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Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N. – Cognitive Science, 2016
We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…
Descriptors: Memory, Semantics, Associative Learning, Networks
Lamprianou, Iasonas – Educational and Psychological Measurement, 2018
It is common practice for assessment programs to organize qualifying sessions during which the raters (often known as "markers" or "judges") demonstrate their consistency before operational rating commences. Because of the high-stakes nature of many rating activities, the research community tends to continuously explore new…
Descriptors: Social Networks, Network Analysis, Comparative Analysis, Innovation
Tyner, Bryan C.; Fienup, Daniel M. – Journal of Applied Behavior Analysis, 2015
Graphing is socially significant for behavior analysts; however, graphing can be difficult to learn. Video modeling (VM) may be a useful instructional method but lacks evidence for effective teaching of computer skills. A between-groups design compared the effects of VM, text-based instruction, and no instruction on graphing performance.…
Descriptors: Graphs, Video Technology, Models, Teaching Methods
Wang, Hong-Syuan; Chen, Sufen; Yen, Miao-Hsuan – Physical Review Physics Education Research, 2021
This study aims to examine the effectiveness of metacognitive scaffolding in different inquiry tasks related to optics. Two high school classes participated in this study. One class, the treatment group (n = 33), which integrated metacognitive prompts into the simulation-based inquiry, was compared to the other class, the control group (n = 34),…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Science Process Skills, Teaching Methods
Aguilar, Stephen J. – Journal of Research on Technology in Education, 2018
This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…
Descriptors: Comparative Analysis, Visualization, At Risk Students, College Students
Cipková, Elena; Karolcík, Štefan; Sládková, Klára; Ušáková, Katarína – International Research in Geographical and Environmental Education, 2018
The objective of our research was to identify the level of the acquired scientific literacy among Geography students studying bachelor's studies and compare it with the level of scientific literacy among students of other academic disciplines within the natural sciences. To identify the level of scientific literacy among students, we applied the…
Descriptors: Scientific Literacy, Teacher Education, Geography Instruction, Bachelors Degrees
Muttaqin, Haniful; Putri, Ratu Ilma Indra; Somakim – Journal on Mathematics Education, 2017
This research was motivated by several studies which show that students have difficulties in understanding the material ratio, wherein one contributing factor is the lack of ability in proportional reasoning. The purpose of this study is to produce a trajectory of learning to help students develop abilities in comparison reasoning. Solution…
Descriptors: Mathematics Instruction, Mathematical Concepts, Grade 7, Graphs
Maries, Alexandru; Lin, Shih-Yin; Singh, Chandralekha – Physical Review Physics Education Research, 2017
Prior research suggests that introductory physics students have difficulty with graphing and interpreting graphs. Here, we discuss an investigation of student difficulties in translating between mathematical and graphical representations for a problem in electrostatics and the effect of increasing levels of scaffolding on students'…
Descriptors: Physics, Introductory Courses, Science Instruction, Problem Solving
Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsch-Pasek, Kathryn.; Newcombe, Nora S. – Grantee Submission, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, Naming
Harrison, Sean; Jones, Hayley E.; Martin, Richard M.; Lewis, Sarah J.; Higgins, Julian P. T. – Research Synthesis Methods, 2017
Meta-analyses combine the results of multiple studies of a common question. Approaches based on effect size estimates from each study are generally regarded as the most informative. However, these methods can only be used if comparable effect sizes can be computed from each study, and this may not be the case due to variation in how the studies…
Descriptors: Meta Analysis, Sample Size, Effect Size, Comparative Analysis
Duijzer, Carolien; Van den Heuvel-Panhuizen, Marja; Veldhuis, Michiel; Doorman, Michiel – ZDM: The International Journal on Mathematics Education, 2019
Reasoning about graphical representations representing dynamic data (e.g., distance changing over time), including interpreting, creating, changing, combining, and comparing graphs, can be considered a domain-specific operationalization of the general twenty-first century skills of creative, critical thinking and solving problems. This paper…
Descriptors: Elementary School Students, Motion, Graphs, Thinking Skills
Christensen, Steven S.; Spackman, Jonathan S. – Journal of Educators Online, 2017
This paper explores a new tool for instructional designers. By calculating and graphing the Student Momentum Indicator (M) for 196 university-level online courses and by employing the constant comparative method within the grounded theory framework, eight distinct graph shapes emerged as meaningful categories of dropout behavior. Several of the…
Descriptors: Instructional Design, Distance Education, College Students, Comparative Analysis
Wagner, Dana L.; Hammerschmidt-Snidarich, Stephanie M.; Espin, Christine A.; Seifert, Kathleen; McMaster, Kristen L. – Learning Disabilities Research & Practice, 2017
Teachers must be proficient at using data to evaluate the effects of instructional strategies and interventions, and must be able to make, describe, justify, and validate their data-based instructional decisions to parents, students, and educational colleagues. An important related skill is the ability to accurately read and interpret…
Descriptors: Preservice Teachers, Progress Monitoring, Curriculum Based Assessment, Teacher Competencies
Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsh-Pasek, Kathryn; Newcombe, Nora S. – Journal of Cognition and Development, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, School Readiness
Van den Eynde, Sofie; van Kampen, Paul; Van Dooren, Wim; De Cock, Mieke – Physical Review Physics Education Research, 2019
We report on a study investigating the influence of context, direction of translation, and function type on undergraduate students' ability to translate between graphical and symbolic representations of mathematical relations. Students from an algebra-based and a calculus-based physics course were asked to solve multiple-choice items in which they…
Descriptors: Graphs, Equations (Mathematics), Mathematics Instruction, Physics

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