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Direct linkAndres Felipe Zambrano; Shreya Singhal; Maciej Pankiewicz; Ryan Shaun Baker; Chelsea Porter; Xiner Liu – Information and Learning Sciences, 2025
Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…
Descriptors: Artificial Intelligence, Identification, Privacy, Information Security
Lynn Rosalina Gama Alves; William de Souza Santos – Information and Learning Sciences, 2024
Purpose: This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors. Design/methodology/approach: This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution. Findings: The results point to a…
Descriptors: Foreign Countries, Universities, Data, Information Security
Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
Leo Van Audenhove; Lotte Vermeire; Wendy Van den Broeck; Andy Demeulenaere – Information and Learning Sciences, 2024
Purpose: The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as…
Descriptors: Data Analysis, Data Collection, Information Literacy, Foreign Countries
Kumar, Priya C.; Byrne, Virginia L. – Information and Learning Sciences, 2022
Purpose: Existing privacy-related educational materials are not situated in privacy theory, making it hard to understand what specifically children learn about privacy. This article aims to offer learning objectives and guidance grounded in theories of privacy and learning to serve as a foundation for privacy literacy efforts.…
Descriptors: Privacy, Information Literacy, Information Security, Literacy Education
Charmaraman, Linda; Delcourt, Catherine Grevet; Durrani, Sidrah; Kapoor, Jyontika; Richer, Amanda M.; Xiao, Le Fan – Information and Learning Sciences, 2022
Purpose: This study aims to introduce the concept of communities of social media practice where more experienced users provide guidance to female novice users, enacting a form of legitimate peripheral participation to "onboard" newcomers. Design/methodology/approach: Through surveys with 968 early adolescents (average age was 13), the…
Descriptors: Adolescents, Females, Social Media, Novices
