The relational model for digital literacy and technophilia with the mediating role of technological attitude and computer self-efficacy in high school students

Document Type : Research Paper

Authors

1 Assistant Professor, Educational Sciences Department, Payam-e Noor University, Tehran, Iran

2 Associate Professor, Educational Sciences Department, Payam-e Noor University, Tehran, Iran

Abstract

The study aims to develop a relational model for digital literacy and technophilia with the mediating role of technological attitude and computer self-efficacy in senior high school students in the city of Eghlid in the scholastic year 2023-2024.  Simple random sampling was used to select 320 participants. Data for this descriptive correlational study were collected using the digital literacy scale developed by Rodriguez et al. (2016), technophilia scale developed by Martinez-Corcolez et al. (2017), technological attitude scale developed by Liou and Kuo (2014), and computer self-efficacy scale developed by Murphy, Coover, and Owen (1989). Path analysis showed that digital literacy has a direct positive effect on technological attitude, computer self-efficacy, and technophilia; technological attitude and computer self-efficacy has a direct positive effect on technophilia, and digital literacy has an indirect positive effect on technophilia with the mediating role of technological attitude and computer self-efficacy.
Introduction
Technophilia is defined as a strong, positive attraction to technology (Abbasi and Tabatabaei-Yazd, 2021). The term is used to underscore how technology can evoke strong, positive feelings for the future (Samir et al., 2023).
Few researchers have examined technophilia and its relationship with other variables. Hamad et al. (2021) found a significant relationship between the level of digital skills, digital literacy, and acceptance and tendency towards technology. Digital technology encompasses a range of literacies, including media literacy, computer literacy, information and internet literacy, and digital literacy. The manner in which people engage with technology is influenced by their attitude towards the use of technology in education (Tondeur, 2018). The significance of this attitude in accepting technology has been emphasized as an element of technology acceptance model (TAM) or an integrated technology acceptance model and application (Buabeng-Andoh and Baa, 2020).
Self-efficacy can also be a significant factor in learning computer skills. Today, self-efficacy is cited as the central variable in studies on technology (Johnson, Thatcher, and Gerow, 2017). Therefore, technophilia and enthusiasm for knowledge can be a key issue today. Examining the factors influencing it can pave the way to finding solutions for many educational issues. The present study aims to answer the question “Do technological attitude and computer self-efficacy play a mediating role in the relationship between digital literacy and technophilia?”
Methodology
This is a descriptive-correlational study based on structural equation modeling (SEM) for data collection and applied in terms of purpose. The statistical population included all second-year high school students in Eghlid during the scholastic year 2023-2024. Simple random sampling and Cochran's formula was used to select 320 participants. Data were collected using the digital literacy scale developed by Rodriguez et al. (2016), technophilia scale developed by Martinez-Corcolez et al. (2017), technological attitude scale developed by Liou and Kuo (2014), and computer self-efficacy scale developed by Murphy, Coover, and Owen (1989).
Results
Among the study variables, the strongest relationship was found between technophilia and technological attitude (0.43), and the poorest relationship between technophilia and digital literacy (0.32), with a significance level of 0.01. Among the endogenous variables of the study, computer self-efficacy (0.40) had the lowest correlation coefficient, and technological attitude (0.43) had the highest correlation coefficient for technophilia, with a significance level of 0.01.
The direct, indirect, and total effect coefficients are shown in Table 2.
Digital literacy had the strongest direct effect on computer self-efficacy (0.34), while it had the lowest direct effect on technophilia (0.10). Technological attitude (0.30) had the strongest direct effect on technophilia. The only indirect effect pertained to digital literacy on technophilia (0.17). Finally, the strongest total effect was found for the effect of digital literacy on computer self-efficacy (0.34), and the lowest total effect was found for the effect of digital literacy on technophilia (0.10), all with a significance level of 0.01.
The fitted research model is shown in Figure 1.
Discussion and conclusion
The study aimed to develop a relational model for digital literacy and technophilia with the mediating role of technological attitude and computer self-efficacy in senior high school students in the city of Eghlid. Findings show that technological attitude and computer self-efficacy have a direct positive effect on technophilia, but despite its influential effect, digital literacy does not have a direct effect due to parents’ technophobia and the pressure not to use technology due to their risk perception. However, it has an indirect effect on technophilia with the mediating role of technological attitude and computer self-efficacy. High school students use technology because of environmental influences, and the knowledge and skill gradually lead to a positive attitude towards technology and technophilia.

Keywords

Main Subjects


Abbasi, F., & Tabatabaee-Yazdi, M. (2021). EFL Teachers’ Personality Traits and their Sense of Technophobia and Technophilia. Journal of Research in Techno-based Language Education, 1(2), 1-14. https://doi.org/10.22034/jrtle.2021.138943
Aharony, N., & Gazit, T. (2019). Factors affecting students’ information literacy self-efficacy. Library Hi Tech, 37(2), 170-183. https://doi.org/10.1108/LHT-10-2018-0154
Ajlouni, A., Rawadieh, S., AlMahaireh, A., & Awwad, F. A. (2022). Gender differences in the motivational profile of undergraduate students in light of self-determination theory: The case of online learning setting. Journal of Social Studies Education Research, 13(1), 75-103.
Akhtar Danesh, M. (2022). Presenting the structural model of digital literacy and computer self-employment with technology friendliness as a mediating role of ease of use and perceived usefulness Payam Noor Khorameh Center.]. Fars Province, Payam Noor Khorameh Center.
Al-Bataineh, M., & Anderson, S. (2015, 03/01). Jordanian Social Studies Teachers' Perceptions of Competency Needed for Implementing Technology in the Classroom. contemporary Educational Technology, 6, 38-61. https://doi.org/10.30935/cedtech/6138
Alnasraween, S., George Ammar, R. M., Alsoudi, S. A., Alkursheh, T. O., & Almahameed, Y. S. (2021). Constructing a scale of students’ attitudes towards distance learning at Jordanian private universities. Alnasraween, MSS, Ammari, RMG, Alsoudi, SA, Alkursheh, TO, & Almahameed, YZ (2021). Constructing a scale of studentsattitudes towards distance learning at Jordanian private universities. International Journal of Humanities, Arts and Social Sciences, 7(1), 1-13.
Azizinejad, B., & Allah Karami, F. (2018). Comparing the effect of ICT-based education with traditional education on students' academic enthusiasm. Technology of Education Journal (TEJ), 13(1), 203-212.
Balapour, A., Reychav, I., Sabherwal, R., & Azuri, J. (2019). Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps. International Journal of Information Management, 49, 58-68.
Barrientos-Gutierrez, I., Lozano, P., Arillo-Santillan, E., Morello, P., Mejia, R., & Thrasher, J. F. (2019). “Technophilia”: A new risk factor for electronic cigarette use among early adolescents? Addictive behaviors, 91, 193-200.
Baruch, F. (2021). Transnational fandom: Creating alternative values and new identities through digital labor. Television & New Media, 22(6), 687-702.
Buabeng-Andoh, C., & Baah, C. (2020). Pre-service teachers’ intention to use learning management system: an integration of UTAUT and TAM. Interactive Technology and Smart Education, 17(4), 455-474.
Calvani, A., Fini, A., Ranieri, M., & Picci, P. (2012). Are young generations in secondary school digitally competent? A study on Italian teenagers. Computers & Education, 58(2), 797-807.
Cetindamar, D., Abedin, B., & Shirahada, K. (2021). The role of employees in digital transformation: a preliminary study on how employees’ digital literacy impacts use of digital technologies. IEEE Transactions on Engineering Management.
Cosby, A., Fogarty, E. S., & Manning, J. (2023). Digital Literacy and Digital Self-Efficacy of Australian Technology Teachers. Education Sciences, 13(5), 530.
Di Giacomo, D., Guerra, F., Perilli, E., & Ranieri, J. (2020). Technophobia as emerging risk factor in aging: Investigation on computer anxiety dimension. Health Psychology Research, 8 (1)
El Alfy, S., Gómez, J. M., & Ivanov, D. (2017). Exploring instructors’ technology readiness, attitudes and behavioral intentions towards e-learning technologies in Egypt and United Arab Emirates. Education and Information Technologies, 22, 2605-2627.
ElMassah, S., & Mohieldin, M. (2020). Digital transformation and localizing the sustainable development goals (SDGs). Ecological Economics, 169, 106490.
Esfandiari, R. (2019). Iranian EFL teachers’ digital literacy in academic settings: teacher professionalism in the digital age. Journal of Foreign Language Research, 9(3), 69.  1-720
Fernandes, T., & Inverneiro, I. (2021). From fandom to fad: are millennials really engaged with and loyal to their loved brands on social media? Journal of Product & Brand Management, 30(2), 320-334.
Gawish, A., Saleh, W., & Radwan, K. (2021). Attitude and perception of Egyptian undergraduate dental students to e-learning during covid 19 at North Sinai Egypt. Genesis, 2(2), 1-15.
[Record #28 is using a reference type undefined in this output style.]
Griffin, B. (2014). A case study: The impact of school-based technology implementation on middle school teacher technology efficacy.
Hague, C., & Payton, S. (2010). Digital literacy across the curriculum (Vol. 4). Futurelab Bristol.
 
Hamad, F., Al-Fadel, M., & Fakhouri, H. (2021). The effect of librarians’ digital skills on technology acceptance in academic libraries in Jordan. Journal of Librarianship and Information Science, 53(4), 589-600.
Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., Al-Habashneh, S., & Shaheen, A. M. (2021) University students' interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713-725.
Holzinger, A., Weippl, E., Tjoa, A. M., & Kieseberg, P. (2021). Digital transformation for sustainable development goals (sdgs)-a security, safety and privacy perspective on ai. International cross-domain conference for machine learning and knowledge extraction,
Hosseinzadehnabati, M., Mahmoodi, F., & Adib, Y. (2021). Relationship between attitude to career and technology course with technological and entrepreneurship attitude of high school students in district one of Tabriz. Technology of Education Journal (TEJ), 15 , 305-319 (2)
Jang, M., Aavakare, M., Kim, S., & Nikou, S. (2020). The effects of digital literacy and information literacy on the intention to use digital technologies for learning-A comparative study in Korea and Finland.
Jarrahzadeh, R., Ali Delfan Azari, Q., & Shahrakipour, H. (2023). Determining the effect of computer self-efficacy on academic achievement with the role of digital literacy moderator (case study: second high school students of Ahvaz city). The first international conference on interdisciplinary research in education and research papers.
Johnson, R., Thatcher, J., & Gerow, J. (2017). A Meta-Analytic Review of Computer Self-Efficacy and Agenda for Future Research. Academy of Management Proceedings,
Khasawneh, O. Y. (2018). Technophobia without boarders: The influence of technophobia and emotional intelligence on technology acceptance and the moderating influence of organizational climate. Computers in Human Behavior, 88, 210-218.
Kim, E.-m., & Yang, S. (2016). Internet literacy and digital natives’ civic engagement: Internet skill literacy or Internet information literacy? Journal of Youth Studies, 19(4), 438-456.
Kuek, A., & Hakkennes, S. (2020). Healthcare staff digital literacy levels and their attitudes towards information systems. Health informatics journal, 26(1), 592-612.
Lim, E. M. (2023). The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Education and Information Technologies, 28(10), 12969-12995.
Lim, J., & Newby, T. J. (2021). Preservice teachers’ attitudes toward Web 2.0 personal learning environments (PLEs): Considering the impact of self-regulation and digital literacy. Education and Information Technologies, 26, 399-3720(4)
Liou, P.-Y., & Kuo, P.-J. (2014). Validation of an instrument to measure students’ motivation and self-regulation towards technology learning. Research in Science & Technological Education, 32(2), 79-96.
Maroufkhani, P., Desouza, K. C., Perrons, R. K., & Iranmanesh, M. (2022). Digital transformation in the resource and energy sectors: A systematic review. Resources Policy, 76, 102622.
Martínez-Córcoles, M., Teichmann, M., & Murdvee, M. (2017). Assessing technophobia and technophilia: Development and validation of a questionnaire. Technology in Society, 51, 183-188.
Min-Fang, T., & Chen, C. (2019). Understanding physicians’ adoption of electronic medical records: Healthcare technology self-efficacy, service level and risk perspectives. Comput. Stand. Interfaces, 66.
Mohammadpour, S. (2019). Investigating the relationship between information and communication technology literacy and computer self-efficacy with the mediating role of job motivation of teachers of exceptional schools in Mazandaran province. . Third National Conference on Modern Approaches to Education and Research.
Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 8, 11-25, 2.
Murphy, C. A., Coover, D., & Owen, S. V. (1989). Development and validation of the computer self-efficacy scale. Educational and Psychological measurement, 49(4), 893-899.
 
Naveed, M. A., & Mahmood, M. (2022). Correlatives of business students’ perceived information literacy self-efficacy in the digital information environment. Journal of Librarianship and Information Science, 54(2), 294-305.
Osiceanu, M.-E. (2015). Psychological implications of modern technologies:“technofobia” versus “technophilia”. Procedia-Social and Behavioral Sciences, 180, 1137-1144.
Pilli, O., & Aksu, M. (2013). The effects of computer-assisted instruction on the achievement, attitudes and retention of fourth grade mathematics students in North Cyprus. Computers & Education, 62, 62-71.
Rodríguez-de-Dios, I., Igartua, J.-J., & González-Vázquez, A. (2016). Development and validation of a digital literacy scale for teenagers. Proceedings of the fourth international conference on technological ecosystems for enhancing multiculturality,
Samadi, P., & Ahmadi, M. (2015). Investigating the Strengths and Weaknesses of ICT Application in terms of the Curriculum (Centralization and Decentralization). The Journal of New Thoughts on Education, 11(2), 69-104. https://doi.org/10.22051/jontoe.2015.1877
Samir, A., & Tabatabaee-Yazdi, M. (2023). EFL Learners’ Mobile Affordances: A Focus on Technophobia and Technophilia. Journal of Contemporary Language Research, 2(3), 129-138.
Seebauer, S., Stolz, R., & Berger, M. (2015, 11/01). Technophilia as a driver for using advanced traveler information systems. Transportation Research Part C Emerging Technologies, 60, 498-510. https://doi.org/10.1016/j.trc.2015.10.009
Semerci, A., & Aydin, M. K. (2018). Examining High School Teachers' Attitudes towards ICT Use in Education. International journal of progressive education, 14(2), 93-105.
Teimoury, H., & Salimi, S. (2020). The relationship teachers attitude toward the use of educational technologies in teaching process with motivation and academic achievement. Information and Communication Technology in Educational Sciences, 11(1), 61-79.
Tondeur, J. (2018). Enhancing future teachers’ competencies for technology integration in education: Turning theory into practice. Seminar. net,
Trenerry, B., Chng, S., Wang, Y., Suhaila, Z. S., Lim, S. S., Lu, H. Y., & Oh, P. H. (2021). Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors. Front Psychol, 12, 620766. https://doi.org/10.3389/fpsyg.2021.620766
Tsay-Vogel, M., & Sanders, M. S. (2017). Fandom and the search for meaning: Examining communal involvement with popular media beyond pleasure. Psychology of Popular Media Culture, 6(1), 32.
Yıldız, Z., & Aktaş, M. (2015). The Effect of Computer Assisted Instruction on Achievement and Attitude of Primary School Students. International Online Journal of Educational Sciences, 7(1).