In this study, I compare the accuracy of automatic speech recognition (ASR) transcription against two measures of intelligibility provided by human listeners. The data came from readings of five texts recorded by 15 language learners of French. Human understanding was gauged by (i) asking a group of 36 naïve first language (L1) speakers of French…

The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of…

This article presents research focused on establishing ways that dialogic talk between teachers and students promotes mathematical reasoning in early years classrooms. Data are drawn from recorded and transcribed Year 1 mathematics lessons. Conversation analysis provides close examination of the talk-in-interaction practices of teachers and…

In this study, our team observed sixth grade teachers as they taught fractions to students in their mathematics intervention classes to see whether they were including motivational-supportive messages within the framework of Situated Expectancy-Value Theory. Messages in the intervention lessons and teacher transcripts were explored and analyzed,…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

Tactile graphics convert visual information into touchable patterns and braille, providing an essential solution for accessible graphics for individuals with visual impairments. Pioneering research advocates for the potential of audio-augmented tactile graphics, which convey complex information through auditory and tactile modalities rather than…

This project explored the reliability and utility of transcription in coding qualitative data across two studies in a program evaluation context. The first study tested the method of direct audio coding, or coding audio files without transcripts, using qualitative data software. The presence and frequency of codes applied in direct audio coding…

A fundamental component of research on learning is understanding processes of performance. One typical method of studying how and why people perform in particular ways is to record audio or video of those processes. Research methodologies that rely on audio or video data start with recording phenomena (events) researchers are interested in. After…

This paper presents a workflow integrating the linguistic software ELAN and FLEx. This workflow allows the user to move between these two software applications to refine the transcription, translation, and annotation of the speech of multiple participants. The workflow also enables the addition of multiple writing systems for vernacular and…

This research explores the experience of 81 elementary pre-service teachers who transcribed their microteaching lessons during a university mathematical methods course. Pre-service teachers were required to plan and teach mathematics lessons. They audio-recorded their teaching, transcribed the recordings, wrote guided reflections, and conversed…

This article details the transcription process we developed to handle bimodal and multilingual interview data collected during our research into the teacher language awareness (TLA) of two high-quality teachers in a Swedish bilingual school for the deaf. Both teachers used a combination of spoken Swedish, spoken English, and Teckenspråk (Sweden's…

This study introduces a new methodology for integrating musical and linguistic data in language documentation, using ABC notation and open-source tools like ELAN and MuseScore. Designed for portability and exportability, and to facilitate both linguistic analysis and community-oriented material development, this methodology is used here to explore…

Generating accurate word-level transcripts of recorded speech for language documentation is difficult and time-consuming, even for skilled speakers of the target language. Automatic speech recognition (ASR) has the potential to streamline transcription efforts for endangered language documentation, but the practical utility of ASR for this purpose…

Despite suggestions being a common speech act used by writing center tutors, very limited research is available on the use of suggestions in online writing center practice. Drawing upon multiple sources of data including the chat transcript, screen recording of the session, and final revised version of the writer's text, this case study explores…