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Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
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Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
McKay, Heather; Haviland, Sara; Michael, Suzanne – Western Interstate Commission for Higher Education, 2020
The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…
Descriptors: Trust (Psychology), Longitudinal Studies, State Universities, State Agencies
Goodwin, Gretta L. – US Government Accountability Office, 2020
The Bureau of Prisons (BOP) is responsible for managing the care and custody of approximately 175,000 federal inmates--an estimated 20 percent of whom have been diagnosed with a substance use disorder. The Government Accountability Office (GAO) was asked to review BOP's efforts to provide drug treatment to federal inmates. This report (1)…
Descriptors: Correctional Institutions, Institutionalized Persons, Clinical Diagnosis, Substance Abuse
Nowicki, Jacqueline – US Government Accountability Office, 2020
Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…
Descriptors: Discipline, Behavior Modification, Public Schools, School Districts
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Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Elise Swanson; Joseph Kitchen; Tatiana Melguizo; Francisco Martorell – Annenberg Institute for School Reform at Brown University, 2020
We examine the impact of the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program serving students with a variety of majors, on students' science, technology, engineering, and math (STEM)-related outcomes. We use an explanatory mixed-methods design, which prioritizes the quantitative analyses and uses qualitative…
Descriptors: STEM Education, School Transition, Communities of Practice, Student Experience
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Ashraf, Rasha – Journal of Education for Business, 2017
This article presents Python codes that can be used to extract data from Securities and Exchange Commission (SEC) filings. The Python program web crawls to obtain URL paths for company filings of required reports, such as Form 10-K. The program then performs a textual analysis and counts the number of occurrences of words in the filing that…
Descriptors: Information Retrieval, Search Engines, Search Strategies, Online Searching
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Hao, Jinmei; Li, Suke – Journal of Education and Practice, 2017
With the adjustment of industrial structure of China in recent years, the market urgently needs different levels of professionals. Specialty education is an important part of higher education in China, has its unique advantages. Through the analysis of the history data of specialty education in our country, the result shows that the specialty…
Descriptors: Foreign Countries, Specialization, Specialists, Enrollment Trends
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Kim, Dongbin; Roh, Jin-young – Higher Education: The International Journal of Higher Education Research, 2017
This study explores whether patterns of doctorate attainment among Chinese and Korean international students in the USA have changed over time, both in terms of quantity (i.e., number of international students) and quality (i.e., the selectivity of the undergraduate and doctoral institutions), and whether these changes reflect the improvements in…
Descriptors: Foreign Students, Graduate Students, Educational Attainment, Asians
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Bodily, Robert; Nyland, Rob; Wiley, David – International Review of Research in Open and Distributed Learning, 2017
The RISE (Resource Inspection, Selection, and Enhancement) Framework is a framework supporting the continuous improvement of open educational resources (OER). The framework is an automated process that identifies learning resources that should be evaluated and either eliminated or improved. This is particularly useful in OER contexts where the…
Descriptors: Open Source Technology, Educational Resources, Educational Improvement, Data Analysis
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Hernández-Nanclares, Núria; García-Muñiz, Ana S.; Rienties, Bart – Interactive Learning Environments, 2017
Although the importance of boundary spanning in blended and online learning is widely acknowledged, most educational research has ignored whether and how students learn from others outside their assigned group. One potential approach for understanding cross-boundary knowledge sharing is Social Network Analysis (SNA). In this article, we apply four…
Descriptors: Cooperative Learning, Blended Learning, Group Membership, Electronic Learning
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Yilmaz Genc, Melek Merve; Akinci Cosgun, Aysegul; Pala, Sengul – Eurasian Journal of Educational Research, 2017
Purpose: Early childhood is of critical importance in terms of cognitive, affective and physical development. Undoubtedly, a substantially stimulating environment and opportunities offered to children, as well as appropriate educational materials, have an impact on their development. The object of this study is to investigate the mathematical…
Descriptors: Foreign Countries, Early Childhood Education, Childrens Literature, Books
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