Technology acceptance among pre-service teachers: Does gender matter?
Author(s) -
Timothy Teo,
Xitao Fan,
Jianxia Du
Publication year - 2015
Publication title -
australasian journal of educational technology
Language(s) - English
Resource type - Journals
eISSN - 1449-5554
pISSN - 1449-3098
DOI - 10.14742/ajet.1672
Subject(s) - technology acceptance model , metric (unit) , psychology , service (business) , mathematics , usability , computer science , engineering , marketing , operations management , human–computer interaction , business
This study examined possible gender differences in pre-service teachers’ perceived acceptance of technology in their professional work under the framework of the technology acceptance model (TAM). Based on a sample of pre-service teachers, a series of progressively more stringent measurement invariance tests (configural, metric, and scalar invariances, as well as latent mean difference) were conducted. Practically, the findings revealed that, while the gender groups showed no statistical difference on perceived usefulness, attitudes toward technology, intention to use technology, female pre-service teachers had lower scores on perceived ease of use, suggesting that technology use is more challenging for female pre-service teachers than for their male counterparts. Technically, the findings provided support for full configural and metric invariance, and for partial scalar invariance. Discussions about the findings and their practical implications concerning teacher training are provided. Future research directions are also suggested.
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