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Gilboa, Nava; Dreyfus, Tommy; Kidron, Ivy – Educational Studies in Mathematics, 2023
The notion of definition is a central building block of mathematics. In addition to specific definitions, it is desirable that students learn about meta-mathematical aspects of definitions such as their role of classification, and about characteristics of definitions such as arbitrariness. We investigated how such meta-mathematical aspects emerge…
Descriptors: Mathematics Education, Definitions, Classification, Mathematical Concepts
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He, Qiwei; Shi, Qingzhou; Tighe, Elizabeth L. – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
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Gee, Nick; Parrish, Abigail; Puttick, Steven – Teacher Development, 2023
Subject departments are an increasingly important unit of analysis for research on schools and beginning teachers' experiences. By analysing a practice-based typology of eight departmental types through an exploratory factor analysis of questionnaires completed by beginning teachers (n = 55), the authors refined the typology to four (hierarchical;…
Descriptors: Classification, Departments, Secondary Schools, Intellectual Disciplines
He, Dan – ProQuest LLC, 2023
This dissertation examines the effectiveness of machine learning algorithms and feature engineering techniques for analyzing process data and predicting test performance. The study compares three classification approaches and identifies item-specific process features that are highly predictive of student performance. The findings suggest that…
Descriptors: Artificial Intelligence, Data Analysis, Algorithms, Classification
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Gani, Mohammed Osman; Ayyasamy, Ramesh Kumar; Sangodiah, Anbuselvan; Fui, Yong Tien – Education and Information Technologies, 2023
The automated classification of examination questions based on Bloom's Taxonomy (BT) aims to assist the question setters so that high-quality question papers are produced. Most studies to automate this process adopted the machine learning approach, and only a few utilised the deep learning approach. The pre-trained contextual and non-contextual…
Descriptors: Models, Artificial Intelligence, Natural Language Processing, Writing (Composition)
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Justine Hamilton; McKay Moore Sohlberg; Lyn Turkstra – International Journal of Language & Communication Disorders, 2024
Background: Cognitive rehabilitation is a complex and specialized area of practice, as it aims to support individuals with diverse neuropsychological profiles, personal characteristics, and intersectionalities in achieving meaningful, functional change in personally relevant aspects of their everyday lives. In many ways, cognitive rehabilitation…
Descriptors: Rehabilitation, Cognitive Processes, Classification, Models
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Sarah H. Solomon; Anna C. Schapiro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…
Descriptors: Concept Formation, Learning Processes, Verbal Stimuli, Visual Stimuli
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Hayat Sahlaoui; El Arbi Abdellaoui Alaoui; Said Agoujil; Anand Nayyar – Education and Information Technologies, 2024
Predicting student performance using educational data is a significant area of machine learning research. However, class imbalance in datasets and the challenge of developing interpretable models can hinder accuracy. This study compares different variations of the Synthetic Minority Oversampling Technique (SMOTE) combined with classification…
Descriptors: Sampling, Classification, Algorithms, Prediction
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Marcela Pessoa; Marcia Lima; Fernanda Pires; Gabriel Haydar; Rafaela Melo; Luiz Rodrigues; David Oliveira; Elaine Oliveira; Leandro Galvao; Bruno Gadelha; Seiji Isotani; Isabela Gasparini; Tayana Conte – IEEE Transactions on Learning Technologies, 2024
Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…
Descriptors: Educational Environment, Game Based Learning, Classification, Learner Engagement
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K. I. Senadhira; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Education and Information Technologies, 2024
The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education has become important during the pandemic as well, academics and students have recognized the value of online learning to avoid their challenges. The objective of this study is to categorize peoples'…
Descriptors: Classification, Artificial Intelligence, Social Media, Electronic Learning
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Simon Y. W. Li; Alan L. F. Lee; Jenny W. S. Chiu; Robert G. Loeb; Penelope M. Sanderson – Cognitive Research: Principles and Implications, 2024
Auditory stimuli that are relevant to a listener have the potential to capture focal attention even when unattended, the listener's own name being a particularly effective stimulus. We report two experiments to test the attention-capturing potential of the listener's own name in normal speech and time-compressed speech. In Experiment 1, 39…
Descriptors: Attention, Auditory Stimuli, Listening, Speech Communication
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Shiri Lev-Ari – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Categorization is the foundation of many cognitive functions. Importantly, the categories we use to structure the world are informed by the language we speak. For example, whether we perceive dark blue, light blue, and green to be shades of one, two, or three different colors depends on whether we speak Berinmo, English, or Russian, respectively.…
Descriptors: Language Usage, Classification, Computer Simulation, Community Characteristics
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Shulan Xia; Peida Zhan; Kennedy Kam Ho Chan; Lijun Wang – Journal of Research in Science Teaching, 2024
Concept mapping is widely used as a tool for assessing students' understanding of science. To fully realize the diagnostic potential of concept mapping, a scoring method that not only provides an objective and accurate assessment of students' drawn concept maps but also provides a detailed understanding of students' proficiency and deficiencies in…
Descriptors: Concept Mapping, Student Evaluation, Scoring, Science Education
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Y. Yudhistian; Tabitha Sri Hartati Wulandari – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Field-Based Practicum (FBP) about Pterydophyta diversity material in Low plant botany learning is very important, even though the facts in the field show that FBP is still minimally carried out. This research aims to utilize the potential diversity of Pterydophyta in the Tuban-Lamongan Pantura area as a support for FBP about low plant botany…
Descriptors: Plants (Botany), Science Instruction, Genetics, Classification
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Génesis Guarimata-Salinas; Joan Josep Carvajal; M. Dolores Jiménez López – Higher Education: The International Journal of Higher Education Research, 2024
This study focuses on the changes that doctoral education has experienced in the last decades and discusses the role of doctoral supervisors. The figure of doctoral supervisor continues to be a subject of much debate; therefore, the aim of this study is to provide a universal, global, and common definition that clearly establishes the roles and…
Descriptors: Supervision, Educational Change, Role Perception, Classification
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