because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technologies. the eff...

Background: Because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. Mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technolog...

this study aimed at examining the major mobile wireless technologies, that is,mobile phones and the possibilities associated with them, currently in use in theeducational domains, with an emphasis on language teaching and learning practices.accordingly, some of the most typical studies using different functions of mobilephones such as e-mail, multimedia capabilities, wireless application protoc...

The Zeaman-House-Lovejoy (ZHL) model for discrimination learning involves interacting perceptual and response learning processes, with rate parameters v and 0, respectively. This paper describes a number of predictions of the ZHL model for the optional shift paradigm. Kendler and Kendler showed that the proportion of subjects who learn an optional shift as a reversal increases with subject’s ag...

This study aimed at examining the major mobile wireless technologies, that is,mobile phones and the possibilities associated with them, currently in use in theeducational domains, with an emphasis on language teaching and learning practices.Accordingly, some of the most typical studies using different functions of mobilephones such as e-mail, multimedia capabilities, Wireless Application Protoc...

Y. Huang acknowledges partial support from a UCF Graduate College Presidential Fellowship and National Science Foundation (NS F) grant No. 1200566. C. Li acknowledges partial support from NSF grants No. 0806931 and No. 0963146. M. Georgiopoulos acknowledges partial support from NSF grants No. 1161228 and No. 0525429. G. G. Anagnostopoulos acknowledges partial support from NSF grant No. 1263011....