Vestnik NSU. Series: Information Technologies|
Novosibirsk State University Journal of Information Technologies
ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)
Performance Expectancy with Usability Relevance for M-Learning Technology in Education
Ammar Wisam Altaher
DOI: DOI 10.25205/1818-7900-2017-15-4-5-13
UDC code: 004
The challenges faced in using new technologies in the classroom are numerous, but contributions generated with their resolution can proportionately provide original and efficient teaching practices more in tune to students' eager learning needs. This article presents some statistical of Kazan federal university / Russia student data analysis perception to help teachers in transversal themes classes using m-learning by review the (Tabulation for Age group * Gender, Year of study, Phone Category , course materials) and analyzing the independent factors like (Performance Expectancy, Effort Expectancy, Behavioral Intention to Use, Content Accuracy, and Usability, relevance). The use of mobile devices and the choice of applications in teaching revealed important data, indicating that the expansion and intensification of the use of these devices in the classroom is possible. In university Education, the situation emerges as an opportunity to make up for lost time and space in the restitution of studies, as well as furthering advancement in teaching, itself. Competent m-learning practice rises to situations that reach beyond the concept of technological resources. They imbue teaching with intrinsic characteristics that facilitate and motivate teaching and learning situations to the benefit of all participants. The classic approach of adhering to a fixed professional code of conduct or having your proposed methods first evaluated by an ethics committee does not deal well with the rapidly changing contexts so often found in mobile learning research. Previous work (Andrews T., Dyson L. E., Wishart J. (2015) Advancing ethics frameworks and scenario-based learning to support educational research into mobile learning, International Journal of Research & Method in Education, Vol. 38, Iss. 3, pp. 320–334) concludes that collaborative scenario generation framed by an agreed ethics structure is an effective way forward for supporting researchers planning data collections in mobile learning contexts.
M-learning, readiness, ubiquity, availability
How to cite:
Altaher A. W. Performance Expectancy with Usability Relevance for M-Learning Technology in Education // Vestnik NSU Series: Information Technologies. - 2017. - Volume 15, Issue No 4. - P. 5-13. - DOI 10.25205/1818-7900-2017-15-4-5-13. - ISSN 1818-7900. (in Russian).
Full Text in Russian
Available in PDF
1. Andrews T., Dyson L. E., Wishart J. (2015) Advancing ethics frameworks and scenariobased learning to support educational research into mobile learning. International Journal of Research & Method in Education, vol. 38, iss. 3, pp. 320–334.
2. UNESCO, 2015. Educação para cidadania global: preparando alunos para os desafios do século XXI. Ministério da Educação, Brasília.
3. Boruchovitch, E., Bzuneck, J. A., & Guimarães, S. E. R. (Orgs.), 2010. Motivação para aprender: aplicações no contexto educativo. Vozes, Petrópolis, RJ.
4. Hwang, G. J., Wang, S. Y., & Lai, C.L. 2015. Seamless flipped learning- a mobile technologyenhanced flipped classroom with effective learning strategies. Journal of Computers in Education, 2 (4), 449–473.
5. Leite, B. S, 2014. “M-Learning: o uso de dispositivos móveis como ferramenta didática no Ensino de Química”. Revista Brasileira de Informática na Educação, vol. 22, no. 3.
6. Batista, S. C. F, 2011. M-learnMat: modelos pedagógicos para atividade de m-learning em matemática. 255 p. Tese. (Doutorado em Informática na Educação) Universidade Federal do Rio Grande do Sul, Porto Alegre, RS.
7. Behar, P. A, 2009. Modelos Pedagógicos em Educação a Distância. Porto Alegre: Artmed.
8. Smit, A., 2015. U.S. Smartphone use in 2015, Pew Research Center report. Retrieved from: http://www.pewinternet.org/files/2015/03/PI_Smartphones_0401151.pdf
9. Lenhart, A. & page D., 2015. Teen, social media, and technology overview 2015, Pew Research Center report. Retrieved from: http://www.pewinternet.org/files/2015/ 04/PI_Teensand Tech_Update2015_0409151.pdf
10. Liu M., Scordino R., Geurtz R., Navarrete C., .Ko Y. & Lim M., 2014. A Look at Research on Mobile Learning in K–12 Education From 2007 to the Present, Journal of Research on Technology in Education, Vol. 46, No.4, pp.325-372
11. Meishar-Tal, H. & Gross, M., 2014. Teaching Sustainability via Smartphone-Enhanced Experiential Learning in a Botanical Garden. International Journal of Interactive Mobile Technologies (iJIM), vol. 8, no. 1, p.10.
12. OELPC. (2009). The Future OELPC: One Educational Laptop Per Child. Retrieved from http://www.olpcnews.com
13. Ivanchenko, D. (2014). Informatization of university: Modern approaches and tools for implementation. Moscow: Oktopus.
Main title Vestnik NSU Series: Information Technologies, Volume 15, Issue No 4 (2017).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 15, Issue No 4 (2017).
Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii
Year of Publication: 2017
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
© 2006-2019, Novosibirsk State University.