Penciling, a technique used to anonymize images for both human and machine vision, offers an opportunity to reduce technical traceability and retain visual data for online and social media research contexts. Drawing on methods for creating composite narrative and visual accounts to preserve participant anonymity, penciling enables researchers to…

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…

Student data is an invaluable asset for driving educational success, yet it comes with significant responsibility. As states explore ways to enhance data privacy protections, they must strike a balance between safeguarding sensitive information and leveraging data for student success. This brief examines the best practices in student data privacy…

Over the last two decades, online safety education has emerged as a new field of research focusing on concerns about a myriad of cyber risks. These risks range from online sexual exploitation through to the reproduction of social inequalities. The main assumption underlying this field is that online risks can be mitigated via educational…

At the forefront of industries profoundly influenced by artificial intelligence (AI), public relations (PRs) are undergoing a transformative revolution. The increasing applications of AI in PRs are driving a demand for proficient practitioners. Recognizing this, PR educational institutions must adapt by delivering tailored AI education. Despite…

This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…

Data ethics have emerged as an essential topic in education. Educators must know how to use data effectively and responsibly. This is a complex and systemic issue that involves bringing awareness to all stakeholders, building human capacity, modifying policy, and considering equitable solutions to data use. This article posits an initial framework…

The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…

This article applies Foucault's theories of surveillance, disciplinary power, and normalisation to examine the shifting power dynamics in AI-mediated education. Drawing on qualitative responses from 27 English and Chinese-speaking stakeholders, including students, teachers, administrators and parents with no geographical restrictions, this study…

In recent times, the rapid growth of e-learning has brought about increased concerns regarding cybersecurity risks within digital learning environments. Despite the growing importance of cybersecurity awareness among e-learning students, there is limited research on the factors that influence students' understanding and adherence to cyber safety…

Purpose: The growth of the internet, access to technology and rapid digital transformations have paved the way for developing attack surfaces for individuals and organizations. There is a dire need to provide cybersecurity awareness most effectively. Gamification-based platforms have evolved to make cybersecurity education more engaging and…

Purpose: This study aims to investigate the challenges associated with the integration and implementation of blockchain technology in the education sector. The primary objective is to identify and categorize these challenges using the Technology-Organization-Environment (TOE) framework, shedding light on the technological, organizational and…

Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…

To explore the opportunities and challenges of artificial intelligence (AI) in nursing and its impact. Bibliographic review using Arksey and O'Malley's framework, enhanced by Levac, Colquhoun and O'Brien and following PRISMA guidelines, including qualitative and mixed studies. MeSH terms and keywords such as nursing education and ethical…

Artificial Intelligence (AI) has seen a significant rise in public use since the release of ChatGPT in November of 2022. Higher education institutions (HEI) have struggled to negotiate how best to manage AI technologies within their academic communities, acknowledging both positive and negative impacts of AI on education. Focused primarily on…