Investigating Digital Distraction among Pre-service Science, Technology, and Mathematics Teachers in Nigeria

Adeneye Awofala; Oladiran Olabiyi; Racheal Okunuga; Omolabake Ojo; Awoyemi Awofala; Abisola Lawani

Ayuda

Investigating Digital Distraction among Pre-service Science, Technology, and Mathematics Teachers in Nigeria

Awofala, Adeneye ^[1] ; Olabiyi, Oladiran ^[1] ; Okunuga, Racheal ^[2] ; Ojo, Omolabake ^[1] ; Awofala, Awoyemi ^[1] ; Lawani, Abisola ^[2]
1. [1] University of Lagos
  
  University of Lagos
  
  Nigeria
2. [2] Tai Solarin University of Education, Nigeria
Localización: Digital Education Review, ISSN-e 2013-9144, Nº. 37, 2020 (Ejemplar dedicado a: Number 37 June 2020 [Monographic] Digital learning: distraction or default for the future), págs. 32-48
Idioma: inglés
DOI: 10.1344/der.2020.37.32-48
Enlaces
- Texto completo (pdf)
Resumen
- Internationally, proliferation of digital technologies in classrooms has produced digital distractions among digital natives in this 21st century. Thus, it is highly imperative to develop a suitable instrument for assessing and measuring digital distraction among higher education students to enable continuing research and practice. While previous studies had treated and measured digital distraction as a sub-component of a multi-dimensional construct and as a test, the present study through instrumentation survey research, developed and authenticated a standalone digital distraction scale among pre-service science, technology and mathematics (STM) teachers in Nigeria. The instrument is constructed by adopting a multidimensional standpoint of digital distraction around a higher-order modelling method. The pre-service STM teachers were recruited from a culturally varied university student population in Nigeria. The results showed a high level of digital distraction among the pre-service STM teachers in Nigeria and the digital distraction is composed of several connected yet distinctive factors (emotional distraction, digital addiction, and distraction by procrastination), with proof backing up a higher-order structural archetypal. More so, empirical evidence confirmed the measurement invariance of the scale with regards to gender and the consistency of the psychometric properties of the digital distraction scale. Finally, a test-retest reliability of the digital distraction scale showed that the scores are not variable over time and that the scale is not sensitive to alterations in the learning milieu. Finally, it is hoped that this tool will be handy for educators interested in isolating pre-service STM teachers at risk of high digital distraction which may cause lack of respect and privation of courtesy for instructors and personal distraction in the classroom.
Referencias bibliográficas
- Adams, D. (2006). Wireless laptops in the classroom (and the sesame street syndrome). Communications of the ACM, 49, 25-27.
- Attia, N. A., Baig, L., Marzouk, Y. I, & Khan, A. (2017). The potential effect of technology and distractions on undergraduate students’...
- Awofala, A. O. A. (2012). Development and factorial structure of students’ evaluation of teaching effectiveness scale in mathematics. Cypriot...
- Awofala, A. O. A. (2017). Assessing senior secondary school students’ mathematical proficiency as related to gender and performance in mathematics...
- Awofala, A. O. A., & Fatade, A. O. (2015). Validation of the domains of creativity scale for Nigerian preservice science, technology,...
- Burns, S., & Lohenry, K. (2010). Cellular phone use in class: Implications for teaching and learning a pilot study. College Student Journal,...
- Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts, applications, and programming (2nd ed.). Mahwah, New Jersey: Psychology...
- Chen, F. F. (2007). Sensitivity of goodness of ﬁt indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary...
- Chen, L., Nath, R., & Insley, R. (2014). Determinants of digital distraction: A cross-cultural investigation of users in Africa, China...
- Davis, R. A., Flett, G. L., & Besser, A. (2002). Validation of a new scale for measuring problematic Internet use: Implications for pre-employment...
- Duncan, D. K., Hoekstra, A. R., & Wilcox, B. R. (2012). Digital devices, distraction, and student performance: Does in-class cell phone...
- Frisby, B. N., Sexton, B., Buckner, M., Beck, A-C. & Kaufmann, R. M. (2018). Peers and instructors as sources of distraction from a cognitive...
- Gebre, E., Saroyan, A., & Bracewell, R. (2014). Students' engagement in technology rich classrooms and its relationship to professors'...
- Greenfield, D. (2017). Digital distraction test. The Centre for Internet and Technology Addiction.
- Hefferman, V. (2010). The attention-span myth. New York Times Magazine, November 11, 22.
- Hegedus, S., & Roschelle, J. (Eds.). (2013). Learning important mathematics from contextualization and networked collaboration—A review...
- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for ﬁt indexes in covariance structure analysis: Conventional criteria versus new...
- Junco, R., & Cotton, S. (2011). Perceived academic effects of instant messaging use. Computers & Education, 56, 370-378.
- Kraushaar, J. M., & Novak, D. C. (2010). Examining the effects of student multitasking with laptop during the lecture. Journal of Information...
- Martin, L. (2011). Teaching business statistics in a computer lab: Benefits or distraction? Journal of Education for Business, 86(6), 326-331.
- McCoy, B. (2013). Digital distractions in the classroom: Student classroom use of digital devices for non-class related purposes. Journal...
- McCoy, B. R. (2016). Digital distractions in the classroom phase ii: student classroom use of digital devices for non-class related purposes....
- Melerdiercks, K. (2005). The dark side of the laptop university. Journal of Ethics, 14, 9-11.
- O'bannon, B., & Thomas, K. (2014). Teacher perceptions of using mobile phones in the classroom: Age matters! Computers & Education,...
- Ogunniyi, M. A. (2004). Development, validation and use of university students’ evaluation of teaching effectiveness scale (USETES). Unpublished...
- Ophir, E., Nass, C., & Wagner, A. D. (2009) Cognitive Control in Media Multi-Taskers. Proceedings of the National Academy of Sciences,...
- PR Newswire. (2013). Digital distraction: CIO survey: Tech gadgets contributing to decline in workplace etiquette. PR Newswire, May 7, 2013.
- Rajeshwar, K. (2010). Too connected in a wireless world? Interface, 19(4), 3.
- Rutten, N., van Joolingen, W., & van der Veen, J. (2012). The learning effects of computer simulations in science education. Computers...
- Seemiller, C. (2017). Curbing digital distractions in the classroom. Contemporary Educational Technology, 8(3), 214-231
- Sullivan, A., Johnson, B., Owens, L., & Conway, R. (2014). Punish them or engage them? Teachers’ views of unproductive student behaviours...
- Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology...
- Tomarken, A. J., & Waller, N. G. (2003). Potential problems with “well ﬁtting” models. Journal of Abnormal Psychology, 112, 578-598.
- Wen, M. L., Tsai, C. C., Lin, H. M., & Chuang, S. C. (2004). Cognitive-metacognitive and content-technical aspects of constructivist Internet-based...
- Wood, E., Zivcakova, L., Gentile, P., Archer, K., Pasquale, D., &. Nosko, A. (2012). Examining the impact of off-multitasking with technology...