Emotion-Adaptive Learning Platform

A tétel rövid nézete
dc.contributor.advisorBujdosó, Gyöngyi
dc.contributor.authorAljaber, Faiz
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2026-02-12T17:49:06Z
dc.date.available2026-02-12T17:49:06Z
dc.date.created2025-11-12
dc.description.abstractE-learning platforms often neglect learner disengagement, and current adaptive systems that infer emotions raise privacy, ethical, and legal concerns, especially under the EU AI Act. This thesis presents an emotionally adaptive platform that pivots from automated emotion inference to a learner-controlled self-report model grounded in self-regulated learning and achievement emotions frameworks. Developed as a modular monolith using Java Spring Boot and React/TypeScript, the system enables students to self-report via an "Emotion Bar" and receive rule-based interventions (e.g., AI summaries for confusion, humorous rewrites for boredom), while teachers can create lessons via PDF parsing, generate quizzes, and communicate with students. This research demonstrates that transparent, human-centered adaptive systems can enhance learner agency, provide meaningful support, and ensure data privacy and legal compliance.
dc.description.courseMérnökinformatikus
dc.description.degreeBSc/BA
dc.format.extent59
dc.identifier.urihttps://hdl.handle.net/2437/404364
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectEmotion-Adaptive Learning
dc.subjectFull Stack Development
dc.subjectHuman Computer Interaction
dc.subjectAI Powered Adaptive Interventions
dc.subjectSelf Regulated Learning (SRL)
dc.subject.dspaceInformatics::Computer Science
dc.titleEmotion-Adaptive Learning Platform
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
thesis.pdf
Méret:
1.58 MB
Formátum:
Adobe Portable Document Format
Leírás:
thesis
Megjelenítés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.95 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Theses (IK)