Rubric to Viacheslav Panasenko

101-rubric

Annotated Bibliography

Wireless and mobile technologies to enhance teaching and learning

1. T.C. Liu,
2. H.Y. Wang,
3. J.K. Liang,
4. T.W. Chan,
5. H.W. Ko,
6. J.C. Yang

Journal of Computer Assisted Learning

Volume 19, Issue 3, pages 371–382

DOI: 10.1046/j.0266-4909.2003.00038.x

This paper is integrated mobile learning devices, wireless communication and network technologies to build the WiTEC(Wireless Technology Enhanced Classroom). This research talked about how teachers and students can engage in teaching and learning via WiTEC. Thus, further investigation is needed to evaluate how these changes affect students’ learning process. Finally, we get developing appropriate guiding models for effective implementation is the key for the WiTEC.

A mobile learning system for scaffolding bird watching learning

1. Y.S. Chen,
2. T.C. Kao,
3. J.P. Sheu

Journal of Computer Assisted Learning

Volume 19, Issue 3, pages 347–359

DOI: 10.1046/j.0266-4909.2003.00036.x

This paper has reported developing a mobile learning system (Bird-Watching Learning) to construct an outdoor mobile-learning activity using up to date wireless technology. There are a PDA (Personal Digital Assistant) with a Wi-Fi-based (IEEE 802.11b) wireless network card in the BWL system. The BWL system supports the students learning through scaffolding  which it offers bird-watching activities and to investigate whether student learning benefited from the mobility, portability, and individualisation of the mobile learning device.

 

Towards a Theory of Mobile Learning

Mike Sharples1, Josie Taylor2, Giasemi Vavoula1
1University of Birmingham, UK, 2The Open University, UK
m.sharples@bham.ac.uk; j.taylor@open.ac.uk; g.vavoula@bham.ac.uk 

The framework described in this paper, there are learning in a mobile world and the design of new technologies and environments for learning both the analysis. The learning is relationship which learners in cooperation with peers and teachers construct transiently stable interpretations of their world. According to learning is from a technological perspective of human-computer interaction. They suggest that the implications of this re-conception of education are profound. It is cybernetic process of learning through continual exploration of the world and negotiation of meaning, mediated by technology.

Metrics used in text entry studies

Matti Koivisto, Principal Lecturer, Mikkeli Polytechnic, P.O. Box 181, 50101 Mikkeli, Finland

matti.koivisto@mikkeliamk.fi

Andrew Urbaczewski, Assistant Professor of Information Systems, University of Michigan – Dearborn, 19000 Hubbard Dr, FCS 164, Dearborn, MI 48126

aurbacze@umd.umich.edu

 

This article describes that we can analyze different accuracy metrics used in text entry studies and compare the quality of them against each other. We go through performance metrics used in text entry studies and describe the test design used for collecting text entry data and the findings from the survey. Then in this section only discuss performance measurements. The purpose of our study is to compare accuracy metrics introduced in text entry studies statistically against each other in order to analyze the quality or goodness of them. In our experiment we collected metrics used in both MSD and Keystroke Classification methods while a group of test users wrote email messages with three different input methods. After that we used discriminate analysis to provide classification rules that classifies cases back to three different groups. The results suggest that in text entry, take efficiency related information is more valuable than accuracy data. Our results are indicating that accuracy is an attribute of both user and the device.

Hello World, Mobile Learning

Mobile Learning