Abstract: This paper presents an evaluation of open source e-learning platforms with the aim of finding the most suitable platform for extending to an adaptive one. The extended platform will be utilized in an operational teaching environment. Therefore, the overall functionality of the platform is as important as the adaptation capabilities, and the evaluation treats both issues in this paper .in this paper we will explain the proper and best learning platform for Users . In this we will compare one of the best learning platforms (Moodle and Blackbox) both are all of them best virtual learning platform. We will compare both virtual system its functionality and using best tool. This paper is focused on the Moodle Architecture and comparative study of Moodle, thus we discusses comparisons it between different virtual learning platform at last conclusion we will describe which learning platform is best for users.Keywords: E-learning, Blackboard, Moodle, tools, function, methodology.
Title: A SURVEY AND COMPARETIVE ANALYSIS OF E-LEARNING PLATFORM (MOODLE AND BLACKBOARD)
Author: Kanak Sachan, Dr. Rajiv Singh
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Load balancing clustering on moodle LMS to overcome performance issue of e-le...TELKOMNIKA JOURNAL
In dealing with the rapid growth of digitalization, the e-learning system has become a mandatory component of any Higher Education (HE) to serve academic processes requests. Along with the increasing number of users, the need for service availability and capabilities of eLearning are increasing day by day. The organization should always look for strategies to keep the eLearning always able to meet these demands. This report presents the implementation of Load Balancing Clustering (LBC) mechanism applied to Moodle LMS in an HE Institution to deal with the poor performance issues. By utilizing existing tools such as HAProxy and keepalived, the implemented LBC configuration delivers a qualified e-learning system performance. Both qualitative and quantitative parameters convince better performance than before. In four months of the operation there is no user complaint received. Meanwhile, in the current semester has been running for two months, the up-time is 99.8 % of 52.685 minutes operational time.
Load balancing clustering on moodle LMS to overcome performance issue of e-le...TELKOMNIKA JOURNAL
In dealing with the rapid growth of digitalization, the e-learning system has become a mandatory component of any Higher Education (HE) to serve academic processes requests. Along with the increasing number of users, the need for service availability and capabilities of eLearning are increasing day by day. The organization should always look for strategies to keep the eLearning always able to meet these demands. This report presents the implementation of Load Balancing Clustering (LBC) mechanism applied to Moodle LMS in an HE Institution to deal with the poor performance issues. By utilizing existing tools such as HAProxy and keepalived, the implemented LBC configuration delivers a qualified e-learning system performance. Both qualitative and quantitative parameters convince better performance than before. In four months of the operation there is no user complaint received. Meanwhile, in the current semester has been running for two months, the up-time is 99.8 % of 52.685 minutes operational time.
The e-learning contained many educational resources are generally used in learning systems like Moodle, It’s free open source software packages designed and flexible platform to create Learning Objects (LOs) and users’ accounts. The author demonstrates how to use semantic web technologies to improve online learning environments and bridge the gap between learners and LOs. The ontological construction presented here helps formalize LOs context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse between learner and LOs. On top of this construction, the author implemented several feedback channels for educators to improve the delivery of future Web-based learning. The particular aim of this paper was to provide a solution based in the Moodle Platform. The main idea behind the approach presented here is that ontology which can not only be useful as a learning instrument but it can also be employed to assess students’ skills. For it, each student is prompted to express his/her beliefs by building own discipline-related ontology through an application displayed in the interface of Moodle. This paper presents the ontology for an e-Learning System, which arranges metadata, and defines the relationships of metadata, which are about learning objects; belong to academic courses and user profiles. This ontology has been incorporated as a critical part of the proposed architecture. By this ontology, effective retrieval of learning content, customizing Learning Management System (LMS) is expected. Metadata used in this paper are based on current metadata standards. This ontology specified in human and machine-readable formats. In implementing it, several APIs were defined to manage the ontology. They were introduced into a typical LMS such as Moodle. Proposed ontology maps user preferences with learning content to satisfy learner requirements. These learning objects are presented to the learner based on ontological relationships. Hence it increases the usability and customizes the LMS. In conclusion, ontologies have a range of potential benefits and applications in further and higher education, including the sharing of information across e-learning systems, providing frameworks for learning object reuse, and enabling information between learner and system parts.
An Overview of Criteria for Selecting an LMS.docx.David Brooks
Paper presented at Second Canadian International Conference on Advances in Education,Teaching & Technology 2017, 29-31 July, 2017, Toronto, Canada
This letter is to inform you that the scientific committee has selected your abstract for oral presentation in the Second Canadian International Conference on Advances in Education,Teaching & Technology 2017 (EduTeach2017) which will be held on 29-31 July 2017, at the International Living & Learning Center, Ryerson University, Toronto, Canada.
Neural Network Model for Predicting Students' Achievement in Blended Courses ...ijaia
Educator’s knowledge about the likely students’ achievement in blended courses prior to sitting for
examinations provides room for early intervention on students’ learning process, especially to those at risk.
Unfortunately, Leaning Management Systems (LMSs), Moodle in particular lacks an environment to assist
educators access such knowledge from time to time before undertaking their examinations. This raised the
need to propose a model, of which from time to time would be providing the likely students’ achievement
based on activities in Moodle and previous achievement, taking a case of postgraduate programmes at the
University of Dar es Salaam.
This study applied artificial neural networks in building a prediction model. Simulations were conducted in
Matrix Laboratory (MATLAB) utilizing seventy eight instances (78) of students’ logs of three blended
courses extracted from Moodle for 2013/2014 and 2014/2015 academic years.
Mean Square Error (MSE) and Coefficient of Determination (R
2
) performance metrics were used to find
the best prediction model considering ten possible models. The study revealed a model with architecture of
4:10:1 trained with Bayesian Regularization (BR) to be the best model resulting to least MSE of 0.0170 and
high R
2
of 0.93 on training. During testing, the model successfully predicted 78% of the students’
achievement with risk and pass status.
Usability of BLESS-implemented class room: a case study of mixtioTELKOMNIKA JOURNAL
Conventional learning system and e-learning have their own strengths and weaknesses. To combine both systems, blended learning is created. In Extention Program of Informatics Engineering Faculty at XYZ university most of the students already have jobs. As much 47.5 % of students who take this program have a job in daily office hours. Then, to facilitate the learning process the XYZ university develop learning management system (LMS) by Moodle. XYZ university want to make a learning process with blended learning concept. However, the Moodle sytem has limited function to adapt the blended learning system (BLS). In the aim to improve the class usability in BLS, then this study proposes to apply to Blended Learning System Structure (BLESS) into LMS design. BLESS is offered as a framework which matches to learning and uses a top-down approach. Then, the system design maed it “Mixtio”. At the end of this study, it can be seen the analysis result of the use of BLESS can improve system usability of LMS.
One of the changes that the "Information Age" has b rought to classrooms is that a Web-Based Classroom Management Support System (WBC) is now re quired for more efficient classroom management in elementary schools. This research aim s at finding desirable Internet uses for more efficient classroom management through designi ng and implementing a web-based classroom support system. It has been possible to s upport classroom management beyond the limits of time and space with content found on the web and through guiding learners' internet usage in educational directions utilizing the resou rces on the web in more academic ways, and when applied in classrooms to help direct learners' active participation developing each learners' own special abilities and aptitudes. A WB C system is expected to offer upgraded classroom management
Abstract: This paper displays the main 6 information mining calculations distinguished by the IEEE Global Conference on Data Mining (ICDM: C4.5, k-Means, SVM, Apriori, EM, Page Rank. These main 6 calculations are among the most persuasive information mining calculations in the examination community. With each calculation, we give a depiction of the calculation, examine the effect of the calculation, and review current and further research on the calculation. These 6 calculations spread grouping, bunching, measurable learning, affiliation examination, and connection mining, which are all among the most vital subjects in information mining innovative work.Keywords: Data mining, K-Means, Apriori.
Title: An Algorithm Analysis on Data Mining
Author: Nida Rashid
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Abstract: Object Classification is an important task within the field of computer vision. Image classification refers to the labelling of images into one of a number of predefined categories. Classification includes image sensors, image pre-processing, object detection, object segmentation, feature extraction and object classification. Many classification techniques have been developed for image classification. In this survey various classification techniques are considered; Artificial Neural Network (ANN), Decision Tree (DT), Support Vector Machine (SVM) and Fuzzy Classification.Keywords: Image Classification, Artificial Neural Network, Decision Tree, Support Vector Machine, Fuzzy Classifier.
Title: Analysis of Classification Approaches
Author: Robin Kumar
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
An Advanced IR System of Relational Keyword Search Techniquepaperpublications3
Abstract: Now these days keyword search to relational data set becomes an area of research within the data base and Information Retrieval. There is no standard process of information retrieval, which will clearly show the accurate result also it shows keyword search with ranking. Execution time is retrieving of data is more in existing system. We propose a system for increasing performance of relational keyword search systems. In the proposed system we combine schema-based and graph-based approaches and propose a Relational Keyword Search System to overcome the mentioned disadvantages of existing systems and manage the information and user access the information very efficiently. Keyword Search with the ranking requires very low execution time. Execution time of retrieving information and file length during Information retrieval can be display using chart.Keywords: Keyword Search, Datasets, Information Retrieval Query Workloads, Schema-based Systems, Graph-based Systems, ranking, relational databases.
Title: An Advanced IR System of Relational Keyword Search Technique
Author: Dhananjay A. Gholap, Gumaste S. V
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
The e-learning contained many educational resources are generally used in learning systems like Moodle, It’s free open source software packages designed and flexible platform to create Learning Objects (LOs) and users’ accounts. The author demonstrates how to use semantic web technologies to improve online learning environments and bridge the gap between learners and LOs. The ontological construction presented here helps formalize LOs context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse between learner and LOs. On top of this construction, the author implemented several feedback channels for educators to improve the delivery of future Web-based learning. The particular aim of this paper was to provide a solution based in the Moodle Platform. The main idea behind the approach presented here is that ontology which can not only be useful as a learning instrument but it can also be employed to assess students’ skills. For it, each student is prompted to express his/her beliefs by building own discipline-related ontology through an application displayed in the interface of Moodle. This paper presents the ontology for an e-Learning System, which arranges metadata, and defines the relationships of metadata, which are about learning objects; belong to academic courses and user profiles. This ontology has been incorporated as a critical part of the proposed architecture. By this ontology, effective retrieval of learning content, customizing Learning Management System (LMS) is expected. Metadata used in this paper are based on current metadata standards. This ontology specified in human and machine-readable formats. In implementing it, several APIs were defined to manage the ontology. They were introduced into a typical LMS such as Moodle. Proposed ontology maps user preferences with learning content to satisfy learner requirements. These learning objects are presented to the learner based on ontological relationships. Hence it increases the usability and customizes the LMS. In conclusion, ontologies have a range of potential benefits and applications in further and higher education, including the sharing of information across e-learning systems, providing frameworks for learning object reuse, and enabling information between learner and system parts.
An Overview of Criteria for Selecting an LMS.docx.David Brooks
Paper presented at Second Canadian International Conference on Advances in Education,Teaching & Technology 2017, 29-31 July, 2017, Toronto, Canada
This letter is to inform you that the scientific committee has selected your abstract for oral presentation in the Second Canadian International Conference on Advances in Education,Teaching & Technology 2017 (EduTeach2017) which will be held on 29-31 July 2017, at the International Living & Learning Center, Ryerson University, Toronto, Canada.
Neural Network Model for Predicting Students' Achievement in Blended Courses ...ijaia
Educator’s knowledge about the likely students’ achievement in blended courses prior to sitting for
examinations provides room for early intervention on students’ learning process, especially to those at risk.
Unfortunately, Leaning Management Systems (LMSs), Moodle in particular lacks an environment to assist
educators access such knowledge from time to time before undertaking their examinations. This raised the
need to propose a model, of which from time to time would be providing the likely students’ achievement
based on activities in Moodle and previous achievement, taking a case of postgraduate programmes at the
University of Dar es Salaam.
This study applied artificial neural networks in building a prediction model. Simulations were conducted in
Matrix Laboratory (MATLAB) utilizing seventy eight instances (78) of students’ logs of three blended
courses extracted from Moodle for 2013/2014 and 2014/2015 academic years.
Mean Square Error (MSE) and Coefficient of Determination (R
2
) performance metrics were used to find
the best prediction model considering ten possible models. The study revealed a model with architecture of
4:10:1 trained with Bayesian Regularization (BR) to be the best model resulting to least MSE of 0.0170 and
high R
2
of 0.93 on training. During testing, the model successfully predicted 78% of the students’
achievement with risk and pass status.
Usability of BLESS-implemented class room: a case study of mixtioTELKOMNIKA JOURNAL
Conventional learning system and e-learning have their own strengths and weaknesses. To combine both systems, blended learning is created. In Extention Program of Informatics Engineering Faculty at XYZ university most of the students already have jobs. As much 47.5 % of students who take this program have a job in daily office hours. Then, to facilitate the learning process the XYZ university develop learning management system (LMS) by Moodle. XYZ university want to make a learning process with blended learning concept. However, the Moodle sytem has limited function to adapt the blended learning system (BLS). In the aim to improve the class usability in BLS, then this study proposes to apply to Blended Learning System Structure (BLESS) into LMS design. BLESS is offered as a framework which matches to learning and uses a top-down approach. Then, the system design maed it “Mixtio”. At the end of this study, it can be seen the analysis result of the use of BLESS can improve system usability of LMS.
One of the changes that the "Information Age" has b rought to classrooms is that a Web-Based Classroom Management Support System (WBC) is now re quired for more efficient classroom management in elementary schools. This research aim s at finding desirable Internet uses for more efficient classroom management through designi ng and implementing a web-based classroom support system. It has been possible to s upport classroom management beyond the limits of time and space with content found on the web and through guiding learners' internet usage in educational directions utilizing the resou rces on the web in more academic ways, and when applied in classrooms to help direct learners' active participation developing each learners' own special abilities and aptitudes. A WB C system is expected to offer upgraded classroom management
Abstract: This paper displays the main 6 information mining calculations distinguished by the IEEE Global Conference on Data Mining (ICDM: C4.5, k-Means, SVM, Apriori, EM, Page Rank. These main 6 calculations are among the most persuasive information mining calculations in the examination community. With each calculation, we give a depiction of the calculation, examine the effect of the calculation, and review current and further research on the calculation. These 6 calculations spread grouping, bunching, measurable learning, affiliation examination, and connection mining, which are all among the most vital subjects in information mining innovative work.Keywords: Data mining, K-Means, Apriori.
Title: An Algorithm Analysis on Data Mining
Author: Nida Rashid
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Abstract: Object Classification is an important task within the field of computer vision. Image classification refers to the labelling of images into one of a number of predefined categories. Classification includes image sensors, image pre-processing, object detection, object segmentation, feature extraction and object classification. Many classification techniques have been developed for image classification. In this survey various classification techniques are considered; Artificial Neural Network (ANN), Decision Tree (DT), Support Vector Machine (SVM) and Fuzzy Classification.Keywords: Image Classification, Artificial Neural Network, Decision Tree, Support Vector Machine, Fuzzy Classifier.
Title: Analysis of Classification Approaches
Author: Robin Kumar
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
An Advanced IR System of Relational Keyword Search Techniquepaperpublications3
Abstract: Now these days keyword search to relational data set becomes an area of research within the data base and Information Retrieval. There is no standard process of information retrieval, which will clearly show the accurate result also it shows keyword search with ranking. Execution time is retrieving of data is more in existing system. We propose a system for increasing performance of relational keyword search systems. In the proposed system we combine schema-based and graph-based approaches and propose a Relational Keyword Search System to overcome the mentioned disadvantages of existing systems and manage the information and user access the information very efficiently. Keyword Search with the ranking requires very low execution time. Execution time of retrieving information and file length during Information retrieval can be display using chart.Keywords: Keyword Search, Datasets, Information Retrieval Query Workloads, Schema-based Systems, Graph-based Systems, ranking, relational databases.
Title: An Advanced IR System of Relational Keyword Search Technique
Author: Dhananjay A. Gholap, Gumaste S. V
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Delay Constrained Energy Efficient Data Transmission over WSNpaperpublications3
Abstract: In wireless sensor network generally concentrate on minimization of energy Consumption, Also reducing energy saving and end to end delay. Reduced the end to end delay is one of the main challenges in the Wireless Sensor Networks. In TDMA providing reliable packet transmission and two transmission scheduling schemes are used to maximize the end-end reliability within a delay bound in packet transmission called dedicated scheduling and shared scheduling. In addition, they formulate solutions for implementing two algorithms into two basic routing algorithms, single-path routing and any-path routing algorithm. The proposed system presented energy efficient sleep scheduling algorithm for reducing the energy for delay constrained in WLAN. This algorithm to maximize the energy saving for packet delay constraints and it determines sleep period and wake up time to be minimized, the aim of this project is proposed to maximize the length of sleep time under packet deadline constraints using green call algorithm. Keywords: Delay-constrained applications, energy efficiency, Sleep scheduling, wireless sensor network.
Title: Delay Constrained Energy Efficient Data Transmission over WSN
Author: H. Hasina Begaum
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Comparative Performance Analysis & Complexity of Different Sorting Algorithmpaperpublications3
Abstract: An Algorithm is mix of guidelines without further order in offered request to take care of the predetermined issue. Sorting considered as the crucial operation for masterminding the rundown of components in a specific request either in rising or diving request in view of their key quality. Sorting system like: Insertion, Bubble, and Selection all have the quadratic time multifaceted ideal models O (N2) that breaking point their utilization as per the amount of parts. The objective of this paper audited different type of sorting algorithm like Insertion Sort, Selection, Bubble, Merge sort their execution investigation as for their time complexity nature.Keywords: Sorting Algorithm, Bubble, Selection, Insertion, Merge Sort, Complexity.
Title: Comparative Performance Analysis & Complexity of Different Sorting Algorithm
Author: Shiv Shankar Maurya, Arti Rana, Ajay Vikram Singh
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Entropy based Digital Watermarking using 2-D Biorthogonal WAVELETpaperpublications3
Abstract: The Security is the most important aspect of Database, for maintain the integrity and as well as security of the system image watermarking is technique proposed at the year of 1996, in this paper we also implement image watermarking using 2-D biorthogonal Wavelt. The importance of transmitting digital information in digital watermarking system and the dissymmetric digital watermarking framework lived on media content communication is also being discussed in this paper. Then we apply watermarking embedding algorithm to keep the balance between watermarks’ imperceptibility and its robustness while the data is being sent on the communication channel.Keywords: Discrete Wavelet Transform (DWT), Gray Scale, Peak Signal to Noise Ratio (PSNR).
Title: Entropy based Digital Watermarking using 2-D Biorthogonal WAVELET
Author: Abhinav Kumar
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Abstract: Efficient task scheduling method can meet users' requirements, and improve the resource utilization, then increase the overall performance of the cloud computing environment. Cloud computing has new features, such as flexibility, Virtualization and etc., in this paper we propose a two levels task scheduling method based on load balancing in cloud computing. This task scheduling method meet user's requirements and get high resource utilization that simulation results in Cloud Sim simulator prove this.Keywords: cloud computing; task scheduling; virtualization.
Title: A Task Scheduling Algorithm in Cloud Computing
Author: Ali Bagherinia
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Abstract: The rapid growth of wireless content access implies the need for content placement and scheduling at wireless base stations. Here study a system under which users are divided into clusters based on their channel conditions, and their requests are represented by different queues at logical front ends. Requests might be elastic (implying no hard delay constraint) or inelastic (requiring that a delay target be met). Correspondingly, we have request queues that indicate the number of elastic requests, and deficit queues that indicate the deficit in inelastic service. In this project, content caching and scheduling are monitored. The user will send request to the server when the base station doesn’t have that file. The user who receives the file will become the base station for that file. To reduce memory consumption, when other user request the same file the base station send s that file delete it. The receiving user will become the base station for that file.Keywords: rapid growth of wireless content access implies placement and scheduling at wireless base stations.
Title: Scheduling Mechanism in Wireless Networks
Author: Deepa .C. G
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Abstract: CHOKe is a simple and stateless active queue management (AQM) scheme. Highly attractive property of Choke is that it can protect responsive TCP flows from unresponsive UDP flows. Packets currently queued in buffer, to penalize the high bandwidth flows. It can be implemented by using RED algorithm. In RED algorithm when packets arrives at a congested router. CHOKe draws a packet at a random from the FIFO buffer and compares it with the arriving packet. If both belong to same flow, then they are both dropped; else randomly chosen packet is left intact and arriving packet is admitted into the buffer with a probability that depend on the level of congestion. These algorithms are typically implemented in the transport protocols (e.g., TCP) of end-hosts. To ensure global fairness, such schemes require all users to adopt them and respond to network congestion properly.Keywords: CHOKe, Random Early Detection (RED), Congestion.
Title: Ephemeral Performance of Choke
Author: Suhitha K.C
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Secure Data Sharing For Dynamic Groups in Multi-Attorney Manner Using Cloudpaperpublications3
Abstract: Cloud computing provides an economical and efficient solution for sharing data among the cloud users in the group , users sharing data in a multi-attorney manner preserving data and identity privacy from an untrusted cloud, it is still a challenging issue, due to frequent change of the membership in the group. In this paper, we propose a multi-attorney data sharing scheme for the dynamic groups in the cloud. By combing group signature and Tripple DES encryption techniques, any cloud user anonymously share the data with others. In addition, we analyze the security of our scheme with rigorous proofs, and demonstrate the efficiency of our scheme in experiments.Keywords: cloud computing, data sharing, privacy-preserving, access control, and dynamic groups.
Title: Secure Data Sharing For Dynamic Groups in Multi-Attorney Manner Using Cloud
Author: Vijaya Kumar Patil C, Manjunath H
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN 2350-1022
Paper Publications
The Effect of Customers Perception on Security and Privacy of Internet Bankin...paperpublications3
Abstract: Internet banking allows banks to provide information and offer services to their customers conveniently using the internet technology. However, studies have shown that customers have perceptions that impact on the uptake and continuous usage of the platform. The purpose of this study is to understand the effect of customer perceptions on usage of internet banking in commercial banks in Kenya. This study used descriptive research design while a stratified random sampling technique was used to select subjects to represent the target population which was made up of 1,837,312 customers of commercial banks within Nairobi County. An estimated 384 respondents were targeted to participate in the study. 272 questionnaires representing a 71% response rate were received and analysed. Based on the findings of the research it was concluded that customers have perception that have an effect on usage of internet banking. Customers both users and potential, are still apprehensive about the security of internet banking transactions and privacy of their sessions while online. Due to increased phishing, on online scams and frauds perpetrated online customers are reluctant to adopt or continue using internet banking. It is the responsibility of commercial banks to sensitize their customers and assure them that it is safe to access internet banking from both a private and public network. They should provide customers with guidelines on how to safe guard their information and secure their log on credential while using both private and public networkKeywords:Internet banking, commercial bank, Technology Acceptance Model, customer perceptions.
Title:The Effect of Customers Perception on Security and Privacy of Internet Banking On Its Usage in Commercial Banks in Kenya
Author:Dr. Stephen Titus Waithaka, Kilembwa Muthengi Joseph Nzeveka
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Market strategies are the result of a meticulous market analysis. A market analysis forces the entrepreneur to become familiar with all aspects of the market so that the target market can be defined and the company can be positioned in order to garner its share of sales
Solving The Problem of Adaptive E-Learning By Using Social NetworksEswar Publications
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness
revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students. In this research work, different data mining classification models are applied to analyse and predict students’ feedback based on their Moodle usage data. The models described in this paper surely assist the educators, decision maker, mentors to early engage with the issues as address by students. In this research, real data from a semester has been experimented and evaluated. To achieve the better classification models, discretization and weight adjustment techniques have also been applied as part of the pre – processing steps. Finally, we conclude that for efficient decision making with the student’s feedback the classifier model must be appropriate in terms of accuracy and other important evaluation measures. Our experiments also shows that by using weight adjustment techniques like information gain and support vector machines improves the performance of classification models.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the
benefits of the students.
E Learning and Learning Management Systems Advantages, Disadvantages and Sugg...ijtsrd
With the developing technology, different e learning concept has entered our lives. This new education model, which is very different from traditional education administration, has been adopted by the education community and learners. Thanks to this model that provides internet based training, it is possible to receive or give training without the concept of time and space. However, when the issue is a critical area such as education, this new method needs to be discussed and analyzed. First, the concept of e learning and learning management systems in the infrastructure of this new education model should be understood in detail. Determining the software modules that LMSs consisting of internet based software is a guide in this study. In addition, the advantages and disadvantages of this new education model were evaluated and presented item by item. At the end of the study, suggestions were given to the individuals or institutions who were educated with e learning model or developed LMS software. Gülleman Erdal | Erdal Erdal "E-Learning and Learning Management Systems: Advantages, Disadvantages and Suggestions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd36911.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/36911/elearning-and-learning-management-systems-advantages-disadvantages-and-suggestions/gülleman-erdal
Online Teaching Learning (OTL) systems are the future of the education system due to the rapid development in the field of Information Technology. Many existing OTL systems provide distance education services in the present context as well. In this paper, several types of existing OTL systems are explored in order to identify their key features, needs, working, defects and sectors for future development. For this, different aspects, types, processes, impacts, and teaching–learning strategies of various OTL systems were studied. In addition, the paper concludes with some future insights and personal interest in the further development of OTLs on the basis of previous research performed.
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
An Efficient Methodology To Develop A Secured E-Learning System Using Cloud C...IJMERJOURNAL
ABSTRACT: Now-a-days, each and every action involved in our life becomes computerized in order to reduce the time, complexity and manual power. The education systems are also being computerized, to train the students in a much efficient way. This system is termed as E-Learning. E-Learning is an Internet-based learning process, in which the Internet technology is used to design, implement, manage and extend learning, which will improve the efficiency of learning. Learning, Teaching and Training are intensely connected components, which are all included in the development of E-Learning system. Cloud Computing provides an efficient platform to support the E-Learning systems, as it can be dramatically changes over time .In this paper, an overview on the new emerging E-Learning system , utilization of the SAAS (Software as a Service) and the methodology to test the efficiency of the person in a secured way are described.
COMPARING THE CHALLENGES OF IMPLEMENTING WEB-BASED AND TRADITIONAL TEACHING S...adeij1
Web-based teaching systems have several advantages and have the potential to benefit education greatly. It
is significant to carefully consider learners' and instructors' specific needs and circumstances when
deciding whether to use these systems. Using web-based and traditional teaching methods may be
appropriate to provide a well-rounded educational experience. It may be appropriate to use a combination
of web-based and traditional teaching methods to provide a well-rounded educational experience. Webbased teaching systems have the potential to greatly benefit education in developing countries by
increasing access to quality education and reducing the cost of delivering education. However, there are
also several challenges to implementing these systems in developing countries, such as limited
infrastructure and resources, limited access to technology, and low digital literacy. The purpose of this
review article is to analyse and contrast the efficacy of web-based teaching systems with traditional
teaching systems, assess their respective advantages and disadvantages, identify the factors that influence
their effectiveness, and conclude that web-based teaching systems offer certain benefits over traditional
teaching systems, including greater flexibility, convenience, and the capacity to deliver multimedia content.
However, traditional teaching systems also have advantages, such as the ability to provide face-to-face
interaction and immediate feedback. This review paper examines the factors that impact the efficacy of
both systems, such as the system's design, the quality of the educational materials, and the proficiency of
the instructor. Both systems have their strengths and weaknesses, and the best approach depends on the
specific needs and circumstances of the learner and the instructor
Comparing the Challenges of Implementing Web-Based and Traditional Teaching S...adeij1
Web-based teaching systems have several advantages and have the potential to benefit education greatly. It is significant to carefully consider learners' and instructors' specific needs and circumstances when deciding whether to use these systems. Using web-based and traditional teaching methods may be appropriate to provide a well-rounded educational experience. It may be appropriate to use a combination of web-based and traditional teaching methods to provide a well-rounded educational experience. Webbased teaching systems have the potential to greatly benefit education in developing countries by increasing access to quality education and reducing the cost of delivering education. However, there are also several challenges to implementing these systems in developing countries, such as limited infrastructure and resources, limited access to technology, and low digital literacy. The purpose of this review article is to analyse and contrast the efficacy of web-based teaching systems with traditional teaching systems, assess their respective advantages and disadvantages, identify the factors that influence their effectiveness, and conclude that web-based teaching systems offer certain benefits over traditional teaching systems, including greater flexibility, convenience, and the capacity to deliver multimedia content. However, traditional teaching systems also have advantages, such as the ability to provide face-to-face interaction and immediate feedback. This review paper examines the factors that impact the efficacy of both systems, such as the system's design, the quality of the educational materials, and the proficiency of the instructor. Both systems have their strengths and weaknesses, and the best approach depends on the specific needs and circumstances of the learner and the instructor.
Although of the semantic web technologies utilization in the learning development field is a new research area, some authors have already proposed their idea of how an effective that operate. Specifically, from analysis of the literature in the field, we have identified three different types of existing applications that actually employ these technologies to support learning. These applications aim at: Enhancing the learning objects reusability by linking them to an ontological description of the domain, or, more generally, describe relevant dimension of the learning process in an ontology, then; providing a comprehensive authoring system to retrieve and organize web material into a learning course, and constructing advanced strategies to present annotated resources to the user, in the form of browsing facilities, narrative generation and final rendering of a course. On difference with the approaches cited above, here we propose an approach that is modeled on narrative studies and on their transposition in the digital world. In the rest of the paper, we present the theoretical basis that inspires this approach, and show some examples that are guiding our implementation and testing of these ideas within e-learning. By emerging the idea of the ontologies are recognized as the most important component in achieving semantic interoperability of e-learning resources. The benefits of their use have already been recognized in the learning technology community. In order to better define different aspects of ontology applications in e-learning, researchers have given several classifications of ontologies. We refer to a general one given in that differentiates between three dimensions ontologies can describe: content, context, and structure. Most of the present research has been dedicated to the first group of ontologies. A well-known example of such an ontology is based on the ACM Computer Classification System (ACM CCS) and defined by Resource Description Framework Schema (RDFS). It’s used in the MOODLE to classify learning objects with a goal to improve searching. The chapter will cover the terms of the semantic web and e-learning systems design and management in e-learning (MOODLE) and some of studies depend on e-learning and semantic web, thus the tools will be used in this paper, and lastly we shall discuss the expected contribution. The special attention will be putted on the above topics.
A REGISTRY BASED DISCOVERY MECHANISM FOR E-LEARNING WEB SERVICEScscpconf
E-learning is currently taking the shape of a Web Service in various applications i.e. learners
can search for suitable content, book it, pay for it and consume it. This paper shows how the
search aspects for e-learning content can technically be combined with the recent
standardization efforts that aim at content exchangeability and efficient reuse. A repository for
learning object publication and search is proposed that essentially adapts the UDDI framework
used in commercial Web Services to the e-learning context. To adopt Web Services technology
towards the reusability and aggregation of e-learning services, the conceptual Web Services
architecture and its building blocks need to be augmented. The objective of this research is to
design broker based registry architecture for e- Web services which facilitates effective elearning
content/service discovery for the consumption or composition. The implementation
followed by experimentation showed that, the proposed e-learning discovery architecture
facilitates effective discovery with moderate performance in terms of overall response.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
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Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
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Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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A SURVEY AND COMPARETIVE ANALYSIS OF E-LEARNING PLATFORM (MOODLE AND BLACKBOARD)
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International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
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Paper Publications
A SURVEY AND COMPARETIVE
ANALYSIS OF E-LEARNING PLATFORM
(MOODLE AND BLACKBOARD)
1
Kanak Sachan, 2
Dr. Rajiv Singh
1
M.Tech (CS), 2
H.O.D
1, 2
Dept. of Computer Science & Engineering, Monad University, Hapur (U.P), India
Abstract: This paper presents an evaluation of open source e-learning platforms with the aim of finding the most
suitable platform for extending to an adaptive one. The extended platform will be utilized in an operational
teaching environment. Therefore, the overall functionality of the platform is as important as the adaptation
capabilities, and the evaluation treats both issues in this paper .in this paper we will explain the proper and best
learning platform for Users . In this we will compare one of the best learning platforms (Moodle and Blackbox)
both are all of them best virtual learning platform. We will compare both virtual system its functionality and using
best tool. This paper is focused on the Moodle Architecture and comparative study of Moodle, thus we discusses
comparisons it between different virtual learning platform at last conclusion we will describe which learning
platform is best for users.
Keywords: E-learning, Blackboard, Moodle, tools, function, methodology.
1. INTRODUCTION
E-learning can be defined as a “the use of new multimedia technologies and the internet to improve the quality of learning
by facilitating access to resources and services as well as remote exchenges and collaboration[15]. Learning is based on
the special system call the learning management system.
Currently lms adopted by many universities. E-learning provide the best interaction between student and teacher at
electronically, this phenomena based on chatting system or another media for virtual platform we have many software
platform available Good like Moodle and Blackboard learning system.
This software is in both forms, commercial and open source software (OSS). Moodle is one of the systems that have been
increasingly gaining worldwide popularity in e-learning system. This paper is focused on the Moodle Architecture and
comparative study of Moodle, thus we discusses comparisons between different virtual learning management systems
called Blackboard and presents some authentication plug-in that Moodle supports[2].at last we will suggests Moodle is
best virtual learning system because currently it has adopted by many country. Blackboard and Moodle are two Learning
Management Systems with a lot in common, but there are some key differences which make each one special in its own
way [3].
2. LETERATURE SURVEY BASED ON MOODLE AND BLACKBOARD
The successful Blackboard and moodle learning platform are themselves not enough to create Best Learning platform.
Here we will describe some problem inherited with Both learning platform, as find during survey of both learning
platform,as done survey of both then we get the result some difficulty arises with blackboard and less difficulty arises
with moodle plateform,actually moodle support a lots of feature ex. like Assignment submission and discussion form at
Blackboard it support feature but less to moodle actually at blackboard find issues like people will often complain about
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International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
Page | 294
Paper Publications
how Blackboards for the most part always down and inactive. Fifty percent of the time, if there is a weather issue
blackboard will shut down (Hack). This makes it very difficult to do your work if the program is not accessible this type
of problem happen with blackboard, at moodle find out here reporting is difficult for users.
3. METHODOLOGY AND TOOLS
E-learning is among the most important explosion propelled by the internet transformation. This allows users to fruitfully
gather knowledge and education both by synchronous and asynchronous methodologies to effectively face the need to
rapidly acquire up to date know-how within productive environments[7].using both methodology of learning management
system Here decided that two methods provides the best concept of learning management system.
1. Synchronous Methodology: - A Learning event in which a group of students are engaging in learning at the same
time..we can take the example of online learning programs when it started the people able to learn at same time but using
the electronic media like Skype webinars and video conferencing here using and teacher can collaborate at same time, a
lecture is also example of synchronous learning here teacher delivered the lecture of students and student same time can
query by teacher and can get reply back.
2. Asynchronous Methodology: - It is a process of learning management system where student and teacher can interact
with each-other at any time using email, electronic mailing list, online discussion board etc. E-learning is the use of
Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content,
learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal
learning objectives [8].
Some important tools using E-learning: Here we will describe some important E-learning tools:-
A. Curriculum Tools:-Curriculum tools widely used at college education. Additional tools, such as discussion forums
and online quizzes, are integrated to support collaboration and evaluation.
A typical commercial curriculum tool includes three integrated parts: instructional tools, administration tools, and student
tools. WebCT and Blackboard are the most popular commercial curriculum tools. A review comparing these two tools
suggests that Blackboard’s flexible content management and group work support [14].
B. Digital Library tool:-while curriculum tools supports class function digital library tools supports the locating function
if any person search anything using browser then this tool supports and provide the correct information to his users.
C. Knowledge Representation Tool:- Knowledge representation tool help learners to visually review, capture, or
develop knowledge. Curriculum tools rely primarily on a text-based, syllabus approach to describing course content[10].
The e-Learning evolution proposes a good number of tools assisting the instructional designer during the analysis, design,
implementation, and delivery of instruction via the Web[5]. If on one side an automated support should be provided by
authoring tools , on the other side these tools should implement suitable e-learning process design methodologies[11]
[12][13].
4. BACKGROUND AND MODEL
The World Wide Web has opened new feature for computer-based teaching and learning in the last 10 years. One of the
major stream of Web-based Education systems is the Learning Management Systems (LMS), which supports the all tools
of learning management system.
The history of the application of computers to education is filled with generic terms such as computer-based instruction
(CBI), computer-assisted instruction (CAI), and computer-assisted learning (CAL), generally describing drill-and-practice
programs, more sophisticated tutorials, and more individualized instruction, respectively[2]. LMS has its history in
another term, integrated learning systems (ILS) which offers additional functionality beyond instructional content such as
management and tracking, more personalized instruction, and integration across the system [15].
Szabo & Flesher defined LMS as the framework that handles all aspects of the learning process. An LMS is the
infrastructure that delivers and manages instructional content, identifies and assesses individual and organizational
learning or training goals, tracks the progress towards meeting those goals, and collects and presents data for supervising
the learning process of an organization as a whole system.
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International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
Page | 295
Paper Publications
5. BLACKBOARD LEARNING SYSTEM
The Blackboard Learning Management System, or Blackboard Learn, is a virtual learning environment and course
management system developed by Blackboard Inc. It is Web-based server software which features course management,
customizable open architecture, and scalable design that allows integration with student information systems and
authentication protocols. It may be installed on local servers or hosted by Blackboard ASP Solutions. Its main purposes
are to add online elements to courses traditionally delivered face-to-face and to develop completely online courses with
few or no face-to-face meetings.
Here At fig (i) show the shared Blackboard figure with here Show the relation in customer and different objects:-
Fig (i)
Functions: - The Blackboard Learning System provides users with a platform for communication and sharing content.
Course content: This feature allows teachers to post articles, assignments, videos etc.
Calendar: Teachers can use this function to post due dates for assignments and tests.
Learning modules: This feature is often used for strictly online classes. It allows professors to post different lessons for
students to access.
Assessments: This tab allows teachers to post quizzes and exams and allows students to access them via the internet
Assignments: This features allows assignments to be posted and students to submit assignments online
Grade Book: Teachers and professors may post grades on Blackboard for students to view.
Media Library: Videos and other media may be posted under this function [16].
Product development and competition:- The Blackboard Learning System has undergone several iterations, and new uses
have arisen as some educational institutions move from augmentation of traditional classroom learning to supporting full
online and virtual campus education. From the late 2000s, the product has also faced competition from free and/or open
source competitors such as Edvelop or Moodle.[17][18].
6. WEBCT AND BLACKBOARD
WebCT was originally developed at the University of British Columbia by a faculty member computer science, Murray
W. Goldberg. In 1997 Goldberg created a company, WebCT Educational Technologies Corporation, a spinoff company of
UBC. Since foundation of WebCT, use of online learning management software by higher education institutions and other
organizations has increased rapidly [20][21]. WebCT (Course Tools) or Blackboard Learning System, now owned by
Blackboard, is an online proprietary virtual learning environment system that is licensed to colleges and other institutions
and used in many campuses for e-learning[19].
Criticisms: - WebCT's user interface has been criticized as needlessly complex and unintuitive. The "Vista" version of
the product represented an attempt to derive balance between flexibility and ease of use, however it has also been the
target of ease-of-use criticisms. Some WebCT criticisms which were apparent include problems using it in multiple tabs
or browser windows, heavy reliance on Java for its user experience [22].
4. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
Page | 296
Paper Publications
7. MOODLE
Moodle is a free and open-source software learning management system written in PHP and distributed under the GNU
General Public License.[3][4] Developed on pedagogical principles[23][24][25][26].Moodle was originally developed by
Martin Dougiamas to help educators to create online courses with a focus on interaction and collaborative construction of
content, and it is in continual evolution. The first version of Moodle was released on 20 August 2002. Nowadays the
Moodle Project is led and coordinated by Moodle HQ, an Australian company of 30 developers which is financially
supported by a network of sixty Moodle Partner service companies worldwide. Moodle's development has also been
assisted by the work of open-source programmers [4][A][B].
Fig (ii)
Blackboard vs. Moodle Architecture:- A blackboard-system application consists of three major components:-
Blackboard Architecture:-
The software specialist modules:-it is the module which called the knowledge source point of blackboard. A software
connected to this knowledge points which contain the specific function i.e needed for applications.
Moodle Architecture:-
FIGURE 1: Blackboard Architecture FIGURE 2: Moodle Follows Fairly Classic Three-Layer Architecture
5. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
Page | 297
Paper Publications
Moodle as a modular system:- Like many successful open source systems, Moodle is structured as an application core,
surrounded by numerous plug-in to provide specific functionality. Moodle is designed to be highly extensible and
customizable without modifying the core libraries, as doing so would create problems when upgrading Moodle to a newer
version. So when customizing or extending your own Moodle install, always do so through the plug-in architecture.
The Moodle database:- The Moodle database comprises many tables (more than 250) because the whole database is an
aggregate of the core tables and the tables belonging to each plug-in. Fortunately, this large structure is understandable,
because the tables for one particular plug-in typically only link to each other and a few core tables. The Moodle database
structure is defined in install.xml files inside the db folder in each plug-in. For example mod/forum/db/install.xml
contains the database definition for the forum module. lib/db/install.xml defines the tables used by Moodle core. The
install.xml files contain comments that should explain the purpose of each table and column.
Blackboard vs. Moodle Interface Student View:-
The following Figure 3 and 4 show the comparison of the interface in student view for both Blackboard and Moodle
FIGURE: 3 (Blackboard Interface Student View) FIGURE: 4 (Moodle Interface Student View)
8. A BRIEF COMPARISON BETWEEN MOODLE 2.0 VERSUS BLACKBOARD 9.1
Here basically will compare about moodle 2.0 and Blackboard 9.1 because we have already discussed what they are here
will compare its some feature i.e. important for both.
Moodle 2.0:- Moodle 2.0 has been touted as Moodle’s “biggest release ever” with tons of upgrades, and its release is
scheduled for all users who are using already.
New features revolve around increased usability, these include: easier navigation, improved user profiles, community hub
publishing and downloading, a new interface for messaging, and a feature that allows teachers to check student work for
plagiarism.
Moodle has become famous because of it use two popular hosting services..
1:-Moodleroom
2:-Remote- Learner
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Blackboard 9.1:- Blackboard Learn 9.1 is Blackboard’s newest and most innovative upgrade to its Blackboard Learn
package. Blackboard Learn 9.1 also incorporates Blackboard Connect (at an additional cost), which alerts students to
deadlines, due dates and academic priorities within a course.
See here what are the big differentiators?
We will describes differences between them at the Bases of Features & Functions, Cost, Product/vendor model
1:- Features & Functions
2:- Cost
3:- Product/vendor model
1:- Features & Functions:- Both the best Learning management Platform has a lot of different functionality available,
either natively, or through add-on types of functionality.
you will really need to drill in and compare and decide for yourselves which features and functions make the difference
for your institution. Because it’s totally depends on the Requirements of Platform.
2:- Cost:-if you want to take the facility for some days then here moodle are totally free here no need to pay any charges
for moodle while it is not same for blackboard. If you want to move for premium then, Moodle is really the way to go.
Another thing to be aware of is that Blackboard builds substantial annual increases into their pricing model.
3:- Product/vendor model:-As we have discussed about moodle and blackboard which differ at feature and cost Because
One is open source, and there are many support and service vendors to choose from, while the other is proprietary and
there is just the one company to work with. How that impacts your decision is up to you and your institution to determine.
9. DISCUSSION
As a result from this review, we can see the important criteria in choosing Blackboard or Moodle as a learning
management system. Our reviews based on the comparison in the term of feature, cost, product. So here after comparison
made to the answer of our research question which learning platform is best for student, teacher or any other objects who
want to use it so here using case study first is that moodle learning platform is open source platform while Blackboard
learning platform is commercial platform so according to Requirement we will use the learning platform.
For the second case study, entitled "A Comparative Study of MOODLE with other e-Learning Systems ", the author has
choose Moodle as the optimal e-learning platform based on architecture and technical aspect compared with other e-
learning system [27]. There are pros and cons when choosing Blackboard or Moodle as Learning Management System in
higher education. It’s all depends on how the users use it, what they need most and how he IT department arrange the
Learning Management System for more user friendly interface[6].
10. CONCLUSION
Virtual learning environments are the future in the academic field, not only for higher education but also for secondary
education where they are being introduced. Now days learning platform adopted by all universities because each learning
platform has different feature depends on that which type you want to use .here main objective for improving the learning
management system one is efficiency ,another is interaction between the students because this paper is totally based on
comparison study of blackboard and moodle learning platform so after compare both learning platform to his function,
platform, vendor model we can say finally moodle learning platform is best because due to open source, great
community,customizable,widly available its familiar etc ,[5]from blackboard learning platform because moodle need to
make totally transform and update present educational system .
REFERENCES
[1] Graf, Sabine, and Beate List. "An Evaluation of Open Source E-Learning Platforms Stressing Adaptation
Issues." ICALT. Vol. 5. 2005.
[2] Kumar, Sheo, Anil Kumar Gankotiya, and Kamlesh Dutta. "A comparative study of moodle with other e-learning
systems." Electronics Computer Technology (ICECT), 2011 3rd International Conference on. Vol. 5. IEEE, 2011.
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International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 1, pp: (293-299), Month: April 2015 – September 2015, Available at: www.paperpublications.org
Page | 299
Paper Publications
[3] EduTools. (2006). CMS: Product Comparison System.
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