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Full-Text Articles in Education
Learning To Notice Mathematics Instruction: Using Video To Develop Preservice Teachers' Vision Of Ambitious Pedagogy, Elizabeth Van Es, Ana Auger, Tara Barnhart, Mary Cashen
Learning To Notice Mathematics Instruction: Using Video To Develop Preservice Teachers' Vision Of Ambitious Pedagogy, Elizabeth Van Es, Ana Auger, Tara Barnhart, Mary Cashen
Education Faculty Articles and Research
Video is used extensively in teacher preparation, raising questions about what and how preservice teachers learn through video observation and analysis. We investigate the development of candidates' noticing of ambitious mathematics pedagogy in the context of a video-based course designed to cultivate ways of seeing and interpreting classroom interactions. Qualitative analysis of candidates' observations of teaching at the beginning and end of the course generated a framework of practices and associated approaches for noticing instructional interactions. The 3 practices include attending to features of instruction, elaborating on observations, and integrating observations to reason about instruction. Findings reveal …
Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.
Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.
Journal of Aviation/Aerospace Education & Research
This paper contributes to a growing body of work related to the Conversation Analytic Role-play Method (CARM) by studying the primary flight instruction environment to create training interventions related to radio communications and flight instruction practices. Framed in the context of conversation analysis, an approach to the detailed analysis of naturally occurring interaction, the large-scale, long-duration qualitative audio/video data collection and coding methodology is discussed, followed by trends identified in the ongoing study. The concept of CARM “trainables” are discussed with examples. The study shows that large-scale qualitative datasets may be leveraged to produce valuable data-driven training interventions.