive, motivational, and positive-emotional components are positively associated with regulatory behavior in the actional phase, while anger and anxiety are negatively associated |
description |
Pre-actional metacognitive, motivational, and positive-emotional components are positively associated with regulatory behavior in the actional phase, while anger and anxiety are negatively associated |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mathias-mejeh-2026 |
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