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Nezihe Korkmaz Guler; Kamuran Tarim – Pedagogical Research, 2024
The purpose of this study is to examine how the categorization skills of the 6th grade students in fractions are distributed and to determine the classification errors made by the students, along with the procedural errors of the students in fractions. The descriptive survey model, one of the quantitative research methods, was used in the study.…
Descriptors: Grade 6, Fractions, Mathematics Education, Classification
Su, Kun; Henson, Robert A. – Journal of Educational and Behavioral Statistics, 2023
This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of…
Descriptors: Classification, Models, Science Tests, Physics
Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
Stohlmann, Micah S. – Middle School Journal, 2023
Over the past ten years, interest in game-based learning has increased. This increase stems from the results of research that demonstrate the potential for increased mathematical learning and engagement when game-based learning was implemented. It has been noted that the most frequent way game-based learning is included in research is with drill…
Descriptors: Game Based Learning, Middle School Mathematics, Classification, Mathematics Instruction
Higgins, Traci; Mokros, Jan; Rubin, Andee; Sagrans, Jacob – Teaching Statistics: An International Journal for Teachers, 2023
In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and…
Descriptors: Classification, After School Programs, Data Analysis, Middle School Students
Hikmet Sevgin – International Journal of Assessment Tools in Education, 2023
This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…
Descriptors: Algorithms, Mathematics Education, Classification, Mathematics Achievement
Mesiti, Carmel; Grau, Valeska; Preiss, David D.; Lorca, Amaya – Mathematics Education Research Group of Australasia, 2022
The professional lexicons of middle school mathematics teachers in communities around the world were documented as part of The International Classroom Lexicon Project. This vocabulary captured teachers' naming of classroom pedagogical practice. Reported in this paper are attributes of the lexicons of teachers from Australia and Chile. A comparison…
Descriptors: Comparative Analysis, Teaching Methods, Middle School Teachers, Mathematics Teachers
Hsu, Chia-Ling; Chen, Yi-Hsin; Wu, Yi-Jhen – Practical Assessment, Research & Evaluation, 2023
Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…
Descriptors: Bayesian Statistics, Computation, International Assessment, Achievement Tests
Marks, Peter E. L.; Babcock, Ben; van den Berg, Yvonne H. M.; Gommans, Rob; Cillessen, Antonius H. N. – Journal of Early Adolescence, 2022
The goal of this study was to advance the conceptualization and measurement of adolescent popularity by exploring the commonly used composite score (popularity minus unpopularity). We used standardized peer nominations from 4,414 early adolescents (ages [approximately equal to] 12-14 years) from three samples collected in two countries. Popularity…
Descriptors: Early Adolescents, Peer Acceptance, Measurement Techniques, Middle School Students
de Gamboa, Genaro; Badillo, Edelmira; Font, Vicenç – Canadian Journal of Science, Mathematics and Technology Education, 2023
The making of mathematical connections in the classroom plays a dual role. While many studies highlight the importance of connections for the learning of mathematics, others inform of students' difficulties associated with the making of connections. This study aims to characterise the mathematical connections that arise in habitual classroom…
Descriptors: Mathematics Instruction, Classroom Techniques, Teaching Methods, Teacher Student Relationship
Min-Ying Tsai – SAGE Open, 2024
The study aimed to explore the Chinese version of the Frost Multidimensional Perfectionism Scale suitable for gifted junior high school students and to classify the types of perfectionism. The Frost Multidimensional Perfectionism Scale was translated into Chinese to evaluate the factor structure and typology of academically gifted students in…
Descriptors: Foreign Countries, Personality Traits, Measures (Individuals), Psychometrics
Kynigos, Chronis; Grizioti, Marianthi; Latsi, Maria – Digital Experiences in Mathematics Education, 2023
Classification is a complex process that involves scientific concepts and higher-order mental processes such as abstraction, generalization, and pattern recognition. Even though it is an important competence for understanding the world, dealing with data and information, and solving complex problems, the education system embeds just its simplest…
Descriptors: Classification, Thinking Skills, Mathematics Skills, Educational Games
Ryan, Zachary D.; DeLiema, David – Instructional Science: An International Journal of the Learning Sciences, 2023
This paper articulates an approach to incorporating instructor feedback in design-based research. Throughout the process of designing and implementing curriculum to support middle school students' debugging practices in a summer computer science workshop, our research and practice team utilized instructor-generated conjecture maps as boundary…
Descriptors: Teaching Methods, Feedback (Response), Teacher Attitudes, Computer Science Education
Alexander Unser – Journal of Beliefs & Values, 2024
This article draws on the ongoing discussion in some European countries about whether and how non-religious worldviews and pupils should be included in religious education (RE). This discussion lacks empirical knowledge about the specific learning conditions of these pupils in RE -- a desideratum that this article addresses. Building on a…
Descriptors: Religious Education, Beliefs, World Views, Classification
Shannon Dingman; Dawn Teuscher; Travis Olson; Amy Roth-McDuffie – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Mathematics teachers make numerous decisions that form lessons that in turn greatly influence what students learn. In making these decisions, teachers rely on their curricular reasoning (CR) to decide on what mathematics to teach, how to structure their lesson, and what problems or tasks to use to achieve their lesson goals. However, teachers…
Descriptors: Decision Making, Curriculum Design, Mathematics Curriculum, Mathematics Teachers