Self-Determination Theory¶
Theory · All theories
Evidence · 92 claims (65 for, 25 mixed, 2 against) · 60 studies (22 associational, 13 review, 9 causal, 7 quant-synthesis, 6 theoretical, 2 design, 1 qualitative),q1–q4· 15 of 60 report an effect size · 86 claims rest on one study
Description¶
Self-Determination Theory (SDT) explains motivation in terms of the degree to which behavior is experienced as autonomous, competent, and socially connected. Developed by Edward Deci and Richard Ryan, the theory argues that learners are more likely to engage deeply and persist when three basic psychological needs are supported: autonomy, competence, and relatedness.
In instructional design, SDT is most often used to explain why some environments invite engaged, internally endorsed effort while others produce compliance, avoidance, or disengagement. The theory does not claim that structure is bad. It claims that structure works best when it supports rather than undermines a learner's sense of agency and capability.
"Pure" self-determination is an ideal rather than a realistic classroom default: class size, curricular obligations, and students' own personal histories all limit how fully a teacher can meet every student's basic needs at all times. The practical result is that most students experience only a partial sense of self-determination, and SDT treats the "intrinsic-ness" of any given motivation as a matter of degree rather than an all-or-nothing state — ranging from "pure" extrinsic motivation (no intention to act regardless of pressure or incentive), through externally-controlled, introjected (acting to avoid guilt or shame, without reflection), identified (recognizing an action's value toward a goal the learner does value, e.g. grades toward college admission), and integrated regulation (an action adopted as part of the learner's own self-concept), up to "pure" intrinsic regulation (acting solely because the activity itself is enjoyable) (Koestner & Losier, 2004). This reframes the teacher's job: not to expect purely intrinsic motivation at all times, but to arrange conditions that make each of a student's motivations as intrinsic as possible by supporting autonomy, competence, and relatedness.
Concrete tactics cluster around each need. Autonomy is supported chiefly by offering students choices wherever possible — the largest gains come from choices with real consequences (e.g., choosing project partners), but even minor choices (desk organization, folder color) contribute some sense of self-control, and choices should be offered to every student, not reserved for the highest performers (Ryan & Lynch, 2003). Minimizing external rewards and social comparison, and orienting instruction around students' own expressed interests, reinforces the same need. Competence is best supported by selecting tasks that are challenging but achievable with reasonable effort and assistance, favoring activities and questions (divergent rather than single-answer) that require an active response, giving feedback as immediately as possible, and providing accessible routes to help (a teacher, aide, reading, or program) when students get stuck (Elliott, McGregor, & Thrash, 2004). Relatedness is supported by structuring cooperative work that recognizes students' diversity and minimizes competition — "rich group work" tasks that deliberately require a mix of talents so each student contributes something distinct (Cohen, 1994; Cohen, Brody, & Sapon-Shevin, 2004; see also Social Interdependence) — and by the teacher's own relationship-building, such as habitually speaking of "we" rather than "you students." The Jigsaw Method (Aronson & Patnoe, 1997) is a structured example: expert groups research a subtopic, then reform into generalist groups so each member both contributes unique expertise and depends on peers for the rest.
These tactics are not unconditionally beneficial, however. Offering choice can help or backfire depending on how many options are offered and how meaningfully they differ: too many options, or options that don't actually differ in ways the learner cares about, can increase anxiety and indecision rather than autonomy — the evidence on how much choice is "enough" is genuinely mixed (Flowerday & Schraw, 2003; Deci & Ryan, 2003), and Schwartz (2004) argues explicitly that more choice is not always better once a threshold is passed.
Implications¶
Context¶
- Relevant wherever motivation, persistence, and ownership matter
- Particularly useful in goal setting, feedback, choice, game-based environments, and adult learning contexts
- Helps explain why autonomy-supportive structures can improve engagement even when tasks remain demanding
Target Learners¶
- Learners whose motivation depends strongly on perceived relevance and agency
- Learners rebuilding confidence or persistence after prior failure
- Adults and adolescents balancing external demands with internal goals
- Learners whose engagement depends on a strong sense of agency, progress, and belonging
- Learners recovering from repeated failure, compliance-only schooling, or disengagement
- Adolescents and adults balancing external demands with internal goals
Target Learning Objectives¶
- Sustained engagement and persistence
- Willingness to take ownership of learning goals
- Increased confidence through supported competence
- Stronger sense of belonging and participation
- Increase sustained engagement and persistence
- Strengthen learner ownership of goals and effort
- Improve motivation by supporting autonomy, competence, and relatedness together
Claims¶
- Specific, difficult goals lead to higher performance than easy or vague "do your best" goals. [~M]
- Self-regulated learning models treat self-monitoring as a core process through which learners notice gaps and adjust strategy [~M]
- Process goals lead to better skill acquisition for novices than outcome goals. [~M] — process goals can support competence for novices more effectively than pressure to hit outcomes immediately
- Low-proficiency EFL undergraduates report feeling more competent in English tasks through ChatGPT-assisted writing feedback, conversational practice, and translation support [+W] — attached 2026-10-10 from Annamalai N et al. (2026), which proposed "AI-mediated motivational ecology: an extension of Self-Determination Theory in which basic psychological needs are partly met through AI interaction".
- Students experience a perceived sense of support and connectedness through conversational ChatGPT interaction, though this is not genuine human relatedness [~W] — attached 2026-10-10 from Annamalai N et al. (2026), which proposed "AI-mediated motivational ecology: an extension of Self-Determination Theory in which basic psychological needs are partly met through AI interaction".
- Students report heightened autonomy in English learning through self-directed regulation, personalized feedback, and active evaluation of ChatGPT suggestions [+W] — attached 2026-10-10 from Annamalai N et al. (2026), which proposed "AI-mediated motivational ecology: an extension of Self-Determination Theory in which basic psychological needs are partly met through AI interaction".
- Perceived autonomy positively predicts both autonomy support for AI use and autonomous motivation for AI use [+W] — attached 2026-10-11 from Ahmed A et al. (2026), which proposed "Integrated SDT–EVT–TAM framework for student engagement in GenAI-supported learning".
- Perceived competence predicts autonomous motivation for AI use but not autonomy support for AI use [~W] — attached 2026-10-11 from Ahmed A et al. (2026), which proposed "Integrated SDT–EVT–TAM framework for student engagement in GenAI-supported learning".
- Secondary students in AI learning fall into three distinct SDT-based motivational profiles — Disengaged, Developing, and Self-Determined — at both pre- and post-test [+W] — attached 2026-10-11 from Liang et al. (2026), which proposed "SDT-based five-indicator operationalization of AI learning motivation".
- In agentic AI-supported online learning, perceived autonomy, competence, and relatedness are each positively associated with learning motivation [+W] — attached 2026-10-11 from Dhanya Pramod et al. (2026), which proposed "Integrated GDCT–SDT–SPT framework for agentic AI-supported online learning"; tests this page's relationship.
- Basic psychological need satisfaction is strongly associated with learning engagement among medical undergraduates [+W] — attached 2026-10-12 from He Qian et al. (2026), which proposed "Self-determination theory as a framework linking GAI use, psychological need satisfaction, and learning engagement"; tests this page's relationship.
- The comprehensive psychological need satisfaction configuration (competence core) has the highest coverage for high learning engagement, with GAI use unconstrained [+W] — attached 2026-10-12 from He Qian et al. (2026), which proposed "Self-determination theory as a framework linking GAI use, psychological need satisfaction, and learning engagement"; tests this page's relationship.
- Instructional approach operates indirectly through autonomy and competence, while task type operates primarily through autonomy [+M]
- The direct association between GAI use and learning engagement is not statistically significant, while the indirect association through need satisfaction is significant but small [+W]
- SDT need satisfaction predicted post-intervention willingness beyond baseline capacity, while post-intervention TPACK showed only a weak, non-significant association with willingness [+W]
- GAI use is weakly positively associated with basic psychological need satisfaction among medical undergraduates [+W]
- School-side support (teacher, instructional, and institutional provision) is associated with learners' motivation, engagement, and need satisfaction [+W]
- GAI use appears as a core condition only in a supplementary autonomy–relatedness configuration with low unique coverage [~W]
- More teacher support in AI-based instruction is not always better; a review found support worked well when balanced with students' autonomy and independent thinking [~W]
- Educator involvement in choosing a pilot tool is associated with higher engagement and implementation fidelity, while lack of autonomy contributed to low usage and negative feelings [+W]
- Inattention moderates how baseline competence frustration and baseline autonomy translate into perceived AI benefits, weakening both positive associations [~W]
- Openness and need for relatedness are associated with teachers' AI use indirectly through pedagogical AI competence, with relatedness negatively associated with competence [~W]
- Autonomy-supportive training programs are overall effective, with a weighted effect size of 0.63 across 19 studies [+W] — attached 2026-10-15 from Su et al. (2011), which proposed "Autonomy-supportive training programs as a class of interventions grounded in self-determination theory".
- Amotivation increased in both conditions during the intervention, but the increase was smaller in the need-supportive condition [+W] — attached 2026-10-18 from Louise Maddens et al. (2023), which proposed "Self-determination theory and Basic Psychological Need Theory as a framework for motivation in complex-skill learning".
- Autonomous motivation decreased and controlled motivation increased overall, with no differences between the need-supportive and baseline conditions [-W] — attached 2026-10-18 from Louise Maddens et al. (2023), which proposed "Self-determination theory and Basic Psychological Need Theory as a framework for motivation in complex-skill learning"; tests this page's relationship.
- Instruction-only students perceived learning control comparably high to example generators, while provided-example students perceived lower control [~W]
- No significant associations between relational goals and autonomy, nor between mastery goals and evaluation or autonomy [~W]
- Children with ADHD show higher external regulation, introjected regulation and amotivation, and lower intrinsic motivation and identified regulation, toward learning than TD children [+W]
- Adult learners score much higher in autonomous than controlled regulation, with autonomous regulation mean 3.44 versus controlled 2.42 [+W]
- Autonomous regulation correlates positively with self-efficacy, learning strategies, and behavioral engagement, while controlled regulation shows no significant linear relations with these outcomes [+W]
- No clear effect of robot anthropomorphism on human autonomy or sense of agency emerges across reviewed studies [~W]
- Capacity, opportunity, and transition empowerment predicted students' self-reported self-determination, but degree of inclusion in general education did not [+W]
- Simulated one-standard-deviation increases in autonomy yield only modest predicted changes in ICT career aspirations [+W]
- Men show significantly lower autonomous regulation than women among adult learners [~W]
- Adult learners' motivation clusters into four profiles combining autonomous and controlled regulation, replicating the structure expected from SDT research with younger students [+W]
- More effective autonomy-support training programs trained multiple elements of autonomy support [+W]
- Parental factors: autonomous motivation relates to adolescent creativity more strongly with high maternal involvement [~W]
- Robot exposure affects human autonomy and sense of agency, but no general conclusion about the direction of the effect can be drawn [~W]
- Free choice of activities increases performance, task interest, and persistence across ages and settings [+W] — attached 2026-10-19 from Angeline S. Lillard (2019), which proposed "Self-determination as Montessori's central premise, with evidence-based corollaries"; tests this page's relationship.
- Extrinsic rewards deplete intrinsic motivation for already-motivated activities once the rewards are removed [+W] — attached 2026-10-19 from Angeline S. Lillard (2019), which proposed "Self-determination as Montessori's central premise, with evidence-based corollaries"; tests this page's relationship.
- Autonomous motivation types positively relate to school achievement while controlled types show weak negative or null relations [+W]
- Satisfaction of basic psychological needs is positively associated with autonomous motivation, with competence the strongest predictor [+W]
- The BPNSFS 3×2 six-facet structure (three needs × satisfaction/frustration) fits Australian school-leader data excellently and better than models collapsing valence [+W] — attached 2026-10-20 from Marsh et al. (2025), which proposed "SDT dual-process model of need satisfaction and frustration applied to constrained-autonomy leadership roles".
- Competence and relatedness show distinct content pathways: competence with capability indicators (self-efficacy, progress, resilience) and relatedness with interpersonal-climate indicators (collegial support, trust, social capital) [+W]
- Three-facet MTMM (content × valence × time) supports the SDT 3×2 architecture, with content the stronger separative force and 20 of 21 planned comparisons supported [+W]
- Competence need satisfaction is the strongest psychological-need predictor of students' self-determined motivation types [+M] — attached 2026-10-20 from Bureau et al. (2022), which proposed "Self-determination theory's motivational sequence: autonomy support → psychological need satisfaction → motivation quality"; tests this page's relationship.
- Teacher autonomy support predicts students' need satisfaction and self-determined motivation more strongly than parental autonomy support [+M] — attached 2026-10-20 from Bureau et al. (2022), which proposed "Self-determination theory's motivational sequence: autonomy support → psychological need satisfaction → motivation quality"; tests this page's relationship.
- Autonomous and intrinsic forms of motivation are positively associated with time management, while controlled motivation and amotivation show negative or null associations [+W]
- Teacher autonomy support and provision of structure are positively correlated across studies, with a pooled correlation of r = 0.53 [+W] — attached 2026-10-21 from Alexandra Patzak (2025), which proposed "Autonomy support as a multi-component instructional construct (ten defining components)".
- The autonomy support–structure relationship is moderated by data collection method and school level [~W]
- Teachers who facilitate both autonomy and structure report motivation to teach and felt teaching effectiveness [+W]
- HET's three principles conceptually align with SDT's autonomy support, structure, and involvement [+W] — attached 2026-10-21 from Lisette Hornstra et al. (2023), which proposed "Integrated HET–SDT model with need satisfaction mediating between teaching practices and student outcomes".
- Autonomous and controlled motivation correlate positively and strongly across countries (r = .544), and each relates positively to mathematics achievement (r = .248 and r = .080) [+W] — attached 2026-10-21 from Núñez-Regueiro (2024), which proposed "Bidimensional (circumplex) approach to SDT's motivational regulations, projecting the six regulation types onto combined autonomous and controlled motivation dimensions".
- In 14 countries, a cubic effect of autonomous motivation best fit the motivation-achievement relation, explaining 10.7% of achievement variance (an 8.1% increase over the additive model) [+W]
- A key divergence: SDT theorizes need thwarting as an active, independent dimension predicting unique negative outcomes, while HET focuses on positive teaching dimensions [+W]
- Introjected regulation is positively related to Korean students' achievement and self-regulated learning despite its association with academic stress [~W]
- Consistent with the dual process model, autonomy-outcome correlations are stronger when the valence of need experience and outcome match [+W] — attached 2026-10-21 from Amanda Vite et al. (2024), which proposed "Dual process model of basic psychological need satisfaction and frustration".
- Autonomy need satisfaction and autonomy need frustration are each negatively correlated with outcomes among K-12 youth (ill-being and well-being respectively) [+W]
- Meta-analytic evidence supports autonomy's universality, with student and teacher autonomy predicting better outcomes across cultures [+W]
- Autonomous motivation is the strongest positive predictor of hedonic teacher wellbeing (ρ = .83) [+W]
- Teachers' motivating styles of autonomy support and structure correlate with lower extraneous cognitive load, while chaos and domineering control correlate with higher extraneous load, in a sinusoidal circumplex pattern [+W] — attached 2026-10-22 from Evans et al. (2024), which proposed "Circumplex model of teachers' motivating styles organized by need support and directiveness".
- The demanding subarea of teacher control shows near-zero or ambiguous correlations with motivation, engagement, and achievement, unlike the domineering subarea [~W] — attached 2026-10-22 from Evans et al. (2024), which proposed "Circumplex model of teachers' motivating styles organized by need support and directiveness".
- Maternal autonomy granting in Grade 2 positively predicts children's task persistence in Grade 3, but not from Grade 3 to Grade 4 [+W] — attached 2026-10-22 from Viljaranta et al. (2017), which proposed "Self-determination theory-based typology of maternal homework assistance: help, monitoring, and autonomy granting"; tests this page's relationship.
- Classroom-level teacher structure is linked with students' behavioral, cognitive and emotional engagement in language classes [+W] — attached 2026-10-22 from Hospel et al. (2016), which proposed "Self-determination theory as the framework linking teacher autonomy support and structure to student engagement".
- Teacher autonomy support is associated with students' emotional engagement, playing a complementary role to structure [+W] — attached 2026-10-22 from Hospel et al. (2016), which proposed "Self-determination theory as the framework linking teacher autonomy support and structure to student engagement".
- Main effects and the interaction of classroom autonomy support and structure were tested on the three engagement components using multilevel analyses [~W]
- Higher grades occur when high autonomous motivation coincides with low controlled motivation (incongruence), not congruence [+W] — attached 2026-10-23 from Mouratidis et al. (2021), which proposed "Self-Determination Theory quality-of-motivation account of academic achievement"; tests this page's relationship.
- Controlled motivation negatively predicts school grades and does not compensate for low autonomous motivation [+W] — attached 2026-10-23 from Mouratidis et al. (2021), which proposed "Self-Determination Theory quality-of-motivation account of academic achievement"; tests this page's relationship.
- The relation of autonomous motivation to grades is curvilinear, with grades accelerating at higher autonomous motivation [+W] — attached 2026-10-23 from Mouratidis et al. (2021), which proposed "Self-Determination Theory quality-of-motivation account of academic achievement".
- Competence frustration is indirectly and positively associated with teacher-rated passive disengagement via reduced subjective vitality [+W] — attached 2026-10-23 from Stephen R. Earl et al. (2016), which proposed "Dual-process model of need frustration underpinning active versus passive classroom disengagement"; tests this page's relationship.
- Autonomy frustration directly and positively predicts teacher-rated active disengagement, not explained by reduced vitality [+W] — attached 2026-10-23 from Stephen R. Earl et al. (2016), which proposed "Dual-process model of need frustration underpinning active versus passive classroom disengagement"; tests this page's relationship.
- Higher levels of and stronger increases in parental academic pressure are associated with higher levels of and stronger increases in controlled academic motivation across the secondary school transition [+W] — attached 2026-10-23 from Wang et al. (2025), which proposed "Self-Determination Theory account of controlled and autonomous academic motivation shaped by relationships with parents, peers, and teachers"; tests this page's relationship.
- Higher levels of and stronger increases in perceived negative relationships with teachers are associated with lower levels of and stronger decreases in autonomous academic motivation across the secondary school transition [+W] — attached 2026-10-23 from Wang et al. (2025), which proposed "Self-Determination Theory account of controlled and autonomous academic motivation shaped by relationships with parents, peers, and teachers"; tests this page's relationship.
- A global factor across autonomy support, structure, and involvement provides optimal support to classroom-level engagement (global hypothesis supported) [+W] — attached 2026-10-23 from Olivier et al. (2021), which proposed "Global need-supportive teaching configuration: engagement depends on the global level across autonomy support, structure, and involvement".
- Jointly considered, all three need-supportive practices are not each associated with classroom-level engagement (additive hypothesis not supported) [~W] — attached 2026-10-23 from Olivier et al. (2021), which proposed "Global need-supportive teaching configuration: engagement depends on the global level across autonomy support, structure, and involvement".
- Greatest engagement benefits do not emerge in classrooms high on two or three need-supportive practices (synergistic hypothesis not supported) [~W] — attached 2026-10-23 from Olivier et al. (2021), which proposed "Global need-supportive teaching configuration: engagement depends on the global level across autonomy support, structure, and involvement".
- Specific imbalance factors in autonomy support, structure, and involvement contribute to some aspects of classroom-level engagement [+W]
- Mothers' early autonomy support uniquely predicts children's executive functions at 54 months over and above warmth, cognitive stimulation, and covariates [+W] — attached 2026-10-23 from Bindman et al. (2015), which proposed "Self-Determination Theory-based account: autonomy-supportive parenting fosters executive functions via autonomous motivation and practice on challenging activities".
- Children's executive functions at 54 months partly account for the association between mothers' early autonomy support and achievement in elementary and high school [+W] — attached 2026-10-23 from Bindman et al. (2015), which proposed "Self-Determination Theory-based account: autonomy-supportive parenting fosters executive functions via autonomous motivation and practice on challenging activities".
- Classroom autonomy-supportive climate moderates teacher expectation effects: significant in low-autonomy-supportive classrooms but not in high ones [~M] — attached 2026-10-23 from David Trouilloud et al. (2006), which proposed "Self-determination theory account of autonomy-supportive climate as a moderator of social influence on students".
- Teachers' expectations and perceived autonomy-supportive climate are uncorrelated, making climate an unlikely consequence of expectations [~W]
- Students labeled with low teacher expectations reported weaker later perceived competence in low autonomy-supportive classrooms (a correlational moderation) [+W]
- Students empirically distinguish autonomy dissatisfaction from autonomy satisfaction and autonomy frustration (3-factor ESEM solution) [+W] — attached 2026-10-24 from Sung Hyeon Cheon et al. (2019), which proposed "Three-state model of the psychological need for autonomy: satisfaction, frustration, and dissatisfaction".
- Intervention-enabled decreases in autonomy dissatisfaction uniquely predicted decreased end-of-semester disengagement after controlling for autonomy satisfaction and frustration [+W] — attached 2026-10-24 from Sung Hyeon Cheon et al. (2019), which proposed "Three-state model of the psychological need for autonomy: satisfaction, frustration, and dissatisfaction"; tests this page's relationship.
- Need-based experiences mediate the effects of task difficulty and instructional style on motivational, cognitive, affective and behavioral outcomes [+W]
- Children's autonomous and controlled motivation for mathematics rarely moderate the effects of task difficulty and instructional style [~W]
- Student perceptions of autonomy support, structure, and involvement positively predict student self-determination, mediated by autonomy and competence need satisfaction [+W] — attached 2026-10-24 from Taylor et al. (2007), which proposed "Self-determination theory motivational sequence in physical education"; tests this page's relationship.
- Teacher-reported strategies show a different pattern: involvement positively predicts student self-determination via relatedness, autonomy support negatively predicts it, and structure does not predict it [-W] — attached 2026-10-24 from Taylor et al. (2007), which proposed "Self-determination theory motivational sequence in physical education".
- Teachers' self-determination mediates the link between perceived class self-determination and reported autonomy support and involvement, but not structure [~W]
- Teachers' perceptions of class average self-determination predict their reported use of autonomy support, involvement, and structure [+W]
The evidence by question¶
- Does autonomy-supportive teaching raise motivation and engagement compared with controlling teaching? Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it [+S]
- Do learners whose needs for autonomy, competence and relatedness are met engage, persist and perform better, and which need matters most? Basic psychological need satisfaction is strongly associated with learning engagement among medical undergraduates [+M]
- Do rewards and praise undermine voluntary engagement? Expected tangible rewards reduce later free-choice engagement with a rewarded task, while verbal praise does not [+S]
Related Theories¶
- Self-Regulated Learning — SDT helps explain why learners may or may not take up the self-regulatory behaviors SRL describes
- Rightful Presence — rightful presence's emphasis on authored, non-conditional belonging overlaps with SDT's relatedness and autonomy conditions
- Self-Efficacy Theory — both treat perceived competence as central, though SDT frames it as one of three basic needs (with autonomy and relatedness) rather than a task-specific belief
- Attribution Theory — controllable attributions support the sense of autonomy and competence SDT identifies as basic needs
- Expectancy-Value Theory — task value overlaps with the sense of relevance and autonomy SDT-informed design also targets
- ARCS Model of Motivational Design — ARCS's Relevance and Confidence tactics draw directly on SDT's autonomy and competence needs
- Self-determination theory: a motivation and personality theory built on three basic psychological needs
- SDT motivational spectrum from amotivation through four extrinsic regulations to intrinsic motivation
- Self-Determination Theory as a framework for L2/ESP motivation
- SDT motivation continuum: four forms of extrinsic motivation varying in autonomy
- Self-determination theory: three basic psychological needs underpin intrinsic motivation
- Self-determination theory framework of intrinsic and extrinsic motivational orientations for L2 learning
- Internalization-based mapping between SDT motivation types and L2MSS self constructs
Examples¶
- Goal Setting & Monitoring
- Learner Choice
- Strengths-based Approach
- Game-Based Learning
- Identity-Centered e-Textile Making — autonomy over identity expression, competence through scaffolded technical projects, and relatedness through an affirming peer community
- Epistemic Games
- Digital Open Badges
- Implement GenAI in higher education in ways that support autonomy, competence, relatedness, and value to sustain motivation and engagement
- Need-supportive 4C/ID learning environment with 12 integrated autonomy, competence and relatedness implementations
- Promote autonomous motivation in low-education adult learners by helping them grasp the meaning of education and providing choice and volition
- Teaching Through Interactions framework
- Target teachers first in autonomy-support interventions to foster student autonomous motivation
- Go beyond autonomy support with competence-supporting behaviors such as high-quality feedback
- Teachers should consciously invest in involvement behaviors—showing interest and emotional support—to foster student connectedness and self-determined motivation
Key Sources¶
- Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268. https://doi.org/10.1207/S15327965PLI1104_01
- Ryan, R. M., & Deci, E. L. (2020). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Press.
- Koestner, R., & Losier, G. F. (2004). Distinguishing three ways of being highly motivated: A closer look at introjection, identification, and intrinsic motivation. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 101-121). University of Rochester Press.
- Ryan, R. M., & Lynch, M. F. (2003). Motivation and classroom management. In R. Curwin, A. Mendler, & B. Mendler (Eds.), Discipline with dignity. Association for Supervision and Curriculum Development.
- Elliott, A. J., McGregor, H. A., & Thrash, T. M. (2004). The need for competence. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 361-387). University of Rochester Press.
- Cohen, E. G. (1994). Restructuring the classroom: Conditions for productive small groups. Review of Educational Research, 64(1), 1-35. doi:10.3102/00346543064001001
- Cohen, E. G., Brody, C. M., & Sapon-Shevin, M. (2004). Teaching cooperative learning: The challenge for teacher education. State University of New York Press. doi:10.1353/book4767
- Aronson, E., & Patnoe, S. (1997). The jigsaw classroom: Building cooperation in the classroom (2nd ed.). Longman.
- Flowerday, T., & Schraw, G. (2003). Effect of choice on cognitive and affective engagement. The Journal of Educational Research, 96(4), 207-215. doi:10.1080/00220670309598810
- Schwartz, B. (2004). The paradox of choice: Why more is less. Ecco.
- Deci, E. L., & Ryan, R. M. (2003). Handbook of self-determination research. University of Rochester Press.
- Arduini-Van Hoose, N. (2020). Self-determination theory. In Educational psychology. Retrieved from https://edpsych.pressbooks.sunycreate.cloud. CC BY-NC-SA 4.0.
- Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits. Psychological Inquiry, 11(4), 227-268.
Page metadata
| Field | Value |
|---|---|
type |
theory |
title |
Self-Determination Theory |
description |
Self-Determination Theory (SDT) explains motivation in terms of the degree to which behavior is experienced as autonomous, competent, and socially connected. |
status |
review |
canonical |
True |
moved_from |
principle/self-determination-theory |
generated |
by claude/unspecified on 2026-08-29 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — deci-2000 |
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