While there is a vast literature that considers the collection and analysis of qualitative data,
there has been limited attention to audio transcription as part of this process. In this paper, I …

Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …

Data transcription is often depicted as an essential and critical stage in qualitative research.
As most researchers have experienced, it requires significant time and human resource …

This paper introduces two new large corpora comprised of YouTube Automatic Speech
Recognition (ASR) transcripts of the speech of videos from geographically localized …

This article reports on the barriers and drivers of online micro-course (oMC) professional
development in a Middle East college. Semi-structured interviews with teachers yield a rich …

Interviews are an established research method across multiple disciplines. Such interviews
are typically transcribed orthographically in order to facilitate analysis. Many novice …

Technological tools that provide automated feedback on classroom teaching afford a unique
opportunity for educators to engage in self-reflection and work towards improvement goals …

Background: Transcription of audio files in mental health research has historically been
labor-intensive and prone to error. The advent of advanced language models, such as …

Police use of force against minorities, particularly African-Americans, has become a
prominent national issue in the United States. In a number of controversial instances, such …

The rise of audio-as-data in social science research accentuates a fundamental challenge:
establishing reproducible and reliable methodologies to guide this emerging area of study …