نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیئت علمی، گروه کتابداری و اطلاع‌رسانی پزشکی، دانشکده پیراپزشکی، دانشگاه علوم پزشکی جندی شاپور اهواز، اهواز، ایران.

2 عضو هیئت علمی، گروه کتابداری و اطلاع رسانی پزشکی، دانشکده پیراپزشکی، دانشگاه علوم پزشکی تهران، تهران، ایران.

3 دانش آموخته کارشناسی ارشد، گروه کتابداری و اطلاع رسانی پزشکی، دانشکده پیراپزشکی، دانشگاه علوم پزشکی جندی شاپور اهواز، اهواز، ایران.

چکیده

آموزش الکترونیک نقش حیاتی را در فرایند یادگیری- یاددهی ایفا می­کند و لازم است که در پژوهش­ها به آن توجه شود. برای رسیدن به این هدف لازم است پذیرش آموزش الکترونیک مورد بررسی قرار گیرد. بنابراین، مطالعه حاضر پذیرش آموزش الکترونیک در میان دانشجویان تحصیلات تکمیلی دانشگاه علوم پزشکی جندی شاپور اهواز را بر اساس مدل پذیرش فناوری مورد بررسی قرار می­دهد. مطالعه حاضر یک مطالعه همبستگی-توصیفی است که به روش پیمایشی انجام شد. 330 دانشجوی تحصیلات تکمیلی به روش نمونه­گیری تصادفی طبقه­ای انتخاب شده و در پژوهش شرکت داده شدند. داده ها با استفاده از پرسشنامه گردآوری شد و با استفاده از آمار توصیفی و استنباطی در نرم افزار آماری SPSS تحلیل شدند. یافته­ها نشان داد که مدل پذیرش فناوری از اعتبار و اطمینان لازم در میان دانشجویان تحصیلات تکمیلی دانشگاه علوم پزشکی جندی شاپور برخوردار است. برداشت ذهنی از آسانی استفاده، برداشت ذهنی از مفید بودن آموزش الکترونیک، نگرش دانشجویان نسبت به استفاده از آموزش الکترونیک و قصد استفاده از آموزش الکترونیک متغیرهایی هستند که استفاده واقعی از آموزش الکترونیک را به طور مثبت تحت تأثیر قرار می­دهند. با توجه با این واقعیت که نگرش نسبت به استفاده از آموزش الکترونیک توان بیشتری نسبت به سایر متغیرها در مدل پذیرش فناوری را داراست، تأکید بر نگرش های مثبت دانشجویان نسبت به آموزش الکترونیک می­تواند باعث سهولت پذیرش آن در میان آنها شده و برون داد یادگیری آنها را ارتقا بخشد.
 

کلیدواژه‌ها

عنوان مقاله [English]

E-Learning Acceptance among Postgraduate Students in Ahvaz Jundishapur University of Medical Sciences

نویسندگان [English]

  • Fatemeh Baji 1
  • Fereydoun Azadeh 2
  • Zivar Sbaghinejad 1
  • Amir Zalpour 3

1 Faculty member, Department of Medical Library and Information Science, School of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

2 Faculty member, Department of Medical Library and Information science, School of Paramedical Sciences, Tehran Medical University, Tehran, Iran.

3 M.Sc. Student in Medical Library and Information Science, Department of Medical Library and Information Science, School of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

چکیده [English]

E-learning plays a crucial role in teaching and learning communities to be noticed to study, and achieving this ideal requires investigating acceptance of e-learning.  hence this study investigated E-learning acceptance among postgraduate students studing in Ahvaz Jundishapur University of Medical Sciences based on Davis Technology Acceptance Model. This descriptive-correlational study that was conducted by survey method. 330 postgraduate students were selected through stratified random sampling method to participate in the study. Data were collected using questionnaire through self-report; and then data were analyzed using both descriptive statistics and inferential statistics through SPSS software. Accordingly, the outcomes revealed adequate validity and reliability for the application of Technology Acceptance Model among participants. Perceived ease of use, usefulness about E-learning, students’ attitudes toward E-learning, and the intention to use E-learning were the factors that affect E-learning’s acceptance and actual positively use. Considering the fact that attitudes toward E-learning had more predictive power than other variables of technology acceptance model, emphasis on students’ favorable attitudes toward E-learning can be effective in accelerating its acceptance and leadsto improve students' learning outcomes.
 

کلیدواژه‌ها [English]

  • E-learning؛ Technology Acceptance Model
  • Ahvaz Jundishapur University of Medical Sciences
  • Medical education
Adewole-Odeshi, E 2014, Attitude of students towards E-learning in South-West Nigerian universities: an application of technology acceptance model, Library Philosophy and Practice, Pp.01.
Ahmadi, F 2011, The evaluation of a blended e-learning program for nursing and midwifery students in Tehran University of Medical Sciences, Iranian journal of medical education, Vol.10, No.4, Pp.398-409. [In Persian].
Alston, AJ, Miller, WW, Williams, DL 2003, The future role of instructional technology in agricultural education in North Carolina and Virginia. Journal of Agricultural Education, Vol.44, No.2, Pp.38-49.
Bates, AT 2005, Technology, e-learning and distance education, Routledge.
Davis, FD 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly, Pp.319-340.
Davis, FD, Bagozzi, RP, Warshaw, PR 1989, User acceptance of computer technology: a comparison of two theoretical models, Management science, Vol.35, No.8, Pp.982-1003.
Dečman, M 2015, Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender, Computers in human behavior, Vol.49, pp.272-281.
Dlalisa, SF, Van Niekerk, B 2015, September. Factors affecting the post implementation adoption and usage of blackboard amongst academics at dut. In 9th Annual teaching and learning in higher education conference.
Dolani, A, Hariri, N, Babolhavaeji, F 2016, Meta-analysis of Technology Acceptance Studies in Iran, National Library & Information Organization, Vol. 26, No.1. Pp: 145-162.
Farhadi R 2005, E-learning A new paradigm in the age of information.  Iranian Journal of Information Processing and Management, Vol.21, No.1, Pp.49-66.  [In Persian]
Fishbein, M, Ajzen, I 1980, Understanding attitudes and predicting social behavior, Pearson.
Ho, CL, Dzeng, RJ 2010, Construction safety training via e-Learning: Learning effectiveness and user satisfaction, Computers & Education, Vol.55, No.2, Pp.858-867.
Hussein Z 2017, Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning, Procedia Computer Science, Vol.105, Pp.59-64.
Ibrahim R, Leng N, Yusoff R, et all 2017, E-learning acceptance based on technology acceptance model (TAM), Journal of Fundamental and Applied Sciences, Vol.9, No. 4. Pp.871-89.
khodadad Hosseini S, Noori A, Zabihi M 2013, E-learning acceptance in higher education: Application of flow theory, technology acceptance model & e-service quality, Quarterly Journal of Research and Planning in Higher Education, Vol.19, No.1, PP.111-36.
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, Vol.11, No.6, Pp. 664-673. [In Persian]
Kotrlik, JW, Redmann, DH, Douglas, BB 2003, Technology integration by agriscience teachers in the teaching/learning process, Journal of Agricultural Education, Vol. 44, No.3, Pp.78-90.
Liaw, SS 2008, Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system, Computers & education, Vol. 51, No.2, Pp.864-873.
Mirzamohammadi, MH 2017, The Feasibility of E-Learning Implementation in an Iranian University, Electronic Journal of e-Learning, Vol.15, No.5, pp.423-432.
Motstaghi, S, Ogbehi, A, Aghakasiri, Z et all 2013, Evaluation of the virtual courses from students and faculty members of Khajeh Nasir Toosi University viewpoints based on SCORM standard, Educational development of Jundishapur, Vol.3, No.2, Pp. 11-20.
Paola Torres Maldonado, U, Feroz Khan, G, Moon, J et all 2011, E-learning motivation and educational portal acceptance in developing countries, Online Information Review, Vol.35, No.1, Pp.66-85.
Ratna, PA, Mehra, S 2015, Exploring the acceptance for e–learning using technology acceptance model among university students in India, International Journal of Process Management and Benchmarking, Vol.5, No.2, Pp.194-210.
Smart, KL, Cappel, JJ 2006, Students’ perceptions of online learning: A comparative study, Journal of Information Technology Education: Research, Vol.5, No.1, Pp.201-219.
ŠUmak, B, HeričKo, M, PušNik, M 2011, A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types, Computers in human behavior, Vol.27, No.6, Pp.2067-2077.
Tarhini, A, Hone, K, Liu, X 2014, Measuring the moderating effect of gender and age on e-learning acceptance in England: A structural equation modeling approach for an extended technology acceptance model, Journal of Educational Computing Research, Vol.51, No.2, Pp.163-184.