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Nga Than; Leanne Fan; Tina Law; Laura K. Nelson; Leslie McCall – Sociological Methods & Research, 2025
Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…
Descriptors: Artificial Intelligence, Coding, Qualitative Research, Cues
Oscar Stuhler; Cat Dang Ton; Etienne Ollion – Sociological Methods & Research, 2025
Generative AI (GenAI) is quickly becoming a valuable tool for sociological research. Already, sociologists employ GenAI for tasks like classifying text and simulating human agents. We point to another major use case: the extraction of structured information from unstructured text. Information Extraction (IE) is an established branch of Natural…
Descriptors: Artificial Intelligence, Sociology, Social Science Research, Natural Language Processing
Ortmann, Cecilia – Learning, Media and Technology, 2022
The article seeks to provide new perspectives on the gender gap that characterizes free software, from the review of a series of experiences that have been taking place in Argentina in recent years, which aim at building bridges between free software and feminism. The empirical corpus selected for this work is built upon a series of interviews…
Descriptors: Activism, Feminism, Teaching Methods, Computer Software
Maruyama, Ryoga; Ogata, Shinpei; Kayama, Mizue; Tachi, Nobuyuki; Nagai, Takashi; Taguchi, Naomi – International Association for Development of the Information Society, 2022
This study aims to explore an educational learning environment that supports students to learn conceptual modelling with the unified modelling language (UML). In this study, we call the describing models "UML programming." In this paper, we show an educational UML programming environment for science, technology, engineering, art, and…
Descriptors: Case Studies, Programming Languages, Learning Processes, Models
Smith, David; Qayyum, M. Aslm; Hard, Natascha – International Journal for Transformative Research, 2017
Studying via the Internet using information tools is a common activity for students in higher education. With students accessing their subject material via the Internet, studies have shown that students have difficulty understanding the complete purpose of an assessment which leads to poor information search practices. The selection of relevant…
Descriptors: Case Studies, Cues, Computer Assisted Testing, Higher Education