Exploring patterns of technology use in UK college students: a cluster analysis of learners' digital practices

被引:4
|
作者
Sharpe, Rhona [1 ]
Wu, Qi [2 ]
Pavlakou, Metaxia [3 ]
机构
[1] Univ Surrey, Dept Technol Enhanced Learning, Guildford, Surrey, England
[2] Univ Reading, Student Success & Engagement Team, Reading, Berks, England
[3] UCL, UCL Arena Ctr Rese Based Educ, London, England
关键词
Post secondary education; further education; digital literacy; technology-enhanced learning; surveys; cluster analysis; LITERACY PRACTICES; NATIVES; EXPECTATIONS; EVERYDAY;
D O I
10.1080/13596748.2019.1584436
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study assesses the use of various technologies, from institutional virtual learning environments to Web 2.0 tools, amongst learners studying at six general Further Education colleges in the UK. The study surveyed 218 students from a range of disciplines and qualifications. Cluster analysis revealed distinct patterns of engagement with technologies in both personal/social and educational contexts. Some support was found for a connection between personal/social and academic uses of technology. In contrast to the dominant narrative of learners as digitally fluent technology users, the analysis showed the majority of learners were using educational technologies in fairly simplistic ways that satisfy the demands of their course. Significant relationships were found between digital practices in college and subject studied and gender. The discussion draws on the literature of digital literacy practices in order to interpret the findings and inform the planning and development of learning technologies.
引用
收藏
页码:20 / 36
页数:17
相关论文
共 50 条
  • [31] Exploring Statistical Approaches to Diminish Subjectivity of Cluster Analysis to Derive Dietary Patterns The Tomorrow Project
    Lo Siou, Geraldine
    Yasui, Yutaka
    Csizmadi, Ilona
    McGregor, S. Elizabeth
    Robson, Paula J.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2011, 173 (08) : 956 - 967
  • [32] Digital literacy: an analysis of social practices in cyberspace from the accessibility and frequency of use
    Romeiro Mota Silva, Maria Felicia
    Ribeiro, Roberta Rocha
    da Silva Santos, Edite Consuelo
    LINGUAS & LETRAS, 2014, 15 (31):
  • [33] The virtual COVID-19 classroom: surveying outcomes, individual differences, and technology use in college students
    Kara Sage
    Sophia Jackson
    Emily Fox
    Larissa Mauer
    Smart Learning Environments, 8
  • [34] AN EVALUATION OF THE IMPACT OF ACADEMIC STAFF DIGITAL LITERACY ON THE USE OF TECHNOLOGY: A CASE STUDY OF UK HIGHER EDUCATION
    Garcia, E.
    Dungay, K.
    Elbeltagi, I.
    Gilmour, N.
    EDULEARN13: 5TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2013, : 2042 - 2051
  • [35] The virtual COVID-19 classroom: surveying outcomes, individual differences, and technology use in college students
    Sage, Kara
    Jackson, Sophia
    Fox, Emily
    Mauer, Larissa
    SMART LEARNING ENVIRONMENTS, 2021, 8 (01)
  • [36] Telemedicine's Hesitant Reception Among Digital Natives: A Cluster Analysis of Polish Students' Attitudes
    Frankowska, Anna
    Walkowiak, Marcin Piotr
    Walkowiak, Dariusz
    TELEMEDICINE AND E-HEALTH, 2025, 31 (02) : 167 - 175
  • [37] Gendered patterns in students' motivation profiles regarding iSTEM and STEM test scores: a cluster analysis
    Hermans, Seppe
    Gijsen, Marijn
    Mombaers, Tine
    van Petegem, Peter
    INTERNATIONAL JOURNAL OF STEM EDUCATION, 2022, 9 (01)
  • [38] Gendered patterns in students’ motivation profiles regarding iSTEM and STEM test scores: a cluster analysis
    Seppe Hermans
    Marijn Gijsen
    Tine Mombaers
    Peter van Petegem
    International Journal of STEM Education, 9
  • [39] Exploring profiles of varied types of achievement goals, emotions and digital insight problem solving through cluster analysis
    Yeh, Yu-chu
    Wu, Hsiao-an
    Huang, Frank
    THINKING SKILLS AND CREATIVITY, 2022, 46
  • [40] Exploring the individual patterns of spiritual well-being in people newly diagnosed with advanced cancer: a cluster analysis
    Mei Bai
    Jane Dixon
    Anna-leila Williams
    Sangchoon Jeon
    Mark Lazenby
    Ruth McCorkle
    Quality of Life Research, 2016, 25 : 2765 - 2773