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Elise Cappella; Madeline DeShazer; Christine Park; Jenna Watling Neal; Deinera Exner-Cortens; Julie S. Owens – Grantee Submission, 2025
Coaching can increase elementary school teachers' implementation of evidence-based classroom practices, including equity-centered or culturally responsive practices. However, coaching by personnel external to schools can be expensive and difficult to sustain. Community science principles and social network research suggest the potential of…
Descriptors: Social Networks, Network Analysis, Peer Teaching, Coaching (Performance)
Elizabeth Farley-Ripple; Ji-Young Yun – Grantee Submission, 2021
Prior literature suggests a social network perspective is instructive for understanding and building research-use capacity. Although educators' professional networks have been found to contribute the implementation of reform, professional learning, and instructional improvement, evidence about their role in supporting schools' use of research…
Descriptors: Social Networks, Research Utilization, Educational Research, Ecology
Xu, Ziqian; Hai, Jiarui; Yang, Yutong; Zhang, Zhiyong – Grantee Submission, 2022
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…
Descriptors: Social Networks, Network Analysis, Data Analysis, Bayesian Statistics
Chen, Jing; Lin, Tzu-Jung; Jiang, Hui; Justice, Laura; Purtell, Kelly; Logan, Jessica – Grantee Submission, 2020
Classroom social networks are influential to young children's cognitive, social-emotional, and language development, but assessment and analyses of social networks are complex. Findings have been mixed regarding whether different informants (teachers, children, researchers) are congruent to their perceived classroom social networks. There is also…
Descriptors: Social Networks, Preschool Teachers, Preschool Children, Congruence (Psychology)
Robert-Mihai Botarleanu; Mihai Dascalu; Scott Andrew Crossley; Danielle S. McNamara – Grantee Submission, 2022
The ability to express yourself concisely and coherently is a crucial skill, both for academic purposes and professional careers. An important aspect to consider in writing is an adequate segmentation of ideas, which in turn requires a proper understanding of where to place paragraph breaks. However, these decisions are often performed…
Descriptors: Paragraph Composition, Text Structure, Automation, Identification
Ionita, Remus Florentin; Dascalu, Mihai; Corlatescu, Dragos-Georgian; McNamara, Danielle S – Grantee Submission, 2021
Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from…
Descriptors: Prediction, Learning Analytics, Authors, Network Analysis
Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2021
Whether birds of a feather flock together or opposites attract is a classical research question in social and personality psychology. In most existing studies, correlation-based techniques are commonly used to study the similarity/dissimilarity among social entities. Social network data comprises two primary components: actors and the possible…
Descriptors: Personality Traits, Friendship, Interpersonal Attraction, Correlation
Dascalu, Marina-Dorinela; Ruseti, Stefan; Dascalu, Mihai; McNamara, Danielle; Trausan-Matu, Stefan – Grantee Submission, 2020
Reading comprehension requires readers to connect ideas within and across texts to produce a coherent mental representation. One important factor in that complex process regards the cohesion of the document(s). Here, we tackle the challenge of providing researchers and practitioners with a tool to visualize text cohesion both within (intra) and…
Descriptors: Network Analysis, Graphs, Connected Discourse, Reading Comprehension
Lijin Zhang; Xueyang Li; Zhiyong Zhang – Grantee Submission, 2023
The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…
Descriptors: Computer Software, Programming Languages, Data Analysis, Visual Aids
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
Chelsea Daniels; Yoav Bergner; Collin Lynch; Tiffany Barnes – Grantee Submission, 2018
In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…
Descriptors: Hypothesis Testing, Social Networks, Network Analysis, MOOCs
Peng Peng; Wei Wang; Marissa J. Filderman; Wenxiu Zhang; Lifeng Lin – Grantee Submission, 2023
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…
Descriptors: Reading Comprehension, Reading Strategies, Reading Difficulties, Reading Instruction
Comstock, Meghan; Supovitz, Jonathan; Kaul, Maya – Grantee Submission, 2021
Purpose: This study examines the relational dynamics between teachers and formal teacher leaders (TLs). We examine the association between relationship structure and leader-member exchange (LMX) quality and the extent to which LMX mediates the relationship between social network (SN) measures of dyadic relationships and TL influence.…
Descriptors: Social Networks, Teacher Leadership, Correlation, Teacher Attitudes
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
Cioaca, Valentin Sergiu; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the…
Descriptors: Documentation, Computer Software, Open Source Technology, Algorithms
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