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Hlologelo Climant Khoza; Bob Maseko – Alberta Journal of Educational Research, 2024
Research in science education has established the significance of collaborative concept mapping as a powerful strategy in fostering conceptual learning. During such collaboration, students talk about concept map features (i.e., concepts to include, linking words, and cross-links) in constructing a joint map. The quality of the concept map produced…
Descriptors: Discourse Analysis, Concept Mapping, Audio Equipment, Biology
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Sarah F. Small – Journal of Economic Education, 2024
The author of this article describes an exercise for introductory economics courses in which students are exposed to the breadth of economic study using JEL codes. JEL codes have historically been used to classify economic subject matter and ultimately document the ever-evolving scope of economics. This discussion assignment provides an…
Descriptors: Economics Education, Introductory Courses, Learning Activities, Assignments
Jessica Gatewood – ProQuest LLC, 2024
This non-experimental causal-comparative study aims to explore the possible effect of expertise on learning experience design (LXD) deviation identification and the classification of these deviations in alignment with provided learning experience design constructs within a learning technology. Additionally, this study challenges Nielsen's (1993)…
Descriptors: Educational Technology, Novices, Expertise, Learning Experience
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Yo Hamada; Yuichi Suzuki – RELC Journal: A Journal of Language Teaching and Research, 2024
Shadowing is the act of vocalizing the speech one is listening to as simultaneously as possible. The primary function of shadowing is learners' listening skill and pronunciation skill development. Despite the importance of second language (L2) listening skills, this pedagogical technique has not received focal attention in the field. In this…
Descriptors: Speech Communication, Listening, Pronunciation, Listening Skills
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Muhammad Noor Kholid; Mutiara Hisda Mahmudah; Naufal Ishartono; Fredi Ganda Putra; Boris Forthmann – Cogent Education, 2024
Creative thinking transforms existing information, either from long-term memory or external sources, into new representations and innovative ideas. Creative thinking is an activity that processes received information to produce new representations and innovative ideas. Developing this skill is essential for students; however, recent research has…
Descriptors: Creative Thinking, Mathematics Instruction, Problem Solving, Cognitive Processes
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C. J. Van Lissa; M. Garnier-Villarreal; D. Anadria – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…
Descriptors: Multivariate Analysis, Structural Equation Models, Open Source Technology, Computation
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Johan Lyrvall; Zsuzsa Bakk; Jennifer Oser; Roberto Di Mari – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for…
Descriptors: Hierarchical Linear Modeling, Statistical Bias, Error of Measurement, Simulation
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Bruce Hurst – Global Studies of Childhood, 2024
How to work with older children has been ongoing question in Australian School Age Care (SAC) for over 30 years. Children aged 10-12 years are often spoken of as a problematic Other whose pose a risk to the younger children who attend SAC in higher proportions. This article aims to address the gap in research about what practices might work with…
Descriptors: Foreign Countries, Preadolescents, After School Programs, Child Caregivers
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Shin-Yu Kim; Inseong Jeon; Seong-Joo Kang – Journal of Chemical Education, 2024
Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Artificial Intelligence
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Lisa M. D. Archibald – Discover Education, 2024
The terms Language Disorder, Developmental Language Disorder (DLD), Language-based learning disabilities, Specific Learning Disorder, and Specific Learning Disability are commonly used to describe children struggling to learn at school. In this position paper, the definitions and distinctions between these terms are discussed, and key overlaps and…
Descriptors: Developmental Disabilities, Learning Disabilities, Language Impairments, Students with Disabilities
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Lisa Archibald – Learning Disabilities: A Multidisciplinary Journal, 2024
The terms Language Disorder, Developmental Language Disorder (DLD), Language-based learning disabilities, Specific Learning Disorder, and Specific Learning Disability are commonly used to describe children struggling to learn at school. In this position paper, the definitions and distinctions between these terms are discussed, and key overlaps and…
Descriptors: Developmental Disabilities, Learning Disabilities, Language Impairments, Students with Disabilities
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de Jong, Valentijn M. T.; Campbell, Harlan; Maxwell, Lauren; Jaenisch, Thomas; Gustafson, Paul; Debray, Thomas P. A. – Research Synthesis Methods, 2023
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random. We aimed to develop statistical methods that facilitate…
Descriptors: Classification, Meta Analysis, Bayesian Statistics, Evaluation Methods
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Cuadrado-García, Manuel; Montoro-Pons, Juan D.; Miquel-Romero, María-José – International Journal of Music Education, 2023
Music preferences have been shown to be determined by a diversity of factors such as cognitive, emotional, cultural, or experiential. Having studied music is also a factor that has been considered from a musicology standpoint and is linked to the accumulation of cultural capital, as analyzed in cultural economics, arts management, and the…
Descriptors: Music Education, Classification, Preferences, Cultural Capital
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Ritter, Frank E.; Qin, Michael; MacDougall, Korey; Chae, Chungil – Interactive Learning Environments, 2023
We created a list of more than 140 tools that can be used to create tutoring systems, from complete tutoring systems to low-level tools for preparing instructional materials. Based on this list, we present a preliminary ontology of system dimensions that can serve as a base for a comprehensive review or in building systems. We also note that: (a)…
Descriptors: Educational Resources, Intelligent Tutoring Systems, Computer Managed Instruction, Programmed Tutoring
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Ransom, Keith J.; Perfors, Andrew; Hayes, Brett K.; Connor Desai, Saoirse – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In describing how people generalize from observed samples of data to novel cases, theories of inductive inference have emphasized the learner's reliance on the contents of the sample. More recently, a growing body of literature suggests that different assumptions about how a data sample was generated can lead the learner to draw qualitatively…
Descriptors: Sampling, Generalization, Inferences, Logical Thinking
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