التفاصيل البيبلوغرافية
| العنوان: |
Adaptive Learning |
| المؤلفون: |
Grundtman, Per |
| بيانات النشر: |
Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| سنة النشر: |
2017 |
| المجموعة: |
Luleå University of Technology Publications / Publikationer Luleå Tekniska Universitet |
| مصطلحات موضوعية: |
adaptive learning, machine learning, e-learning, biosyncing, biometric sensors, Empatica E4, Intelligent Tutoring Systems, WEKA, Computer and Information Sciences, Data- och informationsvetenskap, Engineering and Technology, Teknik och teknologier |
| الوصف: |
The purpose of this project is to develop a novel proof-of-concept system in attempt to measure affective states during learning-tasks and investigate whether machine learning models trained with this data has the potential to enhance the learning experience for an individual. By considering biometric signals from a user during a learning session, the affective states anxiety, engagement and boredom will be classified using different signal transformation methods and finally using machine-learning models from the Weka Java API. Data is collected using an Empatica E4 Wristband which gathers skin- and heart related biometric data which is streamed to an Android application via Bluetooth for processing. Several machine-learning algorithms and features were evaluated for best performance. |
| نوع الوثيقة: |
bachelor thesis |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61648Test |
| الإتاحة: |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61648Test |
| حقوق: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.11CCD425 |
| قاعدة البيانات: |
BASE |
