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Kahraman, Sakip – Canadian Journal of Science, Mathematics and Technology Education, 2023
The study investigated the effects of the use of dynamic computer visualizations (DCVs) integrated with the POE (Predict-Observe-Explain) sequence on learners' understanding and retention of solubility and on their motivation to learn chemistry. In the research, nonequivalent groups pretest--posttest control and comparison group design was used.…
Descriptors: College Freshmen, Preservice Teacher Education, Science Instruction, Foreign Countries
Meydan, Engin – Educational Policy Analysis and Strategic Research, 2020
Chemistry as a discipline in general incorporates abstract concepts, which should be visualized through experiment- and application-oriented methods. It is a well-known fact in Turkey that chemistry class offered by simple and traditional methods cannot be understood by students at a satisfactory level. Such chemical subjects as atoms, molecules,…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Teaching Methods
Buldur, Serkan – International Journal of Science Education, 2017
The aim of this longitudinal study was to investigate the changes in preservice science teachers' beliefs about science teaching during a science teacher training programme. The study was designed as a panel study, and the data were collected from the same participants at the end of each academic year during a four-year period. The participants…
Descriptors: Longitudinal Studies, Preservice Teachers, Student Attitudes, Science Instruction
Balta, Nuri – European Journal of Physics Education, 2015
Visualizing physical concepts through models is an essential method in many sciences. While students are mostly proficient in handling mathematical aspects of problems, they frequently lack the ability to visualize and interpret abstract physical concepts in a meaningful way. In this paper, initially the electric circuits and related concepts were…
Descriptors: Science Instruction, Scientific Concepts, Equipment, Visualization
Kurnaz, Mehmet Altan; Eksi, Cigdem – Educational Sciences: Theory and Practice, 2015
Students often have difficulties understanding abstract physics concepts, such as solid friction. This study examines high school students' mental models of solid friction through a case study of 215 high school students in the ninth through twelfth grades. An achievement test with three open-ended questions was created, with questions limited to…
Descriptors: Physics, Science Instruction, Secondary School Science, High School Students
Ocak, Mehmet Akif; Topal, Arzu Deveci – EURASIA Journal of Mathematics, Science & Technology Education, 2015
The present study examines levels of satisfaction and perceptions of the students taking the blended anatomy course in Turkish Higher Education System. 15 students selected from 213 medical students participated in the study. An interview form was designed to identify the views of the students about the present study. The interview results were…
Descriptors: Foreign Countries, Anatomy, Science Instruction, Medical Education
Didis, Nilüfer; Eryilmaz, Ali; Erkoç, Sakir – Physical Review Special Topics - Physics Education Research, 2014
This paper is the first part of a multiphase study examining students' mental models about the quantization of physical observables--light, energy, and angular momentum. Thirty-one second-year physics and physics education college students who were taking a modern physics course participated in the study. The qualitative analysis of data revealed…
Descriptors: Science Instruction, Cognitive Structures, Models, Visualization
Altiparmak, Melek; Nakiboglu Tezer, Mahmure – Online Submission, 2009
Understanding life on a molecular level is greatly enhanced when students are given the opportunity to visualize the molecules. Especially understanding DNA structure and function is essential for understanding key concepts of molecular biology such as DNA, central dogma and the manipulation of DNA. Researches have shown that undergraduate…
Descriptors: Foreign Countries, Molecular Biology, Visualization, Models