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Download full textGul, Seyda – Elementary School Forum (Mimbar Sekolah Dasar), 2021
The fungi kingdom is among the important topics of biology, and students can develop misunderstandings and misconceptions about this subject. This study aims to determine misunderstandings and misconceptions of 5th-grade students about fungi. The participants of the study consisted of 22 (12 girls, 10 boys) fifth graders of an elementary school in…
Descriptors: Grade 5, Elementary School Students, Misconceptions, Biological Sciences
Aleyna Altan; Zehra Taspinar Sener – Online Submission, 2023
This research aimed to develop a valid and reliable test to be used to detect sixth grade students' misconceptions and errors regarding the subject of fractions. A misconception diagnostic test has been developed that includes the concept of fractions, different representations of fractions, ordering and comparing fractions, equivalence of…
Descriptors: Diagnostic Tests, Mathematics Tests, Fractions, Misconceptions
Baktemur, Gamze; Civak, Rukiye Ayan; Bostan, Mine Isiksal – European Journal of Science and Mathematics Education, 2021
The purpose of this study is to examine pre-service middle school mathematics teachers' (mis)conceptions related to definitions, classifications, and inclusion relations of convex quadrilaterals through a case study research design. The participants of the study were 20 pre-service middle school mathematics teachers who attended a must course,…
Descriptors: Preservice Teachers, Preservice Teacher Education, Middle School Mathematics, Undergraduate Students
Rakes, Christopher R.; Ronau, Robert N. – International Journal of Research in Education and Science, 2019
The present study examined the ability of content domain (algebra, geometry, rational number, probability) to classify mathematics misconceptions. The study was conducted with 1,133 students in 53 algebra and geometry classes taught by 17 teachers from three high schools and one middle school across three school districts in a Midwestern state.…
Descriptors: Mathematics Instruction, Secondary School Teachers, Middle School Teachers, Misconceptions
Direct linkHourigan, Mairead; Leavy, Aisling – Australian Primary Mathematics Classroom, 2015
Mairead Hourigan and Aisling Leavy describe a range of teaching and learning activities focusing on the identification and classification of 2-dimensional shapes. The activities described are useful in highlighting students' misconceptions regarding non-traditioanl and non-prototypical shapes.
Descriptors: Mathematics Instruction, Instructional Design, Units of Study, Geometry
Sanagi, Tomomi – Contemporary Issues in Education Research, 2016
Teachers' misunderstanding the concept of inclusive education will not lead to good practices, rather make an exclusive environment for pupils with special educational needs in mainstream schools. This study clarified teachers' attitudes towards the image of inclusive education with conjoint analysis and cluster analysis. The participants for this…
Descriptors: Teacher Attitudes, Attitudes toward Disabilities, Inclusion, Misconceptions
Ganesan, Raman; Dindyal, Jaguthsing – Mathematics Education Research Group of Australasia, 2014
In this study we set out to investigate the errors made by students in logarithms. A test with 16 items was administered to 89 Secondary three students (Year 9). The errors made by the students were categorized using four categories from a framework by Movshovitz-Hadar, Zaslavsky, and Inbar (1987). It was found that students in the top third were…
Descriptors: Foreign Countries, Secondary School Mathematics, Secondary School Students, Grade 8
Töman, Ögr. Gör. Ufuk; Ergen, Yusuf – Online Submission, 2014
Today's World is in period of rapid development of science and technology. There is science and technology education that not based on rote, practical on the basis of development in science and technology. Misconceptions are a major obstacle in order to take the desired efficiency. Because concepts that learned wrong obstacle attainment of right…
Descriptors: Foreign Countries, Science Education, Astronomy, Scientific Attitudes
Ross, Ann; Vanderspool, Staria – Science Scope, 2004
Students can use seed characteristics to discriminate between the different kinds of legumes using taxonomic classification processes of sorting and ranking, followed by construction of taxonomic keys. The application of the Learning Cycle process to taxonomic principles, hierarchical classification, and construction of keys presents the…
Descriptors: Learning Processes, Entomology, Classification, Science Instruction
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
