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Hayley Didriksen – Grantee Submission, 2022
In the Spring of 2019, the Center for Education Policy Research at Harvard University launched the National Center for Rural Education Research Networks (NCRERN) with funding from the U.S. Department of Education's Institute of Education Sciences. This overview provides a step-by- step description of NCRERN's continuous improvement model. NCRERN's…
Descriptors: Educational Research, Rural Education, Networks, Educational Improvement
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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
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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
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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2023
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Open-ended comprehension questions are a common type of assessment used to evaluate how well students understand one of multiple documents. Our aim is to use natural language processing (NLP) to infer the level and type of inferencing within readers' answers to comprehension questions using linguistic and semantic features within their responses.…
Descriptors: Natural Language Processing, Taxonomy, Responses, Semantics
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
Jones, Michael N.; Gruenenfelder, Thomas M.; Recchia, Gabriel – Grantee Submission, 2017
Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…
Descriptors: Semantics, Computational Linguistics, Spatial Ability, Proximity
Wang, Jianjun – Grantee Submission, 2013
On September 22, 2012, NSF announced its decision to fund a three-year project, "Models for Information Assurance Education and Outreach" (MIAEO). In the first year of grant operation, MIAEO has invited 18 high school students, two K-12 teachers, and two CSUB student assistants to conduct research explorations in the fields of…
Descriptors: Information Security, Computer Science Education, Improvement Programs, Program Effectiveness
Wang, Jianjun – Grantee Submission, 2015
Over the past three years, California State University, Bakersfield received NSF funding to support hands-on explorations in "network security" and "cryptography" through Research Experience Vitalizing Science-University Program (REVS-UP). In addition to the summer bridge component, the grant included development of…
Descriptors: Technology, Computer Security, Crime Prevention, Computer Networks
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Wang, Jianjun – Grantee Submission, 2014
"Models for Information Assurance Education and Outreach" (MIAEO) is an NSF-funded, three-year project to support hands-on explorations in "network security" and "cryptography" through Research Experience Vitalizing Science-University Program (REVS-UP) at California State University, Bakersfield. In addition, the…
Descriptors: Information Technology, Computer Networks, Curriculum Development, Undergraduate Students