IMPLEMENTING OF BLENDED LEARNING IN TERMS OF TECHNOLOGY READINESS AND TECHNOLOGY ACCEPTANCE: AN ANALYSIS

Authors: Adi Wibowo Noor Fikri, Rorim Panday, Choiroel Woestho & Eri Bukhari

ABSTRACT

Blended learning has become an attractive learning model in the world of education, especially as an application of innovative new information technology. However, the face-to-face learning process using information technology has not been able to provide an effective and efficient solution. To achieve success in the learning process, blended learning needs to rely on solid learning theories and pedagogical strategies. This research aims to know how technology readiness and technology acceptance of lecturers in implementing Blended Learning. Data collection using questionnaires from lecturer respondents who have received blended learning training, at the Faculty of Economics, Bhayangkara Jaya University as many as 52 people. Data processing using path analysis from AMOS. The results showed that Optimism had a significant positive effect on perceptions of ease of use and perceptions of usefulness. Innovation has a significant positive effect on perceived ease of use. Insecurity has a significant negative effect on perceptions of ease of use. Perceived ease of use has a significant positive effect on perceived usefulness. As an implication of this research, there needs to be the development of an integrated blended learning system as well as training for lecturers and students in order to improve technology readiness, so that the implementation of Blended Learning will be maximized.

Keywords: Technology Readiness, Technology Acceptance, Path Analysis

REFERENCES

  • Allen, I. E., Seaman, J., & Garrett, R. (2007). Blending in: The extent and promise of blended education in the United States. The Sloan Consortium. https://doi.org/10.1007/s00170-005-0274-8
  • Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information and Management. https://doi.org/10.1016/j.im.2006.03.007
  • Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Management. https://doi.org/oclc/56932490
  • Friesen, N. (2012). Defining Blended Learning. Learning Spaces.
  • Graham, C. R. (2011). Blended Learning Models. In Encyclopedia of Information Science and Technology, Second Edition. https://doi.org/10.4018/978-1-60566-026-4.ch063
  • Hilliard, A. T. (2015). Global Blended Learning Practices For Teaching And Learning, Leadership, And Professional Development. Journal of International Education Research (JIER). https://doi.org/10.19030/jier.v11i3.9369
  • Irawan, Y., Susanti, N., & Triyanto, W. A. (2015). ANALISA DAN PERANCANGAN SISTEM PEMBELAJARAN ONLINE (E-LEARNING) PADA SMK MAMBAUL FALAH KUDUS. Simetris : Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer. https://doi.org/10.24176/simet.v6i2.471
  • King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management. https://doi.org/10.1016/j.im.2006.05.003
  • Lin, C. H., Shih, H. Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology and Marketing. https://doi.org/10.1002/mar.20177
  • Masrom, M. (2007). Technology acceptance model and E-learning. 12th International Conference on Education.
  • McFarland, D. J., & Hamilton, D. (2006). Adding contextual specificity to the technology acceptance model. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2004.09.009
  • Panday, R, Wibowo, A., & Mardiah, S. (2019). Analisis Technology Readiness Acceptance Penggunaan Komputer dan Teknologi Informasi Pada Manajemen Proyek Kontraktor. (April 2019).
  • Panday, Rorim. (2015). Analysis of technology readiness and technology acceptance of geodesy students in using ina geoportal. (November), 10–12.
  • Panday, Rorim, & Purba, J. T. (2015). Lecturers and students technology readiness in implementing services delivery of academic information system in higher education institution: A case study. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-662-46742-8_49
  • Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research. https://doi.org/10.1177/109467050024001
  • Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research. https://doi.org/10.1177/1094670514539730
  • Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information and Management. https://doi.org/10.1016/j.im.2006.10.007
  • Sharpe, R., Benfield, G., & Francis, R. (2006). Implementing a university e-learning strategy: levers for change within academic schools. Research in Learning Technology. https://doi.org/10.3402/rlt.v14i2.10952
  • Tsikriktsis, N. (2004). A Technology Readiness-Based Taxonomy of Customers. Journal of Service Research. https://doi.org/10.1177/1094670504266132
  • Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science. https://doi.org/10.1287/mnsc.46.2.186.11926