Monitoring and Evaluation of Research Grant DIKTI 2013 Social Mobile Learning Enhancement of Learning Management System Featuring Mobile Learning and Interactive Multimedia Content
Jun 11, 2015
Monitoring and Evaluation of Research Grant DIKTI 2013
Social Mobile LearningEnhancement of Learning Management System Featuring Mobile Learning and Interactive Multimedia Content
Digital Learning 2.0Persuasive
Interactive
“Learning is Generating Content and Communicating with People” - Yuen Steve C 2010
“The Future of e-Learning is Social Learning” – Jane Hart 2009“The Future of e-Learning: A Shift to Knowledge Networking and Social Software” – Chatti 2007
Our Challenges ?
COURTESY : CONNECTED ARCHITECTURE FOR CONNECTED PLANETBY LAWRENCE WILKEShttp://java.sys-con.com/node/2553964
Research Road Map
2012Core
Functional Feature Mobile
Learning(User profile,
Courses, online Quiz, multimedia streaming,
online exam, chatting)
2013Enterorise Social
Software and Architecture Enhancement
(grouping, group controlling,
collaboration, content type
support) enrichment e.g flash, video,
presentation slide)
2014Cross Plaform,
Advanced Enterorise Social Software and
Architecture Enhancement
(learning space terdiri dari personal space
(RSS Feed, e-Portfolio, dan personal blog), collaboration and
communication space (course blog, course wiki, bookmarking, messaging, content sharing, podcasting,
social network, mobile conference, dan
mashup)
2015 ....
Know2lege Management and
Collective Intelligence
media library, search engine, intelligent web, dan analyzing
space
Courtesy : Yuen Steve C. “Collective Intelligence and E-Learning 2.0. Creating Futures Through Technology Pre-Conference”. Biloxi, Mississippi. March 3, 2010.
Web 1.5
Web 2.0
Web 2.0
Web 3.0
The Proposed Integrated Digital Learning Architecture
Current Environment :Server Virtualization
Server
SQL Server 2008 Enterprise Edition
Service Tier
Glassfish 3.0
Presentation Tier
Glassfish 3.0
Business Tier
Glassfish 3.0
File Server
Apache Web Server
komputer PC
Android Smartphone
Mobile Lerning
Proposed System Architecture
courtesy : Patterns for Building High Performance ApplicationsBy TechSpot. http://java.sys-con.com/node/2116436
Technology Considerataion Java Enterprise Edition 6
Struts Framework Enterprise Java Bean 3.1
and JPA GlassFish 3.1 Restful Web Service Apache Web Server Micorosft SQL Server Android
M-Learning View (Java ME)
Halaman Home Halaman Nilai Halaman Daftar Mata Kuliah
Halaman Daftar bab per mata kuliah
Video content Static content Online Quiz and exam
Task Assignment
M-Learning View (Android)
E-Learning View (Java EE)
Student
Join
request
University Groups(IT Telkom Bandung)
Approval fromUniversity Administrator
(adminittel)
1. Join in University
2. Join in Study Program
University Groups(IT Telkom Bandung) Study
Program(Information System)
Join
request
StudentApproval from
Departement Administrator(kaprodiittsi)
3. Open and Create Content
Departement Groups(Information System IT Telkom)
Lecturer
Open /
create
Student
Uploaded
4. Collaboration to Generate Contents
Subject
5. Online Quiz
Departement Groups(Information System IT Telkom)
Open
Student
Lecturer
Question Bank
6. Student’s Progress Monitoring
Departement Groups(Information System IT Telkom)
Open
Student
Lecturer
System
Testing
1. First Test Implements single tier Architecture. Presentation Tier, Business Tier, and Data Tier are placed on same machine.
2. Second Test Implements multitier Architecture. Each tier is placed on different machine with 2GB and 4GB RAM respectively
3. Windows 2008 Server 64 Bit is used as server platform in each virtualized machine
4. JMeter is used as a tool for load test
Response Time in Presentation Tier
50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
50
100
150
200
250
300
350
400
Response Time Presentation
Single Tier 2GBMulti tier 2 GBMulti tier 4 GB
Throughput in Presentation Tier
100 200 300 400 500 600 700 8000
50
100
150
200
250
300
350
400
450
Throughput
Single Tier 16GBMulti Tier 2GBMulti Tier 4 Gb
thro
ghpu
t / s
ec
User
Response Time in Web Service Tier
50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
2000
4000
6000
8000
10000
12000
14000
ResponseTime Web Service
Single Tier 2GBMulti Tier 2GB
Throughput in RESTFUL Web Service Tier
100 200 300 400 500 600 700 80027
28
29
30
31
32
33
34
Throughput Web Service
Single Tier 16GBMulti Tier 2GB
thro
ghpu
t / se
c
Researcher on Mobile Learning
Architect : Seno Adi Putra Amelia Kurniawati Adityas Widjajarto
System Developer : Giovanni Anggasta Kartiko Edhi Devita Ike
Content Developer : Nanda Novita Dewi Anisyah Surya Putri Nurdelvitasari Betty Niki Ananda P Margaretha M Simon Frans Hornop Debby Yulianti
Thank You