Research on Mobile Learning

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