Human-AI Cognition & Performance / Reading and Language Development
SUB-0048Oral Language Development
Definition
Oral Language Development examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.
Why this matters
Oral Language Development may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.
Research questions
Can conversational AI support vocabulary, grammar and narrative skills in natural interaction?
Hypotheses
Structured turn-taking and recasting will improve expressive language more than unrestricted conversation.
Proposed methods
standardised literacy assessments; reading-session telemetry; controlled tutoring pilots; audio analysis; teacher and parent reports; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief
Stakeholders and beneficiaries
children; parents; teachers; literacy specialists; speech pathologists; schools; libraries; education departments; speech-language pathologists; multilingual education specialists