Measuring the Classification of Digital Natives use Digital Natives Assessment Scale: The Implementation on Pre-Service Physics Teachers in Banten-Indonesia and Its Implications

Authors

  • Yudi Guntara Department of Physics Education, Universitas Sultan Ageng Tirtayasa, Serang, Indonesia
  • Indri Sari Utami Department of Physics Education, Universitas Sultan Ageng Tirtayasa, Serang, Indonesia

DOI:

https://doi.org/10.21009/1.07208

Keywords:

Banten province, confirmatory factor analysis, digital natives, mastery of technology, pre-service teacher

Abstract

Education in the digital era had shifted conventional learning methods to digital technology-based learning. Likewise with students have to be faced by pre-service physics teachers who have entered the generation of digital natives. However, is it true that the concept of digital natives exists? Moreover, whether pre-service physics teachers belong to that generation? Therefore, the objective of this study was to prove the construct validity of the Digital Natives Assessment Scale using data from pre-service physics teachers in Banten Province, Indonesia. And follow-up analysis is used to find the relationship between digital natives' status and pre-service physics teacher technology mastery. This study used a quantitative approach with the correlational method. The type of correlation research chosen was Confirmatory Factor Analysis (CFA). The instrument used was a Digital Natives Assessment Scale (DNAS) questionnaire consisting of 21 items and four factors, measured using a 7-point scale. The results showed that this study could not prove the 4-factor DNAS model for pre-service teacher participants in Banten Province based on the results of the CFA. And there was no relationship between the status of digital natives and the level of technology mastery of pre-service teachers based on Pearson correlation analysis. So it can be concluded that using a sample of student-teacher candidates in Indonesia, the 4-factor DNAS cannot be proven construct validity. However, this decision is not final but should be tested on a larger scale to show DNAS matches.

References

Bakri, F, Permana, H, Fitriani, W, Ambarwulan, D & Muliyati, D 2021, ‘The development of 21st century skills and competence in service teacher through TPACK training workshop’, AIP Conference Proceedings, vol. 2320, no, 1, p. 020032.
Benesty, J et al. 2009, ‘Pearson correlation coefficient’, Noise reduction in speech processing, pp. 1-4.
Bennet, D & Bennet, A 2008, ‘Engaging tacit knowledge in support of organizational learning’, Vine, Emerald Group Publishing Limited, vol. 38, no. 1, pp. 72-94.
Bennett, S & Maton, K 2010, ‘Beyond the “digital natives” debate: Towards a more nuanced understanding of students’ technology experiences’, Journal of Computer Assisted Learning, vol. 26, no. 5, pp. 321-331.
BPS Banten 2021, ‘Persentase penduduk miskin Banten Maret 2021 naik menjadi 6,66 persen’, Available at: https://banten.bps.go.id. (Accessed: 16 July 2021).
Brown, MW & Cudeck, R 1993, ‘Alternative ways of assessing model fit’, Testing structural equation models, vol. 154, no. 4, pp. 136-162.
Chen, PH, Teo, T & Zhou, M 2016, ‘Relationships between digital nativity, value orientation, and motivational interference among college students’, Learning and Individual Differences, vol. 50, no. 3, pp. 49-55.
Curran, PJ, West, SG & Finch, JF 1996, ‘The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis’, Psychological methods American Psychological Association, vol. 1, no.1, p. 16.
Fraenkel, JR, Wallen, NE & Hyun, HH 2012, ‘How to design and evaluate research in education’, New York: McGraw-hill.
Guntara, Y, Hafid, T & Sari, IF 2021, ‘Does TPACK Mastery Affect Teamwork Skills? A Causal-Comparative Study of Pre-Service Physics Teachers’, Jurnal Ilmiah Pendidikan Fisika Al-Biruni, vol. 10, no. 1, pp. 37-47.
Guo, RX, Dobson, T & Petrina, S 2008, ‘Digital natives, digital immigrants: An analysis of age and ICT competency in teacher education’, Journal of educational computing research, vol. 38, no. 3, pp. 235-254.
Hair, JF et al. 2010, ‘Multivariate data analysis: A global perspective: Pearson Upper Saddle River’. New Jersey, vol. 7.
Harris, J, Grandgenett, N & Hofer, M 2010, ‘Testing a TPACK-based technology integration assessment rubric’, Society for Information Technology & Teacher Education International Conference, pp. 3833-3840.
Kasanah, A 2015, ‘Penggunaan Metode Structural Equation Modeling Untuk Analisis Faktor Yang Mempengaruhi Kualitas Pelayanan Perpustakaan Dengan Program Lisrel 8.80’, Universitas Negeri Semarang.
Kirschner, PA & De Bruyckere, P 2017, ‘The myths of the digital native and the multitasker’, Teaching and Teacher Education, vol. 67, no. 3, pp. 135-142.
Kline, T 2005, ‘Psychological testing: A practical approach to design and evaluation’, SAGE Publications.
Mercimek, B, Akbulut, Y, Dönmez, O, Sak, U 2020, ‘Multitasking impairs learning from multimedia across gifted and non-gifted students’, Education Tech Research Dev, vol. 68, pp. 995-1016 .
Messick, S 1998, ‘Test validity: A matter of consequence’, Social Indicators Research, vol. 45, no 1, pp. 35-44.
Minott-Bent, R 2020, ‘Integrating Computer-Facilitated Learning in Urban Schools: Challenges to the Pre-Service Teacher’, Urban Teacher Education and Teaching, pp. 179-194.
Nasution, SH 2018, ‘Pentingnya literasi teknologi bagi mahasiswa calon guru matematika’, Jurnal Kajian Pembelajaran Matematika, vol. 2, no. 1, pp. 14-18.
Nazirwan, N 2019, ‘Peran guru menurut johann heinrich pestalozzi dalam menghadapi digital natives’, Al-Ashlah: Journal of Islamic Studies, vol. 3, no. 2, pp. 1-14.
Oktasari, D, Hediansah, D, Jumadi, J & Warsono, W 2020, ‘Instructional Technology: Teacher’s Initial Perception of TPACK in Physics Learning’, Jurnal Penelitian & Pengembangan Pendidikan Fisika, vol. 6, no. 1, pp. 131-138.
Prensky, M 2001, ‘Digital natives, digital immigrants part 2: Do they really think differently?’, On the horizon, vol. 9, no. 6, pp. 1-6.
Riordan, K 2014, ‘Accuracy, Independence, and Impartiality: How legacy media and digital natives approach standards in the digital age’, England: Reuters Institute for the Study of Journalism.
Saprudin, S, Liliasari, L, Prihatmanto, AS & Setiawan, A 2018, ‘The Design of Media on Two-Lens System Experiment (MTLSE) for Pre-service Physics Teachers’, Jurnal Penelitian & Pengembangan Pendidikan Fisika, vol. 4, no. 2, pp. 91-100.
Teo, T 2013, ‘An initial development and validation of a Digital Natives Assessment Scale (DNAS)’, Computers and Education, vol. l, no. 67, pp. 51-57.
Thang, SM, Nambiar, RMK, Wong, FF et al. 2015, ‘A Clamour for More Technology in Universities: What Does an Investigation into the ICT Use and Learning Styles of Malaysian ‘Digital Natives’ Tell Us?’, Asia-Pacific Edu Res, vol. 24, pp. 353-361.
Tran, T et al. 2020, ‘How digital natives learn and thrive in the digital age: Evidence from an emerging economy’, Sustainability, vol. 12, no. 9, p. 3819.
Utami, IS, Vitasari, M, Langitasari, I, Sugihartono, I & Rahmawati, Y 2020, ‘The Local Wisdom-Based STEM Worksheet to Enhance the Conceptual Understanding of Pre-service Physics Teacher’, Jurnal Penelitian & Pengembangan Pendidikan Fisika, vol. 6, no. 1, pp. 97-104.
Wijanto, SH 2008, ‘Structural Equation Modelling dengan LISREL 8.80: Konsep dan Tutorial’, Yogyakarta: Graha Ilmu.
Wilson, ML, Hall, JA & Mulder, DJ 2020, ‘Assessing digital nativeness in pre-service teachers: Analysis of the Digital Natives Assessment Scale and implications for practice’, Journal of Research on Technology in Education, vol. 8, no. 2, pp. 1-18.
Yong, ST, Gates, P & Harrison, I 2010, ‘Digital native students--where is the evidence’, British Educational Research Journal, vol. 36, no. 3, pp. 503-520.

Downloads

Published

2021-12-30

How to Cite

Guntara, Y., & Utami, I. S. (2021). Measuring the Classification of Digital Natives use Digital Natives Assessment Scale: The Implementation on Pre-Service Physics Teachers in Banten-Indonesia and Its Implications. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 7(2), 161–168. https://doi.org/10.21009/1.07208

Most read articles by the same author(s)

Similar Articles

<< < > >> 

You may also start an advanced similarity search for this article.