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James Edward Hill; Catherine Harris; Andrew Clegg – Research Synthesis Methods, 2024
Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, accelerating the review process, and enhancing the quality and reliability of extracted data. In this…
Descriptors: Artificial Intelligence, Search Engines, Data Collection, Natural Language Processing
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Mengliyev, Bakhtiyor; Shahabitdinova, Shohida; Khamroeva, Shahlo; Gulyamova, Shakhnoza; Botirova, Adiba – Journal of Language and Linguistic Studies, 2021
This article is dedicated to the issue of morphological analysis and synthesis of word forms in a linguistic analyzer, which is a significant feature of corpus linguistics. The article discourses in detail the morphological analysis, the creation of artificial language, grammar and analyzer, the general scheme of the analysis program that…
Descriptors: Morphology (Languages), Computational Linguistics, Computer Software, Artificial Languages
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Ayers, Meredith – Issues in Science and Technology Librarianship, 2020
Microsoft Academic (MA) claims to be an academic search engine that uses knowledge discovery, machine learning, and semantic inference to help users search for scholarly information in new and better ways. However, this is not the first iteration of Microsoft Academic. Since its debut in 2004 as Microsoft Academic Search (MAS) (Ortega &…
Descriptors: Search Engines, Computer Software Evaluation, Research, Information Retrieval
Abt Associates, 2022
Internet search engines have empowered citizens in their quest for seeking insights on a multitude of issues. Knowledge curation and evidence review requires systematic and rigorous fact-finding, baseline subject matter expertise, and the right tool to work at scale. Finding and summarizing knowledge has a direct impact on the research and…
Descriptors: Automation, Knowledge Management, Natural Language Processing, Bibliometrics
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Masood, Sara; Kothari, Anita; Regan, Sandra – Evidence & Policy: A Journal of Research, Debate and Practice, 2020
The use of robust research findings in public health policy has been strongly encouraged for bridging the evidence-policy gap. To assess and further promote evidence uptake, understanding how research evidence is being used by decision makers is very important. This systematic review examined primary studies exploring the use of research evidence…
Descriptors: Public Health, Policy Formation, Evidence, Barriers
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Marty, Paul – Journal of Education for Library and Information Science, 2022
This article presents an overview of the iterative design and evolution of an undergraduate course at Florida State University that offers students the opportunity to explore how society's increased reliance on information technology has changed the way in which we interact with each other and the world around us. Drawing upon course iterations…
Descriptors: Search Engines, Age Groups, Undergraduate Students, Educational Technology
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Klopfenstein, D. V.; Dampier, Will – Research Synthesis Methods, 2021
We read with considerable interest the study by Gusenbauer and Haddaway (Gusenbauer and Haddaway, 2020, Research Synthesis Methods, doi:10.1002/jrsm.1378) comparing the systematic search qualities of 28 search systems, including Google Scholar (GS) and PubMed. Google Scholar and PubMed are the two most popular free academic search tools in biology…
Descriptors: Search Engines, Search Strategies, Databases, Information Retrieval
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Krutka, Daniel G.; Smits, Ryan M.; Willhelm, Troy A. – TechTrends: Linking Research and Practice to Improve Learning, 2021
Google is a multinational technology company whose massive advertising profits have allowed them to expand into many areas, including education. While the company has increasingly faced public scrutiny, the use of Google software and hardware in schools has often resulted in little debate. In this paper, we conduct a technoethical audit of Google…
Descriptors: Search Engines, Educational Technology, Technology Uses in Education, Ethics
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Mai, Jens-Erik – Journal of Education for Library and Information Science, 2019
This paper argues that medium for information access becomes central to library and information science. The author discusses the notion of medium, medium neutrality, and personalization and suggests that the dominating paradigm of providing fast, efficient, and neutral systems and services for retrieving information has sidetracked opportunities…
Descriptors: Access to Information, Information Retrieval, Search Engines, Library Education
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Reamer, Frederic G. – Journal of Social Work Education, 2019
Technology has transformed the nature of social work education. Whether it is used to supplant or supplement face-to-face instruction, social worker educators must keep pace with rapidly developing standards of practice and related ethical standards. Standards promulgated jointly by the Council on Social Work Education, National Association of…
Descriptors: Social Work, Counselor Training, Technological Literacy, Educational Change