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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
Paul Marty – 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
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
Niels Kerssens; T. Philip Nichols; Luci Pangrazio – Learning, Media and Technology, 2024
The 'googlization' of education is emblematic of the growing power of private tech companies in schools across the globe, challenging education as a public good. While critical scholarship has started unpacking the ideological, pedagogical and economical logics underpinning Google's digital infrastructure in schools, we have little insight into…
Descriptors: Foreign Countries, Internet, Corporations, Access to Information
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
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