This study was conducted to synthesize previous studies and provide educators and administrators an overall picture of the research that has been done so far in technology education. By providing a research-based data and recommendations regarding which areas of research need to be studied in greater detail, it could lead to the resurgence of K--12 and college technology education programs that professionals and learners clearly perceive as meeting the needs of society;The characteristics of students' perceptions towards technology as they progress through school were investigated. To this end, a meta-analytic approach with three specific objectives was proposed to: (1) integrate the similarities and differences of previous studies using quantitative and qualitative research methods as appropriate; (2) investigate by grade level, the characteristics of students' perceptions of technology from elementary through university levels; and (3) identify key issues for future studies of students' perceptions of technology;Six attitude sub-scales (interest, curriculum, gender, career, difficulty, and consequence) and four concept sub-scales (technology and society, technology and science, technology and skills, and technology and pillars) were investigated from the study conducted on students' perceptions of technology, titled "Pupils Attitude Towards Technology (PATT)." The findings indicated that gender was the most explanatory factor and frequently used variable for studies on students' attitudes toward technology. The boys rated higher than girls on the interest, consequences, curriculum and career scales, while girls viewed technology as an activity for both boys and girls alike;Because many studies provided data that were difficult to integrate with current research on technology education, it was recommended that more studies should be conducted using multiple regression analysis to identify explanatory variables for students' attitudes toward technology. Many studies compared different groups without the use of statistical measures such as the t or F test. The use of more appropriate statistical methods and careful interpretation of results are recommended. Those studies wherein the primary author did not report all numerical data needed to conduct statistical analysis should be republished. This would enable other researchers to conduct a meta-analysis by integrating the data from previous studies.