نوع مقاله: مقاله پژوهشی
نویسنده
استادیار گروه علوم تربیتی دانشگاه پیام نور، تهران، ایران.
چکیده
هدف پژوهش حاضر ارائه الگوی مفهومی کیفیت‌بخشی یادگیری الکترونیکی است و از روش آمیخته از نوع اسنادی تحلیلی و توصیفی پیمایشی و از طرح اکتشافی استفاده گردید. در پژوهش کیفی از بررسی پیشینه و الگوهای قبلی، کدگذاری و تکنیک دلفی استفاده و الگوی اولیه ارائه شد. در پژوهش کمی، پرسشنامه محقق ساخته در بین 360 نفر اعضاء هیئت‌علمی دانشگاه پیام نور اجرا گردید. تحلیل معادلات ساختاری الگو با نرم‌افزار pls بیانگر آلفای کرونباخ 35/83 است. مقدار پایایی مشترک متغیرهای الگو از مقدار متوسط واریانس استخراج شده بیشتر و مقادیر پایایی مرکب بزرگ‌تر از 7/0 و مقدار متوسط واریانس استخراج شده بزرگ‌تر از 5/0 است؛ لذا روایی و پایایی قابل قبول است. بررسی روایی واگرا با روش فورنل و لارکر بیانگر این است که میزان مقدار متوسط واریانس استخراج شده هر سازه بیشتر از واریانس اشتراکی بین آن سازه و سازه‌های دیگر و قابل قبول است. مقدار ملاک کلی برازش الگوی پژوهش حاضر برابر 40/0 است که نشان‌دهندة برازش مطلوب الگو و معناداری مسیر اثر هر سه متغیر تأثیرگذار بر کیفیت‌بخشی یادگیری الکترونیکی است.
کلیدواژه‌ها
عنوان مقاله [English]
Validation the conceptual model of qualifizing e-learning
نویسنده [English]
- nematollah salehi najafabadi
Assistant Professor, Department of Education, Payame Noor University, Tehran, Iran.
چکیده [English]
The aim of this study is to present a conceptual model of qualifizing e-learning and mixed methods of analytical documents and descriptive and exploratory design was used. In qualitative research background and previous patterns, coding and Delphi technique and the initial model was presented. In quantitative research, questionnaire among 360 faculty members PNU was conducted. Structural equation model analysis software is 35/83 pls suggest Cronbach's alpha. The joint reliability of the model variables (Average Variance Extracted) More and values (Construct Reliability) greater than 0.7 and (Average Variance Extracted) is greater than 0.5 is therefore acceptable validity and reliability. Fornell and divergent validity with Larkr proves that the (Average Variance Extracted) any more than the variance shared between engineering structures and other structures and is acceptable. Value (GOF) of 0.40, which indicates a good fitness role model to study the effect of each variable significantly affecting the qualifizing of e-learning is PNU.
کلیدواژه‌ها [English]
- e-learning
- model validation
- qualifizing
AbuSneineh, W., & Zairi, M. (2010). An evaluation framework for e-learning effectiveness in the Arab world. [International Encyclopedia of Education (Third Edition). Pages 521-535.Bourne, J. & Moore, J. (Eds.), (2002). Elements of quality in online education (Vol. 3). Needham, MA: Sloan-C.
Afifi MK, Alamri SS. Effective principles in designing e-course in light of learning theories. [Turk Online J Distance Educ 2014;15(1):128-43
Barbera.E(2004). Quality in virtual education environments. British Journal of Educational Technology. 35(1). 13–20
Dovalli, S, Montazer, Gh.IA, (2011), An Information Architecture Framework for Establishing a Virtual University in Iran, [Iranian research institute for science and technology], vol.26, no.2, pp: 413-440. [persian]
Elida T, Nugroho W, Suyudi I. Cost Effectiveness of Web based Learning. Procedia-Social and Behavioral Sciences. 2012;Vol:65:1071-6
Ebrahimzadeh I. (2007), Transition from Traditional Distance Learning to Online Learning at PNU: Innovation and Challenge of Change, (A Case Study). [Quarterly Journal of Research and Planning in Higher Education].; 13 (1):113-134. [Persian]
Ebrahimzadeh I & Masoomifard M. (2017) Studying the Various Types of Interaction in the e-learning environment with Learning Quality in Virtual Campuses. [Research in Curriculum Planning]. Vol 13. No 25 (continus 52). Spring 2017, Pages 47-62. [Persian]
Farasatkhah M, (2001), Quality Challenge in Iran's Higher Education,agah publisher. [Persian]
Rahmani R, Fathivajargah K. (2008), Quality Assessmentin Higher Education. [scientific journal of Education. Strategies in Medical Sciences.] 1(1): 28-39. [Persian]
Golzari, Z, Kiamanesh, A, Ghorchian, N. Gh & Ghafari, P. (2010), Development and accreditation of a model for internal evaluation of e-learning courses. [Journal of Higher Education Curriculum Stufies], (Issue 1), 185-160. [Persian]
Huang YM, Huang YM, Huang SH, Lin YT. A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease-of-use. Computers & Education. 2012;58(1):273-82
Jafari, P, (2002) , Study of virtual universities in order to provide an appropriate model for
higher education, [Thesis Submitted for the Award of Ph.D in educational administration], azad university in Tehran, iran. [Persian]
Javadi Bora, M, Ebrahimzadeh, I, Farajollahi, M, Sarmadi, M,R (2012) The Assessment of Quality and Modeling Educational Services In Payame Noor University, [Quarterly journal of information and communication technology in educational sciences],vol.2, no.1. [Persian]
Khan, Badrul H. 2005. Learning Features in an Open, Flexible, and Distributed Environment. AACE Journal (Association for the Advancement of Computing In Education Journal), EDITLIB (Education & Information Technology Digital Library) 13(2), 137-153.
khalifeh, Gh, Razavi, S, (2012), Quality Assurance and Evaluation in Electronic Learning Using the Importance-Performance Analysis Model, Volume 3, Number 1. [Persian]
Lanzilotti, R., Ardito, C., & Costabile, M. F., & De Angeli, A. (2006), e LSE Methodology: a Approach to the e-Learning Systems Evaluation. Educational Technology & Systematic Society, 9 (4), 42-53
Lee, J. & Dziuban, C. (2002), Using quality assurance strategies for online programs. Educational Technology Review, 10(2), 69-78.
Lanzilotti, R., Ardito, C., & Costabile, M. F., & De Angeli, A. (2006), e LSE Methodology: a Approach to the e-Learning Systems Evaluation. Educational Technology & Systematic Society, 9 (4), 42-53
Lam P, McNaught C, Lee J, Chan M. Disciplinary difference in students’ use of technology, experience in using eLearning strategies and perceptions towards eLearning. Comput Educ. 2014;73:111-20
Liaw SS, Huang HM. Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education. 2013;60(1):14-24
Masoumi fard, M, (2013), Quality Evaluation and Quality Excellence in Virtual Universities, [Thesis Submitted for the Award of Ph.D in distance education planning Payame Noor University]. [Persian]
Ozkan, s, Koseler, R. (2009). Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation “Volume 53, Issue 4, ISSN: 0360- 1315, Pages 1285-1296.
Ramayah, T. Noor Hazlina, A. & May-Chiun, Lo. (2010), The role of quality factors in intention to continue using an e-learning system in Malaysia. Procedia Social and Behavioral Sciences, 2, 5422-5426.
Synytsya. K & Rovinskyi, D. (2004), Distance Courses Quality: A Learner’s View. Proc. of Fourth IEEE ICALT'04, Joensuu, Finland, 1080-1089.
Jamali tazekand. M & Fathi vajarga. K & Arefi. M. (2017). Beyond E-learning: Conceptualizing Web 2 and its indication for introducing a pattern of E-learning curriculum. [Research in Curriculum Planning]. Vol 13. No 24 (continus 51). Winter 2017, Pages 1-20. [Persian]
Volery, H. Lord, D. (2000), Critical success factors in online education. International Journal of Educational Management, Vol. 14 Iss: 5, pp.216 – 223.
Yaghobi J, (2010), the analysis of effecting factors on virtual education acceptance. [the International Conference on Education and E-Learning,tehran, iran]. [Persian]
Zarif Sanaee N. (2011), Assessing the criteria for the quality and effectiveness of e-Learning in higher education. [Media], 1 (3) 1 (3):24-32. [Persian]
Zhang, D. (2002), Media structuration—Towards an integrated approach to interactive multimedia-based E-Learning. Ph.D. dissertation. The University of Arizona.
Zhang, W and Cheng, v.L. (2012), Quality Assurance in E-Learning: PDPP Evaluation Model and its Application. The international review of research open and distance learning. Vol. 13. No. 3. pp. 66-73
