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Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content
Crosson, Amy C.; McKeown, Margaret G.; Robbins, Kelly P.; Brown, Kathleen J. – Grantee Submission, 2019
Purpose: In this clinical focus, the authors argue for robust vocabulary instruction with emergent bilingual learners both in inclusive classroom settings and in clinical settings for emergent bilinguals with language and literacy disorders. Robust vocabulary instruction focuses on high-utility academic words that carry abstract meanings and…
Descriptors: Vocabulary Development, Bilingualism, Inclusion, Teaching Methods
Crosson, Amy C.; McKeown, Margaret G. – Grantee Submission, 2016
This study investigated how middle school students leverage information about bound Latin roots (e.g., voc in "advocate" and "vociferous") to infer meanings of unfamiliar words, and how instruction may facilitate morphological analysis using roots. A dynamic assessment of morphological analysis was administered to 29 sixth…
Descriptors: Middle School Students, Metalinguistics, Latin, Inferences
Lipschultz, Michael; Litman, Diane; Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Semantics, Abstract Reasoning