مدل عِلّی بسط یافته تمایل رفتاری به یادگیری تحت وب: نقش جهت‌گیری هدف یادگیری و یادگیری خودتنظیمی

نوع مقاله: پژوهشی

نویسنده

استادیار، گروه علوم تربیتی، دانشگاه پیام نور

چکیده

هدف از پژوهش حاضر، ارائة مدل عِلّی بسط یافته تمایل رفتاری به یادگیری تحت وب با تأکید بر نقش جهت‌گیری هدف یادگیری و یادگیری خودتنظیمی است. جامعة آماری این پژوهش شامل کلیة دانشجویان دانشگاه پیام نور استان فارس است که در سال تحصیلی 93-94 مشغول به تحصیل بوده‌اند. از طریق نمونه‌گیری تصادفی طبقه‌ای تعداد 238 از جامعه انتخاب گردید. در این پژوهش از پنج ابزار اندازه‌گیری استفاده گردید که شامل جهت‌گیری هدف یادگیری چاتزلگو و دیگران (2009)، قصد استفاده از یادگیری تحت وب سارمی نیو (2009)، درک از سودمندی و درک از سهولت گاد عبدل (2008)، نگرش به یادگیری تحت وب شین (2007)، یادگیری خودتنظیمی در یادگیری بر خط و یادگیری تحت وب بارنارد و همکاران (2008) که مقیاس اندازه‌گیری همگی آن‌ها بر اساس طیف پنج‌گزینه‌ای لیکرت از کاملاً موافق تا کاملاً مخالف است.
نتایج پژوهش نشان داد مدل مفهومی موردنظر در پژوهش با توجه به شاخص‌های نیکویی بر ارزش از نظر آماری مورد تأیید قرار گرفت. همچنین جهت‌گیری هدف یادگیری به‌طور غیرمستقیم و معناداری از طریق درک از سهولت و سودمندی و نگرش بر قصد استفاده از یادگیری تحت وب تأثیر دارد. به علاوه متغیر یادگیری خودتنظیمی از طریق نقش واسطه‌ای درک از سهولت و سودمندی و نگرش به یادگیری تحت وب بر قصد استفاده از یادگیری تحت وب هم مستقیم و هم غیرمستقیم تأثیر دارد. به علاوه درک از سهولت از طریق درک از سودمندی و نگرش بر قصد استفاده‌های یادگیری تحت وب تأثیر مستقیم و غیرمستقیم معناداری دارد.

کلیدواژه‌ها


عنوان مقاله [English]

The Extended Causal model of Behavioral Intention to Web Based Learning: The Role of Learning Goal Orientation and Self-Regulated Learning

نویسنده [English]

  • MohammadHasan Seif
چکیده [English]

The aim of this research is to present the extended casual model of behavioral Intention to web based learning with emphasis on the role of learning goal orientation and self-regulated learning.
The population consisted of all students of Fars PNU in academic year 93-94. The sample was 328 students those selected by using categorical random sampling method.
In this research five measuring instruments were used that including; Chatzoglou et al (2009) learning goal orientation, intention to use web based learning from saremineu (2009), perceived usefulness and perceived ease of use from god abdel (2008), attitude to use web based learning From shin (2007), self - regulation Learning in web based learning and online learning from Barnard et al (2008). All of these questionnaires are prepared in five point Likert Scale from strongly disagree to strongly agree.
The results showed that the conceptual model of the research, confirmed according to model fit indices. Also, learning goal orientation has an indirect significant impact on intention of web based learning via perception of ease and usefulness, and attitude toward web based learning.
In addition, self - regulated learning have direct and indirect significant influence on intention to use web based learning via mediator role of perceived ease of use, perceived usefulness and attitude toward web based learning. Also perceived ease of use has a direct and indirect influence on intention to use web based learning via mediator role of perceived usefulness and attitude toward web based learning.

کلیدواژه‌ها [English]

  • Web based Learning
  • Self -Regulated Learning
  • Learning Goal Orientation
  • Expanded Model
Abbasi, M.Sh.; Irani, Z.; Chandio, F.H. (2010). Departments of Social and Institutional Beliefs about Internet Acceptance within Developing Country's Context: A Structural Evaluation of Higher Education Systems in Pakistan, European, Mediterranean & Middle Eastern conference on Information systems. April 12-13, Abu Dhabi, UAE.

Allen, I.E. & Seaman, J. (2010). Learning on demand: Online education in the United States, 2009. Babson Survey Research Group. Retrieved January 26,2011,from http://sloanconsortium-.org/publications/survey/pdf/learningondem-and.pdf.

Bahreininejad, A. (2006). E-Learning and associated Issvesinivan. International Journal of distance education concho-logist vol.4, Issue4.

Barnard, Lucy.; Lan,W.; Crooks, S.M and Paton,V.O. (2008). The relation ship between epistemological beliefs and Self regulated learning Skills in the online course environment. MERLOT Journal of online learning and teaching. Vol4, No.3.

Bauk, Sanja; Kopp, Michael. (2014). Estimating Students’ Satisfaction with Web Based Learning System in Blended Learning Environment. Education Research International. Article ID 731720.

Chakraborty, I.; Hu, P.J. & Cui, D. (2008). Examining the effects of cognitive style in individual’s technology use decision making. Decision Support Systems, 45, 228-421, doi:10.1616/j.dss.2007.02.003.

Chatzoglou, P.D.; Sarigiannidis, L.; Vraimaki, E. & Diamantidis, A. (2009). Investigating Greek employees’intention to use web-based training. Journal of Computers & Education, 53, 877-889. doi:10.1016 /j.compedu. 2009.05.007.

Chen, Y.C.; Chen, C.Y.; Lin, Y.C. & Yeh, C.R. (2007). Predicting College Student Use of Learning Systems : An Attempt to Extend Technology Acceptance Model, Retrived From: http://www.gwu-.eduturner.

Deejring, Kwanjai. (2015). The validation of web - based learning using collaborative learning techniques and a scaffolding system to enhance learners’ competency in higher education. Procedia - Social and Behavioral Sciences .174.

Gad Abdel, Ahmad. (2008). Modeling students' intention to adopt e-learning: A case from Egypt. The Electronic Journal of Information Systems in Developing Countries. Vol.34.

Griffin, J. (2008). Distance learning technologies and writing center conferences: A comparative analysis of two methods for delivering consultations at a distance. Ph.D. dissertation, University of Louisville, United States – Kentucky.

Hashim, J. (2008). Factors influencing the acceptance of web-based training in Malaysia: Applying the technology acceptance model. International Journal of training and Development, 12(4), 253-264.

Hsia, J. (2007). An enhanced technology acceptance model for e-learning systems in high-tech companies, proceedings of the WSEAS international conference on Distance learning and web Engineering.

Johnson, R.D and et al. (2007). An empirical examination of factors contributing to creation of successful e-learning environment. Human Computer Study.

Jong, D.; Wang, T.S. (2009). Student Acceptance of Web-Based Learning System, International Symposium on web information and Application (WISA'09), China, May 22-24, 533-536.

Kaplan, A. & Maher, M.L. (1999). Enhancing the Motivation of African-American Students: An Achievement Goal Theory Perspective. Journal of Negro Education. 68, 23-41.

Karaali, D.; Gumussoy, C.A.; Calisir, F. (2011). Factors affecting the intention to use a web - based learning system among blue - collar workers in the automotive industry. Computers in Human Behaviour, 27, 343-354. doi:10.1016/-j.chb. 2010.08.012.

Lim, K.S.; Lim, J.S. & Heinrichs, J.H. (2008). Testing an integrated model of e-shopping web site usage. Journal of Internet commerce, 7(3), 291-312, doi: 10.1080/15332860802550336.

Mastrora, Maslin. (2007). Technology acceptance Model and elearning. Journal of Information and Management, 46, 221-232.Available from www.elsev-ier.com/locate/im.

Muis, K.R. & Franco, G.M. (2009). Epistemic beliefs: Standards For Self regulated learning. Contemporary Educational Psychology. (34) pp.306-318.

Nichols, M. (2010). Student perceptions of support services and the influence of targeted interventions on retention in distance education. Distance Education, 31(1), 93-113. Retrieved July 24, 2010, from Research Library.

Rovai, A.P. (2006). A practical framework for evaluating online distance education education programs. Internet and Higher education.6:109-124.

Ruize, M.D & et al (2008). Adaptation in current e - learning systems. Computer standard and interfaces.30:62-70.

Samiento, Pablo Manual Cardenas. (2009). The Study on Behavioral Intention of Use Towards a Clinical Decision Support Systems: A Casa in CNS La Paz- Bolivia, Master thesis, National Chang Kung University.

Scott, J.E.; Walczak, S. (2009). Cognitive engagement with a multimedia EPR training tool: Assessing computer self-efficacy and technology acceptance. Journal of Information and Management, 46, 221-232. Available from www.elsevier.com/locate/im

Strevy, S. (2009). Persistence of students in RNBS completion online programs. Ph.D. dissertation, Indiana University, United States - Indiana.

Sung, J. & Yun, Y. (2010). Toward a More Robust Usability Concept with Perecived Enjoyment in the Context of Mobile Multimedia Service, International Journal of Human computer Interaction, 1(2), 12-32.

Sunger, Mustafa. (2007). An analysis of self efficacy beliefs, epistemological beliefs and attitude toward science. A dissertation Submitted ti the graduate School in middle east technical university.

Tandi Lwoga, Edda. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of Education and Development using Information and Communication Technology. Vol. 10, Issue 1.

Tarhini, Ali; Hone, Kate; Liu, Xiaohui. (2013). User Acceptance Towards Web-based Learning Systems: Investigating the role of Social, Organizational and Individual factors in European Higher Education. Procedia Computer Science 17.

TEKEDERE, Hakan; MAHİROGLU, Ahmet. (2014). The Effect of Locus of Control in Web Based Problem Based Learning on Attitute to Web Based and Problem Based Learning. Education and Science. Vol. 39, No 171.

Terzis, V. & Econmides, A.A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56, 1032-1044. doi:10.1016/j.compedu. 2010.11.017.

Wang, S.L & P.Y.Wu. (2008). The role of feedback and self efficacy on web based learning. The social cognitive perspective. Computer & Education.51:1589-1598.

Wangpipatwong, S.; Chutimaskul, W. & Papasratorn, B. (2008). Understanding citizens’ continuance intention to use e-government website: A composite view of technology acceptance model computer self - efficacy. Electronic Journal of E- Government, 6(1), 55-64.

Wei, L.; Zhang, M. (2008). The impact of internet Knowledge on college students’ intention to use the internet. Information Research,13(3), 348. Retrieved August 13, 2008 from http://InformationR.net/ir /13-3/paper 348.html

Wong, Y.S. (2003). Assessment of learner satisfaction with synchronous electronic learning systems. Information & Management.

Yang, H.D.; Moon, Y. & Rowley, C. (2009). Social Influence on Knowledge Worker's Adoption of Innovative Information Technology, Journal of Computer Information System, 10, 25-36.

Yuen, A.H.K. & Ma, W.W.K. (2011). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 3(36), 229-243.