Objective To review empirical studies that assess saturation in qualitative research in order
to identify sample sizes for saturation, strategies used to assess saturation, and guidance we …

Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

Generative artificial intelligence (GenAI) tools have become increasingly accessible and
have impacted school education in numerous ways. However, most of the discussions occur …

The concept of data saturation, defined as 'information redundancy'or the point at which no
new themes or codes 'emerge'from data, is widely referenced in thematic analysis (TA) …

During the pandemic, school and university students had to urgently move away from
traditional classrooms to online learning in their homes. Student engagement that can be …

Systematic analyses of messages can useful to researchers in two main ways–to investigate
already-existing messages (eg, social media postings, news stories) and to draw …

There has been considerable recent interest in methods of determining sample size for
qualitative research a priori, rather than through an adaptive approach such as saturation …

From 1995–2016, there has been a 15-fold increase in qualitative scholarship in the social
sciences, but the rigor and quality of published work has ranged widely. Little scholarship …

The teaching of artificial intelligence (AI) topics in school curricula is an important global
strategic initiative in educating the next generation. As AI technologies are new to K-12 …

The authors present how to construct a mini-ethnographic case study design with the benefit
of an ethnographic approach bounded within a case study protocol that is more feasible for …