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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
Mahir Akgün; Sacip Toker – SAGE Open, 2025
In this study, we seek to contribute to a broader understanding of the processes and contexts that lead to inflated judgments of cognitive ability in human-computer partnerships. We conducted a within-subject experiment design study with 164 college students in order to explore the impact of the search experience on cognitive self-esteem (CSE).…
Descriptors: Search Strategies, Self Efficacy, Cognitive Ability, Self Esteem
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
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
adam patrick bell – Action, Criticism, and Theory for Music Education, 2025
In this article I examine the generative AI music-making applications of Google called MusicFX DJ and Music AI Sandbox, as well as Udio, an end-to-end generative AI music system created by ex-Google employees. I frame these generative AI music systems designed by Big Tech as part of their neoliberal agenda, which involves influencing music…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Educational Technology
Abdelmadjid Benmachiche; Abdelhadi Sahia; Soundes Oumaima Boufaida; Khadija Rais; Makhlouf Derdour; Faiz Maazouzi – Education and Information Technologies, 2025
In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…
Descriptors: MOOCs, Natural Language Processing, Artificial Intelligence, Search Engines
Yu Gou; Luyan Teng; Haohong Nie – SAGE Open, 2025
The rapid development of the Internet has made search engines the preferred way for people to obtain information. As the world's largest Chinese search engine, Baidu Index developed by Baidu is an important data analysis platform. Similar to Google Trends, Baidu Index is a data tool based on data that provides the display frequency and related…
Descriptors: Bullying, Search Engines, Trend Analysis, Geographic Location
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
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
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
What Works Clearinghouse, 2024
The What Works Clearinghouse (WWC) serves as a central and trusted source of scientific evidence for what works in education. The WWC designs its resources to help educators, administrators, families, researchers, and policymakers make evidence-based decisions. In fall 2023, the WWC convened the Small Working Group of Experienced Education…
Descriptors: Educational Research, Clearinghouses, Federal Programs, Program Effectiveness
Hoa Duong Quang; Hieu Ha Van; Khang Do Ba; Quy Nguyen Huu; Thang Phan Vo Minh; Loc Pham Quoc – Journal of Educators Online, 2025
During COVID-19 lockdowns, Vietnamese universities, like elsewhere, were compelled by social distancing rules to transition from on-site to online education, including examinations. However, many of these universities were not prepared for such sudden and drastic changes. This situation raises questions about if and how the students' cheating…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Student Behavior
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
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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