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Download full textJacob Whitehill; Jennifer LoCasale-Crouch – Journal of Educational Data Mining, 2024
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…
Descriptors: Artificial Intelligence, Teacher Evaluation, Models, Transcripts (Written Records)
Direct linkBavin, Edith L.; Grayden, David B.; Scott, Kim; Stefanakis, Toni – Language and Speech, 2010
Infants' auditory processing abilities have been shown to predict subsequent language development. In addition, poor auditory processing skills have been shown for some individuals with specific language impairment. Methods used in infant studies are not appropriate for use with young children, and neither are methods typically used to test…
Descriptors: Intervals, Speech Impairments, Testing, Young Children
LaFrance, Danielle; Wilder, David A.; Normand, Matthew P.; Squires, James L. – Analysis of Verbal Behavior, 2009
The current study examined the effectiveness of an experimental functional analysis for assessing the functions of emergent vocal-verbal behavior in children with developmental disabilities. Experiment 1 consisted of a systematic replication of Lerman et al. (2005). Participants were 3 children with developmental disabilities, between the ages of…
Descriptors: Research Design, Verbal Stimuli, Mental Retardation, Developmental Disabilities
