HCI for m-learning in image processing by handhelds
Abstract
The objective of this paper is to present a part of m-learning process developed at our University at the Faculty of Electrical Engineering in the field of image processing. The basic courses in this field are on the Faculty Web. The multimedia illustration of the basic methods in image processing is realized both on Desktop PC and on handheld (PDA) devices equipped with cameras and could be used individually by each student. The students can take photos with the cameras and interactively learn about the results of the image processing algorithms. For efficient use of the handheld devices we developed a suitable HCI. According to the surveys with 20 students at the last year of study, their experience with our specially developed tools for m-learning is very positive.
References
[1]
Pierce, J.S., Mahaney, H.: Opportunistic Annexing for Handheld Devices: Opportunities and Challenges. Georgia Institute of Technology (2004).
[2]
Fallon, M.A.C.: Handheld Devices: Toward a More Mobile Campus, Syllabus (November 2002) http://www.campus-echnology.com/article.asp?id=6896
[3]
Laberge, S., Vujosevic.: Building PDA Databases for Wireless and Mobile Development. Wiley Publishing, Inc, Indianapolis, Indiana (2003).
[4]
Roschelle, J., Pea, R.: A Walk on the WILD Side: How Wireless Handhelds May Change Computer-Supported Collaborative Learning. Int'l J. Cognition and Tecnology 1, 145-168 (2002).
[5]
Aggarwal, Anil.: Web-based learning and teaching technologies - opportunities and challenges. Idea Group Publishing, Hershey, Pa (2000).
[6]
Finn, M., Vandenham, N.: The Handheld Classroom: Educational Implications of Mobile Computing, Australian Journal of Emerging Technologies and Society, 2(1) (2004).
[7]
Kinshuk, Goh, T.: Mobile Adaptation with Multiple Representation Approach as Educational Pedagogy. In: Uhr, W., Esswein, W., Schoop, E., (eds.) Wirtschaftsinformatik, Dresden, Germany (2003).
[8]
Sharples, M., Corlett, D., Westmancott, O.: The Design and Implementation of a Mobile Learning Resource. In: Personal and Ubiquitous Computing, 6, 220-234. Springer, London (2002).
[9]
Cabreral, J.S., Frutosl, H.M., et al.: Mystery in the Museum: Collaborative Learning Activities using Handheld Devices. MobileHCI'05, Salzburg, Austria (September 19-22, 2005).
[10]
Liu, T., Choudary, C.: Realtime Content Analysis and Adaptive Transmission of Lecture Videos for Mobile Applications. MM'04, New York, USA (October 10-16, 2004).
[11]
Carroll, J.M., Rosson, M.B.: A Case Library for Teaching Usability Engineering: Design Rationale, Development, and Classroom Experience. ACM Journal on Educational Resources in Computing, Article 3, vol. 5(1), (March 2005).
[12]
Ganoe, C.H., Somervell, J.P., et al.: Classroom BRIDGE: using collaborative public and desktop timelines to support activity awareness. UIST '03, Vancouver, BC, Canada.
[13]
Brotherton, J.A., Abowd, G.D.: Lessons Learned From eClass:Assessing Automated Capture and Access in the Classroom. ACM Transactions on Computer-Human Interaction 11(2), 121-155 (2004).
[14]
Luchini, K., Quintana, C., Soloway, E.: Pocket PiCoMap: A Case Study in Designing and Assessing a Handheld Concept Mapping Tool for Learners. CHI 2003, pp. 5-10, Ft. Lauderdale, Florida, USA (April 2003).
[15]
Zhang, D., Zhao, J.L., et al.: Can e-Learning Replace Classroom Learning?. Communications of the ACM, vol. 47(5) (May 2004).
[16]
Jipping, M.J, Krikke, J., et al.: Using Handheld Computers in the Classroom: Laboratories and Collaboration on Handheld Machines, SIGCSE 2001 2101 Charlotte, NC, USA (2001).
[17]
Luchini, K., Quintana, C.: Soloway, Design Guidelines for Learner-Centered Handheld Tools, CHI 2004, Vienna, Austria (April 24-29, 2004).
[18]
Anderson, D.: Image Object Search Combining Colour With Gabor Wavelet Shape Descriptors; B.Sc., University of Victoria (1997).
[19]
Ibrahim, A., Azimi-Sadjadi, M.R.: A Fast Learning Algorithm for Gabor Transformation. IEEE Transactions on Image Processing 5(1), 171-175 (1996).
[20]
Teuner, A., Hosticks, B.J.: Adaptive Gabor transformation for image processing. IEEE Trans. Image Processing 2(1), 112-117 (1993).
[21]
Microsoft eMbedded Visual C++ 4.0 (Microsoft Corporation 2004) http://msdn.microsoft. com/mobility/othertech/eVisualc/default.aspx
[22]
Pocket PC Downloads - Power Toys 2004 (Microsoft Corporation, 2004) http:// www.microsoft.com/technet/prodtechnol/wce/downloads/ppctoys.mspx#EFAA
[23]
Windows Mobile Based-Pocket PC (Microsoft Corporation, 2004) http://www. microsoft.com/windowsmobile/pocketpc/default.mspx
Recommendations
Considering mobile device constraints and context-awareness in adaptive mobile learning for flipped classroom
Today, the mobile technologies and Information and Communication Technology development opened the door on new methods and pedagogies of learning. We are talking here about the mobile learning and the flipped classroom approaches. The flipped classroom ...
Language Learning Outside the Classroom Using Handhelds with Knowledge Management
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative TechnologiesAdvancement of wireless and mobile technology has enabled additional platforms to support learning in a single learning space. Current trend integrates usage of mobile terminals such as smart PDA (personal digital assistant) in a learning system. Such ...
Development of interactive applications for mobile devices
MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 22 July 2007
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 6Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 01 Jan 2025