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Guoyuan Sang

Researcher at Beijing Normal University

Publications -  50
Citations -  2204

Guoyuan Sang is an academic researcher from Beijing Normal University. The author has contributed to research in topics: Teacher education & Higher education. The author has an hindex of 14, co-authored 28 publications receiving 1796 citations. Previous affiliations of Guoyuan Sang include Ghent University.

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Student teachers' thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology

TL;DR: Results show that prospective ICT integration significantly correlates with all teacher related variables, except for gender, and could be directly predicted on the base of teacher thinking variables, and indirectly by the gender of the student teachers.
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Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence

TL;DR: This study reviewed qualitative studies that focused on strategies to prepare pre-service teachers to integrate technology into their lessons and developed an overarching model to present how these key themes related to each other.
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Predicting ICT integration into classroom teaching in Chinese primary schools: exploring the complex interplay of teacher-related variables

TL;DR: The results demonstrate how the complex interplay between teacher-related variables and ICT integration in the classroom is partly in line with findings in non-Asian contexts.
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Exploring the Profiles and Interplays of Pre-Service and In-Service Teachers' Technological Pedagogical Content Knowledge (TPACK) in China

TL;DR: The research further explores the relationships among TPACK factors, CB and DD through structural equation models and reveals that DD consistently predict both pre-service and in-service teachers’ TPACK and this provide support about the importance of design disposition for TPACK advancement.
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Investigating Pre-Service Teachers' Acceptance of Web 2.0 Technologies in Their Future Teaching: A Chinese Perspective.

TL;DR: This study offers an alternate perspective by examining predictors of pre-service teachers’ uptake of Web 2.0 technologies in China by hypothesising an eight-factor research model and finding that perceived usefulness, perceive enjoyment, subjective norm, technological pedagogical and content knowledge, and facilitating conditions had statistically significant direct effects on intention to use Web 2-0 technologies.