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Distributing Computing Devices in Classrooms

Hedonic and Utilitarian Influences on Science and Technology Attitudes

Bibliographic Data

ID3758922
AuthorsYoung June Sah (0000-0003-3901-148X, Dankook University, Yongin-si, Gyeonggi-do, South Korea, corresponding author), Taj W Makki (Quicken Loans, Detroit, MI, USA), Shelia R Cotten (0000-0002-8657-8262, Michigan State University, East Lansing, MI, USA), R V Rikard (0000-0003-2201-553X, Michigan State University, East Lansing, MI, USA)
Year2020
Volume64
Issue7
Pages973-993
Publication date2020-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0002764220919140
OpenAlexW3036771272
LanguageEN
Citations received2
References cited52

While extensive efforts have been made to harness benefit of computing technologies in education, little attention focuses on how such efforts lead to students' positive attitudes toward science and technology. Building on the technology acceptance model and motivation literature, the current study proposed that hands-on experiences with computing devices allow students to perceive their technology use as being useful and enjoyable, which in turn leads to positive attitudes toward science and technology in general. Data collected from a pedagogical intervention support our predictions regarding the role of utility perception and enjoyment. Furthermore, it is suggested that students' prior attitudes toward science and technology and the type of device used in the intervention influence perceived usefulness and enjoyment of classroom computing. When using education-specific devices, students' prior attitudes were positively associated with postintervention attitudes as well as with utility perception and enjoyment. When using general-purpose devices, however, students' prior attitudes were not related to those outcomes. These results imply that distribution of technologies to schools may improve attitudes toward science and technology, particularly in populations that have been underrepresented in the fields of science and technology thus far

Educational technology · Intervention (counseling) · Mathematics education · Perception · Science education · Technology Acceptance Model · Usability · Child Development and Digital Technology · Computer Science · Gender and Technology in Education · Impact of Technology on Adolescents · Psychology

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    Jongsik Yu, Sung‐su Kim et al.•Asia Pacific Journal of Tourism…•2025

  • Mixed-Effects Models in Sand S-PLUS

    Open Access•José C Pinheiro, David M Bates et al.•Mixed-Effects Models in Sand S-PLUS•2000

  • Motivation and Education

    Edward L Deci, Robert J Vallerand et al.•Educational Psychologist•1991

  • Technology acceptance model (TAM) and social media usage

    Open Access•Rupak Rauniar, Greg Rawski et al.•Journal of Enterprise Information…•2014

  • Understanding Web-based learning continuance intention

    Open Access•Chao‐Min Chiu, Chao-Min Chiu et al.•Information & Management•2008

  • Formative versus reflective measurement models

    Open Access•Tim Coltman, Timothy M Devinney et al.•Journal of Business Research•2008

  • Acceptance of Internet-based learning medium

    Open Access•Matthew Lee, Matthew K O Lee et al.•Information & Management•2005

  • Empirical Evaluation of the Revised Technology Acceptance Model

    Open Access•Bernadette Szajna•Management Science•1996

  • EGameFlow

    Open Access•Fong-Ling Fu, Rong-Chang Su et al.•Computers & Education•2009

  • Games, Motivation, and Learning

    Open Access•Rosemary Garris, Robert Ahlers et al.•Simulation & Gaming•2002

  • Explaining and predicting users’ continuance intention toward e-learning

    Open Access•Ming-Chi Lee•Computers & Education•2010

  • Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

    Marios Koufaris•Information Systems Research•2002

  • Direct Experience And Attitude-Behavior Consistency

    Russell H Fazio, Mark P Zanna•Advances in Experimental Social…•1981

  • Expectancy‐Value Models for the STEM Persistence Plans of Ninth‐Grade, High‐Ability Students

    Open Access•Lori Andersen, Thomas J Ward•Science Education•2014

  • Predicting User Intentions

    Kieran Mathieson•Information Systems Research•1991

  • A Theoretical Extension of the Technology Acceptance Model

    Open Access•Vivek Venkatesh, Viswanath Venkatesh et al.•Management Science•2000

  • Technology Acceptance Model 3 and a Research Agenda on Interventions

    Open Access•Vivek Venkatesh, Viswanath Venkatesh et al.•Decision Sciences•2008

  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

    Fred D Davis•MIS Quarterly•1989

  • Effects of Technology Integration Education on the Attitudes of Teachers and Students

    Rhonda Christensen•Journal of Research on Technology…•2002

  • On the predictive validity of attitudes

    Open Access•Russell H Fazio, Mark P Zanna•Journal of Personality•1978

  • The One Laptop Per Child Project and the negotiation of technological meaning

    Open Access•Brendan Luyt•First Monday•2008

  • Information Transmission in the Survey Interview

    Duane F Alwin•Sociological Methodology•1992

  • Math and science motivation

    Sandra D Simpkin, Sandra D Simpkins et al.•Developmental Psychology•2006

  • Attitude generalization

    Open Access•Natalie J Shook, Russell H Fazio et al.•Journal of Experimental Social…•2006

  • The "What" and "Why" of Goal Pursuits

    Edward L Deci, Richard M Ryan•Psychological Inquiry•2000

  • The case for motivated reasoning

    Ziva Kunda•Psychological Bulletin•1990

  • What Makes Things Cool? How Autonomy Influences Perceived Coolness

    Caleb Warren, Margaret C Campbell•Journal of Consumer Research•2014

Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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