Assoc. Prof. Dr. Syed Abdul-Rahman Al-Haddad Intelligent Application System Model of Learning Outcomes Management for Academician Personally in Higher Learning Institution Authors: Prof. Dr. Rusli Abdullah Assoc. Prof. Dr. Syed Abdul-Rahman Al-Haddad Assoc. Prof. Dr. Shaiful Jahari Hashim Amir Kombo Mwinyi

OUTLINE INTRODUCTION Objective Contributions LITERATURE REVIEW METHODOLOGY RESULTS AND DISCUSSIONS CONCLUSIONS Q & A

1. Introduction Data Transfer Synchronization Algorithm Server LMS 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A 1. Introduction Data Transfer Synchronization Algorithm LMS Server Client Client Process of precisely coordinating or matching two or more activities, devices, or processes in time The Remote File Synchronization (RFS) is a data transfer method where the sender does not have knowledge about the files held by the receiver in the communication system. Consider the following scenario, Sender S has a copy of file fnew and Receiver R has an old copy of file fold, the challenge is to design an algorithm that is capable of enables Receiver R to have a copy of file fnew while minimizing the communication cost between the two sides. learning management system (LMS) is a web based system that provides learning materials to multiple learners An algorithm is a procedure or formula for solving a problem. With the increasingly widespread application of cloud computing, multiple cloud storage platforms have emerged, such as Dropbox, GoogleDrive, OneDrive, etc. These synchronization technology tools are based on specific platform Fig 1: Synchronization in multiple devices

Introduction Fig 2: No Collaboration between LMS 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Introduction Fig 2: No Collaboration between LMS

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A a) Objectives To design MAS framework to enhance rsync algorithm. This managed to reduce the communication cost of the rsync algorithm. To develop interoperability HLMS model that utilizes the proposed improved rsync algorithm to facilitate learning contents synchronization in the Multi-LMS. To develop and evaluate HLMS prototypes that took advantage of the interoperability model to share learning contents in different courses from different LMS.

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A b) Contributions The study has contributes in the following area as summarized here: The MAS framework was proposed where a number of heterogeneous agents are needed to solve the problem of communication cost in rsync during search process of the similar file between two computers. Interoperability HLMS model was presented for improving collaboration and sharing of learning contents in LMS. Prototype that utilized the improved rsync with interoperability HLMS Model was developed in this study in order to facilitate the synchronization of learning materials among different LMSs. The use of agents to facilitate the synchronization process

2. Literature Review Fig 3: Literature organization chart 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A 2. Literature Review Knowledge Query and Manipulation Language - enable agents’ interaction and communication. The system specification phase focuses on identifying the goals and basic functionalities of the system, along with inputs (percepts) and outputs (actions) from the environment. The architectural design phase uses the outputs from the previous phase to determine which agent types the system will contain and how they will interact. The detailed design phase looks at the internals of each agent and how it will accomplish its tasks within the overall system. Fig 3: Literature organization chart

Related work using different techniques 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Related work using different techniques No Title Authors Advantage Disadvantage Comment 1 Pre-Processing Directory Structure For Improved RSYNC Transfer Performance Ghobadi, et al,. (2011) Reduces the computational time required by rsync at both the sender and the receiver nodes in order to reduce the file search process. Need more research to reduce overhead caused be creating hierarch tree at the receiver. Good but needs some innovation 2 A cloud storage synchronization strategy based on cdmi Yang, et al., (2014) There technique can be used to synchronize different platforms and working offline. Lack of proactive reasoning It uses rsync to detect differences in the file 3 Improved Single-Round Protocols for Remote File Synchronization Utku et al., (2005) Merging multiple-round approach to reduce communication cost using erasure codes. It uses the same searching process as in rsync Need improvements 4 Implementation and design of a service-based framework to integrate personal and institutional learning environments Conde, et al.,, (2014) LMS does not adapted to learners needs. Therefore, to solve this problem they manage to integrate personal learning environment with LMS. The proposed interoperability system based on the personal needs Good for learning preference 5 e-Learning in Malaysian higher education institutions: Status, trends, & challenges Embi, 2011 Embi proposed the integration and interoperability between LMSs, “MOHE should also consider the development of a specific LMS for use in Malaysian HEIs” HEIs are either using open-source LMS such as Moodle or developing their own and modifying their existing LMS. There is a need to have a specific LMS (HLMS) where by HLIs can share resources 6 Using Semantic Web Services technology for simulating collaborative learning activities Khemaja, (2014) The paper used semantic web services to guarantee effective collaboration to achieve high level of learning outcomes. The study based on using e-learning standards to provide more efficient systems. Good as a simulator system

3. Methodology Fig 4:Summary of the research methodology 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A 3. Methodology Fig 4:Summary of the research methodology

Proposed Irsync algorithm Flowchart 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Proposed Irsync algorithm Flowchart Fig 5: irsync flowchart following data updates. If no, this data update will be ignored and the agent is reset to monitor; otherwise, the full updated file is taken place.

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Traditional method Fig 6: Each LMS standalone in the traditional system

Proposed Method Fig 7:Multi learning management system with MAS 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Proposed Method Fig 7:Multi learning management system with MAS

System Model Fig 8: Interoperability Model in Heterogeneous LMS 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A System Model Fig 8: Interoperability Model in Heterogeneous LMS

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Agent types

4. Results and Discussions 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A 4. Results and Discussions Fig 10: Shows the experimental results for Remote file synchronization in MLMS .

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A evaluation of the two systems for synchronization of learning materials RSYNC Update rate CLOUD Update rate No. of files Proposed System Cloud (CDMI) 2 1.5 128 103 77 2.3 1.4 256 189 130 2.1 1.45 512 460 390 1.3 1024 895 788 2.11 2048 1789 1497 Fig 10: Shows the comparison results between CDMI and irsync

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Synchronization rate Fig 11: Synchronization rate of the MAS against cloud storage (CDMI)

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A 5. Conclusion The results show that the performance of the irsync algorithm in RFS is outstanding. The algorithm was enabled to shorten the communication cost between the two remote computers and hence to solve the rsync problem The irsync then implemented in the interoperability HLMS model to show the effectives of the proposed techniques. This goal was achieved after implementing it in the prototype that was developed in this study.

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Future Works Introducing mobile learning in HLMS by using MAS technology paradigm in HLIs, In using MAS to predict the file block size to reduce sending unnecessary file blocks during RFS. The proposed irsync algorithm can be integrated in existing social networks (Facebook, Twitter, etc) to synchronize users’ information from different computers.

1. Introduction  2. Literature Review  3. Methodology  4 1. Introduction  2. Literature Review  3. Methodology  4. Result and Discussion  5. Conclusion  6. Q & A Q & A THANK YOU Wooldridge defined agent as a computer software that is situated in the some environment and that is capable of autonomous action in order to meet its designing goals.