Sucheta Kolekar

Sucheta Kolekar
Manipal Academy of Higher Education | MAHE · Department of Information and Communication Technology

PhD
Currently, I am working on Learning Analytics and Serious Game Development.

About

28
Publications
23,275
Reads
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237
Citations
Introduction
I am Sucheta Kolekar, currently working as an Assistant Professor in Dept. of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India. I completed PhD in Adaptive E-learning from Manipal Academy of Higher Education formerly called as Manipal University. My areas of interest/teaching/expertise are Cloud Computing, Software Engineering, Adaptive E-learning, Web Usage Mining, Web Services.
Additional affiliations
July 2011 - November 2021
Manipal Academy of Higher Education
Position
  • Professor (Associate)
Education
March 2012 - September 2018
Manipal Academy of Higher Education
Field of study
  • Adpative E-learning

Publications

Publications (28)
Article
Full-text available
With web-based education and Technology Enhanced Learning (TEL) assuming new importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms owing to their openness and flexible “on-the-go” nature. The previous decade has seen tremendous research in the field of Adaptive E-Learning Systems but work in the field of personaliz...
Article
There has been a recent trend of teaching agents to solve puzzles and play games using Deep Reinforcement Learning (DRL) which was brought by the success of AlphaGo. While this method has given some truly groundbreaking results and it is very computationally intensive. This paper evaluates the feasibility of solving Combinatorial Optimization Probl...
Article
With the advent of the era of big data and Web 3.0 on the horizon, different types of online deliverable resources in the pedagogical field have also become raft. Massive Open Online Courses (MOOCs) are the most important of such learning resources that provide many courses at different levels for the learners on the go. The data generated by these...
Article
Full-text available
E-Learning systems have gained a lot of traction amongst students and academicians due to their flexible nature in terms of location independence, time, effort, cost and other resources. The rapidly changing nature of the education domain makes the design, development, testing, and maintenance of E-Learning systems complex and expensive. In order t...
Article
Full-text available
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of the...
Conference Paper
Full-text available
In the Internet eraSaryar, Shivam, more and more learnersKolekar, Sucheta V. now have the option of using multimedia to engagePai, Radhika M. in a learning environmentManohara Pai, M. M., for example, videos, text, pictures. They also prefer more control over their learning sessions, i.e., being able to choose which topics, which mode of multimedia...
Article
The major requirement of present e-learning system is to provide a personalized interface with adaptiveness. This is possible to provide by analyzing the learning behaviors of the learners in the e-learning portal through Web Usage Mining (WUM). In this paper, a method is proposed where the learning behavior of the learner is captured using web log...
Article
In recent era of cloud computing, web service technology has become the most important and popular technology to generate and provide dynamic web services. The utility computing and on-demand services are the basic characteristics of cloud computing, where any legacy web application can be converted into dynamic web services as per the requirements...
Article
Adaptive e-learning systems enhance the efficiency of online education by providing personalised, adaptive contents and user interfaces which change with respect to learner’s requirements. In order to understand the learner’s requirements, learners with similar learning behaviour have to be grouped into clusters based on the usage data of each lear...
Article
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 Ada...
Article
Full-text available
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 Ada...
Conference Paper
Full-text available
E-learning has become the most popular way of delivering education and learning. Adaptive E-learning systems are the systems that adapt according to the requirements of the user. These systems should be capable of capturing the user preferences in terms of their learning styles and adapt the user interface accordingly. Web log analysis of the usage...
Chapter
Full-text available
To effectively understand the adaptation approaches in content delivery on E-learning, learner's learning styles need to be identified first. There are two main approaches that detect the learning styles: Questionnaire based and Literature based. The main challenge of Adaptive E-learning is to capture the learner's learning styles while using E-lea...
Conference Paper
o effectively understand the adaptation approaches in content delivery on E-learning, learner’s learning styles need to be identified first. There are two main approaches that detect the learning styles: Questionnaire based and Literature based. The main challenge of Adaptive E-learning is to capture the learner’s learning styles while using E-lear...
Conference Paper
Full-text available
Intrusion Detection System (IDS) that turns to be a vital component to secure the network. The lack of regular updation, less capability to detect unknown attacks, high non adaptable false alarm rate, more consumption of network resources etc., makes IDS to compromise. This paper aims to classify the NSL-KDD dataset with respect to their metric dat...
Book
Full-text available
The main objective of this paper is to determine whether there is significant improvement in the performance of engineering students when teaching material is provided on e-learning portal which matches the learning styles of individual student. The quantitative method of study was used, specifically the pretest-posttest method on control and exper...
Article
Full-text available
Web Usage Mining is a broad area of Web Mining which is associated with the Patterns extraction from logging information produced by web server. Web log mining is substantially the important part of Web Usage Mining (WUM) algorithm which involves transformation and interpretation of the logging information to predict the patterns as per different l...
Conference Paper
Full-text available
Traditionally e-learning systems are emphasized on the online content generation and most of them fail in considering the requirements and learning styles of end user, while representing it. Therefore, appears the need for adaptation to the user's learning behavior. Adaptive e-learning refers to an educational system that understands the learning c...

Questions

Questions (2)
Question
We are looking for an expert or resource person who can take a demo session or hands-on session on Virtuoso Openlink Software to create Ontology for Semantic Web Projects.
Question
Can FSLSM be used in recent research of LMS?

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Projects

Projects (5)
Project
Healthcare Device based on Temperature and Pressure Parameters
Project
Creation of Web Services using Service Oriented Architecture for Adaptive E-learning System Composition of Web Services based on Business Logic defined for E-learning System Implementation of complete Service based Adaptive E-learning System