Course Management Systems (CMS) has been widely used as a part of academic systems in higher education. There are commercial course management system such as Blackboard, WebCT and eCollege (Ullman & Rabinowitz, 2004). On the other hand, Moodle is one of the open source course management system for online learning. Moodle “has great potential to create a successful e-learning experience by providing a plethora of excellent tools that can be used to enhance conventional classroom instruction, in hybrid courses, or any distance learning arrangements” (Brandl, 2005,p.22). Compared to Blackboard,  it is found that every module or function except for the discussion board of Moodle was favored by course participants (Unal & Unal, 2011). However, it is known that if the user fail to use system no matter what it is, commercial or open source, it will not be fully utilized. Hence, it needs to be adapted  by the students and the students’ perception regarding to the use and acceptance of the system should be investigated. Perceptions are defined as an actual interaction between instructional conceptions and a peculiar learning environment. Assessing perceptions can give information about actual use of learning environment (Lowyck, Elen & Clarebout, 2005). Technology Acceptance Model (TAM) was developed by Davis (1989) aims to explain the effects of system factors that has influence on user acceptance of information system  through user perception (Suh & Han, 2002; Lingyun & Dong, 2008). TAM has become one of the most widely used models in IS research. The reason for this is that it is understandable and simple (King & He, 2006). In the context of the Moodle,Pavlič, Pušnik, Heričko and Šumak (2011) proposed a thoretical model of technology acceptance model based on qualitaitve findings.In another study, the factors affecting acceptance and use of Moodle was investigated by TAM and it is found that the actual use of Moodle depends behavioural intentions and attitudes toward using Moodle (Šumak, Heričko, Pušnik & Polančič ,2011). In the current study, to investigate the students’perceptions about using Moodle, the technology acceptance (TAM) research model tested by using the structural equation modelling (SEM) approach. The following hypothesis were guided the current study,

·         There is a positive relationship between perceived ease of use and student’s attitudes towards using Moodle.

·          There is a positive relationship between perceived ease of use and student’s Moodle usage intention

·         There is a positive relationship between perceived usefulness and student’s attitudes towards using Moodle.

·          There is a positive relationship between perceived usefulness and student’s Moodle usage intention

·         There is a positive relationship between attitude toward use and student’s Moodle usage intention

·         There is a positive relationship between attitude toward use and student’s actual use of Moodle

·         There is a positive relationship between behavioral intention and student’s actual use of Moodle

Brandl, K. (2005). ARE YOU READY TO "MOODLE"?, Language Learning & Technology, 9,16-23. Davis, F.,D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13,319-340. King, W. & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, vol. 43,740-755. Lingyun, Q. & Dong, L. (2008). Applying TAM in B2C E-Commerce Research: An extended model, Tsinghua Science & Technology, 13, 265-272. Lowyck, J., Elen, J. & Clarebout, G. (2004). Instructional conceptions: Analysis from an instructional design perspective. International Journal of Educational Research, 41, 429-444. Pavlič,L.,Pušnik, M., Heričko,M., & Šumak, B.(2011). Qualitative Analysis: Identification of the Factors Influencing e-Learning System Acceptance. Paper presented at The Third International Conference on Mobile, Hybrid, and On-line Learning. Suh, B., & I. Han. (2002). Effect of trust on customer acceptance of Internet banking, Electronic Commerce Research and Applications, 1, 247-263. Šumak, B., Heričko,M.,Pušnik, M., & Polančič, P. (2011). Factors Affecting Acceptance and Use of Moodle: An Empirical Study Based on TAM, Informatica, 35, 91-100. Ullman, C., & Rabinowitz, M. (2004). Course management systems and the reinvention of instruction. THE Journal. Retrieved January 25, 2011 from www.thejournal.com/articles/17014 Unal, Z., & Unal, A. (2011). Evaluating and Comparing the Usability of Web-based Course Management Systems, Journal of Information Technology Education, 10, 19-38.