scholarly journals User behaviour pattern for online learning system: UiTM iLearn portal case

2019 ◽  
Vol 15 (1) ◽  
pp. 382
Author(s):  
Siti Fairuz Nurr Sadikan ◽  
Azizul Azhar Ramli ◽  
Mohd Farhan Md. Fudzee ◽  
Siti Sapura Jailani ◽  
Mohd Ali Mohd Isa ◽  
...  
Keyword(s):  
Online Learning ◽  
Web Server ◽  
Learning System ◽  
Behaviour Pattern ◽  
Access Path ◽  
Navigational Patterns ◽  
Clustering And Classification ◽  
Log File ◽  
Access Patterns ◽  
User Navigation

<span>A Web server log files contain an entire record of the user’s browsing history such as referrer, date and time access, path, operating system (OS), browser and IP address. User navigation pattern discovery involves learning of user’s browsing behaviour to gain the pattern from web server log file. This paper emphasizes on identifying user navigation pattern from web server log file data of iLearn portal. The study implements the framework for user navigation including phases of acquisition of weblog, log query parser, preprocessor, navigational pattern modelling, clustering, and classification. This study is conducted in the context of the actual data logs of the iLearn portal of Universiti Teknologi MARA (UiTM). This study revealed the navigational patterns of online learners which relatively related to their intake or group along the semester of 14 weeks. Besides, access patterns for students along the semester are different and can be classified into three (3) quarter, namely Q1, Q2 and Q3 based on the total of week per semester. Future work will focus on the development of prototype to improve the security of online learning especially during the assessment progress such as online quiz, test and examination.</span>

scholarly journals Hybridisation of RF(Xgb) to improve the tree-based algorithms in learning style prediction

2019 ◽  
Vol 8 (4) ◽  
pp. 422
Author(s):  
Haziqah Shamsudin ◽  
Maziani Sabudin ◽  
Umi Kalsom Yusof
Keyword(s):  
Machine Learning ◽  
Online Learning ◽  
Learning Style ◽  
Hybrid Algorithm ◽  
Machine Learning Algorithms ◽  
Learning System ◽  
Gradient Boosting ◽  
Extreme Gradient Boosting ◽  
Log File ◽  
And Behavior

<span lang="EN-US">This paper presents hybridization of Random Forest (RF) and Extreme Gradient Boosting (Xgb), named RF(Xgb) to improve the tree-based algorithms in learning style prediction. Learning style of specific users in an online learning system is determined based on their interaction and behavior towards the system. The most common online learning theory used in determining the learning style is the Felder-Silverman’s Learning Style Model (FSLSM). Many researchers have proposed machine learning algorithms to establish learning style by using the log file attributes. This helps in determining the learning style automatically. However, current researches still perform poorly, where the range of accuracy is between 58%-89%. Hence, RF(Xgb) is proposed to help in improving the learning style prediction. This hybrid algorithm was further enhanced by optimizing its parameters. From the experiments, RF(Xgb) was proven to be more effective, with accuracy of 96% compared to J48 and LSID-ANN algorithm from previous literature.</span>

10. Designing an online curriculum supporting risk management and patient safety

2007 ◽  
Vol 30 (4) ◽  
pp. 33
Author(s):  
T. Gondocz ◽  
G. Wallace
Keyword(s):  
Risk Management ◽  
Medical Education ◽  
Patient Safety ◽  
Online Learning ◽  
Online Courses ◽  
Learning System ◽  
Online Curriculum ◽  
For Profit ◽  
Not For Profit ◽  
Managing Risk

The Canadian Medical Protective Association (CMPA) is a not for profit mutual defence organization with a mandate to provide medico-legal assistance to physician members and to educate health professionals on managing risk and enhancing patient safety. To expand the outreach to its 72,000 member physicians, the CMPA built an online learning curriculum of risk management and patient safety materials in 2006. These activities are mapped to the real needs of members ensuring the activities are relevant. Eight major categories were developed containing both online courses and articles. Each course and article is mapped to the RCPSC's CanMEDS roles and the CFPC's Four Principles. This poster shares the CMPA’s experience in designing an online patient safety curriculum within the context of medico-legal risk management and provides an inventory of materials linked to the CanMEDS roles. Our formula for creation of an online curriculum included basing the educational content on real needs of member physicians; using case studies to teach concepts; and, monitoring and evaluating process and outcomes. The objectives are to explain the benefits of curricular approach for course planning across the continuum in medical education; outline the utility of the CanMEDS roles in organizing the risk management and patient safety medical education curriculum; describe the progress of CMPA's online learning system; and, outline the potential for moving the curriculum of online learning materials and resources into medical schools.

scholarly journals Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Matthieu J. S. Brinkhuis ◽  
Alexander O. Savi ◽  
Abe D. Hofman ◽  
Frederik Coomans ◽  
Han L. J. Van der Maas ◽  
...  
Keyword(s):  
Online Learning ◽  
Large Scale ◽  
Response Times ◽  
Learning System ◽  
Learning Gains ◽  
Online Experimentation ◽  
Quality Of Fit ◽  
Item Reliability ◽  
Made In

With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion responses. We present the methods we use to both steer and analyze this system in real-time, using scoring rules on accuracy and response times, a tailored rating system to provide both learners and items with current ability and difficulty ratings, and an adaptive engine that matches learners to items. Moreover, we explore the quality of fit by means of prediction accuracy and parallel item reliability. Limitations and pitfalls are discussed by diagnosing sources of misfit, like violations of unidimensionality and unforeseen dynamics. Finally, directions for development are discussed, including embedded learning analytics and a focus on online experimentation to evaluate both the system itself and the users’ learning gains. Though many challenges remain open, we believe that large steps have been made in providing methods to efficiently manage and research educational big data from a massive online learning system.

scholarly journals User Identification in the Process of Web Usage Data Preprocessing

2019 ◽  
Vol 14 (09) ◽  
pp. 21 ◽  
Author(s):  
Jozef Kapusta ◽  
Michal Munk ◽  
Dominik Halvoník ◽  
Martin Drlík
Keyword(s):  
User Behavior ◽  
Web Server ◽  
Web Browser ◽  
Ip Address ◽  
User Session ◽  
Log Files ◽  
The Us ◽  
Log File ◽  
Default Form

If we are talking about user behavior analytics, we have to understand what the main source of valuable information is. One of these sources is definitely a web server. There are multiple places where we can extract the necessary data. The most common ways are to search for these data in access log, error log, custom log files of web server, proxy server log file, web browser log, browser cookies etc. A web server log is in its default form known as a Common Log File (W3C, 1995) and keeps information about IP address; date and time of visit; ac-cessed and referenced resource. There are standardized methodologies which contain several steps leading to extract new knowledge from provided data. Usu-ally, the first step is in each one of them to identify users, users’ sessions, page views, and clickstreams. This process is called pre-processing. Main goal of this stage is to receive unprocessed web server log file as input and after processing outputs meaningful representations which can be used in next phase. In this pa-per, we describe in detail user session identification which can be considered as most important part of data pre-processing. Our paper aims to compare the us-er/session identification using the STT with the identification of user/session us-ing cookies. This comparison was performed concerning the quality of the se-quential rules generated, i.e., a comparison was made regarding generation useful, trivial and inexplicable rules.

Facial Emotion Detection to Assess Learner's State of Mind in an Online Learning System

2020 ◽  
Author(s):  
Moutan Mukhopadhyay ◽  
Saurabh Pal ◽  
Anand Nayyar ◽  
Pijush Kanti Dutta Pramanik ◽  
Niloy Dasgupta ◽  
...  
Keyword(s):  
Online Learning ◽  
Learning System ◽  
Facial Emotion ◽  
Emotion Detection ◽  
State Of Mind

Establishing Millennial Character Behaviors in Online Studies at The Covid-19 Pandemic in Indonesia

2021 ◽  
Author(s):  
Mochamad Zaenal Fanani
Keyword(s):  
Online Learning ◽  
Literature Review ◽  
Character Education ◽  
Millennial Generation ◽  
Learning System ◽  
Specific Information ◽  
Theoretical Frameworks ◽  
Learning Methods ◽  
Optimal Learning ◽  
Research Activities

This covid pandemic has changed everything 180 degrees, especially in the world of education. Students who are accustomed to face-to-face learning are required to move in the process of learning methods. The learning method implemented during this pandemic uses online learning. This measure was taken to maintain the quality of education and to prevent the spread of Covid-19. With online meetings, there will be many changes in learning methods to align the essence of learning appropriately and effectively because when compared to previous learning methods, it is very different. This article will highlight various online learning methods to always build the behavior characteristics of the millennial generation for the better. The question that arises from this topic is what is the right method of managing character education in a pandemic situation like this? The research aims to identify what problems occur in online learning and provide effective methods for the learning process in Indonesia. The writing of this article uses the literature review method, a description of the theory, findings, and other research materials obtained from reference materials to be used as the basis for research activities to develop a clear frame of mind from the formulation of the problem to be studied. The data are from the latest research, namely from 2019 to 2021 published through Google Scholar, totaling 12 articles, and data were analyzed qualitatively using available theoretical frameworks. The results of this study show the behavioral process of the millennial generation in building character amid online learning, and to create optimal learning, distance-learning or online strategies are carried out using methods to maximize the optimal learning system. From the research, literature review methods proved to be effective to study this topic while Covid-19 is happening to keep safety measures, but it does not give many details and specific information well. This method is recommended for researchers who work from home without having to go to the field to find information and avoid exposure to COVID-19.

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