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Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
Parks, Louisa; Peters, Wim – International Journal of Social Research Methodology, 2023
The ever-increasing application of Digital Humanities techniques to social scientific research questions calls for continuous reflection on how they can contribute to scholarly research in combination with other more common text analysis methods. This article explores the various dimensions along which scholarly text analysis can be performed,…
Descriptors: Natural Language Processing, Humanities, Social Science Research, Content Analysis
Sam Sedaghat – Journal of Academic Ethics, 2025
Chatbots such as ChatGPT have the potential to change researchers' lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors' credibility could be tarnished if wrong content is presented in…
Descriptors: Plagiarism, Artificial Intelligence, Medical Research, Error Patterns
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
Kiener, Fabienne; Gnehm, Ann-Sophie; Clematide, Simon; Backes-Gellner, Uschi – Journal of Education and Work, 2022
We use vocational training curricula to investigate how IT skills are trained within broader "skills packages" and how these relate to labour market outcomes. Skills packages are the typical combinations of IT skills (e.g., CNC) and technical or nontechnical skills (e.g., material sciences or work safety) that are jointly required in the…
Descriptors: Information Technology, Job Skills, Vocational Education, Labor Market
Quílez, Juan – Science & Education, 2021
This study discusses how textbook educational approaches concerning Le Châtelier's principle (LCP) may hinder student comprehension and prediction of chemical equilibrium disturbances. Firstly, after summarising students' LCP erroneous assertions/explanations, a categorisation of the potential barriers that may originate student misunderstandings…
Descriptors: Chemistry, Barriers, Science Instruction, Textbooks
Coppola, Cristina; Mollo, Monica; Pacelli, Tiziana – European Journal of Psychology of Education, 2019
This paper presents a Vygotskian research device that focuses on collaborative activities based on the manipulation of linguistic objects in a primary school classroom, with 8-9-year-old children. Through social exchanges among the different points of view, the children were engaged in a dynamic process of building and negotiating mathematical…
Descriptors: Language Skills, Elementary School Students, Semantics, Syntax
Cai, Zhenguang G.; Sturt, Patrick; Pickering, Martin J. – Language and Cognitive Processes, 2012
Are comprehenders affected by an alternative analysis that they do not adopt (a nonadopted analysis) in case of syntactic ambiguity? If the processor only considers and maintains the preferred analysis at a given time, an alternative analysis is then not considered and will hence not affect processing. In two experiments, we examined the…
Descriptors: Language Processing, Sentences, Comprehension, Ambiguity (Semantics)
Yu, Chong Ho; Jannasch-Pennell, Angel; DiGangi, Samuel – Qualitative Report, 2011
The objective of this article is to illustrate that text mining and qualitative research are epistemologically compatible. First, like many qualitative research approaches, such as grounded theory, text mining encourages open-mindedness and discourages preconceptions. Contrary to the popular belief that text mining is a linear and fully automated…
Descriptors: Grounded Theory, Qualitative Research, Content Analysis, Information Retrieval
Crismore, Avon – 1984
An organizational framework consisting of the following four components is useful in exploring questions about improving textbooks: learner characteristics, learning activities, the critical task (for measuring student performance), and the nature of the materials. In considering learning characteristics and the materials, it is important to…
Descriptors: Cognitive Processes, Content Analysis, Content Area Reading, Elementary Secondary Education