Comparison of current and future attitudes of students and professors of the medical department in order to use mobile learning Case study: Mazandaran Islamic Azad University
Subject Areas : Research in Curriculum Planningmojtaba rezaei rad 1 , zahra Ahangari Ahangar kolaei 2
1 - Assistant Professor Department of Educational Technology, Sari Branch, Islamic Azad University, Sari, Iran
2 - Department of Educational Technology, Sari Branch, Islamic Azad University, Sari, Iran
Keywords: student, present attitude, medical department, Mobile Learning, PROFESSOR, future attitude,
Abstract :
The current research was conducted with the aim of comparing the current and future attitudes of students and professors of the medical department of Islamic Azad University of Mazandaran in order to use mobile learning in the teaching and learning process using a survey method.The statistical population was, first, all the professors, including faculty members and teaching staff in the medical department, and the second statistical population was all the students of the medical department in the academic year 1400-01, which was 175 people by stratified random sampling method. 310 professors and students were selected as a statistical sample. The measuring instrument was a researcher-made questionnaire, which was calculated to be 0.89 using the internal consistency method and Cronbach's alpha coefficient. At the confidence level of 95% (α=0.05), the one-group t-test showed that the present and future attitudes of students in using mobile learning are more than average and positive. Also, the present and future attitude of professors in using mobile learning is more than average and positive. The t-test for independent groups showed that the current attitude of students and professors in using mobile learning is not different, and currently students and professors of the medical department have the same attitude towards using mobile learning in the teaching and learning process. However, the future attitude of students and professors in the use of mobile learning is different and the future attitude of the professors of the medical department in order to use mobile learning in the teaching and learning process is more positive than the students' attitude.
Alexander, B. (2004). Going nomadic: mobile learning in higher education. Educause Review, 39(5), 28-35.
Ayati M, sarani H. (2012).The Impact of Teaching Students through Mobile Phone on Students’ Motivation and their Attitudes towards English Learning]. Journal of Technology of Education. 2012; 7(1): 13-21. [Persian].
Balasundaram, S. R., &Ramadoss, B. (2007). SMS for Question-Answering in the m-Learning Scenario. Journal of Computer science, 3(2), 119-121.
Cheng, S., Hwang, W., Wu, S., Shadiev, R., &Xie, C. (2010). A mobile device and online system with contextual familiarity and its effects on English learning on campus. Educational Technology & Society, 13(3), 93-109.
Chalak A, Kassaian Z. (2010).Motivation and Attitudes of Iranian Undergraduate EFL Students towards Learning English. GEMA Online™ Journal of Language Studies; 10(2): 37-56.
El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining mobile learning in the higher education landscape. Educational Technology & Society, 13(3), 12-21.
Fagan, M. H. (2019). Factors influencing student acceptance of mobile learning in higher education. Computers in the Schools, 36(2), 105-121.
Ghafourifard M. (2020).The promotion of Virtual Education in Iran: The Potential which Turned into reality by Corona virus. Iranian Journal of Medical Education.; 20 :33-34.
Gomarki, G, Behzadi, H. (2019). Measuring the attitude and level of preparation of university librarians in Mashhad regarding mobile learning and its tools. Library and Information Research Journal, 9(1), 289-308. [Persian].
Golden, S. A. R. (2017). Attitude of Students and Teachers towards E- Learning - An Analysis. Recent Research in Social Science & Humanities, 1, 5-10.
Gopal, R., Singh, V. and Aggarwal, A. (2021). Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19. Journal of Education and Information Technologies, (21), 1-25.
Hamzeh, N. (2021). Learning’s from the Impact of Online Learning on Elementary Students’ Mental and Social-emotional Well-being Amid the COVID-19 Pandemic. Master of Science in Education, Dominican University of California.
HedayatiKhoshmehr, A, Ghasemzadeh, A, Maleki, Sh. (2018). The degree of preparation of students and the attitude of professors towards the implementation of e-learning system. Information Management Sciences and Techniques, 4(4), 157-181. [Persian].
Hussein, Z. (2017). Leading to intention: The role of attitude in relation to technology acceptance model in e-learning. Procedia Computer Science, 105, 159-164.
Koole, M. (2009). A model for framing mobile learning. In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and
training (pp. 25-47). Edmonton, Alberta: AU Press.
Meraji M, Nourouziaval R, Marouzi P, Morshedlo Z, Mahmoodian S S.( 2020). Evaluating Students’ attitudes and usage e of mobile in educational activities at Paramedical Sciences School. jmed. 14 (4) :307-315. [Persian].
Mumtazian, A. & Rajab Dari, H. (2017). The relationship between acceptance and use of technology with mobile learning in accounting students. Teaching and learning technology, 3(12), 95-124. [Persian].
ZareBidaki M, RajabpourSanati A, Rahmanian Sharif Abad A. (2012).[Designing Mobile Electronic Books as a New Model of Providing Learning Contents for Medical Sciences]. Strides in Development of Medical Education. 2012; 9(1): 18-24.[Persian]
Rezaei Rad, M. Fallah, A. (2014). The effect of teaching through mobile phones on students' progress motivation, self-concept, and academic progress in the Arabic language course. Research in curriculum planning, 11(43), 1-13. [Persian].
Roschelle, J., Sharples, M., & Chan, T. W. (2005). Introduction to the special issue on wireless and mobile technologies in education. Journal of Computer Assisted Learning, 21, 159-161. doi: 10.1111/j.1365-2729.2005.00123.x.
Shabiri, Seyyed M; Shamsi Popkiade, S.Z.(2016). Evaluation of factors affecting the implementation of mobile learning in the environmental education program using the planned behavior model. Education Technology, 11(1) 51-61. [Persian].
Traxler, J. (2007). Defining, discussing and evaluating mobile learning: The moving finger writes and having writ… The International Review in Open and Distance Learning, 8(2), 1-13.
Wagner, E. D. (2005). Enabling mobile learning. EDUCAUSE Review, 40(3), 40-53.
Wang, Y.-S., Wu, M.-C., & Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. doi: 10.1111/j.1467-8535.2007.00809.x.
Williams, P. W. (2008). Assessing Mobile Learning Effectiveness and Acceptance. Theses of Doctor of Philosophy, George Washington University, Faculty of theSchool of Business. 31. Retrieved from http://etd.gelman.gwu. edu/10014.pdf
Lee, S & Kim, B.G (2009). Factors affecting the usage of intranet: A confirmatory study. Computers in Human Behavior, 25 (1), 191-201.
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