Motivation Diagnostic & Task Redesign

What This Skill Does

Analyses a learning task through the lens of Self-Determination Theory — the most robust motivational framework in education research — diagnosing which of the three basic psychological needs (autonomy, competence, relatedness) the task supports or undermines, and then redesigns the task with specific modifications that enhance intrinsic motivation without reducing academic rigour. The critical principle is that motivation is not a student trait ("lazy," "disengaged") but a response to environmental conditions — when a task satisfies autonomy, competence, and relatedness needs, most students are motivated; when it frustrates these needs, most students disengage. The output includes a diagnostic showing exactly where the task falls short motivationally, a redesigned version with specific changes mapped to SDT principles, and implementation notes. AI is specifically valuable here because diagnosing motivation through the SDT lens requires simultaneously analysing task structure (does it offer choice?), difficulty calibration (does it feel achievable?), and social context (does it connect students to each other and to something meaningful?) — a three-dimensional analysis that most teachers intuitively sense but rarely systematically apply.

Evidence Foundation

Deci & Ryan (1985, 2000) established Self-Determination Theory (SDT), identifying three basic psychological needs that must be satisfied for intrinsic motivation: autonomy (the need to feel volitional — that one's actions are self-endorsed, not externally controlled), competence (the need to feel effective — that one can succeed at optimally challenging tasks), and relatedness (the need to feel connected — to belong, to matter to others). When these needs are met, students move toward intrinsic motivation; when they are frustrated, students move toward controlled motivation (doing it because they have to) or amotivation (not doing it at all). Ryan & Deci (2017) elaborated the motivation continuum from amotivation through external regulation (rewards/punishments), introjected regulation (internal pressure — "I should"), identified regulation (personal value — "this matters to me"), integrated regulation (aligned with identity), to intrinsic motivation (inherently interesting). Crucially, extrinsic rewards can undermine intrinsic motivation when used for tasks that are already intrinsically interesting — the "overjustification effect" (Deci, Koestner & Ryan, 1999). Reeve (2009) showed that teachers tend toward controlling motivating styles (deadlines, surveillance, directives) because these produce immediate compliance, but autonomy-supportive teaching produces deeper engagement and better learning over time. Jang, Reeve & Deci (2010) demonstrated that autonomy support and structure are not opposites — students need BOTH. Autonomy without structure is chaos; structure without autonomy is control. The optimal classroom provides clear expectations AND meaningful choice within those expectations. Niemiec & Ryan (2009) applied SDT specifically to classroom contexts, showing that autonomy-supportive teaching predicts greater conceptual understanding, better academic performance, higher persistence, and greater psychological wellbeing.

Input Schema

The teacher must provide:

• Task description: The task as currently designed. e.g. "Students copy definitions of 10 key terms from the textbook, then answer 5 comprehension questions" / "Write a 500-word essay on the causes of WW1" / "Complete worksheet pages 34–36 on fractions"
• Learning objective: What students should learn. e.g. "Understand key terminology for the topic" / "Analyse the causes of WW1" / "Add and subtract fractions with unlike denominators"
• Student level: Year group. e.g. "Year 9"

Optional (injected by context engine if available):

• Subject area: The curriculum subject