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Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 1 Mobile Web Services for Collaborative.

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Presentation on theme: "Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 1 Mobile Web Services for Collaborative."— Presentation transcript:

1 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 1 Mobile Web Services for Collaborative Learning Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao RWTH Aachen University Informatik V (Information Systems) Aachen, Germany Mobile Web Services for Collaborative Learning

2 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 2 Mobile Web Services for Collaborative Learning People learn in Communities l "Learning is conceptualized as a social system within communities of practice" [E. Wenger, Communities of practice: Learning, meaning and identity ] –Best way to learn: in groups l Social software applications l Mobile and ubiquitous technologies social systems for mobile knowledge sharing

3 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 3 Mobile Web Services for Collaborative Learning Overview 2. Shift from e- to we-learning and the potential use of social software in collaborative learning 3. Mobile and ubiquitous learning 4. Mobile web services architecture 5. The Mobile Host: implementation and evaluation 6. Conclusion

4 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 4 Mobile Web Services for Collaborative Learning From e-learning to we-learning l e-learning content today is managed via centralized systems l e-learning is more than authoring / delivering static content l It should occur within a socially open context which supports –listening, viewing, reading –writing, co-creating –discussing, commenting –... –and sharing of dynamic learning resources and best practices move away from e-learning to we-learning l e-learning should place more focus on collaboration

5 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 5 Mobile Web Services for Collaborative Learning Social Software l Web shifts from consummation to read-write Web (Web 2.0) –sharing –collaboration –collective intelligence –distributed content l Social Software supports –social feedback –social networks l Examples –Wikis –Blogs –Media sharing and social tagging Social network of people with similar interests

6 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 6 Mobile Web Services for Collaborative Learning Mobile Social Software l mobile publishing, listening, and sharing of resources. l new variants of blogs: –phlogs: photographs as primary content –moblogs: mobile blogs, post content from a mobile device –podcasting: iPod and broadcasting, audio files recorded by individuals and then distributed via webfeeds –vodcasting: video-on-demand

7 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 7 Mobile Web Services for Collaborative Learning Social Software for Learning l Should support collaborative learning and foster socialization and network building l Wikis –collaborative learning content creation, organization, and peer editing l Blogs –online knowledge publishing systems –categorize learning resources collaboratively with tags –find learners with same interests or subscribe to tags –webfeeds disseminate up-to-date learning content l Podcasting and Vodcasting for –replace or complement classroom or online lectures –feedback to learners –enable to re-view training or lectures [E. Kaplan. Trend: Podcasting in Academic and Corporate Learning. Learning Circuits.]

8 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 8 Mobile Web Services for Collaborative Learning From e-learning to m-learning and u-learning l Learning is mobile m-learning l Learning supported by embedded computing u-learning l Mobile devices in learning: –take pictures and video clips –send s, texts and graphics –browse the web –download programs –access lectures [S. Sharma, and F. Kitchens. Web Services Architecture for M-Learning, Journal on e-Learning] [G.N. Vavoula, and M. Sharples. KLeOS: A personal, mobile, Knowledge and Learning Organisation System. WMTE2002] [M. Prensky. What Can You Learn from a Cell Phone? Almost Anything! Innovate, Online Journal ]

9 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 9 Mobile Web Services for Collaborative Learning Mobile Web Services Architecture for Collaborative Learning l Software as a Service (SaaS) l Service-Oriented Architecture (SOA) –loose coupling and clean encapsulation –Web Services –Web Services Description Language (WSDL) –standards, such as SOAP and HTTP –UDDI registry (yellow pages) –All Web Services standards are based on XML Web Services are a perfect fit for settings involving many peers

10 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 10 Mobile Web Services for Collaborative Learning The Mobile Host l We developed the "Mobile Host", a web services provider for mobile devices l A Web Services handler on top of a web server l PersonalJava on a SonyEricsson P800 l kSOAP2 based requests via HTTP tunneling l Footprint of Mobile Host is 130 KB

11 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 11 Mobile Web Services for Collaborative Learning Evaluation l Simple request-response scenario –a standalone Axis-based client accessed services like Ÿ photo album service Ÿ location data provisioning service Ÿ echo, ls, etc. l How many clients can be served without preventing user from using her phone in the usual fashion? –limit for the number of concurrent participants –up to 8 concurrent accesses with response sizes of around 2 KB

12 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 12 Mobile Web Services for Collaborative Learning Evaluation (GPS location data) Client and transmission

13 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 13 Mobile Web Services for Collaborative Learning Mobile Host Scenarios for m-learning l Can provide information like –pictures –audios –videos –location details l The Mobile Host can be used whenever data is pulled from or pushed to a mobile device.

14 Lehrstuhl Informatik V (Informationssysteme) Prof. Dr. M. Jarke Mohamed Amine Chatti Satish Srirama David Kensche Yiwei Cao 14 Mobile Web Services for Collaborative Learning Conclusion l Stressed the importance of –collaboration, community building and social networking for learning –integration of Web 2.0 concepts and social software in e- learning l Explored use of mobile and ubiquitous technologies to enhance collaborative learning activities l Presented a smart phone driven Web Services provider l Proved Mobile Host feasible in terms of performance


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