Skip to main navigation
Skip to search
Skip to main content
University of Applied Sciences Upper Austria Home
Help & FAQ
English
Deutsch
Home
Research units
Profiles
Research output
Projects
Prizes
Activities
Press/Media
Student theses
Search by expertise, name or affiliation
Activity sequence modelling and dynamic clustering for personalized e-learning
Mirjam Augstein
, Alexandros Paramythis
Research Center Hagenberg
Research output
:
Contribution to journal
›
Article
77
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Activity sequence modelling and dynamic clustering for personalized e-learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Sequence Modeling
100%
Learning Dimensions
100%
Personalized E-learning
100%
Activity Sequence
100%
Problem-solving Style
100%
Dynamic Clustering
100%
Interaction Process
50%
Problem-solving Activities
50%
Adaptive Systems
50%
Adaptation
50%
Meaningful Information
50%
Learner Activity
50%
Systems Intervention
50%
Sequential Learners
50%
Personalization
50%
Problem-solving Patterns
50%
Learning Context
50%
Learner Behavior
50%
Adaptivity
50%
Automated Clustering
50%
Educational Environment
50%
Computer Science
Interaction Process
100%
Solving Activity
100%
Adaptive System
100%
Electronic Learning
100%
Chemical Engineering
Adaptive System
100%