نوع مقاله: مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری آموزش محیط‌زیست دانشگاه پیام نور
2 استاد گروه آموزش محیط‌زیست دانشگاه پیام نور
چکیده
افزایش نگرانی در مسائل مختلف زیست‌محیطی و نیاز به پاسخگویی به جوامع جهانی، کاربرد فناوری اطلاعات و ارتباطات را در نظام‌های آموزشی و دانشگاهی به یک برنامه و جریان آموزشی فعال تبدیل کرد؛ اما مقدم بر کاربرد آن، باید عامل‌های مؤثر بر پذیرش و استفاده از این پدیده شناسایی شوند. این پژوهش به بررسی ارائه آموزش‌های زیست‌محیطی از طریق فناوری تلفن همراه با روش پژوهش، توصیفی از نوع تحقیقات مبتنی بر پیش‌بینی می‌پردازد. جامعة آماری شامل دانش‌آموزان شهر تهران در سال تحصیلی 1394 به تعداد 2422905 نفر است که با روش نمونه‌گیری خوشه‌ای طبقه‌ای تصادفی با انتساب متناسب، منطقه 12 انتخاب شد از بین مدارس این منطقه دانش‌آموزان پایه نهم به‌صورت تصادفی به تعداد 350 نفر برای بررسی انتخاب گردید. برای گردآوری داده‌های این پژوهش درزمینة پذیرش یادگیری سیار از پرسشنامة تدوین شدة چئون و همکارانش استفاده گردید. روایی پرسشنامه با نظرات متخصصان و صاحب‌نظران مورد تأیید قرار گرفت. برای بررسی پایایی از آلفای کرونباخ استفاده شده است که این مقدار برای متغیرهای پژوهش بیش از 7/0 به دست آمد که نشان‌دهنده پایایی درونی مطلوب پرسشنامه است. تحلیل داده‌ها با نرم‌افزارهای آماری SPSS و LISREL نسخه 8/8 انجام گرفت. یافته‌های حاصل از تحلیل مسیر در پژوهش هنجار ذهنی، نگرش و قصد رفتاری نقش معناداری در تمایل دانش‌آموزان به استفاده از فناوری آموزش سیار در یادگیری آموزش محیط‌زیست را نشان دادند.
کلیدواژه‌ها
عنوان مقاله [English]
Mobile learning in environmental impact assessment training using theory of reasoned action
نویسندگان [English]
- Seyedeh Zahra Shamsi 1
- Seyed Mohammad shobeiri 2
1 PhD Student of Environmental Education, Payame-e Noor University
2 professor, Department of Environmental Education, Payame Noor University and Head of UNESCO Chair on Environmental Education Tehran, Iran.
چکیده [English]
Increasing concern in various environmental issues and the need to respond to global societies transformed the use of information and communication technology into academic and academic systems into an active curriculum and curriculum. But prior to its application, the factors that affect the acceptance and use of this phenomenon should be identified. This research studies the provision of environmental education through mobile technology with research methodology, descriptive type of research based on prediction. The statistical population includes 2422905 students in Tehran during the academic year 1394, selected by stratified cluster sampling with proportional assignment. Out of the schools of this region, the 9th grade students were randomly selected to sample 350 people. To collect data, this study was conducted on the adoption of mobile learning from the questionnaire developed by Cheon et al. Validity of the questionnaire was approved by experts and experts. For reliability evaluation, Cronbach's alpha was used, which was more than 0.7 for research variables, indicating the internal reliability of the questionnaire. Data were analyzed by SPSS software and LISREL version 8.8. The findings of path analysis in the research of subjective norm, attitude and behavioral intention showed a significant role in students' desire to use mobile education technology in learning environmental education.
کلیدواژه‌ها [English]
- Environmental Education
- Cellular phone
- Mobile Learning
- The theory of reasoned action
Alikhani, F., Alikhani, P., Eslampanah, M., (2015). The Effect of Education via M-learning on Learning, Retention and Progress Motivation, Quarterly Journal of Information and Communication Technology in Educational Sciences, 5(4), 19-33. [Persian].
Alirezaei, A. Jabarzadeh, Y. Haji Akhoondi, E. RahmanyYoushanlouei, H. (2013). Teleworking Technology Adoption in Organizations: Explaining the Role of Social Influence, Motivation and Facilitating Conditions, Journal of Information Technology Management (JITM), 5(3), 105-122. (Persian)
Ally, M. (2005). Use of Mobile Devices in Distance Education. Paper presented at Mlearn 2005, October 25-28. Cape Town, South Africa.
Ameli, S., (2006). New and mobile individualism: the technology of individualism and identity, Global Media Journal, 1(1), 1- 3, [Persian].
Attewell, J. (2005). From research and development to mobile learning: Tools for education and training providers and their learners. In Proceedings of m Learn. Retrieved.
Baron, N. S., Hard, A. F., & Segerstad, Y. (2010). Cross-cultural patterns in mobile phone use: Public space and reachability in Sweden, the USA, and Japan. New Media & Society, 12 (1), 13-34.
Brown G. (2005). exploring m-learning: academic initiatives in north America and Europe. academic APL co-lab. [citd 2012 Agu 10]. Available from: http://www.adbi.org/conf-seminarpapers/
Cheon, J., Lee, S., Crooks, S. M&,.Song, J. (2012).An investigation of mobile learning readiness in higher education based on the theory of planned behavior.Computers&Education, 1054-1064.
Conner, M., Armitage, C.J. (1998). "Extending the Theory of Planned Behavior: A review and avenues for further research", Journal of applied social psychology, Vol.28, No.15, PP: 1429-1464.
Dabiri, F., Vahed Navan, A., (2011). Media and the development of environmental rights, Journal of Media Studies, 6 (13), 173-190. [Persian].
Davis, F.D. (1989), "Understanding Information Technology Usage: A Test Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, Vol. 13, No. 3, PP. 319-340.
Dillon A, Morris MG.1997. User Acceptance of Information Technology: Theories and Models. Annual Review of Information Science and Technology, 31: 3-32.
Donaldson, robinlee (2011). Student acceptance of mobile learning. PhD. Dissertation, Florida State University.
Enayati, T., Yazdan Panah Nozari, A., Behnamfar, R., Ghafari, Hamedani, S.S. (2014). Cell Phone Applicability in Providing Educational Content to Students, Scientific Journal of Education Strategies in Medical Sciences, 7 (2), 115-120. [Persian].
Fishbein M, Ajzen I. (1975). Belief, attitudes, intention and behavior: An introduction to theory and research", Reading, MA: Addison Wesley.George, J.F. (2004). The theory of planned behavior and internet purchasing.Internet Research, 14(3): 198-212.
Head, M., & Ziolkowski, N. (2010). Understanding Student Attitudes of Mobile Phone Applications and Tools: A Study Using Conjoint, Cluster and SEM Analyses. Proceedings of the 18th European Conference on Information Systems, Pretoria, South Africa, (best paper award finalist): ECIS2010-0133. Retrieved from http://web.up.ac.za/ecis /ECIS2010PR/ECIS2010/Content/Papers/0133.pdf
Homan, H. A., (2001). Understanding scientific methods in behavioral sciences, Tehran, Parsa publishing. [Persian].
Ishii, K. (2011). Examining the adverse effects of mobile phone use among Japanese adolescents. Keio Communication Review, 33, 69-83.
Jalali, D., (2011). Efficiency of Preventing Short Message Service on Students Attitudes and Self-Efficiency towards Drug Abuse, Quarterly Journal of Information and Communication Technology in Educational Sciences, 1(3), 93-111. [Persian].
Kafaei, S., Darafshi, F., Gaigani, S., (2009). Phone poll of Tehran people about mobile phone, Hamshahri Research Institute. [Persian].
Keegan, D., (2004). The incorporation of Mobile learning into mainstream education and training
Khorasani A, Abdolmaleki J, Zahedi H. (2012). Factors Affecting E-Learning Acceptance among Students of Tehran University of Medical Sciences Based on Technology Acceptance Model (TAM). Iranian Journal of Medical Education. 11(6), 664-673. (Persian)
Koole, Marguerite; McQuilkin, Janice.L and Ally, Mohamed. (2010). Mobile Learning in Distance Education: Utility or Futility?,Journal of distance education, Vol. 24. PP. 82- 592005/10/04/1404.mlearning.academic.initiatives/
Korucu, A. T. Alkan, A. (2011) Differences between m-learning (mobile learning) and e-learning, basic terminology and usage of m-learning in education. Procedia Social and Behavioral Sciences 15 (2011) 1925–1930. Available online at www.sciencedirect.com
Kripanont, N. (2010). Using a Technology Acceptance Model to investigate academic acceptance of internet. Journal of Business System, Govarnance and Ethics,1 (2), 13-28.
Leung, C. & Chan, Y., (2003). Mobile learning: A new paradigm in electronic learning
Liker JK, Sindi AA. (1997). User acceptance of expert systems: A test of the theory of reasoned action. Journal of Engineering and Technology Management, 14(2): 147-173.
Liu, G. Jiao, Z. (2010). The Design of Mobile Learning System for Teachers’ Further Education 2010 Second International Workshop on Education Technology and Computer Science;
Madden, T.J., Ellen, P.S., Ajzen, I. (1992). "A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action", Personality and Social Psychology Bulletin, Vol.18, No.3, pp.3-9.
Mansouri, S., Kaghazi, B., Khormali, N., (2010). Student Attitudes toward Domestics in Payame Noor University, The first mobile phone value added services conference in Iran. (Persian).
Manteghi, M., (2011). Studying the Use of Mobile Phone by Female and Male Students, Quarterly Journal of Information and Communication Technology in Educational Sciences, 1(2), 95-128. (Persian).
Mathieson, K. (1991). "Predicting User Intentions: Comparing The Technology Acceptance Model With The Theory of Planne Behavior", Information Systems Research, Vol. 2, No.3, PP. 173-191.
Mezei, G., Benyi, M., & Muller, A. (2007). Mobile phone ownership and use among school children in three Hungarian cities. Bioelectromagnetics, 28 (4), 309-15.
Mileva, N., Simpson, B. & Thompson, J. (2008). A Framework for Mobile Learning Pedagogy: A Critique underpined by Constructivism
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S., )2004(, “Consumer acceptance of online banking: an extension of the technology acceptance model”, Internet Research, 14)3(, pp. 224-235.
Quinn, C., (2000). mlearning Mobile, Wireless, In- Your- Pocket learning
Ramayah, T., & Aafaqi, B. (2007). Role of self-efficacy in e-learning usage amang students of a public university in Malaysia. Malaysian Journal of Library & Information Science, 9 (1) 39-57.
Rezayi rad, M. & Falah, E. (2015). The study of the effect of the cell phone in learning on motivation, self-awaress, and educational developments of students in Arabic course, Research in curriculum planning, 11(16), 1-13. (Persian)
Rohwedder, W. J.; Alm, A. (1994). Using computers in environmental education: Interactive Multimedia and on- Line Learning. Dubuque: Kendall/ Hunt publishing company.
Ruchter, M. Klar, B. Geiger, W. (2010). Comparing the effects of mobile computers and traditional approaches in environmental education, Computers & Education, 54,1054–1067.
Sadeghitabar. P, Shobeiri, S. M, Zakeri. Z, (2015). Evaluation of the factors affecting implantation of mobile learning at continuing medical education program, using the theory reasoned action, Academic Journal Electronic learning (Media), 6(2), 11-19. (Persian).
Santos, B. (2005). Semear outras soluções. Os caminhos da biodiversidade e dos conhecimentos rivais. Rio Janeiro: Editora Civilização Brasileira.
Sarani, H. & Aayati, M. (2014). The impact of mobile phone using (SMS) on learning english vocabulary and the student attitude, Research in curriculum planning, 11(13), 48-60. (Persian)
Saylan. C,& Blumstein. D. (2011). The Failure of Environmental Education and how we can fix it, University of California press.
Shikhshoaei, F. and Alavi, T (2007). Investigating the Factors Affecting the Acceptance of Information Technology by Librarians of Tehran Technical University Faculty Libraries, Library and Information, 10(3), 9-34. (Persian)
Shobeiri. S. M, Shamsi. S. Z, (2015). An Analysis of the Interdisciplinary Curriculum of the of Environmental Education in Higher Education, Interdisciplinary Studies in the Humanities, 7(2). 203- 221. [Persian].
Siebert, H (1998). Self- directed learning. In: Umweltbildung: Theoretische Konzepte- empirische Erkenntnisse- Praktische Erfahrungen (Beyersdorf, M.; Michelsen, G.; Siebert, H., Eds.), pp. 94-98, Neuwied: Luchterhand.
Tan, G. (2012). Determinants of mobile learning adoption: An empirical analysis. Journal of Computer Information System, 25(3).
Traxler, J. (2007). Defining, discussion, and evaluating mobile learning: The moving finger writes and having writ... International Review of Research in Open and Distance Learning, 8(2).
UNESCO; UNEP. (1976). The Belgrade charter. Connect: UNESCO- UNEP Environmental Education Newsletter.
Vallerand, R.J., Pelletier, L.G., Deshaies, P., Cuerrier, J.P.,& Mongeau, C. (1992). Ajzen and fishbein’s theoey of reasoned action as applied to moral behavior: A confirmatory analysis. Journal of Personality and Social Psychology, 62(1), 98-109
Vovula, N. & Sharples, M., (2002). KLeOs: A Personal ’Mobile, Knowledge and learning organization system.
Zarghami. M, Shobeiri, S. M, Sarmadi. M. R, (2015). Analyzed factors explain the willingness of students to use mobile learning technology through environmental education, Journal of Research in learning and virtual school, 2(6). 17-28. (Persian)
