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Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – ACM Transactions on Computing Education, 2025
The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…
Descriptors: Artificial Intelligence, Middle School Students, High School Students, Computer Science Education
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Gul, 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
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Peter Pany; Florian D. Meier; Benno Dünser; Takuya Yanagida; Michael Kiehn; Andrea Möller – Journal of Biological Education, 2024
The term 'Plant Blindness' describes people tending to overlook plants, even though they have an enormous importance for life on earth, especially because of their ability to photosynthesise. Many attempts have been made to counteract plant blindness in biology education. However, so far there is no comprehensive tool to assess the degree of plant…
Descriptors: Plants (Botany), Botany, Science Education, Measurement Techniques
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Ilhan, Mustafa; Tasdelen Teker, Gülsen; Güler, Nese; Ergenekon, Ömer – Journal of Psychoeducational Assessment, 2022
Today, emoji have become a popular option for anchoring the categories of Likert-type scales applied to not only adults but also children. The aim of this study was to investigate the effects of category labeling with emoji by comparing the psychometric properties of the emoji- and verbal-anchored versions of the mathematics motivation scale…
Descriptors: Computer Mediated Communication, Nonverbal Communication, Visual Aids, Classification
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Manouchehri, Azita; Yao, Xiangquan; Fleming, Ali; Gomez, Monelle – Athens Journal of Education, 2016
In this work we examined the content of approximately 950 mathematics questions used in measuring achievement among 4th, 5th and 6th graders in the US in an attempt to determine how the current standardized examinations, which were developed to reflect new national curricular mandates, compared to the old measures used for the same purpose. Using…
Descriptors: Mathematics Achievement, Mathematics Instruction, Mathematics Tests, Item Analysis
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Akkas, Elif Nur; Türnüklü, Elif – Educational Research and Reviews, 2014
Pedagogical content knowledge is consisted of two components: student knowledge and teaching strategies. Teaching strategies was defined under two sub-headings as strategies for specific topics and specific strategies for any topic. The purpose of this study was to examine the method with which quadrilaterals were taught by mathematics teachers…
Descriptors: Middle School Teachers, Mathematics Teachers, Pedagogical Content Knowledge, Teaching Methods
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Slough, Scott W.; McTigue, Erin M.; Kim, Suyeon; Jennings, Susan K. – Reading Psychology, 2010
Middle school teachers tend to rely heavily on texts that have become increasing more visual. There is little information available about the graphical demands of general middle grades' science texts. The purpose of this study was to quantify the type and quality of the graphical representations and how they interacted with the textual material in…
Descriptors: Textbooks, Grade 6, Middle Schools, Textbook Content
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection