واکاوی مولفه های مناسب جهت ارایه الگوی کیفیت بخشی یادگیری الکترونیکی (مطالعه موردی: دانشگاه پیام نور)

محورهای موضوعی : آموزش و پرورش

نعمت اله صالحی نجف آبادی ¹

1 - استادیار گروه علوم تربیتی دانشگاه پیام نور. تهران. ایران. ص پ 19365-3697

تاریخ دریافت : 1394/11/25 تاریخ پذیرش : 1397/12/15 تاریخ انتشار : 1397/12/01

کلید واژه: "واکاوی مولفه ها", "مدل مفهومی", "کیفیت بخشی", "یادگیری الکترونیکی",

چکیده مقاله :

هدف پژوهش حاضر واکاوی مولفه های مناسب جهت ارایه الگوی مفهومی کیفیت بخشی یادگیری الکترونیکی می باشد. روش پژوهش، آمیخته از نوع اسنادی تحلیلی و توصیفی پیمایشی و از طرح اکتشافی استفاده گردید. در مرحله کیفی، پیشینه و الگوهای قبلی بررسی و با روش کد گذاری، کدهای باز استخراج و اطلاعات سازماندهی گردیدند. جهت تایید صحت مولفه ها از تکنیک دلفی استفاده، 3 عامل اصلی (مقوله)، 17 عامل فرعی(ملاک) و 160 گزاره مفهومی(شناسه) استخراج و الگوی مفهومی پژوهش ارائه گردید. در مرحله کمی، از جامعه آماری اعضاء هیات علمی دانشگاه پیام نور با روش کوکران نمونه 360 نفری انتخاب و پس از تعیین روایی محتوایی و صوری، پرسشنامه محقق ساخته اجرا گردید. روایی سازه پرسشنامه بیانگر آلفای کرونباخ 0.769 می باشد که نشان از قابلیت اعتماد آنست. ارزیابی الگوی پیشنهادی با نرم افزار PLS بیانگر آلفای کرونباخ 8335/0 است. مقدار پایایی مشترک متغیرها از مقدار (AVE) بیشتر و (CR) بزرگتر از 0.7 و (AVE) بزرگتر از 0.5 می باشد لذا روایی و پایایی قابل قبول می‌باشد. بررسی روایی واگرا با روش فورنل و لارکر بیانگر قابل قبول بودن آنست. مقدار (GOF) الگوی پژوهش برابر 0.40 است که نشان دهنده تطابق داده ها با الگو و برازش مطلوب آن است.

چکیده انگلیسی:

This study aims to analysis appropriat components an qualifizing e-learning for present conceptual model. A mixed methodology comprising the documentary, analytical, descriptive survey, and heuristic methods was implemented. During the qualitative stage, the background and previous studies were examined and the open codes extraction and the data organization were conducted through a coding method. To assess the viability of the components, the delphi technique was used for extracting 3 categories, 17 criteria, and 160 statements. Subsequently, the conceptual model was proposed. In the quantitative stage, the selected statistical population comprised the faculty members of PNU. Using the Cochran method, 360 members of this statistical population were selected, and, upon ascertaining the content and face validity, the researcher’s questionnaire was completed by the sample population members. The construct validity of the instrument described a Cronbach’s alpha of 0.769, thus establishing the reliability of the instrument. the evaluate proposed model via softwar PLS indicated 0/8338 Cronbach's alpha. The joint reliability variable of value (AVE) more and (CR) greater than 0.7 and (AVE) is greater than 0.5 is therefore acceptable validity and reliability. Fornell and Larkr divergent validity proves that is acceptable. Value (GOF) pattern is equal 0.40,which indicates a good agreement as well as fitting was found to exist between the proposed model and the actual data.

منابع و مأخذ:

• 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


• Conn, S. R., Roberts, R. L., & Powell, B. M. (2009). Attitudes and Satisfaction with a Hybrid Model of Counseling Supervision. Educational Technology & Society, 12 (2), 298–306


• 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


• Elida T, Nugroho W, Suyudi I. Cost Effectiveness of Web based Learning. Procedia-Social and Behavioral Sciences. 2012;Vol:65:1071-6


• Ewing. J and Miller.D(2002). A framework for evaluating computer supported collaborative learning. Educational Technology & Society 5(1). 112-118


• 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                  


• 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                                     


• 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                                                            


• 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


• Khan, Badrul H. 2005. Learning Features in an Open, Flexible, andDistributed 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


• 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                                                                                                  


• 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.


• Oliver, R. (2001), assuring the quality of online learning Australian higher education. In M.Wallace, A. Ellise & Newton (Eds). Proceeding of moving online 11 conferences (pp 222-231). Lismore: southern Cross University


• 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.


• Rahmani R, Fathivajargah K. (2008), Quality Assessment in Higher Education scientific journal of Education. Strategies in Medical Sciences. 1(1): 28-39            


• Rezazadeh,A, Davali,A,(2014),  Structural Equation Modeling with PLS, Edition: 1, Publisher: Jahade Daneshgahi, Tehran, Iran


• Synytsya. K & Rovinskyi, D. (2004), Distance Courses Quality: A Learner’s View. Proc. of Fourth IEEE ICALT'04, Joensuu, Finland, 1080-1089.


• Volery, H. Lord, D. (2000), Critical success factors in online education. International Journal of Educational Management, Vol. 14 Iss: 5, pp.216 – 223.


• Valcheva, D. & Todorova, M. (2005), Defining a system of indicators for evaluation the effectiveness of E-learning. International conference on computer systems and technologies- compsystech, V:14


• Yaghobi J,(2010), the analysis of effecting factors on virtual education acceptance the International Conference on Education and E-Learning,tehran, iran                     


• 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                                             


• 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