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Download full textWong, Kung-Teck; Osman, Rosma bt; Goh, Pauline Swee Choo; Rahmat, Mohd Khairezan – Online Submission, 2013
This study sets out to validate and test the Technology Acceptance Model (TAM) in the context of Malaysian student teachers' integration of their technology in teaching and learning. To establish factorial validity, data collected from 302 respondents were tested against the TAM using confirmatory factor analysis (CFA), and structural equation…
Descriptors: Foreign Countries, Factor Analysis, Structural Equation Models, Student Teachers
Peer reviewedWong, Kung-Teck; Osman, Rosma bt; Goh, Pauline Swee Choo; Rahmat, Mohd Khairezan – International Journal of Instruction, 2013
This study sets out to validate and test the Technology Acceptance Model (TAM) in the context of Malaysian student teachers' integration of their technology in teaching and learning. To establish factorial validity, data collected from 302 respondents were tested against the TAM using confirmatory factor analysis (CFA), and structural equation…
Descriptors: Foreign Countries, Factor Analysis, Structural Equation Models, Student Teachers
Direct linkLee, Ahlam – Journal of Pre-College Engineering Education Research, 2013
Many STEM studies have focused on traditional learning contexts, such as math- and science-related learning factors, as pre-college learning predictors for STEM major choices in colleges. Few studies have considered a progressive learning activity embedded within STEM contexts. This study chose computer-based learning activities in K-12 math…
Descriptors: STEM Education, Predictor Variables, High School Students, Majors (Students)
