Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning
Adaptive E-learning Systems (AESs) enhance the efficiency of online courses in education by providing personalized contents and user interfaces that changes according to learner's requirements and usage patterns. This paper presents the approach to generate learning profile of each learner whic...
Saved in:
Main Authors: | Radhika M. Pai (Author), Sucheta V. Kolekar (Author), Manohara Pai M.M (Author) |
---|---|
Format: | Book |
Published: |
European Alliance for Innovation (EAI),
2016-03-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning
by: Radhika M. Pai, et al.
Published: (2016) -
A preliminary study of real-time capturing and sharing of routine health data among the public health professionals
by: Raghavendra Ganiga, et al.
Published: (2020) -
Promoting Metacognitive and Linguistic Skills: Digital Learning Logs in Pre-Service Teacher Training
by: Ana Otto, et al.
Published: (2021) -
Competency-based residency training and the web log: modeling practice-based learning and enhancing medical knowledge
by: Matthew F. Hollon
Published: (2015) -
From Diversity to adaptive Personalization: The Next Generation Learning Management System as Adaptive Learning Environment
by: Niels Seidel, et al.
Published: (2021)