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Samra Maqbool; Hafiz Muhammad Ihsan Zafeer; Sufyan Maqbool; Ayesha Tariq; Amjad Islam Amjad; Nadia Rehman; Usama Kalim – International Journal of Education in Mathematics, Science and Technology, 2025
This study developed a comprehensive bibliometric framework by integrating data from Scopus, Web of Science, and Google Scholar, leveraging the unique strengths of each platform. The dataset, comprising 6,000 papers, was proportionally distributed across the three sources, with 40% from Scopus and 30% each from Web of Science and Google Scholar.…
Descriptors: Artificial Intelligence, Periodicals, Bibliographic Databases, Citations (References)
Hatoon S. AlSagri; Faiza Farhat; Shahab Saquib Sohail; Abdul Khader Jilani Saudagar – Journal of Academic Ethics, 2025
The rapid evolution of scientific research has created a pressing need for efficient and versatile tools to aid researchers. While using artificial intelligence (AI) to write scientific articles is unethical and unreliable due to the potential for inaccuracy, AI can be a valuable tool for assisting with other aspects of research, such as language…
Descriptors: Artificial Intelligence, Computer Software, Comparative Analysis, Technical Writing
Susan G. Archambault – Communications in Information Literacy, 2023
Traditional information literacy skills (e.g., effectively finding and evaluating information) need to be updated due to the rapidly changing information ecosystem and the growing dominance of online platforms that use algorithms to control and shape information. This article proposes additions to the current ACRL "Framework for Information…
Descriptors: Information Literacy, Algorithms, Standards, Academic Libraries
Ronal Watrianthos; Selamat Triono Ahmad; Mukhlidi Muskhir – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article…
Descriptors: Artificial Intelligence, Bibliometrics, Trend Analysis, Educational Research
Özcan, Halil Ziya; Batur, Zekerya – International Journal of Education and Literacy Studies, 2021
Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who…
Descriptors: Bibliometrics, Journal Articles, Difficulty Level, Reading Comprehension
Magnisalis, I.; Demetriadis, S.; Karakostas, A. – IEEE Transactions on Learning Technologies, 2011
This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…
Descriptors: Evidence, Instructional Design, Bibliographic Databases, Classification
Peer reviewedGauch, Susan – Journal of the American Society for Information Science, 1992
Discusses the application of artificial intelligence to online information retrieval systems and describes several systems: (1) CANSEARCH, from MEDLINE; (2) Intelligent Interface for Information Retrieval (I3R); (3) Gausch's Query Reformulation; (4) Environmental Pollution Expert (EP-X); (5) PLEXUS (gardening); and (6) SCISOR (corporate…
Descriptors: Artificial Intelligence, Bibliographic Databases, Cancer, Computer Science
Doszkocs, Tamas E.; Toliver, David – Canadian Journal of Information Science, 1987
The first of two papers discusses natural language searching as a user performance enhancement tool, focusing on artificial intelligence applications for information retrieval and problems with natural language processing. The second presents a conceptual framework for further development and future design of front ends to online bibliographic…
Descriptors: Artificial Intelligence, Bibliographic Databases, Information Retrieval, Lexicology
Vijayaraman, Bindiganavale S.; Osyk, Barbara – 1997
This paper is a survey of publications on artificial neural networks published in business journals for the period ending July 1996. Its purpose is to identify and analyze trends in neural network research during that period. This paper shows which topics have been heavily researched, when these topics were researched, and how that research has…
Descriptors: Artificial Intelligence, Bibliographic Databases, Bibliometrics, Business

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