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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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Barrick, Katie; Riegelman, Amy – College & Research Libraries, 2021
In recent years, various disciplines have engaged in efforts to increase research reproducibility including the adoption of replicable search methodologies. With the development of reporting checklists and guidelines for systematic reviews such as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement, authors…
Descriptors: Search Strategies, Punctuation, Search Engines, Reliability
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Briscoe, Simon; Abbott, Rebeca; Lawal, Hassanat; Shaw, Liz; Coon, Jo Thompson – Research Synthesis Methods, 2023
A commonly reported challenge of using Google Search to identify studies for a systematic review is the high number of results retrieved. Thus, 'stopping rules' are applied when screening, such as screening only the first 100 results. However, recent evidence shows that Google Search estimates a much higher number of results than the viewable…
Descriptors: Feasibility Studies, Search Engines, Information Retrieval, Literature Reviews
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Timothy M. Daly; James C. Ryan – International Journal for Educational Integrity, 2024
This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by…
Descriptors: Search Engines, Contracts, Cheating, Web Sites
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Cooper, Chris; Court, Rachel; Kotas, Eleanor; Schauberger, Ute – Research Synthesis Methods, 2021
Clinical trials registers form an important part of the search for studies in systematic reviews of intervention effectiveness but the search interfaces and functionality of registers can be challenging to search systematically and resource intensive to search well. We report a technical review of the search interfaces of three leading trials…
Descriptors: Databases, Medical Research, Search Engines, Computer Interfaces
Ryan E. Burton – ProQuest LLC, 2024
Within the past two decades there has been an increased amount of interest in human-centered information retrieval research beyond the traditional system-focused view embodied by Cranfield- and TREC-style evaluation. From blending search and recommender systems to work on search as learning, the limits of conventional search engines' focus on…
Descriptors: Search Engines, Information Seeking, Computer Assisted Design, Computers
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Simon Knight; Isabella Bowdler; Heather Ford; Jianlong Zhou – Information and Learning Sciences, 2024
Purpose: Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the…
Descriptors: Graphs, Search Engines, Web Sites, Design
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Healey, Mick; Healey, Ruth L. – Teaching & Learning Inquiry, 2023
There are few sources that critically evaluate the ways of reviewing the literature on scholarship of teaching and learning (SoTL). We use an academic literacies perspective as a lens with which to explore the ways that literature reviews may be undertaken. While reviewing the literature is often presented as a scientific, objective process, the…
Descriptors: Scholarship, Instruction, Learning, Search Strategies
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Ayaz, A. Salman; Venkat, Jaya A.; Gulzar, Zameer – International Journal of Information and Communication Technology Education, 2020
The information available online is mostly present in an unstructured form and search engines are indispensable tools especially in higher education organizations for obtaining information from the Internet. Various search engines were developed to help learners to retrieve the information but unfortunately, most of the information retrieved is…
Descriptors: Search Engines, Information Retrieval, Internet, Classification
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Natalia Stanusch – International Society for Technology, Education, and Science, 2023
This study offers an analysis and comparison of search results from Google concerning the topic of Artificial Intelligence (AI) in two geographically and politically different contexts: the United States and Italy. As new AI systems, tools, and solutions are developed and implemented in each sector of human life on a global scale, certain…
Descriptors: Foreign Countries, Search Engines, Artificial Intelligence, Cross Cultural Studies
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Vallez, Mari; Lopezosa, Carlos; Pedraza-Jiménez, Rafael – International Journal of Sustainability in Higher Education, 2022
Purpose: Universities play an important role in the promotion and implementation of the 2030 Agenda for Sustainable Development. This study aims to examine the visibility of information about the Sustainable Development Goals (SDGs) on the websites of Spanish and major international universities, by means of a quantitative and qualitative analysis…
Descriptors: Universities, Web Sites, Sustainable Development, Content Analysis
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Veale, Clinton G. L. – Journal of Chemical Education, 2022
The shift to online education has dealt several important pedagogical lessons in a very short time frame, none more so than approaches to assessments. This experience, coupled to improved access to education, will likely see online assessments remain as a major component of modern mainstream education. The powerful technologies that facilitate the…
Descriptors: Visual Aids, Search Engines, Computer Assisted Testing, Chemistry
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Healey, Mick; Healey, Ruth L. – Teaching & Learning Inquiry, 2023
There are few references that critically evaluate the different ways of searching the literature on scholarship of teaching and learning (SoTL), or how these are related to researchers' goals. We use an academic literacies perspective as a lens with which to explore the different ways that literature searches may be undertaken. While searching the…
Descriptors: Scholarship, Instruction, Learning, Search Strategies
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Stanley-Gray, Jacob; Zhang, Zhaojie; Venkataraman, D. – Journal of Chemical Education, 2021
We have updated a version of the coordination geometry table of the d-block elements and their ions that Moore and co-workers presented in 1997. This table is constructed by searching and analyzing the data in the Cambridge Structural Database. In this updated version, we have also analyzed impact of ligands on the coordination geometry and…
Descriptors: Geometry, Geometric Concepts, Chemistry, Search Engines
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Usta, Arif; Altingovde, Ismail Sengor; Ozcan, Rifat; Ulusoy, Ozgur – IEEE Transactions on Learning Technologies, 2021
In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines over these collections. In modern Web search engines, high-quality rankings are obtained by applying machine learning…
Descriptors: Search Engines, Online Searching, Information Retrieval, Educational Research
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