{"title":"Attribution Theory and Perceived Reliability of Cellphones for Teaching and Learning","authors":"Mayowa A. Sofowora, Seraphim D. Eyono Obono","volume":95,"journal":"International Journal of Information and Communication Engineering","pagesStart":3651,"pagesEnd":3658,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9999921","abstract":"
The use of information and communication
\r\ntechnologies such as computers, mobile phones and the Internet is
\r\nbecoming prevalent in today’s world; and it is facilitating access to a
\r\nvast amount of data, services and applications for the improvement of
\r\npeople’s lives. However, this prevalence of ICTs is hampered by the
\r\nproblem of low income levels in developing countries to the point
\r\nwhere people cannot timeously replace or repair their ICT devices
\r\nwhen damaged or lost; and this problem serves as a motivation for
\r\nthis study whose aim is to examine the perceptions of teachers on the
\r\nreliability of cellphones when used for teaching and learning
\r\npurposes. The research objectives unfolding this aim are of two
\r\ntypes: Objectives on the selection and design of theories and models,
\r\nand objectives on the empirical testing of these theories and models.
\r\nThe first type of objectives is achieved using content analysis in an
\r\nextensive literature survey: and the second type of objectives is
\r\nachieved through a survey of high school teachers from the ILembe
\r\nand UMgungundlovu districts in the KwaZulu-Natal province of
\r\nSouth Africa. Data collected from this questionnaire based survey is
\r\nanalysed in SPSS using descriptive statistics and Pearson correlations
\r\nafter checking the reliability and validity of the questionnaires. The
\r\nmain hypothesis driving this study is that there is a relationship
\r\nbetween the demographics and the attribution identity of teachers on
\r\none hand, and their perceptions on the reliability of cellphones on the
\r\nother hand, as suggested by existing literature; except that attribution
\r\nidentities are considered in this study under three angles: intention,
\r\nknowledge and ability, and action. The results of this study confirm
\r\nthat the perceptions of teachers on the reliability of cellphones for
\r\nteaching and learning are affected by the school location of these
\r\nteachers, and by their perceptions on learners’ cellphones usage
\r\nintentions and actual use.<\/p>\r\n","references":"[1] R. Entner, \u201cInternational Comparisons: The Handset Replacement\r\nCycle\u201d. Recon Analytics, Massachussetts, 2011.\r\n[2] IFPRI. \u201cThe World\u2019s most deprived: Characteristics and Causes of\r\nExtreme Poverty and Hunger.\u201d Washington, D.C., 2007\r\n[3] R. Entner, and Recon Analytics. \"The wireless industry: The essential\r\nengine of us economic growth.\u201d pp: 30-33, 2012.\r\n[4] S. Donoghue, \"An explanation of consumer complaint behaviour\r\nconcerning performance failure of major electrical household\r\nappliances.\" PhD. Dissertation, University of Pretoria, South Africa,\r\n2008.\r\n[5] R. Woodruff, R. Cadotte, and R. Jenkins., \u201cModelling consumer\r\nsatisfaction processes using experience based norms. Journal of\r\nMarketing Research, vol.20, p. 296-304, 1983.\r\n[6] R. DAY, and E. LANDON, (Jr). \u201cToward a theory of consumer\r\ncomplaining behavior, In Consumer and Industrial buying behaviour.\r\nEdited by A.G. Woodside, I.N. Sheth, & P.D, 1977.\r\n[7] S. Alder, \u201cSelf-esteem and causal attributions for job satisfaction and\r\ndissatisfaction\u201d. Journal of Applied Psychology, pp. 65-327, 1980\r\n[8] S. S. Chinn, \u201cAttribution theory applied to Information Technology\u201d,\r\n2002.\r\n[9] H. Kelley,. \"The processes of causal attribution.\" American psychologist,\r\nvol. 2, pp. 107, 1973.\r\n[10] D. T. Gilbert, and P. S. Malone, \"The correspondence bias.\"\r\nPsychological bulletin vol.1, pp: 21-117, 1995.\r\n[11] D. T. Miller and M. Ross. \"Self-serving biases in the attribution of\r\ncausality: Fact or fiction?\" Psychological bulletin, vol 2, pp: 82-213,\r\n1975.\r\n[12] E. E. Jones and K. E. Davis. \"From acts to dispositions: The attribution\r\nprocess in person perception.\" Advances in experimental social\r\npsychology, vol 2, pp: 219-266, 1965.\r\n[13] J. Li and S. Honda. \u201cReport on the Survey of the Import and the\r\nEnvironmentally Sound Management of Electronic Wastes in the Asia-\r\nPacific Region\u201d Beijing, 2005.\r\n[14] J. Cox, S. Griffith, S. Giorgi, and G. King. \"Consumer understanding of\r\nproduct lifetimes.\" Resources, Conservation and Recycling, vol 79, pp:\r\n21-29, 2013.\r\n[15] F.O. Ongondo, and I. D. Williams. \"Greening academia: Use and\r\ndisposal of mobile phones among university students.\" Waste\r\nmanagement, vol 31. pp: 1617-1634, 2011.\r\n[16] A.Tiwari, and D. Roy. \"Optimization of mean life of brands under cost\r\nconstraints with an empirical study on mobile handsets.\" International\r\nJournal of Quality & Reliability Management, vol 30, pp: 366-378,\r\n2013.\r\n[17] L. Bo, J. Yang, X. Song, and B. Lu. \"Survey on disposal behaviour and\r\nawareness of mobile phones in Chinese university students.\" Procedia\r\nEnvironmental Sciences, vol 16, pp: 469-476, 2012.\r\n[18] S. Murakami, M. Oguchi, T. Tasaki, I. Daigo, and S. Hashimoto.\r\n\"Lifespan of commodities, Part I.\" Journal of Industrial Ecology, vol 4,\r\npp: 598-612, 2010.\r\n[19] M. Oguchi, S. Murakami, T. Tasaki, I. Daigo, and S. Hashimoto.\r\n\"Lifespan of commodities, Part II.\" Journal of Industrial Ecology, vol 4,\r\npp: 613-626, 2010.\r\n[20] O. Osibanjo and I. Nnorom. \"Material flows of mobile phones and\r\naccessories in Nigeria: environmental implications and sound end-of-life\r\nmanagement options.\" Environmental Impact Assessment Review, vol\r\n28,pp: 198-213. 2008.\r\n[21] M. Pol\u00e1k, and L. Dr\u00e1palov\u00e1. \"Estimation of end of life mobile phones\r\ngeneration: The case study of the Czech Republic.\" Waste management,\r\nvol 8, pp: 1583-159, 2012.\r\n[22] L. Yeo, \"Utopia: Can we achieve it\u201d Master\u2019s Thesis, Aalto University,\r\nFinland, 2013.\r\n[23] S. Kim, M. Oguchi, A. Yoshida, and A. Terazono. \"Estimating the\r\namount of WEEE generated in South Korea by using the population\r\nbalance model.\" Waste management, vol 2, pp: 474-483, 2013.\r\n[24] L. Naing, T. Winn, and B. Rusli. \"Practical issues in calculating the\r\nsample size for prevalence studies.\" Archives of Orofacial Sciences, vol\r\n1, pp: 9-14, 2006.\r\n[25] W. Jansen and R. Ayers. \"Guidelines on cell phone forensics.\" NIST\r\nSpecial Publication 800 (2007): 101.\r\n[26] A. Persaudand, and P. Sehgal. \"Attitudes and perceptions of Canadians\r\ntowards e-government.\" Proceedings of the International Conference on\r\ne-Government (ICEG 2005). Academic Conferences Limited, 2005.\r\n[27] Van Deursen, A. J. A. M., and J. A. G. M. Van Dijk. \"Measuring digital\r\nskills.\" In Conference of the International Communication Association,\r\npp. 1-25, 2008","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 95, 2014"}