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cognitive, affective, and psychomotor outcome criteria. Similarly, there is scope for employing classroom environment characteristics as criterion variables in studies into factors influencing the classroom environment.
In particular, curriculum evaluators and teachers have not used classroom environment criteria nearly as much as they might have when evaluating educational innovations, new curricula, or teaching approaches. Similarly, the short forms could be used in research analogous to prior studies which have investigated various factors (e.g., class size, grade level, subject matter, type of school) which affect the classroom environment. This article also identified several promising new research directions which are based on the use of both actual and preferred forms of classroom environment scales. These include investigations of differences between student and teacher perceptions of actual and preferred environment, person environment fit studies of whether students achieve cognitive and affective aims better when in their preferred environment, and practical attempts by teachers to make use of environment assessments in facilitating improvements in their classrooms. It is hoped that the existence of the economical and reliable short forms of the classroom environment instruments described in this article will assist researchers and teachers wishing to follow some of these promising directions.
This study evidences confirmation of the research studies at the four past decades, for example; using the ICEQ, associations with students' cognitive and affective outcomes have been established for a sample of approximately 68 senior high school chemistry classes in 489 senior high school biology students in Australia and 1,592 grade 10 chemistry students in Singapore (Wong & Fraser 1996[19]). Using an instrument suited for computer-assisted instruction classrooms, Teh and Fraser (1995b[20]) established associations between classroom environment, achievement and attitudes among a sample of 671 high school geography students in 24 classes in Singapore. Using the QTI, associations between student outcomes and perceived patterns of teacher-student interaction were reported for samples of 489 senior high school biology students in Australia 3,994 high school science and mathematics students in Australia 1,512 primary school mathematics students in Singapore and 2,256 lower secondary science dream school project students in Thailand (Santiboon, 2013[21]).
Acknowledgments
Firstly, I would like to thank the 168 students in Roi-Et Wittayalai School at the Grade level 10 who were part of the study Dr. PreedaSammana, the schooling administer and Mrs. WiriyapornMontripoeand is the teacher trainer. who allowed students to complete the questionnaire.
Second, I must thank you my supervisor; Dr. TanawatSomtuaand Dr. PanwilaiChomchid; my co-supervisor, they understood and never pushed me to build up of my research that it was going on work, completely.
Finally, my greatest thanks go to Assist. Prof. Dr. ToansakulSantiboon, as my extra editor and reviewer, he has understood my professional and personal commitments throughout this study always encouraged. Without his supporting guidelines, I would never have achieved the completion of this research.