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Lamprianou, Iasonas – Sociological Methods & Research, 2023
This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…
Descriptors: Interrater Reliability, Coding, Social Networks, Network Analysis
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Cheng, Maurice M. W.; Gilbert, John K. – International Journal of Science Education, 2014
This study investigated the mental representations of metallic bonding and the malleability of metals held by three male students aged 14-15 (Year 10) who were attending a Hong Kong school. One student was selected by their chemistry teacher as representing each of the highest, the medium, and the lowest level of attainment in chemistry in a…
Descriptors: Foreign Countries, Chemistry, Science Instruction, Secondary School Science
Didis, Nilüfer; Eryilmaz, Ali; Erkoç, Sakir – Physical Review Special Topics - Physics Education Research, 2014
This paper is the first part of a multiphase study examining students' mental models about the quantization of physical observables--light, energy, and angular momentum. Thirty-one second-year physics and physics education college students who were taking a modern physics course participated in the study. The qualitative analysis of data revealed…
Descriptors: Science Instruction, Cognitive Structures, Models, Visualization
Marshall, Jilll A.; Castillo, Adam J.; Cardenas, M. Bayani – Journal of Geoscience Education, 2015
We investigated the effect of modeling and visualization resources on upper-division, undergraduate and graduate students' performance on an open-ended assessment of their understanding of physical hydrology. The students were enrolled in one of five sections of a physical hydrology course. In two of the sections, students completed homework…
Descriptors: Earth Science, Science Instruction, Scientific Concepts, Concept Formation
Qin, Jianjian; Ogle, Christin M.; Goodman, Gail S. – Journal of Experimental Psychology: Applied, 2008
In 3 experiments, the authors examined factors that, according to the source-monitoring framework, might influence false memory formation and true/false memory discernment. In Experiment 1, combined effects of warning and visualization on false childhood memory formation were examined, as were individual differences in true and false childhood…
Descriptors: Child Abuse, Attachment Behavior, Visualization, Individual Differences
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
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

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