B1 Level Undergraduate EFL Students’ Acceptance of Moodle Technology

Year 2017, Volume: 3 Issue: 1, 40 - 51, 24.04.2017

Rıdvan Türkmen

Abstract

Günümüzde çok sayıda Eğitim Yönetimi Sistemi bulunmaktadır. Bunlardan bir tanesi de Moodle teknolojisidir. Çalışmanın amacı, B1 seviyesinde İngilizceyi yabancı dil olarak öğrenen üniversite öğrencilerinin Moodle’u kabul edişlik düzeyini tespit etmektir. Bu maksatla çalışmada, Teknoloji Kabul Edişlik Modülü kullanılmıştır. Veri, beşli Likert ölçeği kullanılarak toplanmıştır. Bu ölçekle, katılımcılar Moodle teknolojisini; teknik destek, kabul edilen kullanışlılık, bilgisayar becerileri, kullanım kolaylığı, tutum ve sistemi kullanma konularında değerlendirmişlerdir. Çalışma B1 seviyesinde 110 üniversite öğrencisiyle gerçekleştirilmiştir. Araştırmanın sonuçları, katılımcıların Moodle teknolojisini faydalı bir eğitim yönetimi sistemi olduğunu düşündüklerini ortaya çıkarmıştır. Bunun yanında, öğrencilerin Moodle’ı kabul edişlik seviyeleri ile İngilizce başarıları arasında olumlu bir ilişki bulunmuştur. Çalışmanın sonuçları Moodle teknolojisinin, B1 seviyesindeki üniversite öğrencilerine göre olumlu ve olumsuz yanlarını ve öğretmenlerin Moodle teknolojisini nasıl daha etkili kullanmasını açığa çıkarması bakımından önemlidir. 

Anahtar sözcükler: Moodle, e-öğrenme, teknoloji, İngilizce Öğrencileri, Teknoloji Kabul Edişlik Modülü, Eğitim Yönetimi Sistemleri.

Keywords

Moodle, e-learning, technology, EFL students, Technology Acceptance Model (TAM)

B1 Level Undergraduate EFL Students’ Acceptance of Moodle Technology

Abstract

There are a number of different
alternatives as learning management systems to be used for desired teaching
outcomes. Moodle e-learning platform is one of them. The aim of the study was
to determine the acceptance degree of B1 level undergraduate students’ of
Moodle. To achieve this goal, Technology Acceptance Model was used. The data
was collected through a 5-point Likert scale self-report questionnaire which
aims to question technical support, perceived usefulness, computer
self-efficacy, perceived ease of use, attitude and system usage. The participants
of the study were 110 university EFL students. The results indicated that the
students in B1 level perceived Moodle as an effective learning tool and there
was a positive correlation between their acceptance of Moodle and English
achievement. These findings are considered helpful to identify the pros and
cons of Moodle and may help the teachers how to use Moodle effectively for
their English classes. 

Keywords

Moodle, e-learning, technology, EFL students, Technology Acceptance Model (TAM)

References

• Amin, H. (2007). Extending the technology acceptance model for SMS banking: analyzing the gender gap among students. International Journal of Business and Society, 8(1), 15–27. Common European Framework of Reference for Languages: Learning, Teaching, Assessment. (2001). http://www.coe.int/T/DG4/Linguistic/Source/Framework_EN.pdf Costa, C., Alvelos, H., Teixeira, L. (2012). The use of Moodle e-learning platform: a study in a Portuguese University. Procedia Technology 5. 334 – 343. Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quartely, 13(3), 319–340. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioural impacts. International Journal of Man–Machine Studies, 38(3), 475–487. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten year update. Journal of Management Information Systems, 19(4), 9–30. Dillon, A. & Morris, M. (1998). From "can they" to "will they?": Extending usability evaluation to address acceptance. In E. D. Hoadley & B. Izak (Eds.), Proceedings Association for Information Systems Conference. Baltimore, MD. Gao, Y. (2005). Applying the technology acceptance model (TAM) to educational hypermedia: a field study. Journal of Educational Multimedia and Hypermedia, 14(3), 237-247. http://www.editlib.org/p/5902 Hu, P. J., Chau, P. Y. K., Sheng, O. R. L. & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112. McKinnon, K. & Igonor, A. (2008). Explaining eLearning perceptions using the Technology Acceptance Model and the Theory of Planned Behavior. In C. Bonk et al. (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008. Chesapeake, VA: AACE. http://www.editlib.org/p/30092 Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior. 45. 359–374. Moodle (2011). http://www.moodle.org/ Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217–230. Morris, M. & Dillon, A. (1997). How user perceptions influence software use. IEEE Software,14(4), 58-65. http://dx.doi.org/10.1109/52.595956 Paragina, F., Paragina, S., Jipa, A., Savu, T, & Dumitrescu, A. (2011). The benefits of using MOODLE in teacher training in Romania. Procedia Social and Behavioral Sciences 15 , 1135–1139. Park, S.Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Educational Technology & Society. 12(3): p. 150-162. Persico, D., Manca, S., & Pozzi, F. (2014). Adapting the Technology Acceptance Model to evaluate the innovative potential of e-learning systems. Computers in Human Behavior 30. 614–622. Rice, W. (2006). Moodle – E-Learning Course Development. Birmingham: Packt Publishing. Rice, W. (2007). Moodle Teaching Techniques – Creative Ways to Use Moodle for Constructing Online Learning Solutions. Birmingham: Packt Publishing. Robescu, D.T. (2011). Deploying Moodle Capabilities to Showcase Interactive Content and Language Learning in the Engineering Students’ Foreign Language Training. Procedia Social and Behavioral Sciences. 15. 1153–1157. Rodriguez, T.E., & Lozano, P.L. (2012). The acceptance of Moodle technology by business administration students. Computers & Education 58.1085–1093. Sánchez-Franco, M. J., & Roldán, J. L. (2005). Web acceptance and usage model: A comparison between goal-directed and experiential web users. Internet Research-Electronic Networking Applications and Policy, 15(1), 21–48. Sanchez, R.A., & Hueros, A.D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26(6), p. 1632-1640. Shroff, R.H., Deneen, C.C., & Eugenia M. W. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an eportfolio system. Australasian Journal of Educational Technology, 27(4), 600-618. Sugar, W., Crawley, F. & Fine, B. (2004). Examining teachers’ decisions to adopt new technology. Educational Technology and Society, 7(4), 201-213. http://www.ifets.info/journals/7_4/19.pdf Tarhini, A., Hone, K., & Liu, X. (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, 189 – 197. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(1), 302–312. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.