Investigating the relationship between thinking style and personal electronic device use and its implications for academic performance

Chen, Ru-Shen; Ji, Chang-Ho

doi:10.1016/j.chb.2015.05.042

Cited by 33Mobile Learning in EducationImpact of Technology on AdolescentsLearning Styles and Cognitive Differences

Investigating the relationship between thinking style and personal electronic device use and its implications for academic performance

Chen, Ru-Shen, Ji, Chang-Ho·2015·Computers in Human Behavior

DOI 10.1016/j.chb.2015.05.042

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Students can rapidly share information with other students and teachers, which could lead to more efficient studying and collaboration.
“Furthermore, students can rapidly share information not only with other students but also with teachers, which could lead to a more ef fi cient studying and collaboration (Chen and Ji, 2015; Lepp et al. , 2015).”
From Banning mobile phones in schools: evidence from regional-level policies in Spain (2022) · cites this paper as Chen and Ji, 2015

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Authors: Chen, R.-S., & Ji, C.-H.
Affiliations: Chihlee Institute of Technology (TW)
La Sierra University (US)
Corresponding author: Ji, Chang-Ho
ORCID: Ji, Chang-Ho
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2015-11
Volume: 52
Pages: 177-183
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2015.05.042
OpenAlex: W597074706
Cited by: 32
References: 41
Citations by year: 2025: 4 · 2024: 2 · 2023: 4 · 2022: 12 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 1 · 2016: 2
FWCI: 3.60
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
Keywords: thinking styles, personal electronic devices, academic performance, abstract thinking, concrete reasoning, educational use of technology, university students, moderating effect

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