Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning.

Journal Title: EAI Endorsed Transactions on e-Learning - Year 2016, Vol 3, Issue 10

Abstract

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 which helps to identify the learning styles and provide Adaptive User Interface which includes adaptive learning components and learning material. The proposed method analyzes the captured web usage data to identify the learning profile of the learners. The learning profiles are identified by an algorithmic approach that is based on the frequency of accessing the materials and the time spent on the various learning components on the portal. The captured log data is pre-processed and converted into standard XML format to generate learners sequence data corresponding to the different sessions and time spent. The learning style model adopted in this approach is Felder-Silverman Learning Style Model (FSLSM). This paper also presents the analysis of learner’s activities, preprocessed XML files and generated sequences.

Authors and Affiliations

Radhika M. Pai, Sucheta V. Kolekar, Manohara Pai M. M.

Keywords

Related Articles

A Qualitative Exploration of the DIGCOMP Digital Competence Framework: Attitudes of students, academics and administrative staff in the health faculty of a UK HEI

This paper reports upon findings of a series of semi-structured interviews with students, academics and administrative staff from a health care faculty in a UK Higher Education Institution (HEI). Exploring their experien...

Key Frame Extraction for Text Based Video Retrieval Using Maximally Stable Extremal Regions

This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-fr...

EyePhy: Detecting Dependencies in Cyber-Physical System Apps due to Human-in-the-Loop

As app based paradigms are becoming popular, millions of apps are developed from many domains including energy, health, security, and entertainment. The US FDA expects that there will be 500 million smart phone users dow...

Using Augmented Reality to engage STEM students with an authentic curriculum

This paper reports on the introduction of a set of 'Augmented Reality' (AR) tasks, offering an innovative, real world and problem based set of activities for a group of first year University Gaming and Computer Science s...

Media Usage in Post-Secondary Education and Implications for Teaching and Learning

The Web 2.0 has permeated academic life. The use of online information services in post-secondary education has led to dramatic changes in faculty teaching methods as well as in the learning and study behavior of student...

Download PDF file
  • EP ID EP45967
  • DOI http://dx.doi.org/10.4108/eai.11-4-2016.151151
  • Views 297
  • Downloads 0

How To Cite

Radhika M. Pai, Sucheta V. Kolekar, Manohara Pai M. M. (2016). Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning.. EAI Endorsed Transactions on e-Learning, 3(10), -. https://europub.co.uk/articles/-A-45967