Research POC • Doctoral Project • EKKE
A scientifically grounded adaptive learning platform that measures self-regulated learning, cognitive need, and the system's impact on learning outcomes using validated psychometric instruments.
Learn more01 — THE RESEARCH
The AI24Tutors platform is a doctoral research adaptive intelligent tutoring system (ITS) POC, developed for scientific investigation of student-system interactions within the course "Foundations of Computer-Based Analysis".
The study employs a single-group pre-post quasi-experimental design with N=30 university students. Primary hypothesis (H1): students' self-regulated learning scores (OSLQ) will significantly improve after platform use. Secondary hypothesis (H2 moderator): the Need for Cognition (NCS-6) moderates the effect size.
The study is methodologically preregistered on OSF.io; data handling is GDPR-compliant with pseudonymised data flow management (DMP). All applied instruments are internationally validated, with versions adapted to three languages (Hungarian, English, German).
02 — VALIDATED METHODS
To measure student experience, learning outcomes, and system usability, the platform exclusively uses validated scales with high reliability (Cronbach α > 0.70).
Online Self-Regulated Learning Questionnaire
Self-regulated learning (H1 primary)
Need for Cognition Scale, 6-item
Cognitive need (H2 moderator)
Computer Self-Efficacy Scale
Computer self-efficacy
Ten-Item Personality Inventory
Big Five personality profile
Technology Readiness Index
Technology readiness
Cognitive Load Scale
Cognitive load measurement
Situational Motivation Scale
Situational motivation
System Usability Scale
System usability
User Experience Questionnaire, Short
User experience
Perceived Learning Gain
Perceived learning advancement
Behavioral Intention (UTAUT)
Behavioural intention
Paas Mental Effort Rating
Mental effort (micro-ESM)
Experience Sampling Method
Per-lesson short rating
03 — CONTACT
Lajos Toldi
doctoral researcher