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Year 2014, Volume: 29 Issue: 29-1, 169 - 179, 23.07.2014

Eylem Kılıç

Abstract

A destructive earthquake happened in October 2011 in one of the cities at Eastern Region of our country and it caused big damages in the city. All educational system affected negatively and university in the city had to break down its education. It was even not possible to continue education because of huge damages and heavy weather condition at city. In order to solve this problem, it was decided to use Moodle to continue education at the university. All students and instructors except for the medical and dental faculties were obliged to use Moodle during 2011-2012 fall semesters. Therefore, the purpose of this study is to investigate the factors which might affect the intention to use Moodle by university students using Technology Acceptance Model (TAM) in case of earthquake. A survey method was used to collect data. Purposive sampling was used and 501 university students were participated in the current study. The data were analyzed by using descriptive statistics and the proposed model was tested by using structural equation model. The proposed model has seven constructs and nine hypotheses have been generated from the connections among these seven constructs. Except for the one hypothesis, the model supported the entire hypothesis proposed in the model. Implications and discussion are made in light of the results.

Keywords

Moodle usage technology acceptance model earthquake

References

  • Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior, Prentice Hall: New Jersey, NJ.
  • Avcı-Yucel, U., & Gulbahar, Y. (2013). Technology Acceptance Model: A Review of the Prior Predictors Ankara University, Journal of Faculty of Educational Sciences, 46(1), 89-109.
  • Brandl, K. (2005). Are you ready to "Moodle"?, Language Learning & Technology, 9,16-23.
  • Byrne, M. B. (1998). Structural equation modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications, and programming. New Jersey: Lawrence Erlbaum.
  • Chau, P. Y. K. (1996). An empirical investigation of factors affecting the acceptance of CASE by systems developers. Information and Management, 30(3), 269–280.
  • Celik, H. E. (2009). Yapısal eşitlik modellemesi ile bir uygulama: Genişletilmiş online alışveriş kabul modeli Unpublished PhD thesis, Eskişehir Osmangazi University, Natural Scineces
  • Davis, F., D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13,319-340.
  • Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36(1), 9–21.
  • Escobar-Rodriguez, T. & Monge-Lozano, P. (2011). The acceptance of Moodle technology by business administration students. Computers &Education, 58, 1085-1093
  • Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances. Baltimore: John Hopkins.
  • Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. OMEGA, 18(6), 637–652.
  • Igbaria, M.; Guimaraes, T., & Davis, B. (1995). Testing the Determinants of microcomputer usage via a structural equation Model, Journal of Management Information Systems, 11(4), 87-114.
  • Joreskog, K., & Sorbom, D. (2001) LISREL 8: User’s reference guide. Chicago, USA: Scien-tific Software International Inc.
  • King, W. & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43,74075
  • Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53, 1320-1329.
  • Legris, P., Ingham, J. & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.
  • 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.
  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
  • Nunnally J.,C. & Bernstein I.H. (1994). Psychometric Theory. New York, NY: McGraw-Hill.
  • Pavlič,L.,Pušnik, M., Heričko,M., & Šumak, B.(2011). Qualitative Analysis: Identification of the Factors Influencing eLearning System Acceptance. Paper presented at The Third International Conference on Mobile, Hybrid, and Online Learning.
  • Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3(3), 36 – 51.
  • Sánchez, R. A., & Hueros, A. D. (2011) Motivational factors that influence the acceptance of Moodle using TAM, Computers in Human Behavior, 26, 1532-1640
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research - Online, 8(2), 23-74.
  • Seferoglu, S. S. (2007). İlköğretim bilgisayar dersi öğretim programı: Eleştirel bir bakış ve uygulamada yaşanan sorunlar. Eğitim Araştırmaları-Eurasian Journal of Educational Research, 29, 99-111.
  • Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40, 343-360.
  • Stoel, L., & Lee, K. H. 2003. The Effect of Experience on Student Acceptance of Web-based Learning Technology. Internet Research: Electronic Networking Applications and Policy. 5(13), 364-374. (IF: 0.690).
  • Suh, B., & Han. I. (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.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers, Computers & Education, 52, 302-312.
  • Teo, T. (2010). A structural equation modelling of factors influencing student teachers’ satisfaction with e-learning. British Journal of Educational Technology, 41(6), E150-E152.
  • Teo, T., & Noyes, J. (2011). An assessment of the influence of attitude and perceived enjoyment on the intention to use technology among pre-service teachers: A structural equation modelling approach. Computers & Education, 57(2), 1645-1653.
  • Teo, T., Lee, C. B., Chai, C. S., & Choy, D. (2009). Modelling pre-service teachers’ perceived usefulness of an ICTbased student-centred learning (SCL) curriculum: A Singapore study. Asia Pacific Education Review, 10(4), 5355
  • Teo, T., Wong, S. L., Thammetar, T., & Chattiwat, W. (2011). Assessing the e-learning acceptance of university students in Thailand. Australasian Journal of Educational Technology, 27(8), 1356-1368.
  • Turel, V. (2013). The use of educational technology at tertiary level. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi [Hacettepe University Journal of Education], 28(2), 482-496. http://www.efdergi.hacettepe.edu.tr/2013282VEHBİ%20TÜREL.pdf Retrieved on Nov. 22, 2013.
  • Ullman, C., & Rabinowitz, M. (2004). Course management systems and the reinvention of instruction. THE Journal. From www.thejournal.com/articles/17014 Retrieved on Jan. 20, 2012.
  • Unal, Z., & Unal, A. (2011). Evaluating and Comparing the Usability of Web-based Course Management Systems, Journal of Information Technology Education, 10, 19-38
  • Venkatesh, V. & Davis, F. D (2000). A Theoretical extension of the technology Acceptance Model: Four longitudinal field studies. Management Science, 46, 186-204.
  • Wong, S. L., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the Technology Acceptance Model (TAM). The Asia-Pacific Education Researcher, 18(2), 26127

Determining the Factors of Affecting the Moodle Use by Using TAM. The Story of a University after a Destructive Earthquake

Year 2014, Volume: 29 Issue: 29-1, 169 - 179, 23.07.2014

Eylem Kılıç

Abstract

2011 yılının Ekim ayında Türkiye’nin doğusunda bulunan bir ilde yıkıcı bir deprem yaşandı ve şehirde büyük hasarlar meydana geldi. Şehirde yürütülen tüm eğitim faaliyetleri depremden olumsuz bir şekilde etkilendi ve bu olumsuzluklardan ötürü üniversitede de eğitime ara verildi. Eğitime devam etmek, ağır hava koşulları ve meydana gelen büyük hasarlar yüzünden neredeyse imkânsız hale geldi. Bu problemin üstesinden gelmek ve öğretime devam edilebilmek için üniversite yöneticileri tarafından 2011-2012 güz yarıyılı için eğitimin uzaktan yapılmasına olanak tanıyan Moodle kullanılması kararlaştırıldı. Tıp ve Diş Hekimliği Fakültesi dışında, tüm öğretim elemanları ve öğrencilerin derslerin devamı için Moodle kullanması zorunlu tutuldu. Bu nedenle, bu çalışmanın amacı deprem sonrası ders yönetim sistemi olarak üniversite öğrencileri tarafından kullanılan Moodle’un kullanımını etkileyebilecek faktörleri Teknoloji Kabul Modeli çerçevesinde araştırmaktır.Verilerin analizinde temel betimsel istatistikler ve önerilen modeli test etmek amacıyla yapısal eşitlik modellemesi kullanılmıştır Önerilen modelde yedi faktör ve bu faktörler arasındaki ilişkilerden üretilen dokuz hipotez bulunmaktadır. Bir hipotez dışında, modelde test edilen tüm hipotezler desteklenmiştir. Elde edilen sonuçlar ışığında tartışmalar ve öneriler yapılacaktır.

Keywords

Moodle kullanımı teknoloji kabul modeli deprem

References

  • Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior, Prentice Hall: New Jersey, NJ.
  • Avcı-Yucel, U., & Gulbahar, Y. (2013). Technology Acceptance Model: A Review of the Prior Predictors Ankara University, Journal of Faculty of Educational Sciences, 46(1), 89-109.
  • Brandl, K. (2005). Are you ready to "Moodle"?, Language Learning & Technology, 9,16-23.
  • Byrne, M. B. (1998). Structural equation modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications, and programming. New Jersey: Lawrence Erlbaum.
  • Chau, P. Y. K. (1996). An empirical investigation of factors affecting the acceptance of CASE by systems developers. Information and Management, 30(3), 269–280.
  • Celik, H. E. (2009). Yapısal eşitlik modellemesi ile bir uygulama: Genişletilmiş online alışveriş kabul modeli Unpublished PhD thesis, Eskişehir Osmangazi University, Natural Scineces
  • Davis, F., D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13,319-340.
  • Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36(1), 9–21.
  • Escobar-Rodriguez, T. & Monge-Lozano, P. (2011). The acceptance of Moodle technology by business administration students. Computers &Education, 58, 1085-1093
  • Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances. Baltimore: John Hopkins.
  • Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. OMEGA, 18(6), 637–652.
  • Igbaria, M.; Guimaraes, T., & Davis, B. (1995). Testing the Determinants of microcomputer usage via a structural equation Model, Journal of Management Information Systems, 11(4), 87-114.
  • Joreskog, K., & Sorbom, D. (2001) LISREL 8: User’s reference guide. Chicago, USA: Scien-tific Software International Inc.
  • King, W. & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43,74075
  • Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53, 1320-1329.
  • Legris, P., Ingham, J. & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.
  • 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.
  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
  • Nunnally J.,C. & Bernstein I.H. (1994). Psychometric Theory. New York, NY: McGraw-Hill.
  • Pavlič,L.,Pušnik, M., Heričko,M., & Šumak, B.(2011). Qualitative Analysis: Identification of the Factors Influencing eLearning System Acceptance. Paper presented at The Third International Conference on Mobile, Hybrid, and Online Learning.
  • Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3(3), 36 – 51.
  • Sánchez, R. A., & Hueros, A. D. (2011) Motivational factors that influence the acceptance of Moodle using TAM, Computers in Human Behavior, 26, 1532-1640
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research - Online, 8(2), 23-74.
  • Seferoglu, S. S. (2007). İlköğretim bilgisayar dersi öğretim programı: Eleştirel bir bakış ve uygulamada yaşanan sorunlar. Eğitim Araştırmaları-Eurasian Journal of Educational Research, 29, 99-111.
  • Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40, 343-360.
  • Stoel, L., & Lee, K. H. 2003. The Effect of Experience on Student Acceptance of Web-based Learning Technology. Internet Research: Electronic Networking Applications and Policy. 5(13), 364-374. (IF: 0.690).
  • Suh, B., & Han. I. (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.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers, Computers & Education, 52, 302-312.
  • Teo, T. (2010). A structural equation modelling of factors influencing student teachers’ satisfaction with e-learning. British Journal of Educational Technology, 41(6), E150-E152.
  • Teo, T., & Noyes, J. (2011). An assessment of the influence of attitude and perceived enjoyment on the intention to use technology among pre-service teachers: A structural equation modelling approach. Computers & Education, 57(2), 1645-1653.
  • Teo, T., Lee, C. B., Chai, C. S., & Choy, D. (2009). Modelling pre-service teachers’ perceived usefulness of an ICTbased student-centred learning (SCL) curriculum: A Singapore study. Asia Pacific Education Review, 10(4), 5355
  • Teo, T., Wong, S. L., Thammetar, T., & Chattiwat, W. (2011). Assessing the e-learning acceptance of university students in Thailand. Australasian Journal of Educational Technology, 27(8), 1356-1368.
  • Turel, V. (2013). The use of educational technology at tertiary level. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi [Hacettepe University Journal of Education], 28(2), 482-496. http://www.efdergi.hacettepe.edu.tr/2013282VEHBİ%20TÜREL.pdf Retrieved on Nov. 22, 2013.
  • Ullman, C., & Rabinowitz, M. (2004). Course management systems and the reinvention of instruction. THE Journal. From www.thejournal.com/articles/17014 Retrieved on Jan. 20, 2012.
  • Unal, Z., & Unal, A. (2011). Evaluating and Comparing the Usability of Web-based Course Management Systems, Journal of Information Technology Education, 10, 19-38
  • Venkatesh, V. & Davis, F. D (2000). A Theoretical extension of the technology Acceptance Model: Four longitudinal field studies. Management Science, 46, 186-204.
  • Wong, S. L., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the Technology Acceptance Model (TAM). The Asia-Pacific Education Researcher, 18(2), 26127
There are 40 citations in total.

Details

Primary Language Turkish
Journal Section Makaleler
Authors

Eylem Kılıç This is me

Publication Date July 23, 2014
Published in Issue Year 2014 Volume: 29 Issue: 29-1

Cite

APA Kılıç, E. (2014). Determining the Factors of Affecting the Moodle Use by Using TAM. The Story of a University after a Destructive Earthquake. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 29(29-1), 169-179.