The integration of artificial intelligence (AI) tools in educational environments presents creative chances to improve mathematics education in elementary schools. This mixed-method study investigates the use of artificial intelligence tools in elementary mathematics classrooms. Complementing qualitative data from semi-structured interviews, the…

The use of educational technologies in English language teaching (ELT) has become widely accepted in the post-pandemic era, and, for better or worse, some of these technologies rely on artificial intelligence (AI). As an area of technological growth and increasing financial investment, we are likely to see more AI-driven technologies in teaching…

The increased accessibility of technology is often employed as rationale for data extraction and surveillance. This paper examines critical perspectives on surveillance and educational technologies from Library and Information Science (LIS) literature, as well as those from disability studies that concern technology development more broadly. This…

The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…

The American College Personnel Association recognized the increased prominence of digital technologies in student affairs work, developing a technology competency area that includes foundational, intermediate, and advanced objectives for data use. However, as the role of technology use in student affairs practice rapidly changes, it is…

The objective of this project was to learn what elements of a systemic-focused implementation guide are key to facilitating the involvement of families and faculty in rural southeastern North Carolina elementary schools as an intervention to reduce the use of exclusionary discipline for children's externalized behavior in school. Guided by the…

This paper offers an analysis of the narrative emerging from nearly 11,000 tweets related to the scandal surrounding Cambridge Analytica and Facebook. The narrative analysis demonstrates that the users were annoyed with the way their information was used but were also unhappy with the fact that users need to be more mindful and attentive of the…

This Information Technology Specialist Resource List provides resources on understanding the role of information technology specialists in supporting school safety before, during, and after an emergency. Resources are organized into the following categories: (1) Cybersecurity and Cyber Safety Considerations for Schools and Districts; (2)…

In a context where current forms of governance and polity across many societies are engaging with 'platformisation', the paper argues that the utility and consequences of using a theory of pedagogy can provide a different way to explain how digital technology might 'determine' subjectivity. This paper describes the key process of how platforms…

We studied the impact of introducing first-year computer science (CS) students to ethical thinking about the social justice impacts of data collection, tracking, bias, internet privacy, and competitive "real world" system design and critique activities. While basic content was consistent for all, one group was involved throughout the…

Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…

This study aims to examine science teachers' views and concerns about artificial intelligence (AI). Phenomenology design, one of the qualitative research method designs, was used in the study. The study group consisted of five science teachers, one doctoral and four master's degree graduates. Semi-structured interview was preferred as a data…

With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…

This study examined the ethical considerations researchers have made when investigating MOOC learners' and teachers' Twitter activity. In so doing, it sought to addresses the lack of an evidence-based understanding of the ethical implications of research into Twitter as a site of teaching and learning. Through an analysis of 31 studies, we present…

Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…