The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers

Ulaş İlic

doi:10.53850/joltida.1007868

EN

The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers

Abstract

The present study aimed to investigate the impact of a course that included ICT skills on the online learning readiness of pre-service teachers in a completely distance education environment. In the research, single group pre-test post-test model was adopted. The study was conducted with 123 pre-service teachers. The E-Learning Readiness Scale for College Students was used to collect the data. Furthermore, the course academic achievement final scores of the participants were employed. The data collection process continued during the 2020-2021 academic year fall term. The study findings demonstrated that total online learning readiness and sub-dimension scores increased after the Information Technologies Course. It was found that there was no difference across the scores based on gender. The academic achievements of female students were higher. At the beginning of the term, it was revealed that ease of use, online learning readiness and computer self-efficacy, internet self-efficacy and learner control variables varied based on personal computer ownership. At the end of the term, both these variables and academic achievement did not differ across personal computer ownership. There was a correlation between the ease of use variable and online learning readiness both at the beginning and the end of the term. On the other hand, there was no correlation between the academic achievement and ease of use or online learning readiness. It could be suggested that the present study findings could contribute to future studies in terms of online learning readiness.

Keywords

Online learning readiness, ICT, Information Technologies Course, Pre-service teachers, Covid-19

References

Abbitt, J. T. (2011). An investigation of the relationship between self-efficacy beliefs about technology integration and Technological Pedagogical Content Knowledge (TPACK) among preservice teachers. Journal of Digital Learning in Teacher Education, 27(4), 134-143. doi:10.1080/21532974.2011.10784670
Akgün, Ö. E., & Topal, M. (2015). Information security awareness of the senior teacher students: Sakarya University sample. Sakarya University Journal of Education, 2(5), 98-121.
Alipio, M. (2020). Education during COVID-19 era: Are learners in a less-economically developed country ready for e-learning?. SSRN. http://hdl.handle.net/10419/216098 doi:10.2139/ssrn.3586311
Artino, A. R. (2009). Online learning: Are subjective perceptions of instructional context related to academic success?. The Internet and Higher Education, 12(3-4), 117-125. doi:10.1016/j.iheduc.2009.07.003
Atkinson, J. K., & Blankenship, R. (2009). Online learning readiness of undergraduate college students: A comparison between male and female learners. Learning in Higher Education, 5, 49-56.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company. Bernard, R. M., Brauer, A., Abrami, P. C., & Surkes, M. (2004). The development of a questionnaire for predicting online learning achievement. Distance Education, 25(1), 31-47. doi:10.1080/0158791042000212440
Bozkurt, A. (2020). Koronavirüs (Covid19) pandemi süreci ve pandemi sonrası dünyada eğitime yönelik değerlendirmeler: Yeni normal ve yeni eğitim paradigması. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 112-142.
Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. Asian Journal of Distance Education, 15(1), i-vi. doi:10.5281/zenodo.3778083
de Bruyn, L. L. (2004). Monitoring online communication: Can the development of convergence and social presence indicate an interactive learning environment?. Distance Education, 25(1), 67-81. doi: 10.1080/0158791042000212468
Chu, R. J. C. (2010). How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults–Analyses of gender and age differences. Computers & Education, 55(1), 255-264. doi: 10.1016/j.compedu.2010.01.011

Chung, E., Subramaniam, G., & Dass, L. C. (2020). Online learning readiness among university students in Malaysia amidst COVID-19. Asian Journal of University Education, 16(2), 46-58. doi:10.24191/ajue.v16i2.10294
Cohen, J. (1997). Statistical power analysis for the behavioral sciences. NY, SF, London: Academic Press. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.
Ćukušić, M., Alfirević, N., Granić, A., & Garača, Ž. (2010). E-learning process management and the e-learning performance: Results of a European empirical study. Computers & Education, 55(2), 554-565. doi: 10.1016/j.compedu.2010.02.017
Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Ankara: Pegem Akademi.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Decker, C. A. (2002). Computer preparedness: A study of computer use self-efficacy among DECA Students in Kentucky. In Hauppauge, S. S. (Eds.), Trends in cognitive psychology. NY: Nova Science Publishers, 2002.
Dehghanbanadaki, H., Seif, F., Vahidi, Y., Razi, F., Hashemi, E., Khoshmirsafa, M., & Aazami, H. (2020). Bibliometric analysis of global scientific research on Coronavirus (COVID-19). Medical Journal of the Islamic Republic of Iran, 34(1), 354-362. doi:10.34171/mjiri.34.51
Demir Kaymak, Z., & Horzum, M. B. (2013). Relationship between online learning readiness and structure and interaction of online learning students. Educational Sciences: Theory and Practice, 13(3), 1792-1797. doi: 10.12738/estp.2013.3.1580
DeVellis, R. F. (2012). Scale development: Theory and applications. Sage Publications.
Dray, B. J., Lowenthal, P. R., Miszkiewicz, M. J., Ruiz‐Primo, M. A., & Marczynski, K. (2011). Developing an instrument to assess student readiness for online learning: A validation study. Distance Education, 32(1), 29-47. doi:10.1080/01587919.2011.565496
Firat, M., & Bozkurt, A. (2020). Variables affecting online learning readiness in an open and distance learning university. Educational Media International, 57(2), 112-127. doi:10.1080/09523987.2020.1786772
Galy, E., Downey, C., & Johnson, J. (2011). The effect of using e-learning tools in online and campus-based classrooms on student performance. Journal of Information Technology Education, 10(1), 209-230. George, D. (2011). SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India.
González-Gómez, F., Guardiola, J., Rodríguez, Ó. M., & Alonso, M. Á. M. (2012). Gender differences in e-learning satisfaction. Computers & Education, 58(1), 283-290. doi:10.1016/j.compedu.2011.08.017
Gottman, J. M., McFall, R. M., & Barnett, J. T. (1969). Design and analysis of research using time series. Psychological Bulletin, 72(4), 299-306.
Gündüz, A. Y., & İşman, A. (2018). Pre-service teachers’ perception of distance education. TOJET: The Turkish Online Journal of Educational Technology, 17(1), 125-129.
Harvey, T. J., & Wilson, B. (1985). Gender differences in attitudes towards microcomputers shown by primary and secondary school pupils. British Journal of Educational Technology, 16(3), 183-187.
Haseski, H. İ. (2019). Information Technologies Course: An evaluation from the perspective of pre-service teachers. Trakya Journal of Education, 9(4), 666-679. doi:10.24315/tred.494705
Haseski, H. İ. (2020). Cyber security skills of pre-service teachers as a factor in computer-assisted education. International Journal of Research in Education and Science, 6(3), 484-500.
Higher Education Council (2021, October 8). Öğretmen Yetiştirme Lisans Programları. Retrieved from https://www.yok.gov.tr/Documents/Kurumsal/egitim_ogretim_dairesi/Yeni-Ogretmen-Yetistirme-Lisans-Programlari/Rehberlik_ve_Psikolojik_Danismanlik_Lisans_Programi.pdf
Horzum, M. B., Kaymak, Z. D., & Gungoren, O. C. (2015). Structural equation modeling towards online learning readiness, academic motivations, and perceived learning. Educational Sciences: Theory and Practice, 15(3), 759-770. doi:10.12738/estp.2015.3.2410
Horzum, M. B., Önder, İ., & Beşoluk, Ş. (2014). Chronotype and academic achievement among online learning students. Learning and Individual Differences, 30, 106-111. doi:10.1016/j.lindif.2013.10.017
Hossain, M. M. (2020). Current status of global research on novel Coronavirus disease (Covid-19): A bibliometric analysis and knowledge mapping. F1000Research, 9, 1-13. doi:10.12688/f1000research.23690.1 Hukle, D. R. L. (2009). An evaluation of readiness ractors for online education. (Unpublished doctoral dissertation). Mississippi State University, Mississippi.
Hung, M. L. (2016). Teacher readiness for online learning: Scale development and teacher perceptions. Computers & Education, 94, 120-133. doi:10.1016/j.compedu.2015.11.012
Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080-1090. doi:10.1016/j.compedu.2010.05.004
Ilgaz, H., & Gülbahar, Y. (2015). A snapshot of online learners: E-readiness, e-satisfaction and expectations. International Review of Research in Open and Distributed Learning, 16(2), 171-187. doi:10.19173/irrodl.v16i2.2117
İlic, U. (2019). Instructional Technologies course from the perspective of faculty members. Paper presented at 1st Social and Human Sciences Congress, Malatya, Turkey.
İlic, U. (2021a). Online course satisfaction in a holistic flipped classroom approach. Journal of Educational Technology & Online Learning, 4(3), 432-447.
İlic, U. (2021b). Online learning readiness, phubbing and sofalizing levels of pre-service teachers amidst pandemic. Shanlax International Journal of Education, 9(4), 1–12. doi:10.34293/education.v9i4.4027
İlic, U. (2021c). The impact of Scratch-assisted instruction on Computational Thinking (CT) skills of pre-service teachers. International Journal of Research in Education and Science, 7(2), 426-444. doi:10.46328/ijres.1075
Joosten, T., & Cusatis, R. (2020). Online learning readiness. American Journal of Distance Education, 34(3), 180-193. doi:10.1080/08923647.2020.1726167
Kahveci, A., Sahin, N., & Genc, S. (2011). Computer perceptions of secondary school teachers and impacting demographics: A Turkish perspective. Turkish Online Journal of Educational Technology-TOJET, 10(1), 71-80
Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in e-learning outcomes: An empirical study. Computers & Education, 57(3), 1919-1929. doi:10.1016/j.compedu.2011.04.005
Kerr, M. S., Rynearson, K., & Kerr, M. C. (2006). Student characteristics for online learning success. The Internet and Higher Education, 9(2), 91-105. doi:10.1016/j.iheduc.2006.03.002
Kharma, Q. (2019). Investigating students’ acceptance of online courses at Al-Ahliyya Amman University. Int. J. Adv. Comput. Sci. Appl, 10(7), 202-208.
Kline, P. (2000). The handbook of psychological testing. London: Routledge.
Kruger-Ross, M. J., & Waters, R. D. (2013). Predicting online learning success: Applying the situational theory of publics to the virtual classroom. Computers & Education, 61, 176-184. doi:10.1016/j.compedu.2012.09.015
Lawless, K. A., & Brown, S. W. (1997). Multimedia learning environments: Issues of learner control and navigation. Instructional science, 25(2), 117-131.
Lin, B., & Hsieh, C. T. (2001). Web-based teaching and learner control: A research review. Computers & Education, 37(3-4), 377-386. doi:10.1016/S0360-1315(01)00060-4
Masters, K., & Oberprieler, G. (2004). Encouraging equitable online participation through curriculum articulation. Computers & Education, 42(4), 319-332. doi:10.1016/j.compedu.2003.09.001
Pallant, J. (2001). "Survival manual." A step by step guide to data analysis using SPSS. Maidenhead, PA: Open University Press.
Pillay, H., Irving, K., & Tones, M. (2007). Validation of the diagnostic tool for assessing tertiary students’ readiness for online learning. High Education Research & Development, 26(2), 217-234. doi:10.1080/07294360701310821
Rahimi, M. (2011). The impact of computer-based activities on Iranian high-school students’ attitudes towards computer-assisted language learning. Procedia Computer Science, 3, 183-190.
Roussos, P. (2007). The Greek computer attitudes scale: Construction and assessment of psychometric properties. Computers in Human Behavior, 23(1), 578-590. doi:10.1016/j.chb.2004.10.027
Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2017). Mlearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Computers in Human Behavior, 72, 644-654. doi:10.1016/j.chb.2016.09.061
Schrum, L., & Hong, S. (2002). From the field: Characteristics of successful tertiary online students and strategies of experienced online educators. Education and Information Technologies, 7(1), 5-16.
Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413. doi:10.1016/j.compedu.2005.09.004
Selwyn, N. (1998). The effect of using a home computer on students' educational use of IT. Computers & Education, 31(2), 211-227. doi:10.1016/S0360-1315(98)00033-5
Smith, P. J. (2005). Learning preferences and readiness for online learning. Educational Psychology, 25(1), 3-12. doi:10.1080/0144341042000294868
Smith, P. J., Murphy, K. L., & Mahoney, S. E. (2003). Towards identifying factors underlying readiness for online learning: An exploratory study. Distance Education, 24(1), 57-67. doi:10.1080/01587910303043
Tang, S. F., & Lim, C. L. (2013). Undergraduate students’ readiness in e-learning: A study at the business school in a Malaysian private university. International Journal of Management & Information Technology, 4(2), 198-204.
Teo, H. H., Wan, W., Chan, H., & Lim, C. Y. (2002). Bridging the digital divide: The effects of home computer ownership and school IT environment on self-directed learning. Paper presented at International Conference on Information Systems(ICIS).
Torkzadeh, G., & Koufteros, X. (1994). Factorial validity of a computer self-efficacy scale and the impact of computer training. Educational and Psychological Measurement, 54(3), 813-821. doi:10.1177/0013164494054003028
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Vonderwell, S., & Savery, J. (2004). Online learning: Student role and readiness. Turkish Online Journal of Educational Technology-TOJET, 3(3), 38-42.
Wainer, H., & Thissen, D. (1996). How is reliability related to the quality of test scores? What is the effect of local dependence on reliability?. Educational Measurement: Issues and Practice, 15(1), 22-29.
Wang, C. H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323. doi:10.1080/01587919.2013.835779
World Health Organization. (2021, October 9). Coronavirus disease (COVID-19) pandemic. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
Worldometer. (2021, December 15). COVID-19 Coronavirus pandemic. Retrieved from https://www.worldometers.info/coronavirus/.
Wynn, L. (2002). School readiness: Starting your child off right. Raleigh, NC: North Carolina Partnership for Children.
Xu, D., & Wang, H. (2006). Intelligent agent supported personalization for virtual learning environments. Decision Support Systems, 42(2), 825-843. doi:10.1016/j.dss.2005.05.033
Yeboah, A. K., & Smith, P. (2016). Relationships between minority students online learning experiences and academic performance. Online Learning, 20(4).
Yıldırım, A., & Şimşek, H. (2011). Qualitative research methods in social sciences. Ankara: Seçkin Publishing. Yu, T. (2018). Examining construct validity of the Student Online Learning Readiness (SOLR) instrument using confirmatory factor analysis. Online Learning, 22(4), 277-288.
Yurdugül, H., & Demir, Ö. (2017). An investigation of pre-service teachers' readiness for e-learning at undergraduate level teacher training programs: The case of Hacettepe University. H. U. Journal of Education, 32(4), 896-915. doi:10.16986/huje.2016022763
Yurdugül, H., & Sarikaya, D. A. (2013). The scale of online learning readiness: A study of validity and reliability. Egitim ve Bilim, 38(169), 391-406.

Details

Primary Language

English

Subjects

Other Fields of Education

Journal Section

Research Article

Authors

Ulaş İlic ^*
0000-0003-4213-8713
Türkiye

Publication Date

January 13, 2022

Submission Date

October 12, 2021

Acceptance Date

December 19, 2021

Published in Issue

Year 2022 Volume: 7 Number: 1

DOI

https://doi.org/10.53850/joltida.1007868

IZ

https://izlik.org/JA76PF47CR

APA

İlic, U. (2022). The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers. Journal of Learning and Teaching in Digital Age, 7(1), 116-126. https://doi.org/10.53850/joltida.1007868

AMA

1.İlic U. The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers. JOLTIDA. 2022;7(1):116-126. doi:10.53850/joltida.1007868

Chicago

İlic, Ulaş. 2022. “The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers”. Journal of Learning and Teaching in Digital Age 7 (1): 116-26. https://doi.org/10.53850/joltida.1007868.

EndNote

İlic U (January 1, 2022) The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers. Journal of Learning and Teaching in Digital Age 7 1 116–126.

IEEE

[1]U. İlic, “The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers”, JOLTIDA, vol. 7, no. 1, pp. 116–126, Jan. 2022, doi: 10.53850/joltida.1007868.

ISNAD

İlic, Ulaş. “The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers”. Journal of Learning and Teaching in Digital Age 7/1 (January 1, 2022): 116-126. https://doi.org/10.53850/joltida.1007868.

JAMA

1.İlic U. The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers. JOLTIDA. 2022;7:116–126.

MLA

İlic, Ulaş. “The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers”. Journal of Learning and Teaching in Digital Age, vol. 7, no. 1, Jan. 2022, pp. 116-2, doi:10.53850/joltida.1007868.

Vancouver

1.Ulaş İlic. The Impact of ICT Instruction on Online Learning Readiness of Pre-Service Teachers. JOLTIDA. 2022 Jan. 1;7(1):116-2. doi:10.53850/joltida.1007868

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Journal of Learning and Teaching in Digital Age 2023. This is an Open Access journal distributed under the terms of the Creative Commons Attribution International 4.0 (CC BY 4.0) license.

Journal of Learning and Teaching in Digital Age. Open Access Journal, 2023. ISSN:2458-8350