Net generation or Digital Natives: Is there a distinct new generation entering university?

Jones, Chris, Ramanau, Ruslan, Cross, Simon, Healing, Graham·2010·Computers & Education

DOI 10.1016/j.compedu.2009.09.022

Open this paper in CoChat — free account

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2009.09.022

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The digital natives as learners: Technology use patterns and approaches to learning
Thompson, P. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.12.022 · Cited by 557
Automatic feedback in online learning environments: A systematic literature review
Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y.-S., Gašević, D., & Mello, R. F. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100027 · Cited by 440
Are young generations in secondary school digitally competent? A study on Italian teenagers
Calvani, A., Fini, A., Ranieri, M., & Picci, P. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.10.004 · Cited by 318
University students' self-regulated learning using digital technologies
Yot-Domínguez, C., & Marcelo, C. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0076-8 · Cited by 213
Gender and socioeconomic related differences in performance based ICT competences
Aesaert, K., & van Braak, J. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.12.017 · Cited by 188
The five resources of critical digital literacy: a framework for curriculum integration
Hinrichsen, J., & Coombs, A. (2014) · Research in Learning Technology · doi:10.3402/rlt.v21.21334 · Cited by 169
Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students?
Schmid, R., & Petko, D. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.006 · Cited by 144
Lost in an iPad: Narrative engagement on paper and tablet
Mangen, A., & Kuiken, D. (2014) · Scientific Study of Literature · doi:10.1075/ssol.4.2.02man · Cited by 141
Mobile advertising to Digital Natives: Preferences on content, style, personalization, and functionality
Smith, K. T. (2019) · Journal of Strategic Marketing · doi:10.1080/0965254x.2017.1384043 · Cited by 115
Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel
Mäntymäki, M., & Riemer, K. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.12.010 · Cited by 112
Measurement and evidence of computer-based task switching and multitasking by ‘Net Generation’ students
Judd, T., & Kennedy, G. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.10.004 · Cited by 106
An interactive peer-assessment criteria development approach to improving students' art design performance using handheld devices
Lai, C.-L., & Hwang, G.-J. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.02.011 · Cited by 78
An embodied agent helps anxious students in mathematics learning
Kim, Y., Thayne, J., & Wei, Q. (2017) · Educational Technology Research and Development · doi:10.1007/s11423-016-9476-z · Cited by 70
Factors Affecting Student Engagement in Online Teaching and Learning: A Qualitative Case Study
Werang, B., & Radja Leba, S. M. (2022) · The Qualitative Report · doi:10.46743/2160-3715/2022.5165 · Cited by 62
A Naturalistic Investigation of Media Multitasking While Studying and the Effects on Exam Performance
Patterson, M. C. (2017) · Teaching of Psychology · doi:10.1177/0098628316677913 · Cited by 55
Senior technology exploration, learning, and acceptance (STELA) model: from exploration to use – a longitudinal randomized controlled trial
Tsai, H.-Y. S., Rikard, R. V., Cotten, S. R., & Shillair, R. (2019) · Educational Gerontology · doi:10.1080/03601277.2019.1690802 · Cited by 45
Bridging the “digital divide”: A comparison of use and effectiveness of an online intervention for depression between Baby Boomers and Millennials
Schneider, B. C., Schröder, J., Berger, T., Hohagen, F., Meyer, B., Späth, C., Greiner, W., Hautzinger, M., Lutz, W., Rose, M., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.101 · Cited by 32
Analyzing Students’ Technology Use Motivations: An Interpretive Structural Modeling Approach
Guo, Z., Li, Y., & Stevens, K. J. (2012) · Communications of the Association for Information Systems · doi:10.17705/1cais.03014 · Cited by 32
Relationships between digital nativity, value orientation, and motivational interference among college students
Chen, P.-H., Teo, T., & Zhou, M. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.06.017 · Cited by 20
Exploring Digital Nativeness as a Predictor of Digital Game-Based L2 Vocabulary Acquisition
Calvo-Ferrer, J. R. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2018.1548489 · Cited by 15

Authors: Jones, C., Ramanau, R., Cross, S., & Healing, G.
Venue: Computers & Education
Publisher: Elsevier BV
Published: 2010-04
Volume: 54
Issue: 3
Pages: 722-732
ISSN: 0360-1315 (ISSN-L)
DOI: 10.1016/j.compedu.2009.09.022
OpenAlex: W1964420753
Cited by: 851
References: 0
FWCI: 147.79
Type: journal article
Language: en
Open access: closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review