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Download full textFiroozi, Mohammad Reza; Kazemi, Ali; Jokar, Maryam – International Electronic Journal of Elementary Education, 2017
The present study aimed to investigate the role of Socio-Cognitive variables in predicting learning satisfaction in Smart Schools. The population was all the primary school students studying in smart schools in the city of Shiraz in the school year 2014-2015. The sample, randomly chosen through multi-stage cluster sampling, was 383 primary school…
Descriptors: Foreign Countries, Elementary School Students, Student Satisfaction, Predictor Variables
Direct linkMiranda, Helena P.; Russell, Michael – British Journal of Educational Technology, 2012
Analyses presented here are secondary data analyses of the "Use, Support and Effect of Instructional Technology" study aimed at identifying predictors of teacher-directed student use of technology (TDS) in elementary classrooms. Using data from a convenience sample of 1040 teachers nested within 81 schools in 21 Massachusetts' school…
Descriptors: Structural Equation Models, Educational Technology, Teaching Methods, Computer Uses in Education
Yang, Der-Ching; Li, Mao-Neng – Educational Technology & Society, 2013
The purpose of this study was to examine the relative effectiveness of two different learning modes; namely, a computer animation self-directed learning approach and a paper version of the self-directed learning approach, to 5th-graders' number sense development. Two 5th-grade classes, 30 students each, were selected from a public elementary…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Mathematics, Instructional Effectiveness
